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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">biotecnia</journal-id>
			<journal-title-group>
				<journal-title>Biotecnia</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Biotecnia</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="epub">1665-1456</issn>
			<publisher>
				<publisher-name>Universidad de Sonora, División de Ciencias Biológicas y de la Salud</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.18633/biotecnia.v26.2197</article-id>
			<article-id pub-id-type="publisher-id">00036</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Articles</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Potential of <italic>Verrucodesmus verrucosus</italic> in the removal of nitrogen and phosphorus structures from pig farms wastewater</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>Potencial de <italic>Verrucodesmus verrucosus</italic> en la remoción de estructuras de nitrógeno y fósforo de aguas residuales de granjas porcinas</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0009-0009-0422-1218</contrib-id>
					<name>
						<surname>Zenteno Carballo</surname>
						<given-names>Ana Gabriela</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-8345-2392</contrib-id>
					<name>
						<surname>Sánchez Roque</surname>
						<given-names>Yazmin</given-names>
					</name>
					<xref ref-type="aff" rid="aff1b"><sup>1</sup></xref>
					<xref ref-type="corresp" rid="c1">*</xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-8073-3209</contrib-id>
					<name>
						<surname>Saldaña Trinidad</surname>
						<given-names>Sergio</given-names>
					</name>
					<xref ref-type="aff" rid="aff1c"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-0700-5213</contrib-id>
					<name>
						<surname>Canseco Pérez</surname>
						<given-names>Miguel Angel</given-names>
					</name>
					<xref ref-type="aff" rid="aff1d"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-4394-4311</contrib-id>
					<name>
						<surname>Berrones Hernández</surname>
						<given-names>Roberto</given-names>
					</name>
					<xref ref-type="aff" rid="aff1e"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-3882-6660</contrib-id>
					<name>
						<surname>Pérez Luna</surname>
						<given-names>Yolanda del Carmen</given-names>
					</name>
					<xref ref-type="aff" rid="aff1f"><sup>1</sup></xref>
				</contrib>
			</contrib-group>
				<aff id="aff1">
					<label>1</label>
					<institution content-type="original">Research laboratory, Universidad Politécnica de Chiapas, Carretera Tuxtla-Villaflores KM. 1+500, Las Brisas, C. P. 29150, Suchiapa, Chiapas, México.</institution>
					<institution content-type="normalized">Universidad Politécnica de Chiapas</institution>
					<institution content-type="orgdiv1">Research laboratory</institution>
					<institution content-type="orgname">Universidad Politécnica de Chiapas</institution>
					<addr-line>
					<named-content content-type="city">Suchiapa</named-content>
					<named-content content-type="state">Chiapas</named-content>
					</addr-line>
					<country country="MX">Mexico</country>
					<email>gzenteno@ia.upchiapas.edu.mx</email>
				</aff>
				<aff id="aff1b">
					<label>1</label>
					<institution content-type="original">Research laboratory, Universidad Politécnica de Chiapas, Carretera Tuxtla-Villaflores KM. 1+500, Las Brisas, C. P. 29150, Suchiapa, Chiapas, México. </institution>
					<institution content-type="normalized">Universidad Politécnica de Chiapas</institution>
					<institution content-type="orgdiv1">Research laboratory</institution>
					<institution content-type="orgname">Universidad Politécnica de Chiapas</institution>
					<addr-line>
					<named-content content-type="city">Suchiapa</named-content>
					<named-content content-type="state">Chiapas</named-content>
					</addr-line>
					<country country="MX">Mexico</country>
					<email>ysanchez@ia.upchiapas.edu.mx</email>
				</aff>
				<aff id="aff1c">
					<label>1</label>
					<institution content-type="original">Research laboratory, Universidad Politécnica de Chiapas, Carretera Tuxtla-Villaflores KM. 1+500, Las Brisas, C. P. 29150, Suchiapa, Chiapas, México.</institution>
					<institution content-type="normalized">Universidad Politécnica de Chiapas</institution>
					<institution content-type="orgdiv1">Research laboratory</institution>
					<institution content-type="orgname">Universidad Politécnica de Chiapas</institution>
					<addr-line>
					<named-content content-type="city">Suchiapa</named-content>
					<named-content content-type="state">Chiapas</named-content>
					</addr-line>
					<country country="MX">Mexico</country>
					<email>ssaldana@upchiapas.edu.mx</email>
				</aff>
				<aff id="aff1d">
					<label>1</label>
					<institution content-type="original">Research laboratory, Universidad Politécnica de Chiapas, Carretera Tuxtla-Villaflores KM. 1+500, Las Brisas, C. P. 29150, Suchiapa, Chiapas, México.</institution>
					<institution content-type="normalized">Universidad Politécnica de Chiapas</institution>
					<institution content-type="orgdiv1">Research laboratory</institution>
					<institution content-type="orgname">Universidad Politécnica de Chiapas</institution>
					<addr-line>
					<named-content content-type="city">Suchiapa</named-content>
					<named-content content-type="state">Chiapas</named-content>
					</addr-line>
					<country country="MX">Mexico</country>
					<email>mcanseco@ia.upchiapas.edu.mx</email>
				</aff>
				<aff id="aff1e">
					<label>1</label>
					<institution content-type="original">Research laboratory, Universidad Politécnica de Chiapas, Carretera Tuxtla-Villaflores KM. 1+500, Las Brisas, C. P. 29150, Suchiapa, Chiapas, México.</institution>
					<institution content-type="normalized">Universidad Politécnica de Chiapas</institution>
					<institution content-type="orgdiv1">Research laboratory</institution>
					<institution content-type="orgname">Universidad Politécnica de Chiapas</institution>
					<addr-line>
					<named-content content-type="city">Suchiapa</named-content>
					<named-content content-type="state">Chiapas</named-content>
					</addr-line>
					<country country="MX">Mexico</country>
					<email>rberrones@upchiapas.edu.mx</email>
				</aff>
				<aff id="aff1f">
					<label>1</label>
					<institution content-type="original">Research laboratory, Universidad Politécnica de Chiapas, Carretera Tuxtla-Villaflores KM. 1+500, Las Brisas, C. P. 29150, Suchiapa, Chiapas, México.</institution>
					<institution content-type="normalized">Universidad Politécnica de Chiapas</institution>
					<institution content-type="orgdiv1">Research laboratory</institution>
					<institution content-type="orgname">Universidad Politécnica de Chiapas</institution>
					<addr-line>
					<named-content content-type="city">Suchiapa</named-content>
					<named-content content-type="state">Chiapas</named-content>
					</addr-line>
					<country country="MX">Mexico</country>
					<email>yperez@upchiapas.edu.mx</email>
				</aff>
			<author-notes>
				<corresp id="c1">
					<label><sup>*</sup></label>Author for correspondence: Yolanda del Carmen Pérez Luna, Yazmin Sánchez Roque. e-mail: <email>yperez@upchiapas.edu.mx</email>; <email>ysanchez@ia.upchiapas.edu.mx</email>
				</corresp>
				<fn fn-type="conflict" id="fn1">
					<p><bold>CONFLICTS OF INTEREST</bold></p>
					<p>The authors have no financial conflicts of interest to declare.</p>
				</fn>
			</author-notes>
			<!--<pub-date date-type="pub" publication-format="electronic">
				<day>31</day>
				<month>05</month>
				<year>2024</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">
				<year>2024</year>
			</pub-date>-->
			<pub-date pub-type="epub-ppub">
				<year>2024</year>
			</pub-date>
			<volume>26</volume>
			<elocation-id>e2197</elocation-id>
			<history>
				<date date-type="received">
					<day>13</day>
					<month>11</month>
					<year>2023</year>
				</date>
				<date date-type="accepted">
					<day>02</day>
					<month>04</month>
					<year>2024</year>
				</date>
				<date date-type="pub">
					<day>03</day>
					<month>05</month>
					<year>2024</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc-sa/4.0/" xml:lang="en">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
				</license>
			</permissions>
			<abstract>
				<title>Abstract</title>
				<p><italic>Verrucodesmus verrucosus</italic> in residual water from a pig farm located in Suchiapa, Chiapas, Mexico, was evaluated as a mixotrophic culture medium. The evaluation was carried out for 40 days, under a 12:12 light / dark cycle; two growth stages were evaluated (piglet and fattening) and the 50:50 mixture of these, as well as to the residual water two pre-treatments were applied, this consisted of a filtration process using a 15 µm diameter nylon filter and a sterilization process. The microalgal species <italic>Verrucodesmus verrucosus</italic> was shown to have bioremediation potential by growing in wastewater and producing biomass, demonstrating high efficiency in removing contaminants. The maximum Chemical Oxygen Demand (COD) removal was in the Ps treatment (sterile piglet) where the removal of 96.8 % was reached, while the Biochemical Oxygen Demand (BOD) had a maximum removal of 96.7 % in the Pf treatment (filtered piglet). The removal of total nitrogen, ammonia and nitrate was demonstrated with a percentage of 85.5 %, 74 % and 91 % respectively. As for the maximum removal of phosphorus and phosphate, they reach values of 97.9 % and 82 % respectively. On the other hand, it was possible to demonstrate the antagonistic capacity of this microalgae with respect to <italic>Escherichia coli,</italic> where 100 % elimination was achieved.</p>
			</abstract>
			<trans-abstract xml:lang="es">
				<title>Resumen</title>
				<p>En la presente investigación se evaluó el potencial de biorremediación de la especie de microalga <italic>Verrucodesmus verrucosus</italic> en aguas residuales de una granja porcina ubicada en Suchiapa, Chiapas, México, como medio de cultivo mixotrófico. La evaluación se realizó durante 40 d, bajo el ciclo 12:12 luz/ oscuridad, se evaluaron dos etapas de crecimiento (lechón y engorde) y la mezcla 50:50 de estos, así también al agua residual se le realizaron dos pretratamientos, estos consistieron en un proceso de filtración mediante un filtro de nylon de 15 µm de diámetro y un proceso de esterilización. Se demostró que la especie de microalgas <italic>Verrucodesmus verrucosus</italic> tiene potencial de biorremediación al crecer en aguas residuales y producir biomasa, demostrando una alta eficiencia en la eliminación de contaminantes. La máxima remoción de la Demanda Química de Oxígeno (DQO) fue en el tratamiento Ps (lechón estéril) donde se alcanzó la remoción del 96,8 %, mientras que la Demanda Bioquímica de Oxígeno (DBO) tuvo una remoción máxima del 96,7 % en el tratamiento Pf (lechón filtrado). Se demostró la remoción de nitrógeno total, amoniaco y nitrato con un porcentaje de 85.5 %, 74 % y 91 % respectivamente. En cuanto a la remoción máxima de fósforo y fosfato, alcanzan valores de 97.9 % y 82 % respectivamente. Por otro lado, se pudo demostrar la capacidad antagónica de esta microalga con respecto a <italic>Escherichia coli</italic>, donde se logró el 100 % de eliminación.</p>
			</trans-abstract>
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd>Biomass</kwd>
				<kwd>maximum removal</kwd>
				<kwd>mixotrophic</kwd>
				<kwd>wastewater</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<title>Palabras clave:</title>
				<kwd>Biomasa</kwd>
				<kwd>eliminación máxima</kwd>
				<kwd>mixotrófico</kwd>
				<kwd>aguas residuales</kwd>
			</kwd-group>
			<counts>
				<fig-count count="4"/>
				<table-count count="4"/>
				<equation-count count="2"/>
				<ref-count count="40"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>Introduction</title>
			<p>At present, there is an exponential increase in swine farms around the world to meet the increasing demand for proteins, resulting in a significant amount of swine/piggery wastewater (<xref ref-type="bibr" rid="B19">Nagarajan <italic>et al</italic>., 2019</xref>), which has become a serious environmental concern, due to the high levels of nutrients and toxic contaminants that significantly impact on the ecosystem and public health (<xref ref-type="bibr" rid="B7">Cheng <italic>et al</italic>., 2019</xref>). </p>
			<p>Swine wastewater is categorized as one of the agricultural wastewaters with high contents of organics and nutrients including nitrogen and phosphorus, which may lead to environmental eutrophication. So too in slaughterhouse process, and wastewaters are considered as a hotspot for antibiotic-resistant bacteria and antimicrobial residues and may thus play an important role for their dissemination into the environment (<xref ref-type="bibr" rid="B3">Banach <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="B17">Li <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="B29">Savin <italic>et al</italic>., 2020</xref>). In this sense, insufficient technologies to remove those nutrients could lead to environmental problems after discharge. Several physical and chemical methods have been applied to treat the swine wastewater, the degradation capacity of these conventional treatment technologies is limited, especially regarding heavy metals, nutrients, and xenobiotics, steering the researchers to bioremediation using microalgae (Phycoremediation). In this sense, bioremediation can be defined as the use of microalgae for removal or biotransformation of pollutants and CO<sub>2</sub> from wastewater with concomitant biomass production. Bioremediation with microalgae is particularly effective because of their capabilities of converting solar energy into useful biomasses and assimilate nutrients such as phosphorus and nitrogen which cause eutrophication in the photosynthesis process. In tertiary wastewater treatment, microalgae offer an effective low-cost approach to remove contaminants and excess nutrients, and produce potentially valuable biomass, because of its high ability for inorganic nutrient uptake, showing high ability to remove inorganic nutrients from artificial domestic secondary effluents (<xref ref-type="bibr" rid="B32">Wang <italic>et al</italic>., 2016</xref>; <xref ref-type="bibr" rid="B10">Feng <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B16">Lu <italic>et al</italic>., 2020</xref>). Thus, biological treatments are considered as the promising methods due to the cost effectiveness and performance efficiency, along with the production of valuable products and bioenergies (<xref ref-type="bibr" rid="B9">Cheng <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B5">Chen <italic>et al</italic>., 2020 a</xref>,<xref ref-type="bibr" rid="B6">b</xref>). </p>
			<p>The use of a microalgal biomass is a powerful tool to adequately operate wastewater treatment processes, providing valuable information to model wastewater treatment systems (<xref ref-type="bibr" rid="B28">Sánchez-Zurano <italic>et al</italic>., 2020</xref>). So too, several types of microalgae such as <italic>Chlorella</italic> and <italic>Dunaliella</italic> have proved their applicability in wastewaters treatment, reporting average removals of NH<sub>4</sub>-N (40 - 51 %), PO<sub>4</sub>-P (33 - 43 %) and Chemical Oxygen Demand (38 - 63 %) (<xref ref-type="bibr" rid="B33">Wang <italic>et al</italic>., 2014</xref>; <xref ref-type="bibr" rid="B4">Cai <italic>et al</italic>., 2017</xref>; <xref ref-type="bibr" rid="B17">Li <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="B9">Chen <italic>et al</italic>., 2020</xref>). However, it is important to identify other microalgae with potential for bioremediation, which could achieve higher removal values, since each microalgal morphotype responds differently under specific growth conditions, so also with respect to its tolerance and resistance to the growth medium composition (<xref ref-type="bibr" rid="B25">Pei <italic>et al</italic>., 2018</xref>).</p>
			<p>Due to the foregoing, the present research work aimed to evaluate the microalgal biomass of <italic>Verrucodesmus verrucosus</italic> in bioremediation of wastewater from pig farms, as well as the removal of <italic>Escherichia coli</italic> as a pathogenic microorganism.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>Material and methods</title>
			<sec>
				<title>Sampling</title>
				<p>The samples were taken from the pig farm called “El Chano” in the municipality of Suchiapa, Chiapas, located at 16°37′05″N 93°05′39″W. One liter of residual water was collected, from the piglet and fattening growth stages, accumulated during the day, considering that cleaning is carried out daily. The residual water was stored in previously sterilized plastic bottles, at 4 °C (<xref ref-type="bibr" rid="B20">NMX-AA-034-SCFI-2015</xref>).</p>
			</sec>
			<sec>
				<title>Treatment establishment</title>
				<p>Nine wastewater treatments were established from the collection of two growth stages: piglet (P) and fattening (F), including a combination of these (50/50); the wastewater was evaluated as it was collected (crude), so too, wastewater was filtered (f) using a 15 µm diameter sieve and sterilized (s) in autoclave at 121°C for 15 min, as established in <xref ref-type="table" rid="t1">Table 1</xref>.</p>
				<p>
					<table-wrap id="t1">
						<label>Table 1</label>
						<caption>
							<title>Establishment of treatments from porcine wastewater under the bioremediation of <italic>Verrucodesmus verrucosus</italic>.
								 </title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8" rowspan="2">Treatments</th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8" rowspan="2">Growth stage</th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8" colspan="3">Levels</th>
								</tr>
								<tr>
									<th align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">Filtered waste water</th>
									<th align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">Sterile waste water</th>
									<th align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">Crude waste water</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Pf</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Piglet</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">X</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Ps </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Piglet</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">X</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Pc </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Piglet</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">X </td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Ff </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Fattening</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">X</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Fs </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Fattening</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">X</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Fc </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Fattening</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">X </td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">50/50f</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">50 Piglet /50 Fattening</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">X</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">50/50s</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">50 Piglet /50 Fattening</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">X</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"> </td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">50/50c</td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">50 Piglet /50 Fattening</td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"> </td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">X </td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN1">
								<p>Growth stage [ P = Piglet; F= Fattening] Treatments [s = Sterile; c = Crude; f = Filtered] Mix [50/50 = 50 % of piglet and 50 % of fattening]. Each treatment was analyzed the mean of three repetitions.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>After having identified the treatments, they were characterized by the quantification of ammonium, nitrate, phosphorus, phosphate and nitrogen, to subsequently inoculate <italic>Verrucodesmus verrucosus</italic> and evaluate for 40 days its behavior, through growth kinetics and its subsequent removal capacity as well as its antagonistic capacity against <italic>Escherichia coli</italic>, as described below and shown in <xref ref-type="fig" rid="f1">Figure 1</xref>.</p>
				<p>
					<fig id="f1">
						<label>Figure 1</label>
						<caption>
							<title>Methodological development for the evaluation of <italic>Verrucodesmus verrucosus</italic> potential in the removal of nitrogen and phosphorus structures from wastewater from pig farms.
								 </title>
						</caption>
						<graphic xlink:href="f1.jpg"/>
					</fig>
				</p>
			</sec>
			<sec>
				<title>Physical and chemical analyses of water samples</title>
				<p>For the characterization of residual water, the total nitrogen (N) was analyzed by Kjeldahl method (<xref ref-type="bibr" rid="B30">Stafilov <italic>et al</italic>., 2020</xref>), potential of hydrogen (pH) with the use of a potentiometer (HANNA HI 2211-01) (<xref ref-type="bibr" rid="B21">NMX-AA-008-SCFI-2011</xref>), according to <xref ref-type="bibr" rid="B13">Jin <italic>et al.</italic> (2019)</xref>. Also, ammonium, nitrate, total phosphorous and phosphate were analyzed by quantitative colorimetric analysis according to <xref ref-type="bibr" rid="B25">Pei <italic>et al</italic>. (2018)</xref>, <xref ref-type="bibr" rid="B40">Zhu <italic>et al.</italic> (2008)</xref>), <xref ref-type="bibr" rid="B10">Feng <italic>et al.</italic> (2020)</xref> and <xref ref-type="bibr" rid="B35">Wilfert <italic>et al.</italic> (2018)</xref>, respectively. Finally, the determinations of Chemical Oxygen Demand (COD) and Biochemical Oxygen Demand (BOD) were performed according to NMX-AA-030/1-SCFI-2012 and NMX-AA-028-SCFI-2000, respectively.</p>
			</sec>
			<sec>
				<title>Microorganism and culture conditions</title>
				<p><italic>Verrucodesmus verrucosus</italic> was provided by the UAMI Applied Fiction Laboratory (Universidad Autónoma Metropolitana Iztapalapa). The cells are elliptical, without appendages and curved edges. <italic>V. verrucosus</italic> can form cenobium obes containing 4, 8, 16, or more cells between 4 and 6 µm in size. The specie was recently described by <xref ref-type="bibr" rid="B12">Hegewald <italic>et al</italic>. (2013)</xref> and <xref ref-type="bibr" rid="B15">López-Mendoza <italic>et al</italic>. (2015)</xref>, with GenBank accession number JQ240289. <italic>Verrucodesmus verrucosus</italic> was evaluated in the nine wastewater treatments in a period of 40 d with an initial inoculation of 25 CFU mL<sup>-1</sup> at a temperature of 25 °C + 2.</p>
			</sec>
			<sec>
				<title>Escherichia coli quantification</title>
				<p>The quantity of the coliform group microorganisms was determined according to the Mexican Standard NMX-AA-42-1987, and according to the total coliform quantification protocols established by <xref ref-type="bibr" rid="B3">Banach <italic>et al</italic>. (2018)</xref>.</p>
			</sec>
			<sec>
				<title>Productivity and growth kinetics</title>
				<p>Growth kinetics were performed by cell count in a Neubauer chamber, and plate count by colony forming units (CFU). The cultures were shaken in each of the flasks to allow a uniform distribution of cells, and 1 mL samples were taken and placed in previously washed tubes. The camera was observed in the microscope with 100X objective. The cell concentration (CFU mL<sup>-1</sup>) was calculated using the following formula, Eq. (1):</p>
				<p>
					<disp-formula id="e1">
						<mml:math>
							<mml:mi>C</mml:mi>
							<mml:mi> </mml:mi>
							<mml:mo>=</mml:mo>
							<mml:mi> </mml:mi>
							<mml:mi>N</mml:mi>
							<mml:mi> </mml:mi>
							<mml:mi>*</mml:mi>
							<mml:mi> </mml:mi>
							<mml:msup>
								<mml:mrow>
									<mml:mn>10</mml:mn>
								</mml:mrow>
								<mml:mrow>
									<mml:mn>4</mml:mn>
								</mml:mrow>
							</mml:msup>
							<mml:mi> </mml:mi>
							<mml:mi>*</mml:mi>
							<mml:mi> </mml:mi>
							<mml:mi>d</mml:mi>
							<mml:mi>i</mml:mi>
						</mml:math>
						<label>(1)</label>
					</disp-formula>
				</p>
				<p>Where C is the cell concentration (CFU mL<sup>-1</sup>), N is the average of cells present in 1mm<sup>2</sup> (0.1μL), dil the dilution factor and 10<sup>4</sup> the conversion factor from 0.1μL to 1mL. From these data the specific growth rate was determined, which was calculated with the following exponential equation (<xref ref-type="bibr" rid="B33">Wang <italic>et al</italic>., 2014</xref>), Eq. (2):</p>
				<p>
					<disp-formula id="e2">
						<mml:math>
							<mml:msub>
								<mml:mrow>
									<mml:mi>μ</mml:mi>
								</mml:mrow>
								<mml:mrow>
									<mml:mi>e</mml:mi>
								</mml:mrow>
							</mml:msub>
							<mml:mi> </mml:mi>
							<mml:mo>=</mml:mo>
							<mml:mi> </mml:mi>
							<mml:mo>(</mml:mo>
							<mml:mi>l</mml:mi>
							<mml:mi>n</mml:mi>
							<mml:mi>N</mml:mi>
							<mml:mi>t</mml:mi>
							<mml:mi> </mml:mi>
							<mml:mo>-</mml:mo>
							<mml:mi> </mml:mi>
							<mml:msub>
								<mml:mrow>
									<mml:mi>l</mml:mi>
									<mml:mi>n</mml:mi>
									<mml:mi>N</mml:mi>
								</mml:mrow>
								<mml:mrow>
									<mml:mn>0</mml:mn>
								</mml:mrow>
							</mml:msub>
							<mml:mo>)</mml:mo>
							<mml:mo>/</mml:mo>
							<mml:mo>(</mml:mo>
							<mml:msub>
								<mml:mrow>
									<mml:mi>t</mml:mi>
								</mml:mrow>
								<mml:mrow>
									<mml:mn>2</mml:mn>
								</mml:mrow>
							</mml:msub>
							<mml:mi> </mml:mi>
							<mml:mo>-</mml:mo>
							<mml:mi> </mml:mi>
							<mml:msub>
								<mml:mrow>
									<mml:mi>t</mml:mi>
								</mml:mrow>
								<mml:mrow>
									<mml:mn>1</mml:mn>
								</mml:mrow>
							</mml:msub>
							<mml:mo>)</mml:mo>
						</mml:math>
						<label>(2)</label>
					</disp-formula>
				</p>
				<p>Where, μ is the specific growth rate in days, ln is the natural logarithm, N<sub>0</sub> corresponds to the initial population concentration (CFU mL<sup>-1</sup>), N<sub>t</sub> concentration after the final growth time (CFU mL<sup>-1</sup>), t<sub>1</sub> initial time for the growth interval of interest in days, and t<sub>2</sub> final time of growth of the interval in days.</p>
			</sec>
			<sec>
				<title>Statistical analysis</title>
				<p>The parameters of the evaluations were estimated using a sigmoidal model, and Gompertz (Sigma plot ® v.11.0) was used for the correlation evaluation between points. An analysis of variance (ANOVA) was performed in order to evaluate the differences between groups. The means of each treatment were compared using the Tukey method (p≤0.05). The analyzes were carried out using the statistical software Minitab18®.</p>
			</sec>
		</sec>
		<sec sec-type="results">
			<title>Results</title>
			<sec>
				<title>Wastewater characterization</title>
				<p>The characterization of the residual water from a pig farm was carried out at two stages of growth (piglet and fattening) and the mixture between these (50/50), subjected to two treatments (sterilization and filtering), which is why it is possible to identify the higher concentrations in the fattening crude stage for ammonium, nitrate, phosphorous, phosphate, nitrogen, chemical oxygen demand and biochemical oxygen demand in the values of 1992.38 mg mL<sup>-1</sup>, 9546.76 mg mL<sup>-1</sup>, 1410.14 mg mL<sup>-1</sup>, 2999.58 mg mL<sup>-1</sup>, 49%, 1629.56 mg mL<sup>-1</sup> and 896.25 mg mL<sup>-1</sup>, respectively (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
				<p>
					<table-wrap id="t2">
						<label>Table 2</label>
						<caption>
							<title>Characterization of wastewater from pig farms taken from two growth stages. 
								 </title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8">Treatments</th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8">Ammonium NH₄<sub>⁺</sub> (mg L<sup>-1</sup>)</th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8">Nitrate NO<sub>3</sub>
 <sup>-</sup> (mg L<sup>-1</sup>)</th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8">Phosphorus P<sub>4</sub> (mg L<sup>-1</sup>)</th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8">Phosphate PO₄³<sub>⁻</sub> (mg L<sup>-1</sup>)</th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8">Nitrogen N (%)</th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8">COD (mg L<sup>-1</sup>)</th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8">BOD (mg L<sup>-1</sup>)</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Pf</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1884.73 + 0.07<sup>b</sup>*</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">6752.24 + 0.06<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1288.54 + 0.04<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">2057.57 + 0.00<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">35 + 0.01<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">262.68 + 0.04<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">144.47 + 0.12<sup>d</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Ps</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">800.01 + 0.04<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">2504.23 + 0.01<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">263.17 + 0.00<sup>e</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1145.95 + 0.00<sup>f</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">20 + 0.12<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1335.81 + 0.14<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">734.69 + 0.00<sup>b</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Pc</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">944.61 + 0.01<sup>cd</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">5509.04 + 0.04<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">545.41 + 0.00<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1530.99 +0.08<sup>e</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">21 + 0.04<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">474.56 + 0.11<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">261.00 + 0.03<sup>d</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Ff</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1141.09 + 0.00<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">7165.07 + 0.01<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">992.79 + 0.01<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">2471.83 + 0.11<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">35 + 0.11<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1207.68 + 0.09<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">664.22 + 0.03<sup>b</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Fs</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1191.62 + 0.00<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">2693.26 + 0.00<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1323.07 + 0.05<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">2091.52 + 0.12<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">28 + 0.13<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1670.81 + 0.11<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">918.94 + 0.00<sup>a</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Fc</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1992.38 + 0.01<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">9546.76 + 0.07<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1410.14 + 0.10<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">2999.58 + 0.01<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">49 + 0.03<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1629.56 + 0.09<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">896.25 + 0.14<sup>a</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">50/50f</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">881.64 + 0.06<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">5202.56 + 0.03<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">719.56 + 0.12<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">2369.82 + 0.04<sup>bc</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">28 + 0.00<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">830.18 + 0.05<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">456.60 + 0.07<sup>bc</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">50/50s</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1068.31 + 0.05<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1242.38 + 0.00<sup>e</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1291.54 + 0.08<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">2253.47 + 0.06<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">28 + 0.06<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">841.43 + 0.11<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">462.79 + 0.11<sup>bc</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">50/50c</td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">809.66 + 0.05<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">6677.36 + 0.00<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">1126.40 + 0.00<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">2249.25 + 0.08<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">35 + 0.00<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">1645.18 + 0.00<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">904.85 + 0.05<sup>a</sup></td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN2">
								<p>* Mean of three repetitions. ** The averages (± standard error) within each column without common superscript differ significantly at P &lt;0.05. Growth stage [ P=Piglet; F= Fattening] Treatments [s = Sterile; c = Crude; f = Filtered] Mix [50/50 = 50% of piglet and 50% of fattening]. COD: Chemical Oxygen Demand; BOD: Biochemical Oxygen Demand</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
			</sec>
			<sec>
				<title>Mineral kinetics</title>
				<p>In the kinetics of minerals, the progressive removal of the evaluated minerals is observed (ammonium, nitrate, phosphorous, phosphate, nitrogen), however it is important to mention that <italic>Verrucodesmus verrucosus</italic> demonstrated to start the decrease of minerals in the medium at day eight, reaching levels of highest removal at day 32 of evaluation, so it was determined in this research that the average removal time for these microalgae is 32 to 40 days (<xref ref-type="fig" rid="f2">Figure 2 a to e</xref>).</p>
				<p>
					<fig id="f2">
						<label>Figure 2</label>
						<caption>
							<title>Kinetics of minerals removal by <italic>Verrucodesmus verrucosus</italic> present in the wastewater from pig farms evaluated for 40 days.
								 </title>
						</caption>
							<graphic xlink:href="f2.jpg"/>
							<attrib>Mean of three repetitions. The averages (± standard error). Growth stage [ P=Piglet; F= Fattening] Treatments [s = Sterile; = Crude; f = Filtered] Mix [50/50 = 50% of piglet and 50% of fattening]. A: total nitrogen concentration; B: Ammonium concentration; C: Nitrate concentration; D: Total phosphorus concentration; E: Phosphate concentration</attrib>
						</fig>
				</p>
				<p>On the other hand, the growth stage with the highest removal was the piglet stage, for the minerals phosphorus and phosphate with 97.98 %, 82.18 % respectively, in the filtered and sterilized treatments. However, the fattening stage has the highest removals in nitrate and nitrogen with 85.65 % and 85.71% respectively, in the sterilized treatments for nitrate. So, it is also important to mention that the decrease in nitrogen is significantly higher compared to the other treatments in its crude form (<xref ref-type="table" rid="t3">Table 3</xref> and <xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
				<p>
					<table-wrap id="t3">
						<label>Table 3</label>
						<caption>
							<title>Removal percentage of <italic>Verrucodesmus verrucosus</italic> evaluated in pig wastewater for 40 day.  </title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col span="2"/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<tbody>
								<tr>
									<td align="center"
										style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8"
										colspan="8"><bold>Removal percentage (%) </bold></td>
								</tr>
								<tr>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>Treatments</bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>Ammonium (NH₄⁺)</bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>Nitrate (NO<sub>3</sub>
											<sup>-</sup>)</bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>Phosphorus (P<sub>4</sub>)</bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>Phosphate (PO₄³⁻)</bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>Nitrogen (N)</bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>COD</bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>BOD</bold></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>Pf</bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>71.47 + 0.02<sup>a</sup>*</bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>63.46 + 0.08<sup>e</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>97.98 + 0.10<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>82.18 + 0.00<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>80 + 0.01<sup>b</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>92.55 + 0.14<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>96.75 + 0.12<sup>a</sup></bold></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>Ps</bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>58.68 + 0.09<sup>b</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>61.28 + 0.04<sup>e</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>93.55 + 0.02<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>39.66 + 0.10<sup>e</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>50 + 0.16<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>96.75 + 0.11<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>93.63 + 0.18<sup>a</sup></bold></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>Pc</bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>48.89 + 0.07<sup>c</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>69.61 + 0.01<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>28.90 + 0.00<sup>f</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>24.79 + 0.16<sup>f</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>33.33 + 0.08<sup>f</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>93.63 + 0.19<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>92.55 + 0.05<sup>a</sup></bold></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>Ff</bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>31.15 + 0.00<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>80.07 + 0.11<sup>c</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>45.97 + 0.13<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>63.80 + 0.02<sup>b</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>40 + 0.16<sup>e</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>86.99 + 0.03<sup>b</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>86.99 + 0.12<sup>b</sup></bold></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>Fs</bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>69.24 + 0.00<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>85.65 + 0.11<sup>b</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>31.20 + 0.07<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>55.46 + 0.00<sup>c</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>28.57 + 0.01<sup>g</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>65.08 + 0.17<sup>c</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>65.08 + 0.10<sup>c</sup></bold></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>Fc</bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>63.91 + 0.10<sup>ab</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>82.57 + 0.12<sup>c</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>38.00 + 0.00<sup>e</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>46.28 + 0.12<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>85.71 + 0.02<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>66.27 + 0.10<sup>c</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>66.27 + 0.17<sup>c</sup></bold></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>50/50f</bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>29.84 + 0.16<sup>e</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>71.65 + 0.00<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>73.44 + 0.01<sup>b</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>80.51 + 0.15<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>50 + 0.12<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>93.87 + 0.02<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>93.87 + 0.10<sup>a</sup></bold></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>50/50s</bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>74.60 + 0.00<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>91.92 + 0.13<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>45.44 + 0.13<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>48.26 + 0.02<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>50 + 0.17<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>58.67 + 0.16<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>58.67 + 0.19<sup>d</sup></bold></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>50/50c</bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>39.45 + 0.05<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>91.44 + 0.05<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>65.17 + 0.13<sup>c</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>47.09 + 0.16<sup>d</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>60 + 0.11<sup>c</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>95.16 + 0.01<sup>a</sup></bold></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8"
											><bold>95.16 + 0.02<sup>a</sup></bold></td>
								</tr>
								<tr>
									<td align="center"
										style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>Mean**</bold></td>
									<td align="center"
										style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>54.13 + 0.05<sup>c</sup>**</bold></td>
									<td align="center"
										style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>77.51 + 0.07<sup>b</sup>**</bold></td>
									<td align="center"
										style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>57.73 + 0.06<sup>c</sup>**</bold></td>
									<td align="center"
										style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>54.22 + 0.08<sup>c</sup>**</bold></td>
									<td align="center"
										style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>53.06 + 0.10<sup>c</sup>**</bold></td>
									<td align="center"
										style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>83.24 + 0.13<sup>a</sup>**</bold></td>
									<td align="center"
										style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>83.21 + 0.11<sup>a</sup>**</bold></td>
								</tr>
								<tr>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>Total mean</bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold>66.24 + 0.08</bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold> </bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold> </bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold> </bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold> </bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold> </bold></td>
									<td align="center"
										style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"
											><bold> </bold></td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN3">
								<p>*Mean of three repetitions. ** The averages (± standard error) within each column without common superscript differ significantly at P &lt;0.05. Growth stage [ P=Piglet; F= Fattening] Treatments [s = Sterile; c = Crude; f = Filtered] Mix [50/50 = 50% of piglet and 50% of fattening]. COD: Chemical Oxygen Demand; BOD: Biochemical Oxygen Demand</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>At the conclusion of the mineral kinetics, it was determined that <italic>V. verrucosus</italic> has, on average, the ability to remove ammonia, nitrate, phosphorus, phosphates and nitrogen at percentages of 54.13 %, 77.51 %, 57.73 %, 54.22 % and 53.06 % respectively, so that this microalgae has an average mineral removal capacity in pork wastewater of 66.24 %, benefiting the removal processes by applying sterilization and filtration treatments (<xref ref-type="table" rid="t3">Table 3</xref>).</p>
			</sec>
			<sec>
				<title>COD and BOD removal kinetics</title>
				<p>During the kinetics evaluation of the chemical and biochemical oxygen demand, a significant removal is observed at 32 days after <italic>V. verrucosus</italic> inoculation, thus also identifying that residual water from the lechon growth stage reaches higher removal rates of 92 and 96 % for BOD and COD, respectively (<xref ref-type="fig" rid="f3">Figure 3</xref> and <xref ref-type="table" rid="t3">Table 3</xref>).</p>
				<p>
					<fig id="f3">
						<label>Figure 3</label>
						<caption>
							<title>Kinetics of removal of Chemical and Biochemical Oxygen Demand (COD, BOD) by <bold>
 <italic>Verrucodesmus verrucosus</italic>
</bold> evaluated in pig waste water for 40 days.  </title>
						</caption>
						<graphic xlink:href="f3.jpg"/>
						<attrib>Mean of three repetitions. The averages (± standard error). Growth stage [ P=Piglet; F= Fattening] Treatments [s = Sterile; c = Crude; f = Filtered] Mix [50/50 = 50% of piglet and 50% of fattening]. a: Chemical Oxygen Demand concentration; b: Biochemical Oxygen Demand concentration</attrib>
						</fig>
				</p>
			</sec>
			<sec>
				<title><bold>
 <italic>Escherichia coli</italic> removal</bold></title>
				<p>During the growth kinetics of <italic>V. verrucosus</italic> the start of the exponential stage is observed at 8 days, demonstrating the maximum growth rate of 0.14 CFU / Day in the sterile fattening treatment and the shortest doubling time of 4.31 d, therefore the removal values begin to be important, however the exponential stage ends between 24 and 32 d, data that correlates the higher removal values for the minerals as well as the chemical and biochemical oxygen demands. On the other hand, it is observed how kinetics of <italic>Escherichia coli</italic> decreases significantly after 8 days of inoculating <italic>V. verrucosus,</italic> decreasing the bacterial population in its entirety at 32 d. Therefore, <italic>V. verrucosus</italic> demonstrated 100 % removal of the <italic>E.coli</italic> bacterial population within 24 d (<xref ref-type="fig" rid="f4">Figure 4</xref> and <xref ref-type="table" rid="t4">Table 4</xref>).</p>
				<p>
					<fig id="f4">
						<label>Figure 4</label>
						<caption>
							<title>Growth kinetics and antagonistic potential of <italic>Verrucodesmus verrucosus</italic> microalgal biomass evaluated in pig wastewater for 40 days.
								 </title>
						</caption>
						<graphic xlink:href="f4.jpg"/>
						<attrib>Mean of three repetitions. The averages (± standard error). Growth stage [ P=Piglet; F= Fattening] Treatments [s = Sterile; c = Crude; f = Filtered] Mix [50/50 = 50% of piglet and 50% of fattening].</attrib>
					</fig>
				</p>
				<p>
					<table-wrap id="t4">
						<label>Table 4</label>
						<caption>
							<title>Kinetic parameters and antagonistic potential of the <italic>Verrucodesmus verrucosus</italic> microalgae biomass evaluated in pig wastewater for 40 days.
								 </title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col span="2"/>
								<col span="3"/>
								<col span="2"/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8" rowspan="2">Treatment</th>
									<th align="center" style="border-top: 1px solid; border-bottom: none; background-color: #e6e7e8" colspan="2">Initial biomass (CFU mL<sup>-1</sup>) </th>
									<th align="center" style="border-top: 1px solid; border-bottom: none; background-color: #e6e7e8" colspan="2">Final biomass (CFU mL<sup>-1</sup>) </th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8" rowspan="2">µ (CFU Day<sup>-1</sup>) </th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8" rowspan="2">Td (Day)</th>
									<th align="center" style="border-top: 1px solid; border-bottom: 1px solid; background-color: #e6e7e8" rowspan="2"><bold>
 <italic>E. coli</italic> removal (%)</bold></th>
								</tr>
								<tr>
									<th align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"><italic>V. verrucosus</italic></th>
									<th align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"><italic>E. coli</italic></th>
									<th align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"><italic>V. verrucosus</italic></th>
									<th align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8"><italic>E.coli</italic></th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Pf</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">25 + 0.16ª</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">108 + 0.22<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">781 + 0.21<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">3 + 0.09ª</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0.14 + 0.06<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">4.63 + 0.05<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">97.22 + 0.01<sup>a</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Ps</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">25 + 0.01ª</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">27 + 0.15<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1002 + 0.18<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0 + 0.01<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0.16 + 0.03<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">4.31 + 0.01<sup>e</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">100 + 0.018<sup>a</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Pc</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">25 + 0.09ª</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">120 + 0.18ª</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">625 + 0.11<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">1 + 0.21<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0.13 + 0.01<sup>f</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">4.95 + 0.09<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">99.16 + 0.07<sup>a</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Ff</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">25 + 0.02ª</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">22 + 0.27<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">517 + 0.07<sup>f</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0 + 0.02<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0.13 + 0.10<sup>e</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">5.26 + 0.12<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">100 + 0.03<sup>a</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Fs</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">25 + 0.12ª</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0 + 0.01<sup>f</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">592 + 0.0<sup>e</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0 + 0.00<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0.13 + 0.11<sup>e</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">5.03 + 0.08<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">100 + 0.09<sup>a</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">Fc</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">25 + 0.2ª</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">30 + 0.11<sup>d</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">537 + 0.12<sup>e</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0 + 0.00<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0.13 + 0.03<sup>f</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">5.19 + 0.01<sup>a</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">100 + 0.05<sup>a</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">50/50f</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">25 + 0.18ª</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">62 + 0.31<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">697 + 0.09<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0 + 0.00<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0.14 + 0.11<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">4.79 + 0.12<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">100 + 0.12<sup>a</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">50/50s</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">25 + 0.11ª</td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">15 + 0.17<sup>e</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">731 + 0.12<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0 + 0.00<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">0.14 + 0.12<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">4.72 + 0.01<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: none; background-color: #e6e7e8">100 + 0.12<sup>a</sup></td>
								</tr>
								<tr>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">50/50c</td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">25 + 0.12ª</td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">66 + 0.14<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">677 + 0.06<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">0 + 0.10<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">0.14 + 0.09<sup>c</sup></td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">4.83 + 0.19<sup>b</sup></td>
									<td align="center" style="border-top: none; border-bottom: 1px solid; background-color: #e6e7e8">100 + 0.12<sup>a</sup></td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN4">
								<p>* Mean of three repetitions. ** The averages (± standard error) within each column without common superscript differ significantly at P &lt;0.05. Growth stage [ P=Piglet; F= Fattening] Treatments [s = Sterile; c = Crude; f = Filtered] Mix [50/50 = 50% of piglet and 50% of fattening].</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
			</sec>
		</sec>
		<sec sec-type="discussion">
			<title>Discussion</title>
			<sec>
				<title>Wastewater characterization</title>
				<p>Swine wastewater is rich in nitrogen and organic carbon, however, in the present research it was shown that the wastewater from fattening pigs, corresponding to an adult age, showed the highest concentrations in the different nitrogen and phosphorus forms evaluated (<xref ref-type="table" rid="t2">Table 2</xref>), <italic>data similar to that reported by</italic><xref ref-type="bibr" rid="B36"><italic>Wen et al.</italic> (2017)</xref>, they evaluated the resistance condition of <italic>Chlorella vulgaris</italic> in undiluted swine slurry and artificial wastewater, identifying concentrations higher than 2000 mg / L of the different forms of TN and TP.</p>
				<p>This is because fattening pigs consume a more complete diet accompanied by chemical compounds that modulate feed conversion, associated with digestibility coefficient problems, such as bad absorption or bacterial infections that force the use of antibiotics, generating feces loaded with organic and inorganic matter that convert wastewater into a complex mixture. It is also important to mention that the nitrogen and phosphorous retention capacity decreases with the age of the animal (<xref ref-type="bibr" rid="B34">Wang <italic>et al</italic>., 2017</xref>; <xref ref-type="bibr" rid="B18">Likiliki <italic>et al</italic>., 2020</xref>).</p>
			</sec>
			<sec>
				<title>Mineral kinetics</title>
				<p>During the mineral removal kinetics, it was determined that <italic>V. verrucosus</italic> has the ability to decrease the concentration of phosphorus and phosphate present in wastewater of piglets, from 82 to 97.98 % of removal respectively. Thus, removal concentrations of 85.71% were demonstrated for nitrogen evaluated in this research work, it is also important to mention that the highest total nitrogen removals are found in crude treatments (<xref ref-type="table" rid="t3">Table 3</xref>). Similar data has been reported by <xref ref-type="bibr" rid="B11">Garcia <italic>et al</italic>. (2018)</xref>, who mentioned that results revealed a high diversity and rapid variations in the structure of microalgae populations, <italic>Chlorella sp</italic>., were recorded in the removal efficiencies (REs) of total organic carbon (86 - 87 %), inorganic carbon (62 - 71 %), total nitrogen (82 - 85 %) and total phosphorous (90 - 92 %).</p>
				<p>According to the aforementioned, <xref ref-type="bibr" rid="B31">Sudiarto <italic>et al</italic>. (2019)</xref> studied the removal of nitrogen and phosphorus from the effluent of treated swine wastewater by <italic>Eichhornia crassipes</italic>, <italic>Pistia stratiotes</italic>, <italic>Limnobium laevigatum</italic>, and <italic>Lemna sp</italic>. <italic>Pistia stratiotes</italic> showed the highest total nitrogen removal (63.15 %) from the treated effluent, <italic>Lemna sp.</italic> showed the highest phosphorus removal of 36.15 % from the treated effluent. Caí <italic>et al.</italic> (2019) also showed that <italic>Spirulina platensis</italic> removal efficiency of ammonium was 99 %, which provides an alternative method for the utilization of Digested Piggery Wastewater (DPW).</p>
				<p>However, <xref ref-type="bibr" rid="B9">Chen <italic>et al.</italic> (2020)</xref> evaluated <italic>Desmodesmus sp</italic>., a microalgae belonging to the same family of <italic>V. verrucosus</italic>, showing that <italic>Desmodesmus sp.</italic> PW1grew well in diluted and undiluted piggery wastewater, and could effectively remove nitrogen and phosphorus with removal rates up to 90 % and 70 %, respectively. At laboratory scale by 30L photobioreactor, microalgae also performed well in TN (65.3 %) and TP (83.5 %) removal.</p>
				<p>It is important to mention that the treatment of fattening without sterilization showed the highest removal values (<xref ref-type="table" rid="t3">Table 3</xref>), so it is not necessary to implement a treatment to improve the removal capacity of <italic>V. verrucosos</italic>, data that agrees with the work carried out by <xref ref-type="bibr" rid="B32">Wang <italic>et al</italic>. (2016)</xref> who evaluated an UV irradiation-based method to treat the piggery wastewater before inoculating the microalgae biomass, in order to reduce microbial competition and benefit the degradation of compounds. However, the microalgae grew well in slurry without treating and achieved outstanding removal efficiencies in total nitrogen (TN) and total phosphorus (TP), with 89.5 % and 85.3 %, respectively (<xref ref-type="bibr" rid="B26">Rasoul-Amini <italic>et al</italic>., 2014</xref>).</p>
				<p>The assimilation of nutrients is variable and depends on the level of daily consumption or intake, which are affected by factors such as genetics and mainly age or growth phase.</p>
				<p>It has been verified that in piglets from fetal life, the gastrointestinal tract is in charge of supplying in its entirety of metabolites and protective substances through nutrients absorption, the endocytosis of immunoglobulins from colostrum and milk, an activity that guarantees the high absorption and retention of nutritional substances. Another reason is associated with the lumen surface of the small intestine, which is made up of numerous villi at the base where are tubular glands (<italic>Lieberkühn crypts</italic>) that descend to the muscularis mucosa benefiting their high absorption, unlike fattening pigs that with advancing age, a certain percentage of intestinal mucosa velocities atrophy, reducing the efficiency of nutrient absorption, associated with competition for the substrate and problems caused by the presence of <italic>Enterobacteriaceae</italic> (<xref ref-type="bibr" rid="B2">Bibbal <italic>et al</italic>., 2018</xref>).</p>
				<p>With all of the above, it was possible to demonstrate the potential of <italic>V. verrucosus</italic> to remove minerals in mixotrophic conditions, since the swine wastewater is rich in nitrogen and organic carbon which are essential macronutrients for microalgal growth (<xref ref-type="bibr" rid="B9">Chen <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B27">Sánchez <italic>et al</italic>., 2020</xref>).</p>
				<p>The ability of microalgae to feed on minerals present in pigs’ wastewater has benefited the accumulation of compounds of biotechnological interest, as mentioned by <xref ref-type="bibr" rid="B17">Li <italic>et al.</italic> (2018)</xref>, who demonstrated that <italic>Coelastrella sp.</italic> could remove nutrients from anaerobically digested swine wastewater (ADSW) effectively, if its responses to the stress of Cu (II) were less. However, they showed that finding high copper concentrations in the medium increases the concentration of the superoxide dismutase enzyme responsible for pigment synthesis and oxidative stability of lipids synthesized by the microalgae.</p>
			</sec>
			<sec>
				<title>COD and BOD removal kinetics</title>
				<p>In this research an 83 % average removal of chemical and biochemical oxygen demand by <italic>V. verrucosus</italic> was demonstrated (<xref ref-type="table" rid="t3">Table 3</xref>). These data agree with those obtained by <xref ref-type="bibr" rid="B9">Chen <italic>et al.</italic> (2020)</xref>, who evaluated the remove capacity from <italic>Chlorella sorokiniana</italic> in swine wastewater, and demonstrated the COD, TN and TP removal efficiency for the swine wastewater was 90.1, 97.0 and 92.8 %, respectively (<xref ref-type="bibr" rid="B39">Zhou <italic>et al</italic>., 2018</xref>).</p>
				<p>These results tend to be promising when considering the <italic>V. verrucosus</italic> microalgal biomass, as a potential alternative to remove, since removal efficiencies of 50 % have been demonstrated by facultative aerobic bacteria, which are not very effective with respect to microalgae. As demonstrated by <xref ref-type="bibr" rid="B9">Chen <italic>et al.</italic> (2020)</xref>, who evaluated the COD removal efficiency (55.46 %) in anaerobic digestion treatment of real piggery wastewater: Treatment efficiency and bacterial diversity.</p>
			</sec>
			<sec>
				<title><bold>
 <italic>Escherichia coli</italic> removal</bold></title>
				<p>Through the evaluation of the microalgal biomass growth kinetics, it was observed that the exponential stage of <italic>V. verrocosus</italic> is coupled to the stationary and death stage of the growth kinetics of <italic>Escherichia coli</italic> (<xref ref-type="fig" rid="f4">Figure 4</xref>)<italic>.</italic> Said aforementioned behavior was observed in other investigations, as mentioned by <xref ref-type="bibr" rid="B36">Wen <italic>et al.</italic> (2017)</xref>, they identified the stress tolerance of <italic>Chlorella vulgaris</italic> in wastewater, which was verified in artificial wastewater containing different levels of chemical oxygen demand (COD), corresponding to a high bacterial load.</p>
				<p>The microalgae <italic>V. verrucosus</italic> demonstrated antagonistic capacity by removing 100 % of <italic>E. coli</italic> (<xref ref-type="fig" rid="f4">Figure 4</xref> and <xref ref-type="table" rid="t4">Table 4</xref>), an enterobacterium present at a high concentration in feces deposited in wastewater, as shown in the present work, since slaughterhouse process and wastewater are considered as a hotspot for antibiotic resistant bacteria and antimicrobial residues, which may thus play an important role for their dissemination into the environment (<xref ref-type="bibr" rid="B29">Savin <italic>et al</italic>., 2020</xref>).</p>
				<p>This phenomenon has been observed previously, for instance, <xref ref-type="bibr" rid="B17">Li <italic>et al.</italic> (2020)</xref> identified the effect of antibiotic residue pollution from swine feedlots to nearby groundwater environment, analyzing the presence of residues from most commonly used antibiotics, including tetracyclines (TCs), fluoroquinolones (FQNs), sulfonamides (SAs), macrolides, and fenicols, therefore, antibiotics discharged from swine feedlots through wastewater could disseminate into surrounding groundwater environments, generating antibiotic resistance genes (AGRs) in different microorganisms.</p>
				<p>Also, <xref ref-type="bibr" rid="B38">Yang <italic>et al.</italic> (2020)</xref> demonstrated that in the wastewater of pig farms was a higher abundance of Proteobacteria, including the potential human pathogenic bacteria (HPB) (<italic>Escherichia</italic>, <italic>Shigella</italic>, <italic>Bordetella</italic> and <italic>Morganella</italic>), crop pathogen (Pectobacterium) and denitrifying bacteria (Zobellella); the results showed that the bacteria played an important role in the denitrification, which can provide a new point of penetration for improving the bioremove at pig farms, because eradicating the nitrogen present in the wastewater would eliminate a large population of pathogenic bacteria. For this reason, since <italic>V. verrucosus</italic> is efficient in removing nitrogen forms and is also metabolically more active, it is a disadvantage for pathogenic bacteria that try to compete for the substrate (<xref ref-type="bibr" rid="B37">Wu <italic>et al.</italic>, 2020</xref>).</p>
				<p>Thus, it is also important to mention that the highest biomass production was reached in wastewater from the fattening stage, identifying a direct relationship between biomass and the concentration of pollutants (<xref ref-type="table" rid="t4">Table 4</xref>, <xref ref-type="fig" rid="f4">Figure 4</xref>). This effect was identified in an evaluation on <italic>C. pyrenoidosa,</italic> where, the results showed the maximum nutrient removal efficiencies at 50 % in the fattening pig wastewater, since the fattening pig wastewater is rich in nutrients, which can be utilized for algal biomass production (<xref ref-type="bibr" rid="B1">Azam <italic>et al</italic>., 2020</xref>).</p>
				<p>Finally, it is important to mention that according to the aforementioned results, the residual water from pig farms previously treated with <italic>V. verrucosus</italic> can be used for the irrigation of fruit and vegetable crops.</p>
			</sec>
		</sec>
		<sec sec-type="conclusions">
			<title>Conclusions</title>
			<p>The use of <italic>V. verrucosus</italic> is a powerful tool to adequately manage and operate wastewater treatment processes, providing valuable information to model wastewater treatment systems with these microalgae, on the other hand, it was shown that this microalgae species grows well in swine wastewater with large amounts of biomass being produced, despite the impact of various parameters (e.g., nutrients and toxicants levels, cultivation conditions, and bacteria in swine wastewater).</p>
			<p>It is important to mention that the harvested microalgae biomass elicits high potential for conversion to bioenergy, because the lipids can be used for biodiesel production, and according to this, the development of renewable and clean energy as well as bio-based fine chemicals technologies are the keys to overcome the problems such as fossil depletion, global warming, and environment pollution.</p>
			<p>The strategy is therefore a promising method for microalgae to purify piggery slurry containing high nutrient contents, reducing the environmental impact of contaminated waters that damage soils and consumers of food irrigated with these waters.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgments</title>
			<p>This study was supported by the Universidad Politécnica de Chiapas.</p>
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