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<article article-type="research-article" dtd-version="1.0" specific-use="sps-1.8" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">rica</journal-id>
			<journal-title-group>
				<journal-title>Revista internacional de contaminación ambiental</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Rev. Int. Contam.
					Ambient</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">0188-4999</issn>
			<publisher>
				<publisher-name>Universidad Nacional Autónoma de México, Centro de Ciencias de la Atmósfera</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.20937/RICA.53404</article-id>
			<article-id pub-id-type="publisher-id">00005</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Artículos</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>CONCENTRATION AND DISTRIBUTION OF HEAVY METALS IN ASH EMITTED BY THE
					SUGAR FACTORY LA GLORIA, VERACRUZ, MEXICO</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>DISTRIBUCIÓN Y CONCENTRACIÓN DE METALES PESADOS EN CENIZA EMITIDA
						POR EL INGENIO LA GLORIA, VERACRUZ, MÉXICO</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<name>
						<surname>Castro-Gerardo</surname>
						<given-names>Guisel Aleyda</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Landeros-Sánchez</surname>
						<given-names>Cesáreo</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">
					<name>
						<surname>Martínez-Dávila</surname>
						<given-names>Juan Pablo</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Castañeda-Chávez</surname>
						<given-names>María del Refugio</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>López-Romero</surname>
						<given-names>Gustavo</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Carrillo-Ávila</surname>
						<given-names>Eugenio</given-names>
					</name>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Hernández-Pérez</surname>
						<given-names>Juan Manuel</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution content-type="original"> Colegio de Postgraduados, Campus Veracruz, km
					88.5 carretera Federal Xalapa-Veracruz, vía Paso de Ovejas, entre Puente Jula y
					Paso San Juan, Tepetates, 91690 Manlio Fabio Altamirano, Veracruz,
					México</institution>
				<institution content-type="normalized">Colegio de Postgraduados</institution>
				<institution content-type="orgname">Colegio de Postgraduados</institution>
				<addr-line>
					<named-content content-type="city">Manlio Fabio Altamirano</named-content>
            <named-content content-type="state">Veracruz</named-content>
				</addr-line>
				<country country="MX">Mexico</country>
			</aff>
			<aff id="aff1b">
				<label>1</label>
				<institution content-type="original"> Colegio de Postgraduados, Campus Veracruz, km
					88.5 carretera Federal Xalapa-Veracruz, vía Paso de Ovejas, entre Puente Jula y
					Paso San Juan, Tepetates, 91690 Manlio Fabio Altamirano, Veracruz,
					México</institution>
				<institution content-type="normalized">Colegio de Postgraduados</institution>
				<institution content-type="orgname">Colegio de Postgraduados</institution>
				<addr-line>
					<named-content content-type="city">Manlio Fabio Altamirano</named-content>
            <named-content content-type="state">Veracruz</named-content>
				</addr-line>
				<country country="MX">Mexico</country>
				<email>clandero@colpos.mx</email>
			</aff>
			<aff id="aff2">
				<label>2 </label>
				<institution content-type="original">Tecnológico Nacional de México/Instituto
					Tecnológico de Boca del Río, km 12 carretera Veracruz-Córdoba, 94290 Boca del
					Río, Veracruz, México</institution>
					<institution content-type="normalized">Tecnológico Nacional de México</institution>
				<institution content-type="orgdiv1">Instituto Tecnológico de Boca del
					Río</institution>
				<institution content-type="orgname">Tecnológico Nacional de México</institution>
				<addr-line>
					<named-content content-type="city">Boca del
					Río</named-content>
            <named-content content-type="state">Veracruz</named-content>
				</addr-line>
				<country country="MX">Mexico</country>
			</aff>
			<aff id="aff3">
				<label>3</label>
				<institution content-type="original"> Colegio de Postgraduados, Campus Campeche, km
					17.5 carretera Haltunchén-Edzná, Sihochac, 24450 Champotón, Campeche,
					México</institution>
				<institution content-type="normalized">Colegio de Postgraduados</institution>
				<institution content-type="orgname">Colegio de Postgraduados</institution>
				<addr-line>
					<named-content content-type="city">Champotón</named-content>
            <named-content content-type="state">Campeche</named-content>
				</addr-line>
				<country country="MX">Mexico</country>
			</aff>
			<author-notes>
				<corresp id="c1">
					<label>*</label> Corresponding author: <email>clandero@colpos.mx</email>
				</corresp>
			</author-notes>
			<!--<pub-date date-type="pub" publication-format="electronic">
				<day>04</day>
				<month>05</month>
				<year>2021</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">-->
				<pub-date pub-type="epub-ppub">
				<month>05</month>
				<year>2020</year>
			</pub-date>
			<volume>36</volume>
			<issue>2</issue>
			<fpage>275</fpage>
			<lpage>285</lpage>
			<history>
				<date date-type="received">
					<day>01</day>
					<month>09</month>
					<year>2018</year>
				</date>
				<date date-type="accepted">
					<day>01</day>
					<month>08</month>
					<year>2019</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access"
					xlink:href="https://creativecommons.org/licenses/by-nc-nd/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>Agricultural activities are one of the main sources of environmental pollution.
					One such source is sugarcane burning and the related agroindustrial processes
					carried out by sugar mills that emit a great volume of particulate matter
					containing heavy metals such as cadmium (Cd), copper (Cu), lead (Pb) and zinc
					(Zn). These heavy metals result in serious pollution problems and harm to public
					health. Therefore, the aim of this study was to determine the concentrations and
					spatial distribution of the heavy metals Cd, Cu, Pb and Zn present in the
					particulate matter emitted by La Gloria sugar mill and by sugarcane burning in
					regional agroecosystems, as a function of the distance at which such material
					was deposited during the emission process. The research was carried out in the
					town of La Gloria, Veracruz where the sugar mill is located. Two study areas
					were established: the first, zone A, was located 50 to 400 m away from the mill,
					and the second, zone B, 401 to 900 m away. A total of 51 ash sampling sites were
					randomly selected, 17 in zone A and 34 in zone B. The samples collected within
					the town were representative of the area with the highest incidence of
					particulate matter. An analysis of means showed that the concentrations of Cd,
					Cu and Pb were higher in zone A than in zone B (100.6179 &gt; 66.3614 µg/g;
					92.2825 &gt; 47.2526 µg/g; 876 8559 &gt; 701.3888 µg/g, espectively). However,
					in zone B the concentration of Zn was higher than in A (28.5941 &gt; 28.8798
					µg/g). As regards to distance, no significant statistical difference between
					zones was found. </p>
			</abstract>
			<trans-abstract xml:lang="es">
				<title>RESUMEN</title>
				<p>Las actividades agrícolas son una de las fuentes principales de contaminación.
					Una de ellas es la quema de la caña de azúcar y el proceso agroindustrial que se
					lleva a cabo en los ingenios que emiten un gran volumen de particulas que
					contienen metales pesados, tales como cadmio (Cd), cobre (Cu), plomo (Pb) y zinc
					(Zn). Estos metales causan serios problemas de contaminación y daño a la salud
					pública. Por lo tanto, el objetivo de este estudio fue determinar las
					concentraciones y la distribución espacial del Cd, Cu, Pb y Zn presentes en las
					particulas emitidas por el ingenio La Gloria y por la quema de caña de azúcar en
					los agroecosistemas regionales, en función de la distancia a la cual tal
					material se depositó durante el proceso de emisión. La investigación se llevó a
					cabo en la comunidad La Gloria, Veracruz, donde se ubica dicho ingenio. Se
					consideraron dos áreas de estudio: la primera fue la zona A, localizada a una
					distancia de 50 a 400 m del ingenio y la segunda, la zona B, ubicada a 401 a 900
					m de éste. Se seleccionó al azar un total de 51 sitios de muestreo de ceniza, 17
					en la zona A y 34 en la zona B. Las muestras recolectadas dentro de dicha
					comunidad fueron representativas del área considerada como de mayor incidencia
					las partículas emitidas. Un análisis de medias mostró que las concentraciones de
					Cd, Cu y Pb resultaron mayores en la zona A que en la B (100.6179 &gt; 66.3614
					µg/g; 92.2825 &gt; 47.2526 µg/g; 876 8559 &gt; 701.3888 µg/g, respectivamente).
					Sin embargo, la concentración de Zn en la zona B fue mayor que en la A (28.5941
					&gt; 28.8798 µg/g). En cuanto a la distancia, no se encontraron diferencias
					estadísticas significativas entre zonas. </p>
			</trans-abstract>
			<kwd-group xml:lang="en">
				<title>Key words:</title>
				<kwd>air pollution</kwd>
				<kwd>particulate matter</kwd>
				<kwd>sugarcane</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<title>Palabras clave:</title>
				<kwd>contaminación del aire</kwd>
				<kwd>partículas atmosféricas</kwd>
				<kwd>caña de azúcar</kwd>
			</kwd-group>
			<counts>
				<fig-count count="9"/>
				<table-count count="3"/>
				<equation-count count="0"/>
				<ref-count count="24"/>
				<page-count count="11"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>INTRODUCTION</title>
			<p>The concern of agroindustry must be the conservation and transformation of raw
				materials, as well as the extraction, enrichment and concentration of the components
				that give value to them. Agro-industrial activity is closely related to urban
				development and the environment.</p>
			<p>
				<xref ref-type="bibr" rid="B3">Basanta et al. (2007)</xref> pointed out that at
				global level, environmental issues of the greatest concern like the degradation and
				alteration of the environment by agroindustrial residues such as liquids and solids,
				which contribute to water pollution both in surface and ground water, are of public
				concern. </p>
			<p>In this sense, agriculture is intricately enmeshed in the environmental issue due to
				the processes required for transforming raw material. Among them, sugar mills emit
				ash into the atmosphere consisting of a high volume of particulate matter together
				with a high concentration of heavy metals such as cadmium (Cd), copper (Cu), lead
				(Pb) and zinc (Zn). High concentrations of heavy metals converge in exposed areas,
				such as dwellings, material goods and, especially, agroecosystems. In addition,
				nearby areas become very vulnerable to these concentrations because of their
				non-biodegradable nature; also, the negative effects they exert on different crops
				and their bioavailability may be hazardous to environmental and human health (<xref
					ref-type="bibr" rid="B15">Prieto et al. 2009</xref>). </p>
			<p>The sugarcane industry is of great importance from the social, cultural, political
				and economic viewpoints, since it is a very important source of jobs. This
				agroindustry generates around two million direct and indirect jobs, with prevalence
				in most tropical and subtropical areas (<xref ref-type="bibr" rid="B21">SE
					2012</xref>). This leads to severe pollution problems due to the increase in the
				volume of industrial, agricultural and domestic particulate matter produced by
				sugarcane activity, which adversely affects the health of the environment (<xref
					ref-type="bibr" rid="B3">Basanta et al. 2007</xref>). </p>
			<p>Determining the concentration of heavy metals present in the volatile particles
				emitted by the La Gloria mill not only serves to assess their toxicological
				potential and implications for the environment, but also contributes to the
				development of strategies to reduce and mitigate environmental pollution (<xref
					ref-type="bibr" rid="B18">Rovira et al. 2010</xref>). Therefore, the aim of this
				research was to determine the concentrations and spatial distribution of the heavy
				metals Cd, Cu, Pb and Zn present in particulate matter emitted by the La Gloria
				sugar mill and sugarcane burning in regional agroecosystems, as a function of the
				distance at which such material was deposited during the emission process. </p>
		</sec>
		<sec sec-type="materials|methods">
			<title>MATERIALS AND METHODS</title>
			<sec>
				<title>Selection of the study area</title>
				<p>This study was carried out from December 2015 to April 2016 in the supply and
					housing areas of the La Gloria mill, Veracruz. These areas are geographically
					located between 19º 29’-19º 23’ N, and 96º 21’-96º 31’ W in the central coastal
					plain region of the state of Veracruz, Mexico, where the average wind speed is
					43 km/h. In the studied area there are some rural communities close to La Gloria
					mill, along with the rural community called La Gloria, which is practically
					adjacent to it. </p>
				<p>The predominant climate is Aw<sub>1</sub>, being warm subhumid with a mean annual
					temperature greater than 22 ºC and a coldest month temperature greater than 18
					ºC. The precipitation of the driest month is less than 60 mm; the summer
					rainfall occurs with precipitation/temperature index between 43.2 and 55.3; the
					annual precipitation is around 1400 mm according to the Köppen climate
					classification (<xref ref-type="bibr" rid="B5">García 2004</xref>). There are
					three clearly distinguished seasons throughout the year: drought, rainy and with
					strong northerly winds. </p>
			</sec>
			<sec>
				<title>Collection of particulate matter samples</title>
				<p>This activity was carried out during and after the sugarcane harvesting, because
					in this time the sugarcane mill was operating day and night. This gave rise to
					the particulate matter (ashes) emission from La Gloria mill. Sometime after this
					process was completely established, the sample collection started in each
					selected site. </p>
				<p>Two studied areas, zone A and zone B, were selected for the collection of the
					particulate matter samples, with a total amount, for both zones, of 51 sampling
					sites, being zone A the closest to the La Gloria mill (<xref ref-type="fig"
						rid="f1">Fig. 1</xref>). During the operation of La Gloria mill, 50 samples
					were collected for each site, each one consisting of 20 g/d. After each
					sampling, all particulate matter samples were taken to the laboratory, until the
					50 samples for every site on zones A and B were collected. Subsequently, all
					particulate matter accumulated during the sampling was carefully mixed up, from
					which a composed sample of 500 g was obtained and then sieved with 250 μm (No.
					60) mesh for the removal of undesirable material. The resulting samples were
					taken to the laboratory for further analyses. The collection of particulate
					matter samples in all the 51 sampling sites of zones A and B was done in
					relatively small cylindrical containers with the following dimensions: 40 cm of
					base diameter and 15 cm of height. These sampling containers were placed 30 cm
					above the soil surface to reduce, as much as possible, the entrance of any
					particles that could contaminate the particulate matter samples gradually
					entering into the referred containers. From each sieved sample, 50 g were taken
					and packaged in a previously labeled 16.5 × 14.9 cm Ziploc bag. These bags were
					stored in closed desiccators to avoid moisture absorption from the environment
					and remained there until their analysis in the laboratory (<xref ref-type="fig"
						rid="f2">Fig. 2</xref>). These analyses were performed using the atomic
					absorption spectrophotometry technique. </p>
				<p>
					<fig id="f1">
						<label>Fig. 1</label>
						<caption>
							<title>Distribution and location of zones A and B where the ash
								collection sites were distributed in the study area
								(self-elaboration with information provided by Google Earth)</title>
						</caption>
						<graphic xlink:href="0188-4999-rica-36-02-275-gf1.png"/>
					</fig>
				</p>
				<p>
					<fig id="f2">
						<label>Fig. 2</label>
						<caption>
							<title>Processes of: (1) collection, (2) sieving, (3) weighing, and (4)
								packaging of ash samples at the 51 selected sites</title>
						</caption>
						<graphic xlink:href="0188-4999-rica-36-02-275-gf2.png"/>
					</fig>
				</p>
			</sec>
			<sec>
				<title>Samples homogenization</title>
				<p>Each sieved and homogenized 50-g sample was taken and deposited in a 1-L Imhoff
					cone containing 500 mL of distilled water. Then it was stirred up using a glass
					rod and allowed to rest for 1 min. The fine particles that were not ashes
					precipitated to the bottom of the cone, while ashes floated and were decanted
					immediately on a long neck glass funnel, upon which a filter paper was placed to
					retain them. Subsequently, the ashes were placed in a porcelain capsule to be
					dried up in an oven at 100 ºC until a constant weight was reached. The dry ash
					sample was prepared to carry out its digestion in the CEM trademark microwave
					oven.</p>
			</sec>
			<sec>
				<title>Chemical analysis of particulate matter samples</title>
				<p>To carry out the laboratory analyses, a Thermo Scientific iCE 3500 AAS System
					atomic absorption spectrophotometer was used, which is installed and operated in
					the laboratory of the Technological Institute of Boca del Río, Veracruz. The
					following analysis technique was applied to the ash samples: </p>
				<p><italic>1. Preparation of laboratory material for analysis of the particulate
						matter (ash) samples.</italic> The preparation of the material used in the
					laboratory was carried out under the specifications established by
					NOM-117-SSA1-1994 and NOM-242-SSA1-2009 for the analysis of heavy metals, in
					which the various methods for determining Cd, Pb, Cu, and Zn in food, drinking
					water, purified water and specific substrates by atomic absorption spectrometry
					are described. </p>
				<p><italic>2. Cleaning of Teflon and glass materials for sample analysis.</italic>
					The cleaning of the Teflon materials for digestion and glassware was carried out
					with phosphate-free mild (neutral pH) soap at 10 % per liter of distilled water.
					This soap was used in order to avoid ionic interferences in the
					spectrophotometer reading. After soaping the material and rinsing it with tap
					water, it was immersed in a distilled water solution with 20 % nitric acid
						(HNO<sub>3</sub>) (per liter). </p>
				<p>The Teflon beakers remained for 1 to 2 h in this solution, while the glassware
					remained for 24 h. Once the process of removing any metal residue in the
						HNO<sub>3</sub> solution was completed, the materials were immersed in type
					II or double-distilled water. The glassware and Teflon beakers remained there
					for up to 24 h to ensure a complete removal of the acid.</p>
				<p>Finally, the materials were removed from the type II water and drained onto the
					absorbent material. The clean and dry material was suitably placed in duly
					labeled, airtight (Ziploc) bags or containers with a lid. </p>
				<p><italic>3. Digestion of particulate matter samples.</italic> First, 0.5 g of a
					particulate matter sample were weighed. Each sample was then placed in an HP-500
					Teflon beaker, to which 10 mL of 70 % (suprapur) reactive grade HNO<sub>3</sub>
					were added. Previously, a safety membrane was placed inside each valve or blue
					plug. The valve was placed in the beaker cup and gently adjusted to the bottom.
					The beakers were then placed in a CEM MARS X microwave oven.</p>
				<p>All samples were analyzed with a blank sample containing 0.5 mL of
					double-distilled water and 10 mL of HNO<sub>3</sub> of the same characteristics,
					as well as a reference control. Programming of the digestion process was made by
					the Soil-3051 HP500 method.</p>
				<p>The power was adjusted based on the number of beakers used: 1-3 (300 W), 4-6 (600
					W) and 6-12 (1200 w) (<xref ref-type="table" rid="t1">Table I</xref>). </p>
				<p>
					<table-wrap id="t1">
						<label>TABLE I</label>
						<caption>
							<title>PROGRAMMING OF THE MICROWAVE OVEN SOIL-3051 HP500 METHOD FOR
								SOLID WASTE</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col span="3"/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<tbody>
								<tr>
									<td align="center" rowspan="2">Stage</td>
									<td align="center" colspan="2">Power</td>
									<td align="center" rowspan="2">Ramp</td>
									<td align="center" rowspan="2">PSI</td>
									<td align="center" rowspan="2">ºC</td>
								</tr>
								<tr>
									<td align="center">Max</td>
									<td align="center">%</td>
								</tr>
								<tr>
									<td align="center">1</td>
									<td align="center">1200 W</td>
									<td align="center">100</td>
									<td align="center">2:00 min</td>
									<td align="center">300</td>
									<td align="center">165</td>
								</tr>
								<tr>
									<td align="center">2</td>
									<td align="center">1200 W</td>
									<td align="center">100</td>
									<td align="center">10:00 min</td>
									<td align="center">300</td>
									<td align="center">175</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN1">
								<p>Note: The power was adjusted based on the number of beakers used:
									1-3 (300 W), 4-6 (600 W) and 6-12 (1200 W)</p>
							</fn>
							<fn id="TFN2">
								<p>PSI: pressure per square inch, Ramp digestion time in each
									stage</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>Once the digestion was completed, the Teflon beakers were removed from the oven
					and placed in the fume hood for toxic vapors, using the required safety measures
					such as the use of glasses, mask and gloves, in order to facilitate the handling
					of the samples. The blue valve on the beakers was carefully opened to gradually
					lower the pressure. Subsequently, the beakers were carefully opened to prevent
					the change of pressure derived from ejecting the sample outside of them.</p>
				<p>The samples obtained were filtered using a Nalgene bottle with a 0.45 μm
					Millipore filter and a vacuum pump. The filtrate was poured into a 25 mL
					volumetric flask and brought to volumetric level with type II or
					double-distilled water. The filled flasks were stirred to homogenize the sample,
					which was then poured into a previously labeled glass or plastic amber
					container. Finally, parafilm was placed in the mouth of the amber containers,
					which were then placed in airtight (Ziploc) bags for storage at about 4 ºC until
					read on the atomic absorption spectrophotometer. </p>
				<p>Prior to the sample reading, a calibration curve had to be prepared for each
					metal analyzed, for which certified standards of trademark High Purity Standards
					were used. Thus, the sample readings and standards used for each metal are
					described as follows:</p>
				<p>
					<list list-type="bullet">
						<list-item>
							<p>Cd: a wavelength of 228.8 nm with a 50 % current lamp, a flame of
									air-C<sub>2</sub>H<sub>2</sub>, with a lighter height of 4.1 mm
								and a combustion flow of 1.0 L/min were used. </p>
						</list-item>
						<list-item>
							<p>Cu: a wavelength of 324.8 nm with a 75 % current lamp, a flame of
									air-C<sub>2</sub>H<sub>2</sub>, with a lighter height of 4.1 mm
								and a combustion flow of 1.0 L/min were used. </p>
						</list-item>
						<list-item>
							<p>Zn: a wavelength of 213.9 nm with a 75 % current lamp, a flame of
									air-C<sub>2</sub>H<sub>2</sub>, with a lighter height of 7.0 mm
								and a combustion flow of 1.0 L/min were used. </p>
						</list-item>
						<list-item>
							<p>Pb: a wavelength of 217.0 nm with a 90 % current lamp, a flame of
									air-C<sub>2</sub>H<sub>2</sub>, with a lighter height of 5.4 mm
								and a combustion flow of 1.3 L/min were used. </p>
						</list-item>
					</list>
				</p>
				<p>In addition, the optimization of instrumental specifications such as airflow,
					acetylene gas, lamp wavelength and lighter height for each metal was done. After
					this, the equipment became stable and the corresponding standards (with known
					concentrations and a lower to higher concentration range of analyte) were read
					for each studied metal. To obtain a calibration curve with a correlation
					coefficient greater than 0.99, the reading of the digested samples absorbance
					was made. Hence, the obtained results remained within the concentrations of the
					calibration curve. </p>
			</sec>
		</sec>
		<sec sec-type="results|discussion">
			<title>RESULTS AND DISCUSSION</title>
			<sec>
				<title>Concentration of heavy metals in particulate matter</title>
				<sec>
					<title><italic>Cadmium (Cd)</italic></title>
					<p>It was found that the concentrations of Cd in the analyzed samples ranged
						from 0.451 to 432.81 µg/g for both zones where samples were collected (<xref
							ref-type="fig" rid="f3">Fig. 3</xref>). The highest Cd concentrations
						were recorded in zone A. </p>
					<p>
						<fig id="f3">
							<label>Fig. 3</label>
							<caption>
								<title>Distribution of Cd concentrations at the 51 sampling
									points</title>
							</caption>
							<graphic xlink:href="0188-4999-rica-36-02-275-gf3.png"/>
						</fig>
					</p>
					<p>It was also found that Cd exceeded the maximum allowable limit for industrial
						use according to the Official Mexican Standard NOM-147-SEMARNAT/SSA1-2014,
						which is 39 µg/g. The obtained concentrations of Cd also exceeded the 6 µg/g
						limit established by the Federal Commission for Protection from Health Risks
						(COFEPRIS, Spanish acronym) for the consumption of bivalve mollusks, hence
						it is considered a risk to public health when the particulate matter
						containing Cd is deposited in water streams or water bodies (<xref
							ref-type="bibr" rid="B10">Lango-Reynoso et al. 2010</xref>). It is
						important to emphasize that these concentrations were only found in 50 g of
						particulate matter.</p>
					<p>Likewise, heavy metals have been found in different concentrations in fish,
						meat and milk resulting from bioaccumulation and transport processes from
						the environment to water sources. Some species such as oysters, shellfish
						and mollusks accumulate Cd from water in the form of linker peptides until
						reaching concentrations between 100 and 1000 µg/g (<xref ref-type="bibr"
							rid="B11">Luo et al. 2009</xref>). <xref ref-type="bibr" rid="B16">Reyes
							et al. (2016)</xref> mentioned that Cd concentration values higher than
						50 μg/g in industrial activities represent a risk to public health if
						inhaled by exposed workers.</p>
					<p>As a result of population growth, human beings have been the most affected by
						industrial development. In this regard, several studies have detected that
						the organ most susceptible to potential damage caused by Cd inhalation is
						the lung. Chronic obstructive airway diseases associated with prolonged
						exposure to intense Cd inhalation have also been reported. Among other
						conditions, lung cancer development has also been documented (<xref
							ref-type="bibr" rid="B6">Gomez-Caminero et al. 2001</xref>).</p>
				</sec>
				<sec>
					<title><italic>Copper (Cu)</italic></title>
					<p>
						<xref ref-type="fig" rid="f4">Figure 4</xref> shows that the Cu
						concentration values ranged from 0.034 to 356.91 µg/g. The sampling points
						closest to the emission source had the highest concentrations of this metal.
							<xref ref-type="bibr" rid="B13">Mohanraj et al. (2004)</xref> reported
						that heavy metals in airborne particulate matter, such as Cu, can also be
						attributed in part to vehicular emissions. This finding can be supported by
						the fact that there was a permanent traffic of 530 big lorries transporting
						harvested sugarcane from the fields to the sugar mill. Moreover, the traffic
						of public transportation and private local vehicles was also observed. </p>
					<p>
						<fig id="f4">
							<label>Fig. 4</label>
							<caption>
								<title>Distribution of Cu concentrations at the 51 sampling
									points</title>
							</caption>
							<graphic xlink:href="0188-4999-rica-36-02-275-gf4.png"/>
						</fig>
					</p>
					<p>
						<xref ref-type="bibr" rid="B9">Kabata-Pendias (2000)</xref> reported a Cu
						concentration of 0.2 μg/g in agricultural soils in the Aconcagua River basin
						(Valparaíso region, Chile), which causes plant susceptibility due to the
						phytotoxic effects of this metal.</p>
					<p>The arrival of Cu to water bodies and, subsequently, to underground streams
						is the result of agricultural and industrial activities that emit this
						element in the form of particulate matter (<xref ref-type="bibr" rid="B8"
							>Herrera-Núñez et al. 2013</xref>). The average Cu concentration found
						in the waters of the Chico River, Venezuela, was 11.52 μg/g, similar to the
						maximum value established for non-polluted environments. It was also
						reported for the Boca River in Paparo, Venezuela, that the Cu level was
						higher than 46.1 μg/g because it is in an area polluted by industrial
						activities (<xref ref-type="bibr" rid="B19">Sadiq 1992</xref>, <xref
							ref-type="bibr" rid="B1">Acosta et al. 2002</xref>).</p>
					<p>In this sense, the Cu concentration found for a 50 g sample in this study
						area could imply a harm to either human health or the environment. However,
						there is a potential future risk, due to the adhesion of this heavy metal to
						human, animal and plant tissue.</p>
					<p>The exposition to Cu and other heavy metals adhered to particulate matter and
						released to the atmosphere as a result of sugarcane burning and the
						agroindustrial activity of La Gloria mill pose a high risk and harm to human
						health. Regarding the latter, NOM-010-STPS-1999 sets the maximum permissible
						limits for Cu smoke exposition during eight daily or 40 weekly hours. The
						maximum permissible exposure limit (PEL) is 0.2 μg/m and the short-term
						exposure limit (STEL) is 2 μg/m.</p>
					<p>Since the devices used herein had a total volume of 0.018 m<sup>3</sup>, in
						which a weight of about 20 g of particulate matter was collected in each
						sampling for each site, when converting the container volume to cubic meters
						the amount of ashes as well as smoke was about 1061 g. Therefore, the
						obtained results may be clearly suggesting that most of the concentrations
						of Cu obtained in this study are greater than the permissible limit
						established by NOM-010-STPS-1999 (<xref ref-type="fig" rid="f4">Fig.
							4</xref>). The reason for writing down the former paragraph in such way
						is that the particulate matter sample was not directly measured in cubic
						meters as mentioned by the referred NOM. </p>
				</sec>
				<sec>
					<title><italic>Lead (Pb)</italic></title>
					<p>The Pb results obtained herein showed an upward behavior in concentrations,
						which were observed in a range from 101.45 to 1892.1 μg/g (<xref
							ref-type="fig" rid="f5">Fig. 5</xref>). </p>
					<p>
						<fig id="f5">
							<label>Fig. 5</label>
							<caption>
								<title>Distribution of Pb concentrations at the 51 sampling
									points</title>
							</caption>
							<graphic xlink:href="0188-4999-rica-36-02-275-gf5.png"/>
						</fig>
					</p>
					<p>NOM-147-SEMARNAT/SSA1-2014 sets a maximum permissible limit of 600 μg/g for
						the concentration of Pb in industrial zones. From the results observed in
						the studied area surrounding La Gloria mill, it can be observed that
						concentration levels are higher than those established by the standard. This
						indicates that the environment is being affected by Pb concentrations
						present in particulate matter emitted by the mill and sugarcane burning.</p>
					<p>Pb that is dispersed into the atmosphere, which adheres to particulate matter
						resulting from industrial and agroindustrial processes, is responsible for
						harmful health effects in people, animals and plants (<xref ref-type="bibr"
							rid="B20">Sánchez 2000</xref>). It has been reported that some plant
						species have a tolerance level of less than 1 μg/g of Pb bioaccumulation in
						the soil. When this Pb concentration is exceeded, plants organs do not
						assimilate this metal and therefore they die. In addition, the Joint FAO/WHO
						Expert Committee on Food Additives and Codex Alimentarius (JECFA)
						established the maximum permissible limit of Pb in horticultural plants in
						the range of 100 to 300 μg/g (<xref ref-type="bibr" rid="B4">CAC
						2011</xref>).</p>
					<p>The maximum permissible limits set up in these standards are used as a
						reference for establishing safety criteria for agricultural products
						projected for human consumption. In this sense, the Pb concentrations found
						within the study area were higher than those indicated in these standards.
						Therefore, horticultural plants planted inside or close to the study area
						are exposed to contamination by Pb adhering to particulate matter. </p>
				</sec>
				<sec>
					<title><italic>Zinc (Zn)</italic></title>
					<p>This element presented the lowest concentrations with respect to the other
						heavy metals determined in the studied area. These concentrations were found
						in the range of 6.83 to 56.39 μg/g (<xref ref-type="fig" rid="f6">Fig.
							6</xref>). Both NOM-127-SSA1-1994 and the Ecological Criteria for Water
						Quality (CE-CCA-001/89) establish a maximum permissible limit of 5 mg/L,
						which is approximately equal to 5 μg/g. When this particulate matter is
						deposited in any water body that can be eventually used for human
						consumption, it becomes a risk to public health. </p>
					<p>
						<fig id="f6">
							<label>Fig. 6</label>
							<caption>
								<title>Distribution of Zn concentrations at the 51 sampling
									points</title>
							</caption>
							<graphic xlink:href="0188-4999-rica-36-02-275-gf6.png"/>
						</fig>
					</p>
					<p>In this regard, <xref ref-type="bibr" rid="B12">Machado et al. (2008)</xref>
						reported concentrations of 7.41 μg/g in particulate matter within an
						industrial area of the city of Buenos Aires, Argentina, where there was also
						high diesel-powered vehicular traffic. </p>
					<p>Even though the Zn concentrations observed in this study were lower than
						those found for Cd, Cu and Pb, this does not ensure that the agroecosystems
						are not at risk, since prolonged exposure to this metal may cause
						alterations or decreases in agricultural production (<xref ref-type="bibr"
							rid="B17">Risser and Baker 1990</xref>). </p>
					<p>
						<xref ref-type="bibr" rid="B24">Tembo et al. (2006)</xref> also reported
						that the concentration of this element decreases in soil, plants and water
						bodies, due to factors such as temperature, rainfall and soil moisture, as
						well as to leaching and dispersion processes of this element by air. This
						latter process is also a function of the distance from the sampling sites to
						the emission source.</p>
					<p>The concentration values of Cd, Cu, Pb and Zn found in the particulate matter
						samples collected in sampling areas A and B of the studied area, do not show
						significant statistical differences. This could be partially attributed to
						the fact that only a single mill with an emission source of considerable
						importance was considered. However, in this analysis it was found that Pb
						had a higher concentration in comparison to the other heavy metals
						identified in this research work. </p>
				</sec>
			</sec>
			<sec>
				<title>Distribution and levels of contamination by heavy metals</title>
				<p>A heavy metals index was constructed through a principal component analysis (PCA)
					for the concentrations of particulate matter collected at the sampling sites
					under study. By means of this analysis, the eigenvalues for each component were
					identified. Subsequently, component one (C<sub>1</sub>) was chosen because of
					its greater explained variance (<xref ref-type="table" rid="t2">Table
					II</xref>). According to the PCA, this indicates that the first component
					(factor) has the highest eigenvalue of all factors, differentiating the highest
					and lowest value of the components. </p>
				<p>
					<table-wrap id="t2">
						<label>TABLE II</label>
						<caption>
							<title>ANALYSIS OF THE EXPLAINED VARIANCE MATRIX</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<tbody>
								<tr>
									<td align="justify">Variable </td>
									<td align="center">Factor 1</td>
									<td align="center">Factor 2</td>
									<td align="center">Factor 3</td>
									<td align="center">Factor 4</td>
								</tr>
								<tr>
									<td align="justify">Lead</td>
									<td align="center">0.825</td>
									<td align="center">-0.174</td>
									<td align="center">0.169</td>
									<td align="center">-0.511</td>
								</tr>
								<tr>
									<td align="justify">Cadmium</td>
									<td align="center">0.032</td>
									<td align="center">-0.910</td>
									<td align="center">0.320</td>
									<td align="center">0.261</td>
								</tr>
								<tr>
									<td align="justify">Copper</td>
									<td align="center">-0.006</td>
									<td align="center">-0.395</td>
									<td align="center">-0.912</td>
									<td align="center">-0.108</td>
								</tr>
								<tr>
									<td align="justify">Zinc</td>
									<td align="center">0.815</td>
									<td align="center">0.209</td>
									<td align="center">-0.190</td>
									<td align="center">0.506</td>
								</tr>
								<tr>
									<td align="justify">Exploratory variable </td>
									<td align="center">1.345</td>
									<td align="center">1.058</td>
									<td align="center">0.999</td>
									<td align="center">0.597</td>
								</tr>
								<tr>
									<td align="justify">Total proportion</td>
									<td align="center">0.336</td>
									<td align="center">0.265</td>
									<td align="center">0.249</td>
									<td align="center">0.149</td>
								</tr>
							</tbody>
						</table>
					</table-wrap>
				</p>
				<p>The PCA also allowed the acquisition of the factorial loads (index) for each
					variable, in which the sites with the highest and lowest concentration of heavy
					metals were detected (<xref ref-type="fig" rid="f7">Fig. 7</xref>). </p>
				<p>
					<fig id="f7">
						<label>Fig. 7</label>
						<caption>
							<title>Classification of contamination levels in high, medium and low
								groups, according to the index obtained from the principal component
								analysis</title>
						</caption>
						<graphic xlink:href="0188-4999-rica-36-02-275-gf7.png"/>
					</fig>
				</p>
				<p>In this sense, it is convenient to emphasize that the source of energy to operate
					La Gloria mill is the combustion of fuel oil combined with bagasse of cane; this
					results in the emission of large volumes of particulate matter containing heavy
					metals (i.e., Pb and Zn). In the opinion of the authors, this causes the
					adherence of Pb and Zn during the process.</p>
				<p>In addition, it has been reported that Zn concentrations in the environment are
					increasing due to anthropogenic activities. A considerable amount of Zn is added
					as a result of industrial and mining activities as well as carbon combustion
						(<xref ref-type="bibr" rid="B14">Pacyna 1996</xref>, <xref ref-type="bibr"
						rid="B22">Shallari et al. 1998</xref>, <xref ref-type="bibr" rid="B7">He et
						al. 2005</xref>, <xref ref-type="bibr" rid="B2">Arruti et al. 2010</xref>).
					Therefore, when one can see the results derived from the principal component
					analysis, it is observed that Pb and Zn show a good correlation with factor 1.
					Therefore, it is reasonable to asseverate that the source of major impact in the
					Pb and Zn concentration is fuel oil and bagasse combustion, which is enhanced by
					sugarcane burning and the permanent traffic of lorries transporting the
					harvested sugarcane and particular vehicles from local inhabitants. </p>
				<p>Furthermore, the PCA was a useful statistical tool to group the concentrations of
					the analyzed heavy metals into the following categories: high, medium and low.
					It also made possible to build up a map that included isolines for Cd, Cu, Pb
					and Zn. </p>
				<p>
					<xref ref-type="table" rid="t3">Table III</xref> shows that factor one has a
					high correlation with Pb and Zn, which makes them the most representative
					metals.</p>
				<p>
					<table-wrap id="t3">
						<label>TABLE III</label>
						<caption>
							<title>ANALYSIS OF CORRELATION OF THE VARIABLES WITH COMPONENTS</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<tbody>
								<tr>
									<td align="center">Factor</td>
									<td align="center">Eigenvalue</td>
									<td align="center">Total variance (%)</td>
									<td align="center">Total cumulative value</td>
									<td align="center">Cumulative (%)</td>
								</tr>
								<tr>
									<td align="center">1</td>
									<td align="center">1.345</td>
									<td align="center">33.627</td>
									<td align="center">1.345</td>
									<td align="center">33.627</td>
								</tr>
								<tr>
									<td align="center">2</td>
									<td align="center">1.058</td>
									<td align="center">26.462</td>
									<td align="center">2.403</td>
									<td align="center">60.089</td>
								</tr>
								<tr>
									<td align="center">3</td>
									<td align="center">0.999</td>
									<td align="center">24.979</td>
									<td align="center">3.402</td>
									<td align="center">85.069</td>
								</tr>
								<tr>
									<td align="center">4</td>
									<td align="center">0.597</td>
									<td align="center">14.930</td>
									<td align="center">4.000</td>
									<td align="center">100.000</td>
								</tr>
							</tbody>
						</table>
					</table-wrap>
				</p>
			</sec>
			<sec>
				<title>Distribution of particulate matter</title>
				<p>Particulate matter is emitted through the industrial chimney stack. The higher
					the chimney is, the greater the probability that pollutants will be dispersed
					and diluted before affecting neighboring populations. The chimney’s visible
					emission is called plume, and its height is determined by the speed and thrust
					of the gases coming out of the chimney (Lou et al. 2009). According to the
					distance at which the highest concentrations of particulate matter occur these
					are not dependent on wind speed (<xref ref-type="bibr" rid="B23">Solís y López
						2003</xref>). The highest concentration is maintained at a distance of 500 m
					from the emitting source. Usually wind favors the dispersion of pollutants and
					humidity plays a negative role in the dispersion, due to the concentration of
					smoke and particulate matter. </p>
				<p>The distribution of particulate matter in the surrounding area of La Gloria sugar
					mill and the sugarcane burning area presents a high level of concentration in
					places closest to the emission source, with distant sites presenting medium and
					low concentrations. This is attributable to the dispersion, i.e., the transport
					of particulate matter in the air, which depends on the prevailing weather
					conditions such as wind speed and direction that were observed while collecting
					the particulate matter samples. This information was not available for the
					studied zone and it was not possible to retrieve it from institutions like the
					Water National Commission (CONAGUA, Spanish acronym), hence it was not included
					in the article. The different types of volatile particle dispersion phenomena
					caused accumulation in areas close to the source of emission and their transport
					to closer areas. <xref ref-type="fig" rid="f8">Figure 8</xref> shows the
					location of the sampling sites; the high, medium and low concentration levels
					are indicated by using the following geometric figures: circles, squares, and
					triangles.</p>
				<p>
					<fig id="f8">
						<label>Fig. 8</label>
						<caption>
							<title>Geographic distribution of sampling sites and concentration
								levels of the metals found in this study</title>
						</caption>
						<graphic xlink:href="0188-4999-rica-36-02-275-gf8.png"/>
					</fig>
				</p>
				<p>It is necessary to clarify that the scope of this study was constrained to the
					determination of concentrations and spatial distribution of the heavy metals Cd,
					Cu, Pb and Zn present in particulate matter emitted by the La Gloria sugar mill
					and sugarcane burning in regional agroecosystems, as a function of the distance
					at which such material was deposited during the emission process. The reason to
					stress this issue is the lack of financial support, which hindered the extension
					of this research work to other aspects.</p>
				<p>By means of an analysis of variance of the high, medium and low concentration
					types, it was found that there were significant statistical differences (p =
					0.0001) between types (<xref ref-type="fig" rid="f9">Fig. 9</xref>). </p>
				<p>
					<fig id="f9">
						<label>Fig. 9</label>
						<caption>
							<title>Pollutant concentration levels by types</title>
						</caption>
						<graphic xlink:href="0188-4999-rica-36-02-275-gf9.png"/>
					</fig>
				</p>
			</sec>
		</sec>
		<sec sec-type="conclusions">
			<title>CONCLUSIONS</title>
			<p>Each of the metals had different concentrations. Cd exceeded the maximum permissible
				limits established by the Official Mexican Standard NOM-147-SEMARNAT/SSA1-2014, in
				terms of heavy metal concentrations in industrial zones. This standard also
				establishes the maximum permissible limits for Pb, which in this study exceeded the
				norm. Both Cu and Zn had low concentrations; however, their minimal presence does
				not make them less dangerous for regional agroecosystems. </p>
			<p>Particulate matter emitted by La Gloria mill shows high concentrations of the studied
				heavy metals, which affect - as mentioned in previous paragraphs - the flora, fauna
				and water of the region’s agroecosystems, due to the fact that plants undergo
				modifications in their stomata opening, photosynthesis and transpiration, and their
				ability to synthesize chlorophyll is inhibited. Moreover, these concentrations
				degrade the soil and change its alkalinity.</p>
			<p>Carrying out this research project posed a great challenge due to the presence of
				strong northerly winds, which greatly hampered the collection of ash samples in the
				studied sites. This leaves us with the task of developing appropriate equipment and
				instruments to carry out the monitoring of concentrations of heavy metals and other
				elements in the particulate matter emitted by La Gloria mill and sugarcane burning.
				Heavy metals such as Cd and Pb are considered carcinogenic to humans and represent a
				latent risk of causing bronchopulmonary and ocular diseases to residents living in
				the area where this study was carried out.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>ACKNOWLEDGMENT</title>
			<p>Thanks to the Consejo Nacional de Ciencia y Tecnología (CONACyT), Colegio de
				Postgraduados Campus Veracruz (LGAC-RENACC) and Instituto Tecnológico de Boca del
				Río (ITBOCA) for their financial support. </p>
		</ack>
		<ref-list>
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