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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">ni</journal-id>
			<journal-title-group>
				<journal-title>Neotropical Ichthyology</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Neotrop.
					ichthyol.</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">1679-6225</issn>
			<issn pub-type="epub">1982-0224</issn>
			<publisher>
				<publisher-name>Sociedade Brasileira de Ictiologia</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="other">00205</article-id>
			<article-id pub-id-type="doi">10.1590/1982-0224-2023-0092</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Original Article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>
					Microplastics contamination in fish, water, and sediment surrounding
							Ubatuba beaches, Southeastern Brazil</article-title>
			</title-group>
			
			
			<contrib-group>
				<contrib contrib-type="author" corresp="yes">
					<contrib-id contrib-id-type="orcid">0000-0002-4877-2718</contrib-id>
					<name>
						<surname>Nogueira</surname>
						<given-names>Esteban Jorcin</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<role>Conceptualization</role>
					<role>Data curation</role>
					<role>Formal analysis</role>
					<role>Funding acquisition</role>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Project administration</role>
					<role>Visualization</role>
					<role>Writing-original draft</role>
					<role>Writing-review and editing</role>
				</contrib>
				
				
				<contrib contrib-type="author" corresp="no">
					<contrib-id contrib-id-type="orcid">0000-0003-2790-968X</contrib-id>
					<name>
						<surname>Fernandes</surname>
						<given-names>Erminio</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
					<role>Conceptualization</role>
					<role>Methodology</role>
					<role>Supervision</role>
					<role>Writing-original draft</role>
					<role>Writing-review and editing</role>
				</contrib>
				
				<contrib contrib-type="author" corresp="no">
					<contrib-id contrib-id-type="orcid">0000-0003-3020-3469</contrib-id>
					<name>
						<surname>Nogueira</surname>
						<given-names>Marcos Gomes</given-names>
					</name>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
					<role>Formal analysis</role>
					<role>Funding acquisition</role>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Writing-original draft</role>
					<role>Writing-review and editing</role>
				</contrib>
				
				<contrib contrib-type="author" corresp="no">
					<contrib-id contrib-id-type="orcid">0000-0002-3902-0661</contrib-id>
					<name>
						<surname>Cetra</surname>
						<given-names>Mauricio</given-names>
					</name>
					<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
					<role>Formal analysis</role>
					<role>Methodology</role>
					<role>Writing-original draft</role>
					<role>Writing-review and editing</role>
				</contrib>
				
				<contrib contrib-type="author" corresp="no">
					<contrib-id contrib-id-type="orcid">0000-0003-4748-472X</contrib-id>
					<name>
						<surname>Mattox</surname>
						<given-names>George Mendes Taliaferro</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<role>Conceptualization</role>
					<role>Data curation</role>
					<role>Funding acquisition</role>
					<role>Methodology</role>
					<role>Project administration</role>
					<role>Resources</role>
					<role>Supervision</role>
					<role>Visualization</role>
					<role>Writing-original draft</role>
					<role>Writing-review and editing</role>
				</contrib>
			</contrib-group>
			
			<aff id="aff1">
				<institution content-type="original">Laboratório de Ictiologia de Sorocaba (LISO), Departamento de Biologia, Universidade Federal de São Carlos (UFSCar), Campus Sorocaba, SP-264, km 110, 18052-780 Sorocaba, SP, Brazil. (EJN) esteban1nogueira@gmail.com (corresponding author), (GMTM) gmattox@ufscar.br.</institution>
				<institution content-type="orgdiv1">Laboratório de Ictiologia de Sorocaba</institution>
				<institution content-type="orgdiv2">Departamento de Biologia</institution>
				<institution content-type="orgname">Universidade Federal de São Carlos</institution>
				<addr-line>
					<city>Sorocaba</city>
					<postal-code>18052-780</postal-code>
				</addr-line>
				<state>SP</state>
				<country country="BR">Brazil</country>
				<email>esteban1nogueira@gmail.com</email>
				<email>gmattox@ufscar.br</email>
			</aff>
			
			
			<aff id="aff2">
				<institution content-type="original">Departamento de Geografia, Turismo e Humanidades, Universidade Federal de São Carlos (UFSCar), Campus Sorocaba, SP-264, km 110, 18052-780 Sorocaba, SP, Brazil. (EF) erminio.fernandes@gmail.com.</institution>
				<institution content-type="orgdiv1">Departamento de Geografia, Turismo e Humanidades</institution>
				<institution content-type="orgname">Universidade Federal de São Carlos (UFSCar)</institution>
				<addr-line>
					<city>Sorocaba</city>
					<postal-code>18052-780</postal-code>
				</addr-line>
				<state>SP</state>
				<country country="BR">Brazil</country>
				<email>erminio.fernandes@gmail.com</email>
			</aff>
			
			<aff id="aff3">
				<institution content-type="original">Setor de Zoologia, Instituto de Biociências, Universidade Estadual Paulista “Júlio de Mesquita” (UNESP), Rubião Júnior, 18618-689 Botucatu, SP, Brazil. (MGN) marcos.nogueira@unesp.br.</institution>
				<institution content-type="orgdiv1">Setor de Zoologia, Instituto de Biociências</institution>
				<institution content-type="orgdiv2">Instituto de Biociências</institution>
				<institution content-type="orgname">Universidade Estadual Paulista “Júlio de Mesquita” (UNESP)</institution>
				<addr-line>
					<city>Botucatu</city>
					<postal-code>18618-689</postal-code>
				</addr-line>
				<state>SP</state>
				<country country="BR">Brazil</country>
				<email>marcos.nogueira@unesp.br</email>
			</aff>
			
			<aff id="aff4">
				<institution content-type="original">Departamento de Ciências Ambientais, Universidade Federal de São Carlos (UFSCar), Campus Sorocaba, SP-264, km 110, 18052-780 Sorocaba, SP, Brazil. (MC) mcetra@ufscar.br.</institution>
				<institution content-type="orgdiv1">Departamento de Ciências Ambientais</institution>
				<institution content-type="orgname">Universidade Federal de São Carlos (UFSCar)</institution>
				<addr-line>
					<city>Sorocaba</city>
					<postal-code>18052-780</postal-code>
				</addr-line>
				<state>SP</state>
				<country country="BR">Brazil</country>
				<email>mcetra@ufscar.br</email>
			</aff>
			
			<author-notes>
				<fn fn-type="edited-by" id="fn1">
					<label>Edited-by</label>
					<p>Francisco Araújo</p>
				</fn>
				<fn fn-type="corresp" id="fn2">
					<label>Correspondence</label>
					<p>Esteban Jorcin Nogueira esteban1nogueira@gmail.com</p>
				</fn>
				<fn fn-type="conflict" id="fn3">
					<label>Competing Interests</label>
					<p>The author declares no competing interests.</p>
				</fn>
				<fn fn-type="other" id="fn4">
					<label>Ethical Statement</label>
					<p>This research is registered at the Ethics Committee on the Use of Animals of
						Universidade Federal de São Carlos (UFSCar) (CEUA nº 5280201120) and
						collections were authorized by Instituto Chico Mendes, Ministério do Meio
						Ambiente (SISBIO 75633–1).</p>
				</fn>
			</author-notes>
			<pub-date date-type="pub" publication-format="electronic">
				<day>07</day>
				<month>06</month>
				<year>2024</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">
				<year>2024</year>
			</pub-date>
			<volume>22</volume>
			<issue>02</issue>
			<elocation-id>e230092</elocation-id>
			<history>
				<date date-type="received">
					<day>18</day>
					<month>08</month>
					<year>2023</year>
				</date>
				<date date-type="accepted">
					<day>22</day>
					<month>02</month>
					<year>2024</year>
				</date>
			</history>
			
			<permissions>
				<copyright-statement>© 2024 The Authors</copyright-statement>
				<copyright-year>2023</copyright-year>
				<copyright-holder>The Authors</copyright-holder>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/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>Microplastics (MPs) contamination is a well-established impact in oceans, but
					integrated approaches combining simultaneous analyzes of biotic and abiotic
					components are scarce. This study addresses this gap, demonstrating
						<italic>Atherinella brasiliensis </italic>(fish species) ingestion of MPs
					and comparing with the contaminant presence in water and sediment. Three Ubatuba
					beaches (exposed, calm and sheltered estuary) were surveyed for fish, water, and
					sediment components in summer and winter. Environmental data evidenced spatial
					and seasonal differences (PCA/ANOVA). Presence of synthetic particles (SPs) in
					fish was high (~38%). Maximum concentrations occurred in the estuary, for water
					(490 SPs/m³), and in the exposed beach, for sediment (62 SPs/50g). Fibers format
					predominated in all components. Fish preference for blue color seems to occur.
					Significant statistical relationships were determined for fish length and SPs
					size and between SPs concentrations in water and fish. The chemical identities
					(μ-FTIR spectra) polypropylene, polyethylene, polyamide, polyester, and
					cardboard/cellulose predominated. Influences of local hydrodynamics
						(<italic>e.g</italic>., SPs sizes) and reduction in tourism during Covid-19
					epidemic (<italic>e.g</italic>.,less SPs in summer) are discussed. This study
					confirms environmental contamination by SPs (mostly MPs) in Ubatuba beaches,
					affecting fish through direct water column ingestion. Urgent actions from
					authorities and changes in local user’s habits are crucial.</p>
			</abstract>
			
			
			<trans-abstract xml:lang="pt">
				<title>Resumo</title>
				<p>Contaminação por microplásticos (MPs) é um impacto bem estabelecido nos oceanos,
					embora sejam escassos enfoques combinando análises simultâneas dos componentes
					bióticos e abióticos. Este estudo foi direcionado para esta lacuna, demonstrando
					a ingestão de MPs por <italic>Atherinella brasiliensis</italic> (espécie de
					peixe) e comparando com a presença do contaminante na água e sedimento. Três
					praias de Ubatuba (exposta, calma e estuário abrigado) foram amostradas para os
					componentes peixe, água e sedimento durante o verão e o inverno. Dados
					ambientais evidenciaram diferenças espaciais e sazonais (ACP/ANOVA). A presença
					de partículas sintéticas (PSs) em peixes foi alta (~38%). Concentrações máximas
					ocorreram no estuário, para água (490 PSs/m³), e na praia exposta, para
					sedimento (62 PSs/50g). O formato fibra predominou em todos os componentes.
					Preferência dos peixes pela cor azul parece ocorrer. Relações estatísticas
					significativas foram determinadas para comprimento dos peixes e tamanho das PSs
					e entre concentrações de PSs na água e nos peixes. As identidades químicas
					(μ-FTIR spectra), polipropileno, polietileno, poliamida, poliéster e
					celulose/papelão predominaram. Influências da hidrodinâmica local
						(<italic>e.g</italic>., tamanhos das PSs) e da redução do turismo durante a
					epidemia de Covid-19 (<italic>e.g</italic>., menos PSs no verão) são discutidas.
					Este estudo confirma a contaminação por PSs (a maioria MPs) nas praias de
					Ubatuba, afetando os peixes através da ingestão direta na coluna d’água. Ações
					urgentes por parte das autoridades e mudanças de hábitos dos usuários locais são
					cruciais.</p>
			</trans-abstract>
			
			
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd><italic>Atherinella brasiliensis</italic></kwd>
				<kwd>Cardboard/Cellulose fibers</kwd>
				<kwd>Sandy beaches</kwd>
				<kwd>Stomach contents</kwd>
				<kwd>Synthetic polymers</kwd>
			</kwd-group>
			
			
			<kwd-group xml:lang="pt">
				<title>Palavras chave:</title>
				<kwd><italic>Atherinella brasilienesis</italic></kwd>
				<kwd>Conteúdo estomacal</kwd>
				<kwd>Fibras de papelão/celulose</kwd>
				<kwd>Polímeros sintéticos</kwd>
				<kwd>Praia arenosas</kwd>
			</kwd-group>
			
			
			<funding-group>
				<award-group award-type="contract">
					<funding-source>PIBIC ProPq</funding-source>
					<award-id>001/2020</award-id>
				</award-group>
				
				<award-group award-type="contract">
					<funding-source>CNPq</funding-source>
					<award-id>162464/2020–7</award-id>
				</award-group>
				
				<award-group award-type="contract">
					<funding-source>FAPESP</funding-source>
					<award-id>2017/01970–4</award-id>
				</award-group>
			</funding-group>
			
			
			<counts>
				<fig-count count="5"/>
				<table-count count="2"/>
				<equation-count count="0"/>
				<ref-count count="64"/>
			</counts>
		</article-meta>
	</front>
	
	
	<body>
		<sec sec-type="intro">
			<title>INTRODUCTION</title>
			<p>The invention of plastic radically changed our consumption behavior and ushered in
				the era of the disposables. Its low cost, versatility and resistance were decisive
				for the exponential growth in the manufacture and use <xref ref-type="bibr" rid="B11">(Cole <italic>et al</italic>.,
				2011)</xref>. Nevertheless, the massive consumption of these synthetic polymers, associated
				with the inappropriate disposal, generated an enormous environmental contamination
				of global proportions, with the accumulation of about 5 million tons in nature,
				especially in the oceans (<xref ref-type="bibr" rid="B28">Jambeck <italic>et al</italic>., 2015</xref>; <xref ref-type="bibr" rid="B50">Silva-Cavalcanti
				<italic>et al</italic>., 2017</xref>; <xref ref-type="bibr" rid="B2">Blettler <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="B41">Olivatto
					<italic>et al</italic>., 2018</xref>). Presently, contamination with plastic residuals
				is found even in the most isolated environments on Earth, including deserts, top of
				high mountains, artic snow and deep oceans <xref ref-type="bibr" rid="B36">(Macleod <italic>et al.</italic>, 2021)</xref>.
				Recent reviews for the marine megafauna show that all groups, including turtles,
				cetaceans and fishes, are considerable affected by either ingestion or entanglement
				(<xref ref-type="bibr" rid="B7">Caron <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="B45">Rezania <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="B39">Moore
				<italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B35">López-Martínez <italic>et al</italic>., 2021</xref>;
				<xref ref-type="bibr" rid="B58">Ugwu <italic>et al</italic>., 2021</xref>).</p>
			<p> Microplastics (MPs) in the marine environment are even more pervasive than larger
				plastic waste, reaching, through their ingestion, all levels of the food webs
				(<xref ref-type="bibr" rid="B63">Wright <italic>et al</italic>., 2013</xref>; <xref ref-type="bibr" rid="B27">Ivar do Sul, Costa, 2014</xref>). It is widely
				accepted that MPs correspond to particles &lt; 5mm (<xref ref-type="bibr" rid="B54">Thompson, 2015</xref>; <xref ref-type="bibr" rid="B19">Fu <italic>et
					al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B31">Kavya <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B56">Tirkey, Upadhyay, 2021</xref>;
				<xref ref-type="bibr" rid="B58">Ugwu <italic>et al</italic>., 2021</xref>). Currently, this component, MP, is numerically
				the most abundant kind of plastic in the oceans, found even in the most remote seas
				and high depths (> 1,500 m) areas (<xref ref-type="bibr" rid="B10">Cincinelli <italic>et al</italic>., 2017</xref>; <xref ref-type="bibr" rid="B1">Barrett
					<italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B4">Bos <italic>et al</italic>., 2023)</xref>. The
				quantities, inevitably, tend to increase as large, single items of plastic end up
				degrading into millions of smaller fragments (Law, Thompson, 2014). Factors such as
				sunlight, temperature, ultraviolet radiation, associated to material intrinsic
				characteristics, oxidize the polymers matrix causing its degradation (<xref ref-type="bibr" rid="B37">Mailhot
					<italic>et al</italic>., 2000</xref>; <xref ref-type="bibr" rid="B60">Wagner <italic>et al</italic>., 2014</xref>).</p>
			<p> More recently, another concern is related to contamination of
				synthetic/semi-synthetic fibers, originated from manufacture cardboard, mechanically
				or chemically treated, which is used for packaging a wide variety of commercial
				products. These fibers will completely break down into organic matter within months
				or maybe years. However, they can also be seen as environmental contaminants, due to
				the presence of harmful mineral oils from the printing inks used on cardboard
				(<xref ref-type="bibr" rid="B20">Geueke <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="B12">Coltro <italic>et al</italic>., 2021)</xref>.</p>
			<p> Oceans circulation patterns play an important role in the dispersion of pollutants,
				which can sink rapidly or remain floating for long periods, depending on the polymer
				densities. Floating marine litter is commonly transported by currents and winds
				before accumulating in sheltered shore areas or lose buoyancy and sink <xref ref-type="bibr" rid="B53">(Thiel
					<italic>et al</italic>., 2003)</xref>. In coastal areas the beach profiles and
				morphodynamics influence on the MPs abundance, with dissipative conditions favoring
				higher compared to reflective ones <xref ref-type="bibr" rid="B57">(Tsukada <italic>et al</italic>., 2021)</xref>.</p>
			<p> Due to their ubiquitous distribution, fish are severely affected by plastic
				residuals, whose ingestion is scientifically demonstrated (<xref ref-type="bibr" rid="B8">Carpenter <italic>et
					al</italic>., 1972</xref>; <xref ref-type="bibr" rid="B26">Hoss, Settler, 1990</xref>; <xref ref-type="bibr" rid="B33">Kubota, 1990</xref>; <xref ref-type="bibr" rid="B34">Laist, 1997</xref>; <xref ref-type="bibr" rid="B5">Boerger
						<italic>et al</italic>., 2010</xref>; <xref ref-type="bibr" rid="B50">Silva-Cavalcanti <italic>et al</italic>., 2017</xref>;
				<xref ref-type="bibr" rid="B3">Blettler <italic>et al</italic>., 2019</xref>). Higher frequency of plastic ingestion is
				reported for sharks and rays <xref ref-type="bibr" rid="B34">(Laist, 1997)</xref>, but teleost fishes are also susceptible
				to ingestion of these products (<xref ref-type="bibr" rid="B8">Carpenter <italic>et al</italic>., 1972</xref>; <xref ref-type="bibr" rid="B33">Kubota,
					1990</xref>; <xref ref-type="bibr" rid="B34">Laist, 1997</xref>; <xref ref-type="bibr" rid="B5">Boerger <italic>et al</italic>., 2010</xref>; <xref ref-type="bibr" rid="B3">Blettler <italic>et
					al</italic>., 2019)</xref>.</p>
			<p> Fish mainly ingest plastic fragments that are similar in color size and shape to
				their natural food particles (<xref ref-type="bibr" rid="B8">Carpenter <italic>et al</italic>., 1972</xref>; <xref ref-type="bibr" rid="B5">Boerger
					<italic>et al</italic>., 2010)</xref>. Recent studies highlight the importance of MPs
				measurements in biota and abiotic matrices, in order to identify risk assessments
				and transference routes of these emerging pollutants (and associated adsorbed
				contaminants) (<xref ref-type="bibr" rid="B30">Karlsson <italic>et al</italic>., 2017</xref>; <xref ref-type="bibr" rid="B17">Ferreira <italic>et
					al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B55">Tien <italic>et al</italic>., 2020</xref>). In an extensive study
				carried out in the Mediterranean Sea, <xref ref-type="bibr" rid="B22">Güven <italic>et al</italic>. (2017)</xref> found
				higher contamination rates in fish sampled in area with higher number of plastic
				particles in water and sediment.</p>
			<p> The beach silverside <italic>Atherinella brasiliensis </italic>(Quoy &amp; Gaimard,
				1825), selected for our study, is an abundant small coastal fish, with a maximum
				total length of 160 mm, widely distributed in the Western South Atlantic from
				Venezuela to southern Brazil <xref ref-type="bibr" rid="B18">(Figueiredo, Menezes, 1978)</xref>. It is a generalist
				species, feeding on plant material, small fish, benthic invertebrates, crustaceans
				and some insects <xref ref-type="bibr" rid="B13">(Contente <italic>et al</italic>., 2011)</xref>, being one of the most
				common species in the intertidal zone of sandy beaches of Ubatuba <xref ref-type="bibr" rid="B21">(Gondolo
					<italic>et al</italic>., 2011)</xref>. Due to its varied diet, it is predictable that
				this species is directly affected by synthetic particles occurring in both water
				column and sediment.</p>
			<p> The main objective of this research was to verify the ingestion of MPs by <italic>A.
					brasiliensis</italic> in the beaches of Ubatuba (Southeast Brazil), in summer
				and winter seasons. As a popular touristic destination, the quantities of MPs should
				increase in summer. We also intended to characterize, simultaneously, contamination
				of this emerging pollutant in water and sediment, and possible relations between MPs
				concentration if fish and in the abiotic components. The study was carried out in
				three adjacent beaches in a conspicuous gradient varying from low energy reflective
				to high energy dissipative, hypothesizing that local hydrodynamics influences the
				MPs distribution in the abiotic components, with higher concentrations and larger
				sizes in reflective and the opposite in dissipative.</p>
		</sec>
		
		
		<sec sec-type="materials|methods">
			<title>MATERIAL AND METHODS</title>
			<p><bold>Study area.</bold> The study area is in the city of Ubatuba, northern coastal
				area of State of São Paulo, Southeastern Brazil. The sandy beaches studied herein,
				located in the Ubatuba Bay, were Barra Seca and Perequê-Açú (23º25’04”E/45º02’52”S
				and 23º25’05”W/45º02’55”S, respectively) (<xref ref-type="fig" rid="f1">Fig. 1</xref>). Due to its larger size and
				different local hydrodynamics, Perequê-Açú was divided into two sampling areas:
				Perequê “Brava” (dissipative of high energy) and Perequê “Calma” (moderate
				hydrodynamics). The beach Barra Seca, East-West oriented, is an estuarine beach,
				classified as reflective of low energy with an approximate average slope of 5.1° and
				with a high risk of coastal erosion <xref ref-type="bibr" rid="B51">(Souza, 2012)</xref>. It is characterized by calm
				waters, influenced by a freshwater river discharge, much used by local fishermen,
				moderate frequency of tourists and little urbanization. The Perequê-Açú, an
				urbanized beach, is oriented towards the NE, is classified as low-energy dissipative
				with an average slope of the stretch around 4.5° <xref ref-type="bibr" rid="B51">(Souza, 2012)</xref>, more exposed to the
				action of the tides and with high risk of coastal erosion.</p>
			<p><bold>Sampling methods. </bold>Samplings were performed in the intertidal zones of
				the selected beaches during two fieldworks, one in summer and another in winter, in
				January and July 2021, respectively. The samples were standardized for the full and
				new moon periods, when there is higher tidal amplitude, allowing periods of very low
				tide, when collection of fish was facilitated. Fish were collected with a beach
				seine (9 m long and 1.5 m high, with internode distance of 5 mm). Fishing effort was
				performed as many times as necessary to obtain 20 individuals in each sampling area
				and in each seasonal period. Individuals were euthanized with Eugenol solution and
				fixed with 4% formaldehyde. Voucher specimens of the examined species are deposited
				in the scientific collection of the Laboratório de Ictiologia de Sorocaba, São
				Paulo, Brazil (LISO): LISO 999, LISO 1000, LISO 1001, LISO 1002, LISO 1003, and LISO
				1004.</p>
			<p> In each of the three sampling areas, five superficial (0 – 1 m) water samples were
				collected in equidistantly distributed points for synthetic particles analyses. A
				10L steel bucket was used for filtering a total volume of 100 L, through a 60 µm
				plankton net. Subsequently, the samples were stored in glass vials and fixed with 4%
				formalin. Five superficial sediment samples (0 – 5 cm), obtained at the same points
				with a steel collecting shovel, were also stored in glass vials to avoid
				contamination and immediately refrigerated.</p>
			<fig id="f1">
				<label>FIGURE 1 | </label>
				<caption>
					<title>The three sampling areas: Barra Seca Beach (red line) and Perequê-Açú Beach
						(Brava, orange line, and Calma, green line) in Ubatuba, São Paulo State,
						Brazil. Source: QGIS.</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-22-02-e230092-gf1.jpg"/>
			</fig>
			<p><bold>Environmental variables. </bold>Simultaneously, at each of these five points,
					<italic>in situ</italic> measurements of temperature, pH, electrical
				conductivity, salinity, dissolved oxygen, redox potential, suspended solids and
				turbidity, were obtained with a multiparameter probe, Horiba U52.</p>
			<p><bold>Laboratory fish analyses.</bold> Fish were transferred to 70% ethanol solution
				in the laboratory, measured and weighed. The gastrointestinal contents were removed
				and preserved in 70% ethanol. Purification was performed overnight at room
				temperature (20 to 25Cº), to eliminate organic residues from the synthetic particle
				through a digestion with trypsin proteolytic enzyme (SIGMA-ALDRICH), obtained from
				swine pancreas. The use of the digestive enzyme trypsin is a proved valid method to
				extract MPs from biological samples, reducing considerable amount of biomass (88%)
				with no changes in the synthetic polymers (shape, color, size) <xref ref-type="bibr" rid="B14">(Courtene-Jones
					<italic>et al.</italic>, 2017)</xref>. Posteriorly, the whole sample (solution of the
				digested material) was analyzed, including the fibers measurements, at a DI–724
				stereomicroscope (DIGILAB) and a Zeiss Discovery V20 stereomicroscope attached to a
				digital camera.</p>
			<p> The debris found were classified by size, color and shape (fiber, fragment or
				pellet). The identification followed visual criteria to determine if the particles
				are synthetic: 1, absence of cellular and organic structures; 2, identifiable and
				homogeneous colors; 3, fibers of the same thickness having a three-dimensional
				bending to exclude the biological origin (<xref ref-type="bibr" rid="B40">Norén, 2007</xref>; <xref ref-type="bibr" rid="B25">Hidalgo-Ruz <italic>et
					al</italic>., 2012</xref>). The largest longitudinal dimension was considered to
				determine the particle size. The number of ingested particles was quantified for
				each analyzed animal collected in the distinct sampling areas and seasonal periods.
				Glass vials, covered by aluminum foil, were used for the storage of the fibers found
				in the samples <xref ref-type="bibr" rid="B48">(Sarijan <italic>et al</italic>., 2018)</xref>.</p>
			<p> In order to avoid contamination, clean cotton aprons and surgical procedure gloves
				were used during the laboratory procedures, and the work surfaces and utensils used
				were sterilized, as well as chemical solutions for laboratory (not commercial)
				analyses <xref ref-type="bibr" rid="B50">(Silva-Cavalcanti<italic> et al</italic>., 2017)</xref>. To assess external
				contamination (<italic>i.e</italic>., airborne plastic fibers <italic>sensu</italic>
				<xref ref-type="bibr" rid="B64">Zhang <italic>et al</italic>., 2020</xref>), an open petri dish with ethanol was placed
				adjacent to the microscope. Eventual contamination was subtracted from the
				microscopic counts.</p>
			<p><bold>Laboratory sediment and water analyses.</bold> For water, aliquots from the
				five collection points of each beach were integrated, totaling three final samples
				per period. The trypsin enzyme (SIGMA-ALDRICH) was added to the material to digest
				the organic material and facilitate the identification of the synthetic particles.
				After digestion, these integrated samples were passed through metal sieves, to avoid
				plastic contamination, with 0.125, 0.250, 0.5, and 1.0 mm of mesh size <xref ref-type="bibr" rid="B46">(Rowley
					<italic>et al</italic>., 2020)</xref>, and the retained material separated per
				fractions size was recovered for analysis.</p>
			<p> To account for debris in the sediment, an aliquot of 25 g (dried sediment) of each
				individual sample was separated and integrated with the others of the same area,
				totaling thus three final samples of 125 g. Due to a fungus contamination of the
				trypsin enzyme available in the laboratory, it was necessary to use a different
				procedure to remove the excess of organic matter in the sediment samples.
				Purification was carried out to eliminate organic residues using hydrogen peroxide
				(H2O2) on a heating plate at 60ºC, until digestion of most organic materials.
				Comparative tests with distinct sample purification methods for MPs analyses showed
				that hydrogen peroxide (15 to 35%) is an efficient way for oxidation of organic
				material <xref ref-type="bibr" rid="B49">(Schrank <italic>et al</italic>., 2022)</xref>. Subsequently, the material was
				filtered through a series of stainless sieves (0.125, 0.18, 0.25, 0.5, and 1.0 mm),
				followed by washing the sediment with distilled water to remove residues from the
				solution. After this step, a saturated NaCl solution was added to the remaining
				sediment for flotation of the synthetic debris, stirring for 1 – 2 min and then
				waiting for 3 min (Bettler <italic>et al</italic>., 2019). The NaCL solution is a
				tested method for recovery of PS (polystyrene), PA (polyamide), PP (polypropylene),
				PVA (polyvinyl alcohol) and PE (polyethylene), also easy to manipulate, having low
				chemical hazards and allowing the use FTIR/Raman <xref ref-type="bibr" rid="B38">(Miller <italic>et al</italic>.,
				2017)</xref>. Finally, the material present in the samples’ supernatant was recovered using
				a sterilized metal spoon and stored for synthetic debris analyses.</p>
			<p> The microscopic procedures, and criteria for synthetic particles classification,
				previously described for fish, were also applied for sediment and water samples. For
				sediments, results of synthetic particles contamination were expressed per/50 g, and
				for water, per/m3. The granulometric analyses of the sediment samples were performed
				as described by <xref ref-type="bibr" rid="B23">Hakanson, Jansson (1983)</xref>, after complete drying at 50ºC for
				approximately ten days. A mechanical agitator was used to separate the grains, with
				sieves of sizes 53 μm (silt and clay), 125 μm (fine sand), 250 μm (medium sand), 0.5
				mm (coarse sand) and 1.0 mm (very coarse sand), according to the <xref ref-type="bibr" rid="B61">Wentworth (1922)</xref>
				scale. After separation, the material retained on each sieve was weighed and the
				percentage of each fraction was determined. For this analysis, only samples
				collected during summer were used.</p>
			<p><bold>Chemical identification of the polymers.</bold> A random sample of 65 polymers,
				retained from the analyses of the distinct compartments (water, sediment and fish
				contents), was considered for individual chemical identification using μ-FTIR
				(Fourier Transformed Infrared) spectroscopy (<xref ref-type="bibr" rid="B10">Cincinelli <italic>et al</italic>.,
					2017</xref>; <xref ref-type="bibr" rid="B29">Jung <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="B44">Primpke <italic>et al</italic>., 2018</xref>;
				<xref ref-type="bibr" rid="B56">Tirkey, Upadhyay, 2021</xref>). The analyses were performed using a Vertex 70/Bruker
				spectrometer, wavelength from 4000 to 400 cm-1, 4 cm-1 resolution, and 65 scans. The
				open access reference database Open Specy was used for the matches
				(https://openanalysis.org/openspecy/) <xref ref-type="bibr" rid="B15">(Cowger <italic>et al</italic>., 2021)</xref>.</p>
			<p><bold>Data analysis.</bold> To verify possible relationship of fish biometry and
				ingestion of SPs we performed correlation analyses (Pearson; p &lt; 0.05) (Sigma
				Plot 14) and linear regression model (PAST) <xref ref-type="bibr" rid="B24">(Hammer <italic>et al</italic>., 2001)</xref>
				considering: data of fish weight and length <italic>versus</italic> number and size
				of ingested particles (Fig. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s1.pdf">S1</inline-supplementary-material></bold>). Fish biometric characteristics were
				tested for statistical differences ANOVA (R Cran Project Software) considering both,
				seasons and beaches. For each season (summer and winter), the chi-squared test was
				applied for verification of associations between MPs quantities in water, sediment
				and fish. Significance of differences were determined using the Monte Carlo post hoc
				test (PAST) <xref ref-type="bibr" rid="B24">(Hammer <italic>et al</italic>., 2001)</xref>. The average values (and the
				standard deviation) were calculated for the environmental variables considering the
				five distinct points per area in each seasonal period. For a proper characterization
				of the beach’s particularities, an ANOVA (Sigma Plot 14) was performed to verify
				significant statistical differences (p &lt; 0.05), for each measured environmental
				variable (mean and standard deviation values), per area/period. A principal
				component analysis (PCA) (Pearson correlation) (Sigma Plot 14), using <italic>in
					situ</italic> measurements obtained with the water probe, was performed for
				ordination of the distinct sampling areas. Except for pH, data were previously log10
				+1 transformed.</p>
		</sec>
		
		
		<sec sec-type="results">
			<title>RESULTS</title>
			<p><bold>Synthetic debris in fish.</bold> Considering the whole dataset, 46 of the 120
				individuals exhibited synthetic polymers in their gastrointestinal tract,
				corresponding to a contamination of 38.3%. In summer, except for one fragment, the
				synthetic particles were fibers. The blue color predominated, followed by
				transparent (<xref ref-type="fig" rid="f2">Fig. 2</xref>). Size ranged from 0.41 to 5.68 mm (<xref ref-type="fig" rid="f3">Fig. 3</xref>). All ingested
				particles in winter were fibers, predominately blue, followed by transparent (<xref ref-type="fig" rid="f2">Fig.
					2</xref>). Particles sizes ranged between 0.67 and 8.43 mm (<xref ref-type="fig" rid="f3">Fig. 3</xref>). Contamination was
				higher, in fish from the estuarine Barra Seca beach compared to the others sites,
				and did not change seasonally, 45% of the individuals in summer and winter as well.
				In the exposed beaches the proportion of contaminated fish was twice higher in
				winter (45% in Perequê Brava and 50% in Perequê Calma) compared to summer (25% in
				both beaches).</p>
			<fig id="f2">
				<label>FIGURE 2 | </label>
				<caption>
					<title>Representation of colors percentage of the synthetic particles in the
						gastrointestinal tract of <italic>Atherinella brasiliensis</italic>, from
						sandy beaches of Ubatuba, Brazil (summer, January/2021, and winter,
						July/2021).</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-22-02-e230092-gf2.jpg"/>
			</fig>
			<fig id="f3">
				<label>FIGURE 3 | </label>
				<caption>
					<title>Mean values and standard deviation of the synthetic particles in the
						gastrointestinal tract of <italic>Atherinella brasiliensis</italic>, from
						sandy beaches of Ubatuba, Brazil (summer, January/2021, and winter,
						July/2021).</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-22-02-e230092-gf3.jpg"/>
			</fig>
			<p> Fish weight and size were lower in summer, with means of 2.7 g and 60.7 mm,
				respectively, compared to the winter, with means of 4.8 g and 71.2 mm, respectively.
				Differences were significant among seasons for size (F1,44 = 4.677, p = 0.036)
				(Tabs. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s2.pdf">S2</inline-supplementary-material></bold>, <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s3.pdf">S3</inline-supplementary-material></bold>). The mean size of the ingested synthetic
				particles was similar between seasons: 2.5 mm in summer and 2.7 mm in winter,
				considering all analyzed fish. Fish from Barra Seca in summer and Perequê Brava in
				winter exhibited higher means, 3.1 mm; while lower means were observed for Perequê
				Calma in summer, 1.06 mm, and Barra Seca in winter, 2.12 mm (<xref ref-type="fig" rid="f3">Fig. 3</xref>). In terms of
				the correlation and linear regression analyses results for fish biometry (weight and
				length <italic>versus</italic> MPs number and size, only the one between fish
				size-polymers size was positively significant (R2 = 0.09, F1,44 = 4.37, p = 0.042)
				(Fig. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s1.pdf">S1</inline-supplementary-material></bold>).</p>
			<p><bold>Synthetic debris in water.</bold> The amount of synthetic debris considerably
				differed among beaches (<xref ref-type="fig" rid="f4">Fig. 4A</xref>; Tab. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s4.pdf">S4</inline-supplementary-material></bold>). The maximum value occurred
				in Barra Seca, 490 particles/m3 in the summer; and the minimum value occurred in
				Perequê Brava, 300 particles/m3, also in summer. Perequê Calma exhibited
				intermediate values. In terms of particle size, larger dimensions (between 0.5 and
				1.0 mm) predominated in Barra Seca; there was a higher variation in Perequê Brava
				and lower variation in Perequê Calma. Fibers widely predominated among the synthetic
				particles in the water samples. Fragments were only present in Perequê Calma in
				small percentages (8 to 9%). Pellets were not observed. In terms of color,
				transparent synthetic particles prevailed, followed by blue. Red and black also
				occurred, mainly in the summer.</p>
			<p><bold>Synthetic debris in the sediment. </bold>Quantities of synthetic debris in the
				sediment samples varied between 27 particles/50g (Barra Seca, summer) and 62
				particles/50g (Perequê Brava, winter) and were more homogeneous in winter compared
				to summer (<xref ref-type="fig" rid="f4">Fig. 4B</xref>; Tab. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s5.pdf">S5</inline-supplementary-material></bold>). In Barra Seca and Perequê Brava beaches,
				amounts of MPs were considerable higher in winter. In Perequê Calma seasonal
				variation was not evident. Concerning the different sizes, there was no tendency of
				spatial or temporal variation. As in the water column, most synthetic particles
				forms were fibers, followed by fragments and no pellets were found. In general,
				there was the predominance of the transparent color, followed by blue, and a lower
				frequency of red, black, and green. </p>
			<p><bold>Associations between MPs quantities in water, sediment and fish.</bold> The Chi
				squared test allowed for the correlation between water, sediment and fish, for both
				stations (summer and winter) as well for the sites (Barra Seca, Perequê Calma,
				Perequê Brava) (<xref ref-type="table" rid="t1">Tab. 1</xref>). For summer, there was significant (p &lt; 0.002)
				associations between synthetic particles in water and fishes in Barra Seca, and
				higher proportions of synthetic particles concentrations in the sediment of Perequê
				Calma beach (<xref ref-type="table" rid="t1">Tab. 1</xref>). There was no significant associations in the winter.</p>
			<p><bold>Chemical identification of the polymers.</bold> Considering the 65 polymers
				that were analyzed for chemical identification, 59 (90.8%) resulted as synthetic
				polymers, mostly plastic but there was also a considerable proportion of
				cardboard/cellulose fibers (9% of the identified synthetic polymers). Polypropylene
				(PP) and polyethylene terephthalate (PET) predominated, corresponding to 50% and 28%
				of the MPs, respectively, followed by polyamide (11%) and polyester (11%). Some
				selected absorbance spectra are presented in the Figs. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s6.pdf">S6</inline-supplementary-material></bold>,
				<bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s7.pdf">S7</inline-supplementary-material></bold>, <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s8.pdf">S8</inline-supplementary-material></bold>, <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s9.pdf">S9</inline-supplementary-material></bold>, <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s10.pdf">S10</inline-supplementary-material></bold>,
				<bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s11.pdf">S11</inline-supplementary-material></bold>, <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s12.pdf">S12</inline-supplementary-material></bold>, <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s13.pdf">S13</inline-supplementary-material></bold>. It is important to mention
				that the analyses were inconclusive for part of the results, with low correlation
				values (r &lt; 0.6) between the obtained and the reference spectra for 28% of the
				analyzed particles. This fact may be associated to the growth of algae and fungi
				around the fibers as samples have been stored for several months until the chemical
				analyses.</p>
			<fig id="f4">
				<label>FIGURE 4 | </label>
				<caption>
					<title>Box Plot representation (median and standard deviation) of synthetic
						particles quantities in the water (<bold>A</bold>) and sediment
						(<bold>B</bold>) samples from sandy beaches of Ubatuba, Brazil (summer,
						January/2021, and winter, July/2021).</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-22-02-e230092-gf4.jpg"/>
			</fig>
			<table-wrap id="t1">
				<label>TABLE 1 | </label>
				<caption>
					<title>Association of synthetic polymers concentration among biotic and abiotic
						components using the chi-squared test. In bold significant results (Monte
						Carlo <italic>post hoc</italic> significance test) (p &lt; 0.002).</title>
				</caption>
				<table>
					<tbody>
						<tr>
							<td rowspan="1" colspan="1" align="center">Site</td>
							<td rowspan="1" colspan="1" align="center">Sediment</td>
							<td rowspan="1" colspan="1" align="center">Water</td>
							<td rowspan="1" colspan="1" align="center">Fish</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="4" align="center">Summer</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Barra Seca</td>
							<td rowspan="1" colspan="1" align="center">0.23</td>
							<td rowspan="1" colspan="1" align="center"><bold>0.43</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>0.47</bold></td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Perequê Brava</td>
							<td rowspan="1" colspan="1" align="center">0.29</td>
							<td rowspan="1" colspan="1" align="center">0.27</td>
							<td rowspan="1" colspan="1" align="center">0.26</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Perequê Calma</td>
							<td rowspan="1" colspan="1" align="center"><bold>0.48</bold></td>
							<td rowspan="1" colspan="1" align="center">0.30</td>
							<td rowspan="1" colspan="1" align="center">0.26</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="4" align="center">Winter</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Barra Seca</td>
							<td rowspan="1" colspan="1" align="center">0.34</td>
							<td rowspan="1" colspan="1" align="center">0.38</td>
							<td rowspan="1" colspan="1" align="center">0.33</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Perequê Brava</td>
							<td rowspan="1" colspan="1" align="center">0.37</td>
							<td rowspan="1" colspan="1" align="center">0.29</td>
							<td rowspan="1" colspan="1" align="center">0.30</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Perequê Calma</td>
							<td rowspan="1" colspan="1" align="center">0.29</td>
							<td rowspan="1" colspan="1" align="center">0.33</td>
							<td rowspan="1" colspan="1" align="center">0.37</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<p><bold>Environmental variables.</bold> The granulometric analysis showed a high
				percentage (> 99%) of sand for the three beaches. Percentage of finer particles are
				higher in Perequê Calma, followed by Barra Seca and Perequê Brava (<xref ref-type="table" rid="t2">Tab. 2</xref>).</p>
			<table-wrap id="t2">
				<label>TABLE 2 | </label>
				<caption>
					<title>Granulometric characteristics of the sediment from beaches of Ubatuba,
						Brazil.</title>
				</caption>
				<table>
					<tbody>
						<tr>
							<td rowspan="1" colspan="1" align="center"><bold>Site</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>Texture
									classification</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>Grain size
								(mm)</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>% Sand</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>% Silt+Clay</bold></td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Barra Seca</td>
							<td rowspan="1" colspan="1" align="center">Medium sand</td>
							<td rowspan="1" colspan="1" align="center">2.32</td>
							<td rowspan="1" colspan="1" align="center">99.43</td>
							<td rowspan="1" colspan="1" align="center">0.56</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Perequê Calma</td>
							<td rowspan="1" colspan="1" align="center">Fine sand</td>
							<td rowspan="1" colspan="1" align="center">1.79</td>
							<td rowspan="1" colspan="1" align="center">99.52</td>
							<td rowspan="1" colspan="1" align="center">0.48</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Perequê Brava</td>
							<td rowspan="1" colspan="1" align="center">Medium sand</td>
							<td rowspan="1" colspan="1" align="center">2.90</td>
							<td rowspan="1" colspan="1" align="center">99.85</td>
							<td rowspan="1" colspan="1" align="center">0.14</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<fig id="f5">
				<label>FIGURE 5 | </label>
				<caption>
					<title>Graphic representation of the Principal Component Analysis (PC1 and PC2)
						based on environmental variables measured in sandy beaches of Ubatuba,
						Brazil. Red circles = summer (S); Green circles = winter (W); BS = Barra
						Seca; PC = Perequê Calma; PB = Perequê Brava.</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-22-02-e230092-gf5.jpg"/>
			</fig>
			<p> Seven out of nine variables from the water column showed significant statistical
				difference between the study areas, for both seasonal periods (Tab.
				<bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s14.pdf">S14</inline-supplementary-material></bold>). The only exceptions were the oxygen and the turbidity, for both
				periods. Higher differences were observed between Perequê Brava and the other two
				areas, Perequê Calma and Barra Seca (Tab. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s14.pdf">S14</inline-supplementary-material></bold>). The variance explained
				by the PCA analysis (<xref ref-type="fig" rid="f5">Fig. 5</xref>; Tab. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application" xlink:href="1982-0224-ni-22-02-e230092-s15.pdf">S15</inline-supplementary-material></bold>) was high, 85.01% (PC1 62.45%,
				PC2 22.56%), considering the first two components. For both seasonal periods, but
				especially in summer, the estuarine beach Barra Seca exhibited a more differentiated
				positioning (higher temperature) compared to the other more exposed sites (Perequê
				Calma and Perequê Brava) (higher turbidity, salinity/conductivity, redox and
				oxygen).</p>
		</sec>
		
		
		<sec sec-type="discussion">
			<title>DISCUSSION</title>
			<p>The study evidenced the environmental contamination with synthetic polymers, mostly
				microplastics, in the sandy beaches of Ubatuba region, SE Brazil. Ingestion of
				synthetic polymers by <italic>Atherinella brasiliensis</italic> was verified in all
				sampling sites. The degree of fish contamination by these synthetic polymers reached
				38% of the analyzed individuals. This high contamination may be associated with the
				fact that <italic>A. brasiliensis</italic> is a generalist species, feeding on
				insects, plant material, crustaceans and other fishes, exhibiting an opportunistic
				behavior according to the availability of food items (<xref ref-type="bibr" rid="B13">Contente <italic>et
					al</italic>., 2011</xref>; <xref ref-type="bibr" rid="B9">Chagas, Costa Junior, 2013)</xref>.</p>
			<p> A statistical positive correlation between the quantities of SPs in fish and in
				water was seen for the sheltered (estuarine) beach Barra Seca during summer. In this
				site, where SPs reached maximum concentrations, approximately half of the
				individuals collected in both seasons were contaminated. Probably, the
				differentiated local hydrodynamics – a reflective low energy beach, with more
				homogenous waters mass, favor the continuous permanence of these emergent
				contaminants in the water column.</p>
			<p> The consumption of synthetic particles by <italic>A. brasiliensis</italic>
				reinforces the hypothesis that the artificial debris suspended in the water column
				are ingested together with natural food items (<xref ref-type="bibr" rid="B26">Hoss, Settler, 1990</xref>; <xref ref-type="bibr" rid="B6">Browne
					<italic>et al</italic>., 2010)</xref>. Synthetic polymers may resemble the alimentary
				items of the fish species, by either shape, size, or color, influencing their
				accidental ingestion (<xref ref-type="bibr" rid="B8">Carpenter <italic>et al</italic>., 1972</xref>; <xref ref-type="bibr" rid="B5">Boerger <italic>et
					al</italic>., 2010)</xref>.</p>
			<p> We also found a statistical positive correlation between fish length and size of the
				ingested particles, what can be considered as an evolutionary trap. In this case,
				the selection of larger “food” items may result in a maladaptive feeding behavior
				taking to the ingestion of low-quality food items <xref ref-type="bibr" rid="B47">(Santos <italic>et al</italic>.,
				2020)</xref>.</p>
			<p> The present study corroborates the general pattern of synthetic debris consumption
				by aquatic fauna, predominantly transparent and blue particles (<xref ref-type="bibr" rid="B52">Tanaka, Takada,
				2016</xref>; <xref ref-type="bibr" rid="B22">Güven <italic>et al</italic>., 2017</xref>; <xref ref-type="bibr" rid="B32">Kor, Mehdinia, 2020</xref>). In our case,
				colored synthetic particles seem to be important, as most ingested ones were blue,
				despite the predominance of transparent fibers in the water and sediment samples.
				This probably occur due to the fish visual orientation during feeding process,
				showing a higher consumption of items that are more easily discriminated.</p>
			<p> In terms of synthetic polymers forms, fibers widely prevailed in the analyzed
				gastrointestinal tracts (98.1%), as already seen by other authors (<xref ref-type="bibr" rid="B22">Güven <italic>et
					al</italic>., 2017</xref>; <xref ref-type="bibr" rid="B42">Pennino <italic>et al</italic>., 2020</xref>). This form of
				synthetic polymer, which also prevailed in the water and sediment samples, is
				common, especially in the water column, due to its lower density compared to
				seawater <xref ref-type="bibr" rid="B16">(Erni-Cassola <italic>et al</italic>., 2019)</xref>.</p>
			<p> The amount of synthetic debris found in the water was similar between the two
				periods of the year in the most exposed beach (Perequê Brava), and higher in the
				intermediate beach (Perequê Calma) during winter. The initial hypothesis was that
				there would be less contamination in the winter, when the tourism is less intense
				and also due to the fact that the water column becomes more homogeneous with the
				entrance of coastal waters (Castro Filho <italic>et al</italic>., 1987; Pires-Vanin
					<italic>et al</italic>., 1993). However, the Covid-19 pandemic restrictions
				drastically reduced tourism in summer. In case of Barra Seca (reflective beach), the
				reduction of contamination in winter may be also associated to the seasonal decrease
				of rains in this season, reducing the litter washout from the adjacent watershed,
				since rivers are important pathways for introduction of plastic into the oceans
				<xref ref-type="bibr" rid="B47">(Santos <italic>et al</italic>., 2020)</xref>.</p>
			<p> There was an approximately two-fold increase in the deposition of synthetic polymers
				in the sediments during winter, compared to summer, in Barra Seca and Perequê Brava.
				Higher homogeneity of the coastal waters in the winter period could prevents the
				displacement of bottom synthetic particles. Additionally, higher deposition in
				Perequê Brava, during the winter, can also be related to the presence of a rocky
				shore. This geological structure acts as a physical protection of the shoreline and
				minimizes the transport of particles outside the bay (<italic>e.g.</italic>,
				<xref ref-type="bibr" rid="B43">Pinheiro <italic>et al</italic>., 2019</xref>). Perequê Calma beach, with moderate
				hydrodynamics, showed lower seasonal variability of SPs in the sediment and
				statistical higher value compared to the other sites in summer. As previously
				mentioned for water data, the restricted hydrodynamics favors the deposition and
				permanence of microplastics <xref ref-type="bibr" rid="B57">(Tsukada <italic>et al</italic>., 2021)</xref>. Higher
				deposition of synthetic polymers tends to occur in low energy beaches with fine
				sediments, decreasing exponentially with the increase of the grain size (<xref ref-type="bibr" rid="B59">Vermeiren
					<italic>et al</italic>., 2021</xref>; <xref ref-type="bibr" rid="B62">Wilson <italic>et al</italic>., 2021</xref>). There was
				no statistical association between SPs in sediments and fish ingestion.</p>
			<p> Despite the beaches proximity, analyses using water data (PCA, ANOVA) showed
				significant differences. Distinctiveness among the studied environments was also
				evidenced through comparisons of the sediment granulometric characteristics.
				Therefore, small fish, such as the one selected in the study, are exposed to
				distinct physical and chemical local conditions and, probably, to distinct feeding
				resources as well. Despite data are limited to only two samplings, variability in
				weigh and length indicate possible population structuration – more juveniles
				(smaller individuals) during summer (statistically significant) and also more
				associated to the estuary. Despite the smaller sizes of fish in Barra Seca, spatial
				differences were not statistically significant.</p>
			<p> Considering the polymers analyzed through μ-FTIR spectroscopy, we can assume that
				there was a good correspondence between the visual identification and the proportion
				that resulted as synthetic polymers (90.8%). Among the MPs (91% of the proved
				synthetic polymers), there was the predominance of polypropylene (PP) (50%) and
				polyethylene terephthalate (PET) (28%), followed by polyamide (11%) and polyester
				(11%). The fact that part (9%) of the analyzed polymers correspond to semi-synthetic
				cardboard cannot be neglected, but is also important to consider that identification
				through μ-FTIR has limitations, especially for semi-synthetic fibers <xref ref-type="bibr" rid="B56">(Tirkey,
				Upadhyay, 2021)</xref>.</p>
			<p> The synthetic debris contamination in Ubatuba beaches sediments was mostly
				represented by fibers (99.3%). The use of meshes ≤ 1 mm may have resulted in the
				exclusion of particles between 1 to 5 mm, and therefore, of “fragment” plastics
				common in sediments (<xref ref-type="bibr" rid="B57">Tsukada <italic>et al</italic>., 2021</xref>; <xref ref-type="bibr" rid="B62">Wilson <italic>et
					al</italic>., 2021</xref>). Further analyses, including larger fractions, between 1 to
				5 mm, are necessary to verify whether MPs of the fragment type also occur, since
				they were not detected with the methodology applied in the present study.</p>
			<p> Our work brought relevant data on the ingestion of synthetic polymers, mostly MPs,
				by the silverside <italic>Atherinella brasiliensis</italic>, as well as evidenced
				the contamination in the water column and superficial sediments. There was a
				positive correspondence (summer season) between SPs in water and fish and between
				fish size and SPs size. The hypothesis of higher SPs accumulation in summer was not
				proved. The hypothesis related to the hydrodynamics was partially demonstrated, with
				higher particles sizes and higher concentrations (summer season) in the reflective
				low-energy beach only for the water component.</p>
			<p> The environmental contamination by plastic polymers in the region of Ubatuba,
				including the aquatic fauna, is a fact, requiring an intervention of the local
				authorities to reduce this kind of pervasive pollution. We expect that the results
				contribute to increase awareness about plastic contamination and help in the
				development of actions for the prevention and conservation of the coastal aquatic
				environments. The results can also be used as a basis for future studies in the area
					(<italic>e.g.</italic>, other fish species and invertebrate’s contamination and
				food web transferences).</p>	
		</sec>
	</body>
	
	
	<back>
		<ack>
			<title>ACKNOWLEDGEMENTS</title>
			<p>This research was conducted under the Programa Institucional de Bolsas de Iniciação
				Científica (PIBIC ProPq 001/2020), Conselho Nacional de Desenvolvimento Científico e
				Tecnológico (CNPq 162464/2020–7). This project also used infrastructure provided by
				Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP 2017/01970–4). The
				authors are grateful to Adriana Jorcin, for assistance in the sediment analyses; to
				Gabriel Mariano Silva, for his help with the reference data base site for MPs
				identification and to the technicians of the Chemistry Institute of UNESP, Campus
				Araraquara, for support in the µFTIR analyses. Walter Ruggeri Waldman (DFQM/UFSCar)
				provided valuable inputs to earlier version of this manuscript.</p>
		</ack>
		
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		<fn-group>
			<title>ADDITIONAL NOTES</title>
			<fn fn-type="other" id="fn5">
				<label>HOW TO CITE THIS ARTICLE</label>
				<p><bold>Nogueira EJ, Fernandes E, Nogueira MG, Cetra M, Mattox
					GMT.</bold>Microplastics contamination in fish, water, and sediment surrounding
					Ubatuba beaches, Southeastern Brazil. Neotrop Ichthyol. 2024; 22(2):e230092.
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