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<article article-type="research-article" dtd-version="1.0" specific-use="sps-1.8" xml:lang="es" 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.53562</article-id>
			<article-id pub-id-type="publisher-id">00015</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Artículos</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>CONCENTRACIONES DE ELEMENTOS TRAZA EN ALGUNOS ACEITES COMESTIBLES DE
					RIAD</article-title>
				<trans-title-group xml:lang="en">
					<trans-title>CONCENTRATION OF TRACE METALS IN SOME MAJOR EDIBLE OILS OF
						RIYADH</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<name>
						<surname>Alrajhi</surname>
						<given-names>Ibrahim Mohammed</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Idriss</surname>
						<given-names>Hajo</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
					<xref ref-type="corresp" rid="c1">*</xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1 </label>
				<institution content-type="original">Prince Sultan Military Medical City, Po. Box
					7897 Riyadh 11159, Kingdom of Saudi Arabia.</institution>
					<institution content-type="normalized">Prince Sultan Military Medical
					City</institution>
				<institution content-type="orgname">Prince Sultan Military Medical
					City</institution>
				<addr-line>
					<named-content content-type="city">Riyadh</named-content>
				</addr-line>
				<country country="SA">Saudi Arabia</country>
			</aff>
			<aff id="aff2">
				<label>2 </label>
				<institution content-type="original">Deanship of Scientific Research, Imam Mohammad
					Ibn Saud Islamic University, Riyadh, Saudi Arabia</institution>
					<institution content-type="normalized">Imam Mohammad
					Ibn Saud Islamic University</institution>
				<institution content-type="orgname">Imam Mohammad
					Ibn Saud Islamic University</institution>
				<addr-line>
					<named-content content-type="city">Riyadh</named-content>
				</addr-line>
				<country country="SA">Saudi Arabia</country>
			</aff>
			<aff id="aff3">
				<label>3 </label>
				<institution content-type="original">Sudan Atomic Energy Commission.</institution>
				<institution content-type="normalized">Sudan Atomic Energy Commission</institution>
				<institution content-type="orgname">Sudan Atomic Energy Commission</institution>
				<country country="SD">Sudan</country>
				<email>hjoidriss@gmail.com</email>
			</aff>
			<author-notes>
				<corresp id="c1">
					<label>*</label> Corresponding author: <email>hjoidriss@gmail.com</email>
				</corresp>
			</author-notes>
			<!--<pub-date date-type="pub" publication-format="electronic">
				<day>13</day>
				<month>09</month>
				<year>2021</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">-->
				<pub-date pub-type="epub-ppub">
				<month>11</month>
				<year>2020</year>
			</pub-date>
			<volume>36</volume>
			<issue>4</issue>
			<fpage>977</fpage>
			<lpage>984</lpage>
			<history>
				<date date-type="received">
					<day>01</day>
					<month>03</month>
					<year>2019</year>
				</date>
				<date date-type="accepted">
					<day>01</day>
					<month>03</month>
					<year>2020</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access"
					xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/" xml:lang="es">
					<license-p>Este es un artículo publicado en acceso abierto bajo una licencia
						Creative Commons</license-p>
				</license>
			</permissions>
			<abstract>
				<title>RESUMEN</title>
				<p>Los elementos químicos desempeñan un papel importante en varios procesos
					metabólicos en el cuerpo humano. Además, algunos de estos elementos son tóxicos
					si se consumen en cantidades excesivas. En esta investigación se estudió un
					total de 11 elementos (Mn, Fe, Cu, Cr, Zn, Ni, Al, Pb, As, Se y Al) en muestras
					de aceite vegetal comestible mediante el uso de un espectrómetro de emisión
					óptica de plasma acoplado inductivamente. Se encontró que la concentración de
					los metales estaba en un nivel de traza inferior al límite de concentración
					máximo establecido por la Organización Mundial de la Salud, así como de la
					ingesta diaria recomendada de esos metales. Los coeficientes de correlación de
					Pearson mostraron una fuerte correlación entre Cr y Fe (0.998), Cr y Mn (0.994),
					Cr y Ni (0.985), Fe y Mn (0.994), Fe y Ni (0.985), Mn y Ni (0.978) y As y Se
					(0.997). Se puede concluir que las muestras de aceite vegetal comestible estaban
					libres de contaminación por elementos químicos.</p>
			</abstract>
			<trans-abstract xml:lang="en">
				<title>ABSTRACT</title>
				<p>Chemical elements play major roles in various metabolic processes in the human
					body. Moreover, some of these elements are toxic if consumed in excessive
					quantities. In this study, a total of 11 elements (Mn<sup>+2</sup>,
						Fe<sup>+2</sup>, Cu<sup>+2</sup>, Cr<sup>+3</sup>, Zn<sup>+2</sup>,
						Ni<sup>+2</sup>, Se, Pb<sup>+2</sup>, As<sup>+3</sup>, and Al<sup>+3</sup>)
					were studied in edible vegetable oil samples by using an inductively coupled
					plasma-optical emission spectrometer. The concentration of the metals was found
					to be in trace level lower than the maximum allowable concentration limit set by
					the World Health Organization as well as the recommended daily intake of metals.
					Pearson correlation coefficients showed strong correlations between Cr and Fe
					(0.998), Cr and Mn (0.994), Cr and Ni (0.985), Fe and Mn (0.994), Fe and Ni
					(0.985), Mn and Ni (0.978), and As and Se (0.997). It can be concluded that the
					edible vegetable oil samples were free of any chemical element
					contamination.</p>
			</trans-abstract>
			<kwd-group xml:lang="en">
				<title>Key words:</title>
				<kwd>vegetable edible oil</kwd>
				<kwd>heavy metals</kwd>
				<kwd>essential elements</kwd>
				<kwd>ICP-OES</kwd>
				<kwd>KSA</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<title>Palabras clave:</title>
				<kwd>aceite vegetal comestible</kwd>
				<kwd>metales pesados</kwd>
				<kwd>elementos esenciales</kwd>
				<kwd>ICP-OES</kwd>
				<kwd>RAS</kwd>
			</kwd-group>
			<counts>
				<fig-count count="2"/>
				<table-count count="2"/>
				<equation-count count="0"/>
				<ref-count count="32"/>
				<page-count count="8"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>INTRODUCTION</title>
			<p>Edible oils are extremely important food for all people around the world. They are
				extracted from plants (e.g., soybean, canola, and chili); seeds (e.g., corn, sesame
				and sunflower); nuts (e.g., walnut and macadamia); and fruits (e.g., watermelon
				palm, olive, and coconut). Relying on oil sort, they are widely used in cooking
				(bread preparation and frying food) and for non-cooking products such as salad,
				pastry, and appetizers. In addition, edible oils are used to produce nonfood
				products such as cosmetics, pharmaceutical, and as biofuels.</p>
			<p>The human body utilizes oils and fats in the diet for important purposes, as energy
				and vitamins suppliers, and also as essential elements in metabolic reactions in the
				human body (<xref ref-type="bibr" rid="B9">Dugo et al. 2004</xref>). Human beings,
				plants and animals rely on major metals such as Ca, Mg, Fe, Cu, Zn and Mn for growth
				and development, though some metals are benefic and others can be toxic, even in low
				quantity, and thus pose health risks to humans and animals (<xref ref-type="bibr"
					rid="B23">Sanches-Filho et al. 2017</xref>). While the effect of chronic
				exposure to small amounts of some metals seems to be well understood, several
				incidents show the seriousness of high levels of exposure to some noxious metals,
				particularly Cd, Cr<sup>+3</sup>, and Pb (<xref ref-type="bibr" rid="B11">Garrido et
					al. 1994</xref>, <xref ref-type="bibr" rid="B5">Buldini et al. 1997</xref>,
					<xref ref-type="bibr" rid="B22">Rajeshkumar et al. 2017</xref>). The quality of
				edible oils is directly linked to the concentration of many trace metals.
				Concentrations of Fe, Cu, Co, Ni and Mn are known to increase the rate of oil
				oxidation, while elements like As, Cr, Cd, and Pb are significant on account of
				their toxicity and metabolic role (<xref ref-type="bibr" rid="B19">Manjusha, et al.
					2019</xref>).</p>
			<p>The presence of metals in vegetable edible oils relies on many factors. They may come
				from the soil, environment, and genetic structure of the plant, as well as
				fertilizers and pesticides introduced during the production process or by
				contamination from the metal processing equipment or shipping containers (<xref
					ref-type="bibr" rid="B6">Cindiric et al. 2007</xref>, <xref ref-type="bibr"
					rid="B13">Jamali et al. 2008</xref>). If toxic metals are consumed the risk of a
				particular population may increase, so it is essential to determine the
				concentration of these metals (<xref ref-type="bibr" rid="B26">Sobhan 2016</xref>).
				Many studies have been recently carried out on the determination of heavy metals in
				edible oils all over the world (<xref ref-type="bibr" rid="B6">Cindiric et al.
					2007</xref>, <xref ref-type="bibr" rid="B20">Mendil et al. 2009</xref>, <xref
					ref-type="bibr" rid="B3">Bakkali et al. 2012</xref>, <xref ref-type="bibr"
					rid="B24">Savio et al. 2014</xref>, <xref ref-type="bibr" rid="B4">Barreto et
					al. 2018</xref>, <xref ref-type="bibr" rid="B19">Manjusha et al. 2019</xref>,
					<xref ref-type="bibr" rid="B14">Karasakal 2020</xref>). Food contamination by
				heavy metals has become a reality and constitute a challenge for many countries
					(<xref ref-type="bibr" rid="B15">Karimi et al. 2015</xref>). The purpose of this
				work is to determine the concentrations of essential and potentially toxic metals in
				edible vegetable oils sold in Riyadh markets.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>MATERIALS AND METHODS</title>
			<sec>
				<title>Study area</title>
				<p>The study area was Riyadh, one of the biggest cities and capital of the Kingdom
					of Saudi Arabia, with an area of about 1554 km² and an estimated population of 7
					231 447. It is located centrally in the Najd region and lies between latitude
					34º-38º N and longitude 43º- 46º E, as shown in <xref ref-type="fig" rid="f1"
						>figure 1</xref>.</p>
				<p>
					<fig id="f1">
						<label>Fig. 1</label>
						<caption>
							<title>Map of Saudi Arabia showing Riyadh city.</title>
						</caption>
						<graphic xlink:href="0188-4999-rica-36-04-977-gf1.png"/>
					</fig>
				</p>
			</sec>
			<sec>
				<title>Sample preparation</title>
				<p>A total of 54 edible vegetable oil samples (soybean, palm and olive) were
					collected from the supermarkets around the city of Riyadh and transported to the
					environmental research laboratory at Imam Mahammad Ibn Saud University for
					elemental analysis. Ten milliliters of high purity HNO<sub>3</sub> 65 % and 2 ml
					of H<sub>2</sub>O<sub>2</sub> 30 % were added to the beaker containing 2 g of
					dry samples and were placed in the fume cupboard for two days for digestion. The
					mixture was then digested at 80 ºC till a transparent solution was achieved.
					After cooling, the digested samples were filtered using Buchner funnels and the
					filtrate was diluted to 45 mL with distilled water. Then the samples were
					analyzed using inductively coupled plasma atomic emission spectroscopy
					(ICP-AES). The analyzed elements were Cd, Cr, Cu, Fe, Mn, Ni, Pb, Zn, As, Se and
					Al (<xref ref-type="bibr" rid="B1">al-Rajhi 2014</xref>).</p>
			</sec>
			<sec>
				<title>Spectrometric analysis</title>
				<p>The measurements were performed using a Genesis ICP optical emission spectrometer
					(Spectro Analytical Instruments, Kleve, Germany) with axial plasma observation.
					The instrument includes a Paschen-Runge mount spectrometer, constructed
					employing the optimized Rowland Circle Alignment (ORCA) technique. It consists
					of two hollow section cast shells, designed for direct thermal stabilization and
					small volume. Fifteen pre-aligned linear coupled-charge devices (CCDs) were
					installed outside the optics body, which allows fast, simultaneous spectrum
					capture of the wavelength range between 175 and 777 nm. For UV access &lt; 200
					nm, the optical system was purged with argon at a rate of 0.5 L/min during
					normal operation. Intelligent calibration logic (ICAL) was used to normalize the
					wavelength and the intensity of the optical system to a reference optic (optic
					master). The stability of the forward power in the case of rapidly changing
					sample loads was achieved by using an air-cooled ICP-generator based on a free
					running 27.12 MHz system. All ICP operating parameters were software controlled.
					The ICP-OES instrument was initialized and allowed to achieve thermal
					equilibrium over 30 min. ICP-OES determinations of elements concentration were
					performed using the emission lines 228.802, 267.716, 324.752, 238.204, 285.213,
					259.372, 231.604, 220.353, 213.857, 189.641, 196.090, and 384.401 λ (nm) for the
					elements Cd, Cr, Cu, Fe, Mg, Mn, Ni, Pb, Zn, As, Se, and Al, respectively (<xref
						ref-type="bibr" rid="B1">al-Rajhi 2014</xref>).</p>
			</sec>
			<sec>
				<title>Quality control</title>
				<p>All the standard stock solutions of heavy metals were certified reference
					materials purchased from Agilent Technologies (USA). HNO<sub>3</sub> and
						H<sub>2</sub>O<sub>2</sub> were heavy metal analytical grade purchased from
					Wako Chemical (USA). Reagent water, toluene and acetone were of analytical
					reagent grade purchased from J.T. Baker (USA). Adequate quality control method
					and vigilance were carried out in order to get reliable results. Throughout the
					experiments, all glassware and equipment were cautiously washed beginning with
					acetone followed by 5 % HNO<sub>3</sub> and ending with repeated rinsing
					distilled water to prevent contamination. Reagent blank determinations were used
					to correct the readings. The lower detection limit values of the elements were
					found in this study to be 0.001 mg/kg for Cr, 0.001 mg/kg for Cu, 0.0001 mg/kg
					for Zn, 0.002 mg/kg for Fe, 0.003 mg/kg for Mn, 0.0001 mg/kg for Cd, 0.001 mg/kg
					for Al, 0.001 mg/kg for Ni, 0.01 mg/kg for Se, 0.004 for Pb and 0.01 mg/kg for
					As. The recovery values were nearly quantitative (95%) for digestion method. The
					relative standard deviations were less than 10 % for all investigated elements.
					Multi-element solution standards obtained from Agilent Technology were used to
					calibrate and calculate sample results.</p>
			</sec>
		</sec>
		<sec sec-type="results|discussion">
			<title>RESULTS AND DISCUSSION</title>
			<p>The determination of the elemental concentration in edible vegetable oil is vital,
				since several elements play major roles in various metabolic processes in the human
				body. Moreover, some of these elements are toxic if consumed in excessive
				quantities. In this study, 11 elements (Mn, Fe, Cu, Cr, Zn, Ni, Al, Pb, As, Cd, Se,
				and Al) in edible vegetable oil samples were studied using ICP-OES, as shown in
					<xref ref-type="table" rid="t1">table I</xref> and <xref ref-type="fig" rid="f2"
					>Fig. 2</xref>.</p>
			<p>
				<table-wrap id="t1">
					<label>TABLE I</label>
					<caption>
						<title>AVERAGE CONCENTRATIONS* OF Cd, Cr, Cu, Fe, Mn, Ni, Pb, Zn, As, Se AND
							Al IN EDIBLE VEGETABLE OIL.</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<tbody>
							<tr>
								<td align="justify">No.</td>
								<td align="justify">Cd </td>
								<td align="justify">Cr </td>
								<td align="justify">Cu </td>
								<td align="justify">Fe</td>
								<td align="justify">Mn</td>
								<td align="justify">Ni</td>
								<td align="justify">Zn</td>
								<td align="justify">Al</td>
								<td align="justify">Pb</td>
								<td align="justify">As </td>
								<td align="justify">Se</td>
							</tr>
							<tr>
								<td align="justify">1</td>
								<td align="justify">0.001</td>
								<td align="justify">0.004</td>
								<td align="justify">0.004</td>
								<td align="justify">0.061</td>
								<td align="justify">LDL</td>
								<td align="justify">0.038</td>
								<td align="justify">0.013</td>
								<td align="justify">0.179</td>
								<td align="justify">0.006</td>
								<td align="justify">0.28</td>
								<td align="justify">0.278</td>
							</tr>
							<tr>
								<td align="justify">2</td>
								<td align="justify">LDL</td>
								<td align="justify">0.009</td>
								<td align="justify">0.005</td>
								<td align="justify">0.048</td>
								<td align="justify">0.001</td>
								<td align="justify">0.042</td>
								<td align="justify">0.004</td>
								<td align="justify">0.014</td>
								<td align="justify">0.004</td>
								<td align="justify">0.099</td>
								<td align="justify">0.102</td>
							</tr>
							<tr>
								<td align="justify">3</td>
								<td align="justify">0.001</td>
								<td align="justify">0.014</td>
								<td align="justify">0.005</td>
								<td align="justify">0.305</td>
								<td align="justify">0.001</td>
								<td align="justify">0.018</td>
								<td align="justify">0.013</td>
								<td align="justify">0.295</td>
								<td align="justify">0.004</td>
								<td align="justify">0.309</td>
								<td align="justify">0.284</td>
							</tr>
							<tr>
								<td align="justify">4</td>
								<td align="justify">0</td>
								<td align="justify">0.004</td>
								<td align="justify">0.007</td>
								<td align="justify">0.056</td>
								<td align="justify">0.001</td>
								<td align="justify">0.026</td>
								<td align="justify">0.048</td>
								<td align="justify">0.111</td>
								<td align="justify">0.004</td>
								<td align="justify">0.18</td>
								<td align="justify">0.183</td>
							</tr>
							<tr>
								<td align="justify">5</td>
								<td align="justify">0.001</td>
								<td align="justify">0.009</td>
								<td align="justify">0.009</td>
								<td align="justify">0.239</td>
								<td align="justify">0.002</td>
								<td align="justify">0.222</td>
								<td align="justify">0.059</td>
								<td align="justify">0.131</td>
								<td align="justify">0.086</td>
								<td align="justify">0.877</td>
								<td align="justify">0.824</td>
							</tr>
							<tr>
								<td align="justify">6</td>
								<td align="justify">LDL</td>
								<td align="justify">0.009</td>
								<td align="justify">0.005</td>
								<td align="justify">0.067</td>
								<td align="justify">0.001</td>
								<td align="justify">0.085</td>
								<td align="justify">0.027</td>
								<td align="justify">0.069</td>
								<td align="justify">0.011</td>
								<td align="justify">0.24</td>
								<td align="justify">0.238</td>
							</tr>
							<tr>
								<td align="justify">7</td>
								<td align="justify">LDL</td>
								<td align="justify">0.004</td>
								<td align="justify">0.005</td>
								<td align="justify">0.12</td>
								<td align="justify">0.001</td>
								<td align="justify">0.08</td>
								<td align="justify">0.017</td>
								<td align="justify">0.425</td>
								<td align="justify">0.004</td>
								<td align="justify">0.289</td>
								<td align="justify">0.3</td>
							</tr>
							<tr>
								<td align="justify">8</td>
								<td align="justify">LDL</td>
								<td align="justify">0.004</td>
								<td align="justify">0.005</td>
								<td align="justify">0.072</td>
								<td align="justify">0.001</td>
								<td align="justify">0.052</td>
								<td align="justify">0.01</td>
								<td align="justify">0.116</td>
								<td align="justify">0.004</td>
								<td align="justify">0.309</td>
								<td align="justify">0.305</td>
							</tr>
							<tr>
								<td align="justify">9</td>
								<td align="justify">LDL</td>
								<td align="justify">0.01</td>
								<td align="justify">0.006</td>
								<td align="justify">0.106</td>
								<td align="justify">0.001</td>
								<td align="justify">0.011</td>
								<td align="justify">0.014</td>
								<td align="justify">0.152</td>
								<td align="justify">0.004</td>
								<td align="justify">0.256</td>
								<td align="justify">0.242</td>
							</tr>
							<tr>
								<td align="justify">10</td>
								<td align="justify">LDL</td>
								<td align="justify">0.008</td>
								<td align="justify">0.019</td>
								<td align="justify">0.108</td>
								<td align="justify">0.003</td>
								<td align="justify">0.018</td>
								<td align="justify">0.049</td>
								<td align="justify">0.087</td>
								<td align="justify">0.004</td>
								<td align="justify">0.026</td>
								<td align="justify">0.064</td>
							</tr>
							<tr>
								<td align="justify">11</td>
								<td align="justify">LDL</td>
								<td align="justify">0.008</td>
								<td align="justify">0.004</td>
								<td align="justify">0.137</td>
								<td align="justify">0.001</td>
								<td align="justify">0.01</td>
								<td align="justify">0.023</td>
								<td align="justify">0.149</td>
								<td align="justify">0.004</td>
								<td align="justify">0.331</td>
								<td align="justify">0.342</td>
							</tr>
							<tr>
								<td align="justify">12</td>
								<td align="justify">0.001</td>
								<td align="justify">0.007</td>
								<td align="justify">0.005</td>
								<td align="justify">0.084</td>
								<td align="justify">0.001</td>
								<td align="justify">0.013</td>
								<td align="justify">0.024</td>
								<td align="justify">0.098</td>
								<td align="justify">0.032</td>
								<td align="justify">0.614</td>
								<td align="justify">0.587</td>
							</tr>
							<tr>
								<td align="justify">13</td>
								<td align="justify">LDL</td>
								<td align="justify">0.008</td>
								<td align="justify">0.005</td>
								<td align="justify">0.067</td>
								<td align="justify">0.001</td>
								<td align="justify">0.018</td>
								<td align="justify">0.023</td>
								<td align="justify">0.083</td>
								<td align="justify">0.004</td>
								<td align="justify">0.381</td>
								<td align="justify">0.377</td>
							</tr>
							<tr>
								<td align="justify">14</td>
								<td align="justify">0.001</td>
								<td align="justify">0.007</td>
								<td align="justify">0.007</td>
								<td align="justify">0.084</td>
								<td align="justify">0.001</td>
								<td align="justify">0.009</td>
								<td align="justify">0.014</td>
								<td align="justify">0.098</td>
								<td align="justify">0.046</td>
								<td align="justify">0.975</td>
								<td align="justify">0.89</td>
							</tr>
							<tr>
								<td align="justify">15</td>
								<td align="justify">LDL</td>
								<td align="justify">0.004</td>
								<td align="justify">0.005</td>
								<td align="justify">0.372</td>
								<td align="justify">0.003</td>
								<td align="justify">0.014</td>
								<td align="justify">0.022</td>
								<td align="justify">0.079</td>
								<td align="justify">0.008</td>
								<td align="justify">0.364</td>
								<td align="justify">0.343</td>
							</tr>
							<tr>
								<td align="justify">16</td>
								<td align="justify">LDL</td>
								<td align="justify">0.002</td>
								<td align="justify">0.004</td>
								<td align="justify">0.027</td>
								<td align="justify">LDL</td>
								<td align="justify">0.034</td>
								<td align="justify">0.02</td>
								<td align="justify">0.019</td>
								<td align="justify">0.01</td>
								<td align="justify">0.321</td>
								<td align="justify">0.298</td>
							</tr>
							<tr>
								<td align="justify">17</td>
								<td align="justify">LDL</td>
								<td align="justify">0.01</td>
								<td align="justify">0.005</td>
								<td align="justify">0.038</td>
								<td align="justify">0.002</td>
								<td align="justify">0.032</td>
								<td align="justify">0.021</td>
								<td align="justify">0.013</td>
								<td align="justify">0.004</td>
								<td align="justify">0.081</td>
								<td align="justify">0.085</td>
							</tr>
							<tr>
								<td align="justify">18</td>
								<td align="justify">LDL</td>
								<td align="justify">0.003</td>
								<td align="justify">0.004</td>
								<td align="justify">0.028</td>
								<td align="justify">LDL</td>
								<td align="justify">0.052</td>
								<td align="justify">0.001</td>
								<td align="justify">0.012</td>
								<td align="justify">0.004</td>
								<td align="justify">0.058</td>
								<td align="justify">0.059</td>
							</tr>
							<tr>
								<td align="justify">19</td>
								<td align="justify">LDL</td>
								<td align="justify">0.011</td>
								<td align="justify">0.005</td>
								<td align="justify">0.065</td>
								<td align="justify">0.001</td>
								<td align="justify">0.046</td>
								<td align="justify">0.01</td>
								<td align="justify">0.091</td>
								<td align="justify">0.004</td>
								<td align="justify">0.337</td>
								<td align="justify">0.322</td>
							</tr>
							<tr>
								<td align="justify">20</td>
								<td align="justify">LDL</td>
								<td align="justify">0.004</td>
								<td align="justify">0.005</td>
								<td align="justify">0.049</td>
								<td align="justify">LDL</td>
								<td align="justify">0.026</td>
								<td align="justify">0.007</td>
								<td align="justify">0.081</td>
								<td align="justify">0.004</td>
								<td align="justify">0.254</td>
								<td align="justify">0.242</td>
							</tr>
							<tr>
								<td align="justify">21</td>
								<td align="justify">LDL</td>
								<td align="justify">0.007</td>
								<td align="justify">0.005</td>
								<td align="justify">0.089</td>
								<td align="justify">0.001</td>
								<td align="justify">0.007</td>
								<td align="justify">0.01</td>
								<td align="justify">0.089</td>
								<td align="justify">0.004</td>
								<td align="justify">0.395</td>
								<td align="justify">0.393</td>
							</tr>
							<tr>
								<td align="justify">22</td>
								<td align="justify">LDL</td>
								<td align="justify">0.004</td>
								<td align="justify">0.004</td>
								<td align="justify">0.066</td>
								<td align="justify">LDL</td>
								<td align="justify">0.006</td>
								<td align="justify">0.007</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">23</td>
								<td align="justify">0.002</td>
								<td align="justify">1.211</td>
								<td align="justify">0.018</td>
								<td align="justify">4.916</td>
								<td align="justify">0.077</td>
								<td align="justify">0.785</td>
								<td align="justify">0.234</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">24</td>
								<td align="justify">LDL</td>
								<td align="justify">0.018</td>
								<td align="justify">0.011</td>
								<td align="justify">0.112</td>
								<td align="justify">0.001</td>
								<td align="justify">0.042</td>
								<td align="justify">0.155</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">25</td>
								<td align="justify">LDL</td>
								<td align="justify">0.004</td>
								<td align="justify">0.002</td>
								<td align="justify">0.025</td>
								<td align="justify">LDL</td>
								<td align="justify">0.002</td>
								<td align="justify">0.003</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">26</td>
								<td align="justify">LDL</td>
								<td align="justify">0.005</td>
								<td align="justify">0.004</td>
								<td align="justify">0.079</td>
								<td align="justify">LDL</td>
								<td align="justify">0.007</td>
								<td align="justify">0.014</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">27</td>
								<td align="justify">0.001</td>
								<td align="justify">1.898</td>
								<td align="justify">0.032</td>
								<td align="justify">7.861</td>
								<td align="justify">0.128</td>
								<td align="justify">1.215</td>
								<td align="justify">0.018</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">28</td>
								<td align="justify">0.011</td>
								<td align="justify">0.022</td>
								<td align="justify">0.001</td>
								<td align="justify">0.173</td>
								<td align="justify">0.002</td>
								<td align="justify">0.012</td>
								<td align="justify">0.004</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">29</td>
								<td align="justify">0.002</td>
								<td align="justify">0.003</td>
								<td align="justify">0.001</td>
								<td align="justify">0.034</td>
								<td align="justify">0</td>
								<td align="justify">0.004</td>
								<td align="justify">0.007</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">30</td>
								<td align="justify">LDL</td>
								<td align="justify">0.012</td>
								<td align="justify">0.006</td>
								<td align="justify">0.151</td>
								<td align="justify">0.001</td>
								<td align="justify">0.015</td>
								<td align="justify">0.008</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">31</td>
								<td align="justify">LDL</td>
								<td align="justify">0.013</td>
								<td align="justify">0.004</td>
								<td align="justify">0.068</td>
								<td align="justify">0.001</td>
								<td align="justify">0.009</td>
								<td align="justify">0.015</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">32</td>
								<td align="justify">0.007</td>
								<td align="justify">0.002</td>
								<td align="justify">0.001</td>
								<td align="justify">0.034</td>
								<td align="justify">LDL</td>
								<td align="justify">0.002</td>
								<td align="justify">0.062</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">33</td>
								<td align="justify">LDL</td>
								<td align="justify">0.003</td>
								<td align="justify">0.005</td>
								<td align="justify">0.041</td>
								<td align="justify">LDL</td>
								<td align="justify">0.006</td>
								<td align="justify">0.01</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">34</td>
								<td align="justify">LDL</td>
								<td align="justify">0.014</td>
								<td align="justify">0.046</td>
								<td align="justify">0.141</td>
								<td align="justify">0.002</td>
								<td align="justify">0.016</td>
								<td align="justify">0.028</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">35</td>
								<td align="justify">LDL</td>
								<td align="justify">0.004</td>
								<td align="justify">0.005</td>
								<td align="justify">0.049</td>
								<td align="justify">LDL</td>
								<td align="justify">0.01</td>
								<td align="justify">0.01</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">36</td>
								<td align="justify">LDL</td>
								<td align="justify">0.005</td>
								<td align="justify">0.004</td>
								<td align="justify">0.055</td>
								<td align="justify">0.001</td>
								<td align="justify">0.008</td>
								<td align="justify">0.018</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">37</td>
								<td align="justify">LDL</td>
								<td align="justify">0.007</td>
								<td align="justify">0.009</td>
								<td align="justify">0.088</td>
								<td align="justify">0.001</td>
								<td align="justify">0.016</td>
								<td align="justify">0.016</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">38</td>
								<td align="justify">LDL</td>
								<td align="justify">0.006</td>
								<td align="justify">0.006</td>
								<td align="justify">0.074</td>
								<td align="justify">0.001</td>
								<td align="justify">0.012</td>
								<td align="justify">0.031</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
								<td align="justify">LDL</td>
							</tr>
							<tr>
								<td align="justify">39</td>
								<td align="justify">0.001</td>
								<td align="justify">0.038</td>
								<td align="justify">0.007</td>
								<td align="justify">0.278</td>
								<td align="justify">0.005</td>
								<td align="justify">0.065</td>
								<td align="justify">0.089</td>
								<td align="justify">0.074</td>
								<td align="justify">0.087</td>
								<td align="justify">0.799</td>
								<td align="justify">0.778</td>
							</tr>
							<tr>
								<td align="justify">40</td>
								<td align="justify">0.002</td>
								<td align="justify">0.002</td>
								<td align="justify">0.004</td>
								<td align="justify">0.033</td>
								<td align="justify">0.001</td>
								<td align="justify">0.014</td>
								<td align="justify">0.07</td>
								<td align="justify">0.017</td>
								<td align="justify">0.033</td>
								<td align="justify">0.302</td>
								<td align="justify">0.317</td>
							</tr>
							<tr>
								<td align="justify">41</td>
								<td align="justify">LDL</td>
								<td align="justify">0.062</td>
								<td align="justify">0.032</td>
								<td align="justify">0.252</td>
								<td align="justify">0.003</td>
								<td align="justify">0.035</td>
								<td align="justify">0.041</td>
								<td align="justify">0.059</td>
								<td align="justify">0.008</td>
								<td align="justify">0.107</td>
								<td align="justify">0.142</td>
							</tr>
							<tr>
								<td align="justify">42</td>
								<td align="justify">LDL</td>
								<td align="justify">0.003</td>
								<td align="justify">0.005</td>
								<td align="justify">0.026</td>
								<td align="justify">0.001</td>
								<td align="justify">0.004</td>
								<td align="justify">0.035</td>
								<td align="justify">0.021</td>
								<td align="justify">0.016</td>
								<td align="justify">0.147</td>
								<td align="justify">0.165</td>
							</tr>
							<tr>
								<td align="justify">43</td>
								<td align="justify">0.001</td>
								<td align="justify">0.025</td>
								<td align="justify">0.007</td>
								<td align="justify">0.356</td>
								<td align="justify">0.003</td>
								<td align="justify">0.024</td>
								<td align="justify">0.084</td>
								<td align="justify">0.031</td>
								<td align="justify">0.021</td>
								<td align="justify">0.109</td>
								<td align="justify">0.136</td>
							</tr>
							<tr>
								<td align="justify">44</td>
								<td align="justify">LDL</td>
								<td align="justify">0.035</td>
								<td align="justify">0.008</td>
								<td align="justify">0.133</td>
								<td align="justify">0.003</td>
								<td align="justify">0.028</td>
								<td align="justify">0.048</td>
								<td align="justify">0.094</td>
								<td align="justify">0.017</td>
								<td align="justify">0.134</td>
								<td align="justify">0.15</td>
							</tr>
							<tr>
								<td align="justify">45</td>
								<td align="justify">LDL</td>
								<td align="justify">0.012</td>
								<td align="justify">0.008</td>
								<td align="justify">0.094</td>
								<td align="justify">0.001</td>
								<td align="justify">0.01</td>
								<td align="justify">0.055</td>
								<td align="justify">0.024</td>
								<td align="justify">0.019</td>
								<td align="justify">0.121</td>
								<td align="justify">0.128</td>
							</tr>
							<tr>
								<td align="justify">46</td>
								<td align="justify">LDL</td>
								<td align="justify">0.024</td>
								<td align="justify">0.024</td>
								<td align="justify">0.174</td>
								<td align="justify">0.003</td>
								<td align="justify">0.088</td>
								<td align="justify">0.511</td>
								<td align="justify">0.199</td>
								<td align="justify">0.015</td>
								<td align="justify">0.112</td>
								<td align="justify">0.134</td>
							</tr>
							<tr>
								<td align="justify">47</td>
								<td align="justify">LDL</td>
								<td align="justify">0.003</td>
								<td align="justify">0.005</td>
								<td align="justify">0.049</td>
								<td align="justify">0.002</td>
								<td align="justify">0.03</td>
								<td align="justify">0.086</td>
								<td align="justify">0.012</td>
								<td align="justify">0.021</td>
								<td align="justify">0.074</td>
								<td align="justify">0.086</td>
							</tr>
							<tr>
								<td align="justify">48</td>
								<td align="justify">LDL</td>
								<td align="justify">0.004</td>
								<td align="justify">0.005</td>
								<td align="justify">0.08</td>
								<td align="justify">0.001</td>
								<td align="justify">0.01</td>
								<td align="justify">0.037</td>
								<td align="justify">0.013</td>
								<td align="justify">0.018</td>
								<td align="justify">0.081</td>
								<td align="justify">0.088</td>
							</tr>
							<tr>
								<td align="justify">49</td>
								<td align="justify">LDL</td>
								<td align="justify">0.003</td>
								<td align="justify">0.007</td>
								<td align="justify">0.038</td>
								<td align="justify">LDL</td>
								<td align="justify">0.004</td>
								<td align="justify">0.05</td>
								<td align="justify">0.013</td>
								<td align="justify">0.017</td>
								<td align="justify">0.083</td>
								<td align="justify">0.092</td>
							</tr>
							<tr>
								<td align="justify">50</td>
								<td align="justify">LDL</td>
								<td align="justify">0.01</td>
								<td align="justify">0.022</td>
								<td align="justify">0.08</td>
								<td align="justify">0.005</td>
								<td align="justify">0.017</td>
								<td align="justify">0.067</td>
								<td align="justify">0.078</td>
								<td align="justify">0.006</td>
								<td align="justify">0.045</td>
								<td align="justify">0.082</td>
							</tr>
							<tr>
								<td align="justify">51</td>
								<td align="justify">LDL</td>
								<td align="justify">0.036</td>
								<td align="justify">0.012</td>
								<td align="justify">0.181</td>
								<td align="justify">0.003</td>
								<td align="justify">0.03</td>
								<td align="justify">0.079</td>
								<td align="justify">0.095</td>
								<td align="justify">0.013</td>
								<td align="justify">0.092</td>
								<td align="justify">0.111</td>
							</tr>
							<tr>
								<td align="justify">52</td>
								<td align="justify">LDL</td>
								<td align="justify">0.019</td>
								<td align="justify">0.081</td>
								<td align="justify">0.142</td>
								<td align="justify">0.001</td>
								<td align="justify">0.02</td>
								<td align="justify">0.051</td>
								<td align="justify">0.074</td>
								<td align="justify">0.004</td>
								<td align="justify">0.01</td>
								<td align="justify">0.051</td>
							</tr>
							<tr>
								<td align="justify">53</td>
								<td align="justify">LDL</td>
								<td align="justify">0.049</td>
								<td align="justify">0.02</td>
								<td align="justify">0.18</td>
								<td align="justify">0.018</td>
								<td align="justify">0.024</td>
								<td align="justify">0.033</td>
								<td align="justify">0.063</td>
								<td align="justify">0.004</td>
								<td align="justify">0.01</td>
								<td align="justify">0.05</td>
							</tr>
							<tr>
								<td align="justify">54</td>
								<td align="justify">LDL</td>
								<td align="justify">0.078</td>
								<td align="justify">0.027</td>
								<td align="justify">0.633</td>
								<td align="justify">0.006</td>
								<td align="justify">0.057</td>
								<td align="justify">0.062</td>
								<td align="justify">0.08</td>
								<td align="justify">0.011</td>
								<td align="justify">0.031</td>
								<td align="justify">0.07</td>
							</tr>
							<tr>
								<td align="justify">Min</td>
								<td align="justify">0.001</td>
								<td align="justify">0.002</td>
								<td align="justify">0.001</td>
								<td align="justify">0.025</td>
								<td align="justify">0.001</td>
								<td align="justify">0.002</td>
								<td align="justify">0.001</td>
								<td align="justify">0.012</td>
								<td align="justify">0.004</td>
								<td align="justify">0.01</td>
								<td align="justify">0.05</td>
							</tr>
							<tr>
								<td align="justify">Max</td>
								<td align="justify">0.011</td>
								<td align="justify">1.898</td>
								<td align="justify">0.081</td>
								<td align="justify">7.861</td>
								<td align="justify">0.128</td>
								<td align="justify">1.215</td>
								<td align="justify">0.511</td>
								<td align="justify">0.425</td>
								<td align="justify">0.087</td>
								<td align="justify">0.975</td>
								<td align="justify">0.89</td>
							</tr>
							<tr>
								<td align="justify">Avg</td>
								<td align="justify">0.0006</td>
								<td align="justify">0.072</td>
								<td align="justify">0.011</td>
								<td align="justify">0.362</td>
								<td align="justify">0.006</td>
								<td align="justify">0.065</td>
								<td align="justify">0.047</td>
								<td align="justify">0.06</td>
								<td align="justify">0.011</td>
								<td align="justify">0.17</td>
								<td align="justify">0.172</td>
							</tr>
							<tr>
								<td align="justify">Std</td>
								<td align="justify">0.002</td>
								<td align="justify">0.307</td>
								<td align="justify">0.013</td>
								<td align="justify">1.256</td>
								<td align="justify">0.02</td>
								<td align="justify">0.196</td>
								<td align="justify">0.077</td>
								<td align="justify">0.073</td>
								<td align="justify">0.018</td>
								<td align="justify">0.229</td>
								<td align="justify">0.215</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN1">
							<p>*In mg/kg.</p>
						</fn>
						<fn id="TFN2">
							<p>LDL: lower detection limit, Min: minimum, Max: maximum, Avg: average,
								Std: standard deviation.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
			<p>
				<fig id="f2">
					<label>Fig. 2</label>
					<caption>
						<title>Cr, Cu, Fe, Mn, Ni, Zn, Al, Pb, As, As, and Se concentrations (in
							mg/kg) and statistical summary of edible vegetable oil samples.</title>
					</caption>
					<graphic xlink:href="0188-4999-rica-36-04-977-gf2.png"/>
				</fig>
			</p>
			<sec>
				<title>Nickel</title>
				<p>Ni concentrations varied from 0.002 to 1.215 mg/kg with an average value of 0.065
					mg/kg. The concentration of Ni control samples was 0.01 mg/kg. Upon comparing
					the average values of Ni in the obtained results with control and global data,
					it was found that the obtained values were far below the reported average values
					from Pakistan, Turkey and Spain (<xref ref-type="bibr" rid="B6">Cindiric et al.
						2007</xref>, <xref ref-type="bibr" rid="B17">Lorent et al. 2011</xref>). The
					nickel average daily intake (0.023011 mg/kg) was found to be lower than the
					maximum allowable concentration limit set by the World Health Organization
					(100-300 mg/kg) (<xref ref-type="bibr" rid="B30">WHO 1995</xref>). Trace amounts
					of Ni may be beneficial as activators of some enzyme systems, but its toxicity
					at higher levels is more prominent (<xref ref-type="bibr" rid="B2">Ameen et al.
						2019</xref>).</p>
			</sec>
			<sec>
				<title>Copper</title>
				<p>Cu concentrations ranged from 0.001-0.081 mg/kg with an average value of 0.011
					mg/kg. The concentration of control samples was 0.0001 mg/kg. The Cu
					concentration range was lower than that reported in similar data (0.02-0.33
					mg/kg) (<xref ref-type="bibr" rid="B11">Garrido et al. 1994</xref>), 12.71-50.5
					mg/kg (<xref ref-type="bibr" rid="B5">Buldini et al. 1997</xref>), 0.15-1.5
					mg/kg (<xref ref-type="bibr" rid="B32">Zeiner et al. 2005</xref>), 0.0184-0.2870
					mg/kg, 0.05-0.71 mg/kg (<xref ref-type="bibr" rid="B20">Mendil et al.
						2009</xref>), and 0-130 mg/kg (<xref ref-type="bibr" rid="B17">Llorent et
						al. 2011</xref>). The Cu average daily intake (0.004 mg/kg) was found to be
					lower than the maximum allowable concentration limit set by the Food and
					Agriculture Organization of the United Nations and WHO (3 mg/kg) (<xref
						ref-type="bibr" rid="B10">FAO-WHO 1999</xref>). Cu has numerous functions in
					the human body, but excessive intake of this element has been reported to be
					toxic.</p>
			</sec>
			<sec>
				<title>Zinc</title>
				<p>Zn concentrations varied from 0.001 to 0.511 mg/kg ith an average value of 0.047
					mg/kg. From the obtained results, the Zn concentration range was higher than the
					control samples (0.002 mg/kg), however Zn concentrations in this investigation
					were lower than in similar data reported by numerous researchers (<xref
						ref-type="bibr" rid="B11">Garrido et al. 1994</xref>, <xref ref-type="bibr"
						rid="B20">Mendil et al. 2009</xref>). The Zn average daily intake (0.017
					mg/kg) was found to be lower than the maximum legal limit set by <xref
						ref-type="bibr" rid="B30">WHO (1995)</xref> (60 mg mg/kg). Zn has an
					essential function in carbohydrate and cholesterol metabolism.</p>
			</sec>
			<sec>
				<title>Manganese</title>
				<p>Mn is essential in many biological processes such as immunity functions, blood
					sugar regulation and bone growth, as well as being a cell antioxidant (<xref
						ref-type="bibr" rid="B21">Pfalzer and Bowman 2017</xref>). This element was
					detected in 43 of the 54 samples within a range of 0.001-0.128 mg/kg with an
					average value of 0.002 mg/kg. In comparison, manganese average values in the
					investigated samples were lower than in a similar studies (<xref ref-type="bibr"
						rid="B11">Garrido et al. 1994</xref>, <xref ref-type="bibr" rid="B6"
						>Cindiric et al. 2007</xref>, <xref ref-type="bibr" rid="B20">Mendil et al.
						2009</xref>, <xref ref-type="bibr" rid="B17">Llorent et al. 2011</xref>).
					Manganese average daily intake 0.006 mg/kg was found to be lower than the
					maximum limit set by <xref ref-type="bibr" rid="B30">WHO (1995)</xref> (2.5-5
					mg/kg).</p>
			</sec>
			<sec>
				<title>Chromium</title>
				<p>Cr is important in the metabolism of glucose, as reported by <xref
						ref-type="bibr" rid="B31">Yagi et al. (2013)</xref>. The toxic effects of
						Cr<sup>+3</sup> intake include skin rash, nose irritation, bleeding, upset
					stomach, kidney and liver damage. Cr concentrations varied from 0.002 to 1.898
					mg/kg with an average value of 0.026 mg/kg. The concentration of control samples
					was 0.003 mg/kg.</p>
			</sec>
			<sec>
				<title>Iron</title>
				<p>Fe was found within the range of 0.025-7.861 mg/kg with an average value of 0.362
					mg/kg. The average daily intake of this element (0.129 mg/kg) was found to be
					lower than the maximum allowable limit (11-18 mg/kg) (Institute of Medicine
					2001). The concentrations of control samples was 0.027 mg/kg. It is well known
					that Fe is indispensable for human beings and animals and is an essential
					component of hemoglobin. It facilitates the oxidation of carbohydrates, proteins
					and fats to control body weight, which is an extremely important factor in
					diabetes; furthermore, an Fe deficiency can induce anemia. The recommended daily
					allowance (RDA) for Fe is 11 and 18 mg/day for children and adults, respectively
						(<xref ref-type="bibr" rid="B25">Schüman et al. 2007</xref>).</p>
			</sec>
			<sec>
				<title>Selenium</title>
				<p>Se was present in a range of 0.05-0.89 mg/kg with an average of 0.172 mg/kg,
					while the control sample concentration was 0.004 mg/kg. The average daily intake
					of Se (0.025) mg was found to be lower than the maximum allowable concentration
					limit 0.55 mg/kg (<xref ref-type="bibr" rid="B25">Schüman et al. 2007</xref>)
						(<xref ref-type="bibr" rid="B12">Institute of Medicine 2001</xref>). Se is
					an essential element for human nutrition and plays an important role in the
					protection of the body from cancer and heart disease (<xref ref-type="bibr"
						rid="B29">Wan et al. 2020</xref>). Its RDA is 0.55 mg/day (<xref
						ref-type="bibr" rid="B12">Institute of Medicine 2001</xref>, <xref
						ref-type="bibr" rid="B25">Schüman et al. 2007</xref>).</p>
			</sec>
			<sec>
				<title>Cadmium</title>
				<p>Ca was detected in 14 of the 54 samples. Concentrations of this element in the
					samples were found to be in the range of 0.001-0.011 mg/kg, with an average
					value of 0.0006 mg/kg. The concentration in control samples was 0.001 mg/kg. All
					the investigated samples showed lower Ca levels than the legal limits
					recommended by FAO-WHO (0.5 mg/kg) (<xref ref-type="bibr" rid="B7">Codex S
						2011</xref>). Ca is an extremely toxic metal found naturally in soil, but
					also spread in the environment due to human activity. Overexposure to Ca can
					lead to lung, liver, skeletal, and renal problems, as well as cancer (<xref
						ref-type="bibr" rid="B8">Djordjevic et al. 2019</xref>).</p>
			</sec>
			<sec>
				<title>Arsenic</title>
				<p>The As content in samples were in the range of 0.01-0.975 mg/kg with an average
					value of 0.17 mg/kg. The obtained values fell far below the action level
					recommended by FAO/WHO of 0.5 mg/kg (<xref ref-type="bibr" rid="B7">Codex S
						2011</xref>). The control sample concentration was 0.01mg/kg. As is a
					naturally occurring element that can be toxic to humans, animals and plants;
					however, its toxicity varies depending on its presentation form (<xref
						ref-type="bibr" rid="B16">Kim et al. 2018</xref>).</p>
			</sec>
			<sec>
				<title>Aluminum</title>
				<p>Al concentrations were in the range of 0.012-0.425 mg/kg, with an average value
					of 0.06 mg/kg. The control sample concentration was 0.001 mg/kg. The toxicity of
					Al in humans is mainly related to neurotoxicity and the development of
					neurodegenerative diseases (<xref ref-type="bibr" rid="B28">Verstraeten et al.
						2008</xref>). It was difficult to compare our obtained results for Al with
					worldwide concentrations due to the scarcity of data. The FAO-WHO tolerable
					weekly intake value for Al is 1 mg/kg body weight/week (<xref ref-type="bibr"
						rid="B27">Stahl et al. 2011</xref>).</p>
			</sec>
			<sec>
				<title>Lead</title>
				<p>Pb was detected in 16 of the 37 samples with concentrations ranging from 0.004 to
					0.087 mg/kg and an average of 0.011 mg/kg. The Pb control sample concentration
					was 0.01 mg/kg. From the obtained results, the Pb concentration range was lower
					than in similar data reported in Turkey. The Pb concentration in the current
					study fell within the recommended limits set by FAO/WHO (0.1 mg/kg) (<xref
						ref-type="bibr" rid="B7">Codex S 2011</xref>). Lead is a naturally occurring
					element and is a widespread industrial metal. Pb has severe health effects even
					at relatively low levels. It is able to cross the placenta and damage the
					developing fetal nervous systems (<xref ref-type="bibr" rid="B18">Łukomska et
						al. 2017</xref>). Pb causes both acute and chronic poisoning; it has adverse
					effects on the kidneys, liver, heart and both the vascular and immune
					systems.</p>
			</sec>
			<sec>
				<title>Correlation coefficient test</title>
				<p>Correlations support the interpretation of meaningful measurements. This approach
					also helps to identify common factors, inducing the observation of elemental
					relationships. A high value of the coefficient reveals a high linear correlation
					between the contents of two elements. <xref ref-type="table" rid="t2">Table
						II</xref> shows the Spearman correlation coefficient (r) between the
					elements in oil samples. It was found that the correlation matrix of
					investigated oil samples showed a cluster of high positive correlation between
					the variables Cr and Fe (0.998), Cr and Mn (0.994), Cr and Ni (0.985), Fe and Mn
					(0.994), Fe and Ni (0.985), Mn and Ni (0.978), As and Se (0.997). This indicates
					that there is a strong relationship between these elements. On the other hand,
					moderate positive correlations were noted between Pb and As (0.768), and between
					PB and Se (0.778). Overall, the correlation behavior of elements in the studied
					samples remained noticeably diverse, which may be attributed to the
					disproportions of the origin of samples.</p>
				<p>
					<table-wrap id="t2">
						<label>TABLE II</label>
						<caption>
							<title>PEARSON CORRELATION COEFFICIENTS FOR Mn, Fe, Cu, Cr, Zn, Ni, Al,
								Pb, As, Se AND Al IN EDIBLE VEGETABLE OIL SAMPLES.</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<tbody>
								<tr>
									<td align="center"> </td>
									<td align="center">Cd</td>
									<td align="center">Cr</td>
									<td align="center">Cu</td>
									<td align="center">Fe</td>
									<td align="center">Mn</td>
									<td align="center">Ni</td>
									<td align="center">Zn</td>
									<td align="center">Al</td>
									<td align="center">Pb</td>
									<td align="center">As</td>
									<td align="center">Se</td>
								</tr>
								<tr>
									<td align="center">Cd</td>
									<td align="center">1.000</td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="center">Cr</td>
									<td align="center">0.085</td>
									<td align="center">1.000</td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="center">Cu</td>
									<td align="center">-0.150</td>
									<td align="center">0.256</td>
									<td align="center">1.000</td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="center">Fe</td>
									<td align="center">0.087</td>
									<td align="center">0.998</td>
									<td align="center">0.260</td>
									<td align="center">1.000</td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="center">Mn</td>
									<td align="center">0.076</td>
									<td align="center">0.994</td>
									<td align="center">0.269</td>
									<td align="center">0.992</td>
									<td align="center">1.000</td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="center">Ni</td>
									<td align="center">0.070</td>
									<td align="center">0.985</td>
									<td align="center">0.243</td>
									<td align="center">0.985</td>
									<td align="center">0.978</td>
									<td align="center">1.000</td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="center">Zn</td>
									<td align="center">-0.007</td>
									<td align="center">0.154</td>
									<td align="center">0.228</td>
									<td align="center">0.154</td>
									<td align="center">0.152</td>
									<td align="center">0.191</td>
									<td align="center">1.000</td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="center">Al</td>
									<td align="center">-0.136</td>
									<td align="center">-0.145</td>
									<td align="center">0.008</td>
									<td align="center">-0.125</td>
									<td align="center">-0.137</td>
									<td align="center">-0.080</td>
									<td align="center">0.136</td>
									<td align="center">1.000</td>
									<td align="center"> </td>
									<td align="center"> </td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="center">Pb</td>
									<td align="center">0.008</td>
									<td align="center">-0.106</td>
									<td align="center">-0.072</td>
									<td align="center">-0.090</td>
									<td align="center">-0.094</td>
									<td align="center">-0.011</td>
									<td align="center">0.145</td>
									<td align="center">0.143</td>
									<td align="center">1.000</td>
									<td align="center"> </td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="center">As</td>
									<td align="center">-0.042</td>
									<td align="center">-0.149</td>
									<td align="center">-0.208</td>
									<td align="center">-0.133</td>
									<td align="center">-0.147</td>
									<td align="center">-0.066</td>
									<td align="center">-0.062</td>
									<td align="center">0.433</td>
									<td align="center">0.768</td>
									<td align="center">1.000</td>
									<td align="center"> </td>
								</tr>
								<tr>
									<td align="center">Se</td>
									<td align="center">-0.056</td>
									<td align="center">-0.159</td>
									<td align="center">-0.180</td>
									<td align="center">-0.142</td>
									<td align="center">-0.154</td>
									<td align="center">-0.076</td>
									<td align="center">-0.044</td>
									<td align="center">0.454</td>
									<td align="center">0.778</td>
									<td align="center">0.997</td>
									<td align="center">1.000</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN3">
								<p>Note: values in bold characters represent a &gt; 0.5
									correlation.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
			</sec>
		</sec>
		<sec sec-type="conclusions">
			<title>CONCLUSIONS</title>
			<p>Based on the obtained results the following conclusions may be drawn: </p>
			<p>
				<list list-type="bullet">
					<list-item>
						<p>No contamination was observed in the samples analyzed. </p>
					</list-item>
					<list-item>
						<p>There are no significant differences in the concentrations of studied
							oils because all of them were found to be lower than the maximum
							allowable limits set by FAO and WHO. </p>
					</list-item>
					<list-item>
						<p>Significant correlations were observed between Cr and Fe (0.998), Cr and
							Mn (0.994), Cr and Ni (0.985), Fe and Mn (0.994), Fe and Ni (0.985), Mn
							and Ni (0.978), and As and Se (0.997)</p>
					</list-item>
				</list>
			</p>
		</sec>
	</body>
	<back>
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