Source apportionment of polycyclic aromatic hydrocarbons (PAHs) in sediments from Khuzestan province, Iran

Баландіна, Надія; Poulsen, Kristoffer G.; Knudsen, Sofie B.; Soleimani, Mohsen; Furbo, Søren; Tomasi, Giorgio; Christensen, Jan H.

doi:10.1016/j.marpolbul.2016.05.057

Cited by 18 publications

(5 citation statements)

References 16 publications

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“…As a developing country, Iran is profoundly exposed to environmental pollution caused by PAHs. Studies in Tehran (Karyab et al, 2013;Naddafi et al, 2017) and other large cities of Iran (Lübeck et al, 2016;Goudarzi et al, 2017) have confirmed that PAHs, which are abundant in smoke, contaminated air, and smoke from fossil fuels, are environmental pollutants. The human body has two protective mechanisms (i.e., the first and the second phases of antioxidant defense) to protect against these threatening compounds.…”

Section: Introductionmentioning

confidence: 96%

The Relation between Polymorphisms in Exon 5 and Exon 6 of GSTP1 Gene and the Risk of Lung Cancer in Iranian People

Shahsavari

Amiri

Shamaei

et al. 2019

Asian Pac J Cancer Prev

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Objective: The GSTP1 gene, which is located on chromosome 11q13, consists of 7 exons and 6 introns. There are two polymorphisms in GSTP1 that have been exposed to a transposition for codon 105 (Ile/Val) and 114 (Ala/Val) in exons 5 and 6, which have been studied previously in relation to lung cancer. Since the level of GSTP1 expression in lung tissues and other human epithelial tissues is high, GSTP1Val-105 polymorphism is recognized as a sensitive factor for tobacco-related cancers, especially lung cancer. Methods: One hundred and twenty tissue block samples of patients with lung cancers and 120 peripheral blood samples of the control group were obtained from two referral cancer centers in Tehran, Iran, from 2011 to 2016. Genomic DNA was extracted from tissue blocks and buffy coat of study cases to detect SNP of GSTP1 gene using Tetra-primer ARMS-PCR. Results: There was a notable correlation between the incidence of lung cancer and variant Val105 (P-value=0.001; OR=2/6; 95% CI=1.49-4.53) and Ile105 (P-value=0.003; OR=0.41; 95% CI=0.23-0.73). The odds ratio for lung cancer in the homozygous Ile105/Ile105 genotype was 3.56 times higher than that of individual with heterozygous Ile105/Val105 (P-value<0.001; OR=3/56; 95% CI=1.826-6.934) genotype, that was statistically significant. Furthermore, the results showed that there was no significant correlation between Ala114/Val114 genotypes and lung cancer. The BC (P-value=0.007; OR=0.16; 95% CI=0.04-0.61) and AA (P=0.001) genotypes were statistically significant (P-value <0.05); and for those who had AA genotype, the odds ratio was almost six times higher than those with BC genotype. Conclusions: The study of GSTP1 polymorphisms indicated that unlike the polymorphism in exon 5, the GSTP1 exon 6 polymorphism correlated with the lung cancer risk in the select group of Iranian people. Likewise, the potential use of this genetic polymorphism as a lung cancer predictor is confirmed.

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Section: Introductionmentioning

confidence: 96%

The Relation between Polymorphisms in Exon 5 and Exon 6 of GSTP1 Gene and the Risk of Lung Cancer in Iranian People

Shahsavari

Amiri

Shamaei

et al. 2019

Asian Pac J Cancer Prev

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“…They become a sink for a wide variety of low‐ to mid‐polarity organic contaminants and their degradation products [ 1 , 2 ]. Nonpolar compounds such as polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and other persistent organic pollutants are routinely monitored in solid matrices using target workflows with GC‐MS or GC coupled to electron capture detectors [ 2 , 3 , 4 , 5 , 6 ]. Midpolar to polar compounds such as certain pharmaceuticals, and household or personal care products can be analyzed with UHPLC and high‐resolution MS [ 2 , 6 , 7 ] to avoid the use of derivatization in GC and allow the determination of non‐volatile and thermally labile compounds.…”

Section: Introductionmentioning

confidence: 99%

Ultra‐high‐performance supercritical fluid chromatography‐mass spectrometry for the analysis of organic contaminants in sediments

Баландіна

Christensen

Tomasi

2022

J of Separation Science

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A nontarget screening method was developed based on D‐optimal designs for ultra‐high performance supercritical fluid chromatography with positive and negative electrospray ionization mode mass spectrometry. A mixture of organic contaminants such as pesticides, steroids, surfactants, phenolic and fatty acids, and polycyclic aromatic hydrocarbon derivatives, was used for the optimization. An aprotic mixture of dichloromethane and acetone [3:1] performed overall best as the injection solvent. The highest peak capacities (n) were accomplished at the shallowest gradient (1%B/min), ammonium formate (n = 378 in negative ionization mode), or ammonium acetate (n = 327 in positive ionization mode) in methanol as the modifier. Capillary voltage, make‐up solvent flow rate, water, and additive concentration were the most significant factors for improving peak intensity: higher peak intensities were obtained at lower additive concentrations (5mM ammonium formate), and with 5% water in positive ionization mode. Conversely, water had detrimental effects in negative ionization mode. The optimized method was used to quantify organic contaminants in 17 freshwater sediment samples from Copenhagen, Denmark. Out of 50 monitored contaminants, 35 were detected in at least one sample. Further, the method has a potential for target and nontarget screening analysis of organic contaminants in solid matrices.

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“…Pixel-based analysis of sections of chromatograms is an especially interesting alternative to peak integration for forensic mid-distillate spill investigations, because the search for spill-source matching is done using all the potential chromatographic pixels, instead of only a few selected compounds susceptible to weathering. Christensen et al have already introduced the so-called CHEMSIC method (CHEMometric analysis of Selected Ion Chromatograms) for forensic investigations about crude oil environmental spills using 1D GC-MS. − CHEMSIC provides important advantages compared to the conventional approach, such as (i) a more comprehensive diagnostics as a larger fraction of the chromatographic data is analyzed instead of only preselected target compounds, and (ii) higher flexibility in forensic investigations as tens of different SICs can be combined for the analysis …”

Section: Introductionmentioning

confidence: 99%

Forensic Investigations of Diesel Oil Spills in the Environment Using Comprehensive Two-Dimensional Gas Chromatography–High Resolution Mass Spectrometry and Chemometrics: New Perspectives in the Absence of Recalcitrant Biomarkers

Alexandrino

Tomasi

Kienhuis

et al. 2018

Environ. Sci. Technol.

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Forensic investigations of oil spills aim to find the responsible source(s) of the spill. Oil weathering processes change the chemical composition of the spilled oil and make the matching of oil spill samples to potential sources difficult. Diesel oil spill cases are more challenging, because biomarkers recalcitrant to long-term weathering are absent. We developed and tested a new method for the analysis and matching of diesel oil spills using two-dimensional gas chromatography–high resolution mass spectrometry (GC × GC – HRMS) and 2D-CHEMSIC (2-Dimensional CHEMometric analysis of Selected Ion Chromatograms), an extension of the CHEMSIC method to GC × GC data. The 2D-CHEMSIC performs pixel-based analysis using chemometrics on concatenated sections of 2D extracted ion chromatograms to assess the overall chemical variability of the samples, with potential applications for matching spill-source pairs in forensic investigations. The method was tested on samples from a number of diesel oil spill cases, (i) distinguishing chemically similar source diesels, (ii) investigating weathering effects on spill samples to determine type and degree of weathering, and (iii) improving the matching of diesel oil spills affected by weathering. Positive matches for spill-source pairs were identified after excluding the signals from the hydrocarbons most susceptible to evaporation, and photo-oxidized spills were also matched due to the presence of unaffected hydrocarbons. Forensic diagnostics obtained by the 2D-CHEMSIC were validated by the conventional CEN-Tr method.

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Source apportionment of polycyclic aromatic hydrocarbons (PAHs) in sediments from Khuzestan province, Iran

Cited by 18 publications

References 16 publications

The Relation between Polymorphisms in Exon 5 and Exon 6 of GSTP1 Gene and the Risk of Lung Cancer in Iranian People

The Relation between Polymorphisms in Exon 5 and Exon 6 of GSTP1 Gene and the Risk of Lung Cancer in Iranian People

Ultra‐high‐performance supercritical fluid chromatography‐mass spectrometry for the analysis of organic contaminants in sediments

Forensic Investigations of Diesel Oil Spills in the Environment Using Comprehensive Two-Dimensional Gas Chromatography–High Resolution Mass Spectrometry and Chemometrics: New Perspectives in the Absence of Recalcitrant Biomarkers

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