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Identification of the Contamination Sources by PCBs Using Multivariate Analyses: The Case Study of the Annaba Bay (Algeria) Basin

Persistent Organic Pollutants (POPs), particularly the indicator polychlorinated biphenyls (PCBs), were first quantified in water and sediments of two wadis, Boujemaâ and Seybouse, as well as in the effluents from a fertilizer and phytosanitary production industrial plant (Fertial). Since these cont...

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Autores principales: Khaled-Khodja, Soumeya, Cheraitia, Hassen, Rouibah, Karima, Ferkous, Hana, Durand, Gaël, Cherif, Semia, El-Hiti, Gamal A., Yadav, Krishna Kumar, Erto, Alessandro, Benguerba, Yacine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574193/
https://www.ncbi.nlm.nih.gov/pubmed/37836682
http://dx.doi.org/10.3390/molecules28196841
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author Khaled-Khodja, Soumeya
Cheraitia, Hassen
Rouibah, Karima
Ferkous, Hana
Durand, Gaël
Cherif, Semia
El-Hiti, Gamal A.
Yadav, Krishna Kumar
Erto, Alessandro
Benguerba, Yacine
author_facet Khaled-Khodja, Soumeya
Cheraitia, Hassen
Rouibah, Karima
Ferkous, Hana
Durand, Gaël
Cherif, Semia
El-Hiti, Gamal A.
Yadav, Krishna Kumar
Erto, Alessandro
Benguerba, Yacine
author_sort Khaled-Khodja, Soumeya
collection PubMed
description Persistent Organic Pollutants (POPs), particularly the indicator polychlorinated biphenyls (PCBs), were first quantified in water and sediments of two wadis, Boujemaâ and Seybouse, as well as in the effluents from a fertilizer and phytosanitary production industrial plant (Fertial). Since these contaminated discharges end in Annaba Bay (Algeria) in the Mediterranean Sea, with a significant level of contamination, all the potential sources should be identified. In this work, this task is conducted by a multivariate analysis. Liquid–liquid extraction and gas chromatography/mass spectrometry (GC–MS) methods were applied to quantify seven PCB congeners, usually taken as indicators of contamination. The sum of the PCB concentrations in the sediments ranged from 1 to 6.4 μg/kg dw (dry weight) and up to 0.027 μg/L in waters. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used for the multivariate analysis, indicating that the main sources of PCB emissions in the bay are urban/domestic and agricultural/industrial. The outfalls that mostly contribute to the pollution of the gulf are the Boujemaâ wadi, followed by the Seybouse wadi, and finally by the Fertial cluster and more precisely the annex basin of the plant. Although referring to a specific site of local importance, the work aims to present a procedure and a methodological analysis that can be potentially applicable to further case studies all over the world.
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spelling pubmed-105741932023-10-14 Identification of the Contamination Sources by PCBs Using Multivariate Analyses: The Case Study of the Annaba Bay (Algeria) Basin Khaled-Khodja, Soumeya Cheraitia, Hassen Rouibah, Karima Ferkous, Hana Durand, Gaël Cherif, Semia El-Hiti, Gamal A. Yadav, Krishna Kumar Erto, Alessandro Benguerba, Yacine Molecules Article Persistent Organic Pollutants (POPs), particularly the indicator polychlorinated biphenyls (PCBs), were first quantified in water and sediments of two wadis, Boujemaâ and Seybouse, as well as in the effluents from a fertilizer and phytosanitary production industrial plant (Fertial). Since these contaminated discharges end in Annaba Bay (Algeria) in the Mediterranean Sea, with a significant level of contamination, all the potential sources should be identified. In this work, this task is conducted by a multivariate analysis. Liquid–liquid extraction and gas chromatography/mass spectrometry (GC–MS) methods were applied to quantify seven PCB congeners, usually taken as indicators of contamination. The sum of the PCB concentrations in the sediments ranged from 1 to 6.4 μg/kg dw (dry weight) and up to 0.027 μg/L in waters. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used for the multivariate analysis, indicating that the main sources of PCB emissions in the bay are urban/domestic and agricultural/industrial. The outfalls that mostly contribute to the pollution of the gulf are the Boujemaâ wadi, followed by the Seybouse wadi, and finally by the Fertial cluster and more precisely the annex basin of the plant. Although referring to a specific site of local importance, the work aims to present a procedure and a methodological analysis that can be potentially applicable to further case studies all over the world. MDPI 2023-09-28 /pmc/articles/PMC10574193/ /pubmed/37836682 http://dx.doi.org/10.3390/molecules28196841 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Khaled-Khodja, Soumeya
Cheraitia, Hassen
Rouibah, Karima
Ferkous, Hana
Durand, Gaël
Cherif, Semia
El-Hiti, Gamal A.
Yadav, Krishna Kumar
Erto, Alessandro
Benguerba, Yacine
Identification of the Contamination Sources by PCBs Using Multivariate Analyses: The Case Study of the Annaba Bay (Algeria) Basin
title Identification of the Contamination Sources by PCBs Using Multivariate Analyses: The Case Study of the Annaba Bay (Algeria) Basin
title_full Identification of the Contamination Sources by PCBs Using Multivariate Analyses: The Case Study of the Annaba Bay (Algeria) Basin
title_fullStr Identification of the Contamination Sources by PCBs Using Multivariate Analyses: The Case Study of the Annaba Bay (Algeria) Basin
title_full_unstemmed Identification of the Contamination Sources by PCBs Using Multivariate Analyses: The Case Study of the Annaba Bay (Algeria) Basin
title_short Identification of the Contamination Sources by PCBs Using Multivariate Analyses: The Case Study of the Annaba Bay (Algeria) Basin
title_sort identification of the contamination sources by pcbs using multivariate analyses: the case study of the annaba bay (algeria) basin
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574193/
https://www.ncbi.nlm.nih.gov/pubmed/37836682
http://dx.doi.org/10.3390/molecules28196841
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