Heavy metals and arsenic content in water along the southern Caspian coasts in Iran

Abadi, Mohammad; Zamani, Abbasali; Parizanganeh, Abdolhossein; Khosravi, Younes; Badiee, Hamid

doi:10.1007/s11356-018-2455-7

Cited by 36 publications

(7 citation statements)

References 40 publications

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“…Upon arrival at the laboratory, a specific standard solution was prepared to facilitate the evaluation of the concentrations of various heavy metals, including Cd, Pb, Hg, As, Cu, Cr, Zn, Fe, and Mn. The concentrations of these metals were measured and recorded in micrograms per liter (μg/l) using voltammetry techniques (Metrohm 797 V), a reliable analytical technique 23 .…”

Section: Methodsmentioning

confidence: 99%

Comprehensive health risk analysis of heavy metal pollution using water quality indices and Monte Carlo simulation in R software

Badeenezhad,

Soleimani,

Shahsavani

et al. 2023

Sci Rep

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Rapid urbanization, population growth, agricultural practices, and industrial activities have led to widespread groundwater contamination. This study evaluated heavy metal contamination in residential drinking water in Shiraz, Iran (2021). The analysis involved 80 groundwater samples collected across wet and dry seasons. Water quality was comprehensively assessed using several indices, including the heavy metals evaluation index (HEI), heavy metal pollution index (HPI), contamination degree (CD), and metal index (MI). Carcinogenic and non-carcinogenic risk assessments were conducted using deterministic and probabilistic approaches for exposed populations. In the non-carcinogenic risk assessment, the chronic daily intake (CDI), hazard quotient (HQ), and hazard index (HI) are employed. The precision of risk assessment was bolstered through the utilization of Monte Carlo simulation, executed using the R software platform. Based on the results, in both wet and dry seasons, Zinc (Zn) consistently demonstrates the highest mean concentration, followed by Manganese (Mn) and Chromium (Cr). During the wet and dry seasons, 25% and 40% of the regions exhibited high CD, respectively. According to non-carcinogenic risk assessment, Cr presents the highest CDI and HQ in children and adults, followed by Mn, As and HI values, indicating elevated risk for children. The highest carcinogenic risk was for Cr in adults, while the lowest was for Cd in children. The sensitivity analysis found that heavy metal concentration and ingestion rate significantly impact both carcinogenic and non-carcinogenic risks. These findings provide critical insights for shaping policy and allocating resources towards effectively managing heavy metal contamination in residential drinking water.

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Section: Methodsmentioning

confidence: 99%

Comprehensive health risk analysis of heavy metal pollution using water quality indices and Monte Carlo simulation in R software

Badeenezhad,

Soleimani,

Shahsavani

et al. 2023

Sci Rep

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“…The pH of the samples was stabilized in the range of 0.2 ± 0.2 by nitric acid 39 . The analysis of the samples was performed using a Metrohm 797 VA Computrace Voltammograph (Metrohm, Switzerland) equipped with a voltammetric cell 40 .…”

Section: Methodsmentioning

confidence: 99%

The association of arsenic exposure with mortality due to cancer, diabetes, Alzheimer's and congenital anomalies using Poisson regression

Rahmani,

Khamutian,

Doosti-Irani

et al. 2023

Sci Rep

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The present study aims to determine the relationship between the concentration of arsenic in the groundwater of Hamadan province and the mortality rate due to various types of malignancies, congenital anomalies, diabetes mellitus and Alzheimer's. Mortality data due to various causes of death in Hamadan province were collected for five years (2016–2020). Sampling of drinking water was determined in the reference laboratory using polarography method. Poisson regression was used to investigate the relationship between arsenic level and the death rate due to various types of disease, at a significant level (p value < 0.05). According to the results of Poisson regression, among the various causes of death (N = 8042), Alzheimer's 5.94 (3.67–9.61), diabetes mellitus 4.05 (3.5–5.37), congenital malformations 2.98 (1.88–4.72), breast cancer 2.72 (1.56–4.71), leukemia 1.90 (1.24–2.92), stomach cancer 1.64 (1.28–2.10), Liver cancer 1.58 (1.58–2.30), other digestive organs 5.86 (3.38–10.16), meninges and brain cancer 1.57 (1.02–2.41) showed the highest relationship with arsenic contamination. The results of this study could be evidence for a positive and significant relationship between arsenic concentrations and mortality rates due to cancers, diabetes mellitus, Alzheimer disease, and congenital malformations. Therefore, it's necessary to use appropriate water treatment methods to remove arsenic at the source in contaminated areas.

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“…Variabilitas cemaran logam berat, yang secara umum lebih tinggi di perairan kota dan di sisi utara, dapat diduga selaras dengan tekanan antropogenik. Limpasan material antropogenik dari area industri, komersial, dan urban, telah diketahui menjadi sumber cemaran logam berat (Abadi, Zamani, Parizanganeh, Khosravi, & Badiee, 2018). Perairan kota dan sisi utara adalah lokasi yang berbatasan langsung dengan Pelabuhan Kejawanan dan permukiman penduduk.…”

Section: Hasil Dan Pembahasanunclassified

Komposisi Asam Amino sebagai Penanda Kimia dari Akumulasi Logam Berat di Biota Kerang Hijau (Perna viridis)

Januar

Hermana

Dwiyitno

2020

JPBKP

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Logam berat merupakan variabel penting dalam penelaahan keamanan produk kekerangan. Namun, kuantifikasinya membutuhkan tingkat kesiapan analis dan peralatan laboratorium yang modern. Hal ini mendorong usulan berbagai metode penapisan High-throughput Screening seperti komposisi asam amino, sebagai penanda kimia pada penapisan tahap awal dari kontaminasi logam berat di biota kekerangan. Penelitian ini bertujuan untuk mengetahui fisibilitas komposisi asam amino yang terkandung pada produk kekerangan, sebagai penanda kimia akumulasi logam berat. Biota kerang bernilai ekonomis, yaitu kerang hijau (Perna viridis), dipilih sebagai target yang diambil dari tiga lokasi budidaya di Perairan Cirebon (sisi utara, perairan kota, dan sisi timur). Kadar logam berat (Cr, Co, Cu, As, Cd, Hg, dan Pb) dianalisis mempergunakan ICP-MS (Inductively Coupled Plasma-Mass Spectrometry), sementara kandungan asam amino ditelaah dengan kromatografi gas yang dilengkapi Flame Ionization Detector (FID). Hasil pengujian memperlihatkan bahwa kadar tertinggi dari tiap logam berat pada P. viridis adalah 0,25 mg/kg (Cr); 0,2 mg/kg (Co); 2,1 mg/kg (Cu); 1,5 mg/kg (As); 0,25 mg/kg (Cd); 0,25 mg/kg (Hg); dan 0,1 mg/kg (Pb). Nilai ini masih memenuhi persyaratan baku mutu, kecuali kadar arsen. Pengujian statistika korespondensi menunjukkan bahwa kadar asam amino kerang hijau dapat mengalami pergeseran komposisi yang tergantung pada tipe, variasi, dan kuantifikasi akumulasi logam beratnya. Oleh karena itu, tidak ada satupun jenis asam amino tertentu yang dapat dijadikan sebagai penanda kimia umum dari akumulasi berbagai jenis logam berat. Penelitian lebih lanjut dapat dilakukan untuk menemukan faktor pembanding menggunakan senyawa tertentu yang dapat melengkapi rasio komposisi asam amino sebagai penanda kimia dari akumulasi logam berat pada biota kekerangan.ABSTRACTHeavy metals are important factor in the food safety analysis of marine mussels. However, heavy metal quantification requires factors an adequate analyst and modern laboratory equipment. Therefore, various high throughput screening methods have been proposed, such as the composition of amino acids as a marker in a preliminary screening of heavy metal contamination in marine mussels. This study aimed to determine the feasibility of amino acids composition in marine mussels as a chemical marker of heavy metal accumulation. The commercial marine mussels, Green Mussels (Perna viridis), were collected from three aquaculture sites in Cirebon Waters (north side, in front of the city, and east side). Heavy metals content (Cr, Co, Cu, As, Cd, Hg, and Pb) was analyzed by ICP-MS (Inductively Coupled Plasma-Mass Spectrometry) technique while the amino acids content was analyzed using gas chromatography with Flame Ionization Detector (FID). Results of this study showed that the maximum value of each heavy metal in P. viridis were 0.25 mg/kg (Cr); 0.2 mg/kg (Co); 2.1 mg/kg (Cu); 1.5 mg/kg (As); 0.25 mg/kg (Cd); 0.25 mg/kg (Hg); and 0.1 mg/kg (Pb). Except for arsenic, these values were below the allowable threshold level. Correspondence analysis showed that the composition of amino acids in the green mussels was shifted, according to the type, variation, and quantification of the accumulated heavy metals. Therefore, none of the amino acids can be used as a general chemical marker for various types of heavy metals. Further research can be done to identify a particular comparative compound that can complement the ratio of amino acids composition as biomarkers for heavy metals accumulation in marine mussels.

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Heavy metals and arsenic content in water along the southern Caspian coasts in Iran

Cited by 36 publications

References 40 publications

Comprehensive health risk analysis of heavy metal pollution using water quality indices and Monte Carlo simulation in R software

Comprehensive health risk analysis of heavy metal pollution using water quality indices and Monte Carlo simulation in R software

The association of arsenic exposure with mortality due to cancer, diabetes, Alzheimer's and congenital anomalies using Poisson regression

Komposisi Asam Amino sebagai Penanda Kimia dari Akumulasi Logam Berat di Biota Kerang Hijau (Perna viridis)

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