Determination of heavy metals in edible vegetables and a human health risk assessment

Sadee, Bashdar A.; Ali, Rasul Jameel

doi:10.1016/j.enmm.2022.100761

Cited by 11 publications

(7 citation statements)

References 58 publications

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“…Following the previous report, we collected soil and red amaranth from our target sites [ 34 ]. Like water, we randomly collected 75 soil and vegetable specimens (15 per village).…”

Section: Methodsmentioning

confidence: 99%

Errors in agricultural practices increase the toxicity of heavy metals in the food chain at Ishwardi Upazila in Bangladesh

Sheema,

Hosen,

Shimki

et al. 2024

Heliyon

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“…Following the previous report, we collected soil and red amaranth from our target sites [ 34 ]. Like water, we randomly collected 75 soil and vegetable specimens (15 per village).…”

Section: Methodsmentioning

confidence: 99%

Errors in agricultural practices increase the toxicity of heavy metals in the food chain at Ishwardi Upazila in Bangladesh

Sheema,

Hosen,

Shimki

et al. 2024

Heliyon

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“…2.3 Health risk assessment 2.3.1 Estimated daily intake. Estimated daily intake (EDI) (mg/kg body weight/day) was calculated for Pistacia species consumption of As, Cd, Zn, Hg, Cr, Mn, Pb, Fe, Co, Al, Cu, Ni and Se using equation (1) (Taghizadeh et al, 2017;Sadee and Ali, 2023;Chamannejadian et al, 2013):…”

Section: Data Extractionmentioning

confidence: 99%

Health risk assessment of the concentration of heavy metals in Pistacia species: a global systematic review

Asadi Touranlou,

Raeesi,

Rezaei

2024

NFS

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Purpose This study aims to systematically review the health risk assessment of the concentration of heavy metals in Pistacia species globally. Design/methodology/approach The authors systematically searched PubMed, Science Direct, Scopus and Google Scholar to identify all articles published between 1 January 2002 and 20 August 2022. A total of 33 studies met the authors’ inclusion criteria, and their data were extracted. Additionally, the potential risk to human health was assessed by calculating the target hazard quotient and hazard index for both child and adult consumers. Findings The estimated daily intake for heavy metals in the included studies ranged from 9.72 × 10–9 to 7.35 (mg/day) in the following order: zinc (Zn) > mercury (Hg) > iron (Fe) > lead (Pb) > copper (Cu) > aluminum (Al) > nickel (Ni) > chromium (Cr) > manganese (Mn) > cadmium (Cd) > arsenic (As) > selenium (Se) > cobalt (Co). Among the studies that investigated heavy metals in Pistacia species around the world, the non-carcinogenic risk for all species of Pistacia was determined to be less than 1, except for Pb and Hg in Pistacia lentiscus. Originality/value The soil near the industrial area contained excessive amounts of heavy metals, which led to the transfer of heavy metals to plants. Owing to the insufficiency of the number of studies that examined heavy metals in Pistacia species, further monitoring and investigations were recommended.

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“…Here, we also employed principal component analysis (PCA) for discovering prevalent patterns in data distribution, and normal distribution, leading to a reduction of the initial dimension of data sets using SPSS 27.0 software (30). Thus, quality control of edible products from different region is an important component of food supply in our dietary regimen (31). Furthermore, the food product sourced region in this study is considered to be geographically known for high metalloid contamination.…”

Section: Introductionmentioning

confidence: 99%

ICP-MS-based quantitative analysis of multi-elements in commonly edible products using different microwave-assisted acid extraction (MW-AAE) methods

POTHURAJU,

Jagdale

et al. 2023

Preprint

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This study quantified 13 hazardous heavy metals in 24 edible products, sourced from Bihar, Uttar Pradesh, and West Bengal regions of India. An inductively coupled plasma-mass spectrometry (ICP-MS) was used for determining the 13 elements of ICH3D document including Class 1 (Arsenic, Cadmium, Lead), Class 2A (Cobalt, Vanadium, Nickle), Class 2B (Thallium, Palladium, Selenium, Silver), and Class 3 (Barium, Copper, Chromium). The certified reference material of 29-Analyte /IMS-102 peach leaves was used for validating the digestion procedure. The elements were extracted from food products using different microwave assisted acid extraction (MW-AAE) procedures viz. method A, B, and C under closed conditions. The ICP-MS conditions demonstrated more sensitive detection for cd (0.009 ppb), Co (0.0098 ppb), Ti (0.0049 ppb) and Ag (0.0006 ppb) and recorded more than 50 ppt (0.05 ppb) for As, Pb, Ni, V, Se and Ba with acceptable BEC levels in the linearity range of 0.1 to 2000 ppb (r2 > 0.9). The precision % RSD and the % recovery (IS: Y, Tb, Sc) for all food products was acceptable. Among the digestion methods, the method A demonstrated more superior detection to Cd, V, Ag, Cu, Ba and Cr, whilst method B detected Thallium. Both methods B and C were equally detected As and Pd. All digestions afforded Pb, Co, Ni, Th and Cu at precise levels. Amongst the elements, Hg, V, Ni, Pd, TI, Pt, and Sb were below the permissible limits whilst As, Pb, Cd, Se, Cr, Cu, Co, Ba, Mo and Ag, were above the limits. The principal component analysis for comparison of digestion procedures revealed that the method-A digestion afforded better extraction for sensitive detection, nevertheless correlation was significant for elements detection from methods A, B, and C.

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Determination of heavy metals in edible vegetables and a human health risk assessment

Cited by 11 publications

References 58 publications

Errors in agricultural practices increase the toxicity of heavy metals in the food chain at Ishwardi Upazila in Bangladesh

Errors in agricultural practices increase the toxicity of heavy metals in the food chain at Ishwardi Upazila in Bangladesh

Health risk assessment of the concentration of heavy metals in Pistacia species: a global systematic review

ICP-MS-based quantitative analysis of multi-elements in commonly edible products using different microwave-assisted acid extraction (MW-AAE) methods

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