Heavy Metal Accumulation in Maize and Wheat in Acidic Soil: A Comparative Study DOI Open Access
Xiaorou Wang,

Pengchao Lv,

Fujin Zhang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2084 - 2084

Published: Feb. 28, 2025

Maize and wheat grains are at significant risk of accumulating excessive heavy metals in acidic soils, but relatively few comparative studies have been conducted on the two. This study employed Spearman correlation analysis, random forest modeling, structural equation modeling to systematically investigate interdependences between soil properties metal accumulation (Cd, Cr, As, Pb, Hg) cereal grains. The results revealed distinct patterns content sequences maize grains: exhibited Cr > Pb As Cd Hg, while followed Hg. Bioconcentration factor (BCF) differed significantly, showing Hg versus wheat. Soil cation exchange capacity demonstrated strongest influence both crops. Arsenic mechanisms displayed species-specific dependencies, with primarily regulated by organic matter clay content. Notably, a positive (p ≤ 0.05) concentrations was observed crops, suggesting potential homologous pollution sources. These findings elucidate crop-specific governed physicochemical properties. demonstrates that under similar growing conditions, (BCF = 0.068) exhibits weaker ability accumulate compared 0.467). Moreover, showed responses properties, particularly their Cd. By addressing contamination this work supports development safer agricultural practices improved crop quality control.

Language: Английский

PGPR-Enabled bioremediation of pesticide and heavy metal-contaminated soil: A review of recent advances and emerging challenges DOI
Indu Sharma, Shivika Sharma, Vikas Sharma

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 362, P. 142678 - 142678

Published: June 21, 2024

Language: Английский

Citations

18

Multi-element analysis of spices by inductively coupled plasma mass spectrometry and human risk assessment in the Rabat-Salé-Témara area (Morocco) DOI

Mourad El Youssfi,

M. Flayou,

Zineb Lakhlifi El Idrissi

et al.

Journal of Food Composition and Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 107235 - 107235

Published: Jan. 1, 2025

Language: Английский

Citations

3

Edaphic factors mediate the response of nitrogen cycling and related enzymatic activities and functional genes to heavy metals: A review DOI Creative Commons

Tracy Opande,

Mengru Kong,

Di Feng

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 290, P. 117766 - 117766

Published: Jan. 1, 2025

Language: Английский

Citations

3

Geographic Information System and Multivariate Analysis Approach for Mapping Soil Contamination and Environmental Risk Assessment in Arid Regions DOI Creative Commons
Abdelbaset S. El‐Sorogy, Khaled Al‐Kahtany, Talal Alharbi

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 221 - 221

Published: Jan. 22, 2025

Heavy metal contamination in soil is a global issue threatening human health and ecosystems. Accurate spatial maps of heavy metals (HMs) are vital to mitigating the adverse effects on ecosystem. This study utilizes GIS multivariate analysis evaluate HMs agricultural soils from Al Ghat Governorate, Saudi Arabia, analyzing Al, As, Co, Cr, Cu, Fe, Mn, Ni, Pb, V, Zn using ICP-AES 35 samples. Methods included factor (CF), enrichment (EF), risk index (RI), geoaccumulation (Igeo), pollution load (PLI), quality guidelines (SQGs), analysis. The soils, characterized by sandy texture, low organic matter, alkalinity due arid conditions high calcium carbonate, had following HM concentrations (mg/kg) descending order: Fe (11,480) ˃ (7786) Mn (278) (72.37) Ni (28.66) V (21.80) Cr (19.89) Co (19.00) Cu (12.46) Pb (5.46) As (2.69). EF, CF, Igeo suggest natural sources for most HMs, predominantly sedimentary sequence, with localized Zn, linked mixed influences. PLI RI indicated acceptable levels, posing no ecological risk. All samples fell below SQG thresholds confirming minimal threat. Statistical highlighted cover as primary source, activities contributing levels.

Language: Английский

Citations

2

Source apportionment, ecological and toxicological risk assessment of trace metals in agricultural soils of Wabane, South West Region, Cameroon DOI Creative Commons

Guedjeo Christian Suh,

Ngambu Aloysius Afahnwie,

Anicet Feudjio Tiabou

et al.

Journal of Trace Elements and Minerals, Journal Year: 2025, Volume and Issue: unknown, P. 100218 - 100218

Published: Feb. 1, 2025

Language: Английский

Citations

2

Heavy Metal Contamination in Vegetables and Associated Health Risks DOI Creative Commons

Precious Joseph Alegbe,

Miriam Appiah-Brempong, Esi Awuah

et al.

Scientific African, Journal Year: 2025, Volume and Issue: unknown, P. e02603 - e02603

Published: Feb. 1, 2025

Language: Английский

Citations

2

Application of machine learning methods to predict the immobilization rate of heavy metal contaminated soils by alkaline solid waste DOI

Chengbo Ju,

Xin Xu, Qing Wang

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 116064 - 116064

Published: March 1, 2025

Language: Английский

Citations

2

Impact of short-term soil disturbance on cadmium remobilization and associated risk in vulnerable regions DOI Creative Commons

Zhong Zhuang,

Qi Hao,

Siyu Huang

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 289, P. 117699 - 117699

Published: Jan. 1, 2025

A comprehensive understanding of cadmium (Cd) migration in soils near contaminated hotspots is crucial for optimizing remediation efforts and ensuring crop health. This study investigates agricultural from four sites mining sewage-irrigation areas, assessing the impact inorganic organic fertilizer application on soil Cd remobilization. Results revealed that fertilization, particularly with mineral phosphorus, disrupts stability, substantially increases short-term mobility vulnerable regions. Random Forest analysis identified elevated dissolved matter pH changes as key drivers Monte Carlo simulation, integrating Michaelis-Menten reaction kinetics model, further accessed potential risk The model predicted probabilities grain exceeding thresholds ranged 021.6 % rice, 13.8 %100 wheat, 084.2 maize absence use. Fertilization significantly increased these exceedance by 6.1 %87.4 %, highest risks observed irrigation-contaminated soils, under phosphorus fertilization. Nevertheless, it recommended while fertilization can elevate remobilization hotspots, strategies might not always be necessary. highlights hybrid data-driven approaches, combining machine learning, mechanistic stochastic prediction to simplify complex environmental process, allowing integrated evaluations.

Language: Английский

Citations

1

Pollution and ecological risk assessment of heavy metals in anthropogenically-affected soils of Sudan: A systematic review and meta-analysis DOI Creative Commons

Magboul M.S. Siddig,

Stephen Boahen Asabere, Abdullah S. Al-Farraj

et al.

Journal of Hazardous Materials Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100601 - 100601

Published: Jan. 1, 2025

Language: Английский

Citations

1

A general methodological framework for predicting and assessing heavy metal pollution in paddy soils using machine learning models DOI Creative Commons

Unurnyam Jugnee,

Le Jiao,

Sainbayar Dalantai

et al.

Heliyon, Journal Year: 2025, Volume and Issue: unknown, P. e42619 - e42619

Published: Feb. 1, 2025

Language: Английский

Citations

1