Assessing the fractionation and bioavailability of heavy metals in soil–rice system and the associated health risk

Wang, Yuanyuan; Xu, Weiwei; Li, Jizhou; Song, Young-Chae; Hua, Ming; Li, Wenbo; Wen, Yubo; Li, Tianyuan; He, Xinxing

doi:10.1007/s10653-021-00876-4

Cited by 23 publications

(11 citation statements)

References 67 publications

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“…The PTEs can be absorbed by rice plants from the soil. Several studies have demonstrated the strong relationship between PTEs in the soil and in crops, including rice [39,41,47,49,93,94], which may explain the importance of SC in modeling PTE bioaccumulation in rice.…”

Section: Potential Dominators For Pte Bioaccumulation In Soil-rice Systemsmentioning

confidence: 99%

Predicting Bioaccumulation of Potentially Toxic Element in Soil–Rice Systems Using Multi-Source Data and Machine Learning Methods: A Case Study of an Industrial City in Southeast China

Xie

Zhu³

et al. 2021

Land

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Potentially toxic element (PTE) pollution in farmland soils and crops is a serious cause of concern in China. To analyze the bioaccumulation characteristics of chromium (Cr), zinc (Zn), copper (Cu), and nickel (Ni) in soil-rice systems, 911 pairs of top soil (0–0.2 m) and rice samples were collected from an industrial city in Southeast China. Multiple linear regression (MLR), support vector machines (SVM), random forest (RF), and Cubist were employed to construct models to predict the bioaccumulation coefficient (BAC) of PTEs in soil–rice systems and determine the potential dominators for PTE transfer from soil to rice grains. Cr, Cu, Zn, and Ni contents in soil of the survey region were higher than corresponding background contents in China. The mean Ni content of rice grains exceeded the national permissible limit, whereas the concentrations of Cr, Cu, and Zn were lower than their thresholds. The BAC of PTEs kept the sequence of Zn (0.219) > Cu (0.093) > Ni (0.032) > Cr (0.018). Of the four algorithms employed to estimate the bioaccumulation of Cr, Cu, Zn, and Ni in soil–rice systems, RF exhibited the best performance, with coefficient of determination (R2) ranging from 0.58 to 0.79 and root mean square error (RMSE) ranging from 0.03 to 0.04 mg kg−1. Total PTE concentration in soil, cation exchange capacity (CEC), and annual average precipitation were identified as top 3 dominators influencing PTE transfer from soil to rice grains. This study confirmed the feasibility and advantages of machine learning methods especially RF for estimating PTE accumulation in soil–rice systems, when compared with traditional statistical methods, such as MLR. Our study provides new tools for analyzing the transfer of PTEs from soil to rice, and can help decision-makers in developing more efficient policies for regulating PTE pollution in soil and crops, and reducing the corresponding health risks.

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Section: Potential Dominators For Pte Bioaccumulation In Soil-rice Systemsmentioning

confidence: 99%

Predicting Bioaccumulation of Potentially Toxic Element in Soil–Rice Systems Using Multi-Source Data and Machine Learning Methods: A Case Study of an Industrial City in Southeast China

Xie

Zhu³

et al. 2021

Land

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“…Riverine/flood plain soils There are six papers dealing with this first topic, riverine, flood plain soils: Wang et al (2020) assessed the fractionation and bioavailability of potential toxic elements (PTE) in soil-rice system and the associated health risk from the Yangtze River Delta, China. Results show that the mobility of PTE was in the order: Cd [ Pb = Zn [ Ni [ As = Cr [ Hg. Transfer factors (TF) calculated by the ratios of specific fractions of PTE in the soilrice system were used to assess the capacity of different PTE fraction transfer from soil to rice.…”

Section: Research Topicsmentioning

confidence: 99%

Soil contamination and human health: recent contributions

Bech

2021

Environ Geochem Health

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“…Sequential fractionation techniques are being used increasingly to provide more useful assessments of soil contamination status before and after remediation (Wang et al, 2021;Farrag, 2020;Saleem et al, 2018;Soliman et al, 2018). In addition, fractionation of inorganic contaminants is a fairly used technique to understand the mechanism(s) of PTEs distribution in soil ecosystems and to help assess bioavailability of trace metals in soil ecosystems.…”

Section: Bioavailability Of Ptes In Remediated Soil Ecosystems As Aff...mentioning

confidence: 99%

Assessing the Remediation of a Contaminated Soil Ecosystem With Some Recent Chemo Biological Technologies Throgh Bioremediation Index

Mansour¹,

Saber²,

Kabary³

et al. 2022

Journal of Pharmaceutical Negative Results

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In a soil ecosystem irrigated with low-quality water out at El-Rahway village, Giza Governorate, Egypt, a completely randomized field trial was carried out to assess the suitability of some soil biochemical remediation technologies on minimizing the inorganic contaminants hazards, their bioavailability as well as the relationship between potential toxic elements (PTEs) distribution in remediated soil ecosystem, the bioavailability index (BI) and pollutants uptake by cultivated hyperaccumulated plants. Turnip Brassica rapa and radish Raphanus sativus were separately cultivated in the contaminated after being enriched with elemental sulfur (T1), elemental sulfur fortified with a mixture of Thiobacillus Thiooxidans and Thiobacillus ferrooxidans (T2), rock phosphate impregnated with phosphate dissolving bacteria (PDB) (T3), bentonite inoculated with Pseudomonas fluorescence (T4), kaolinite associated with Pseudomonas fluorescence (T5), sulfur mixed with rock phosphate and inoculated with a mixture of Thiobacillus thiooxidans, Thiobacillus ferrooxidans and phosphate dissolving bacteria (PDB) (T6), a mixture of bentonite and kaolinite inoculated with Pseudomonas fluorescence (T7) and a combined mixture of bentonite, kaolinite and rock phosphate inoculated with Pseudomonas fluorescence and phosphate dissolving bacteria (PDB) (T8), as well as control treatments represented by cultivated untreated soil ecosystem.Results implied that the concentration of most contaminants was found in F6 (Residual form) in control cultivated, decreased, T1, T2, and increased in the treatments supplied with modified clay minerals. Results also emphasized that T8 is the best management practice in the remediation of targeted inorganic contaminants grown in a contaminated soil ecosystem cultivated with radish or turnip plants that showed the lowest values compared to other trailed treatments. The combination of phytoremediation and chemo-biological techniques was very effective in minimizing the hazards of PTEs bioavailability and the distribution of the inorganic contaminants, and BI was verified to be promising tools in evaluating soil remediation.

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Assessing the fractionation and bioavailability of heavy metals in soil–rice system and the associated health risk

Cited by 23 publications

References 67 publications

Predicting Bioaccumulation of Potentially Toxic Element in Soil–Rice Systems Using Multi-Source Data and Machine Learning Methods: A Case Study of an Industrial City in Southeast China

Predicting Bioaccumulation of Potentially Toxic Element in Soil–Rice Systems Using Multi-Source Data and Machine Learning Methods: A Case Study of an Industrial City in Southeast China

Soil contamination and human health: recent contributions

Assessing the Remediation of a Contaminated Soil Ecosystem With Some Recent Chemo Biological Technologies Throgh Bioremediation Index

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