Heavy metals in paddy soil-rice systems of industrial and township areas from subtropical China: Levels, transfer and health risks

Lu, Anxiang; Li, Bingru; Li, Jing; Chen, Wei; Xu, Li

doi:10.1016/j.gexplo.2018.08.003

Cited by 57 publications

(25 citation statements)

References 44 publications

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“…Based on the ratios of heavy metal concentration in rice grains over 12 matched soil samples, the transfer factors TFgrain/soil were calculated (Table 4). The average TFgrain/soil had the trend Cd> Zn> Cu> Mn> Cr> As> Co> Pb which was similar to previous studies (Zeng et al, 2015;Lu et al, 2018;Mao et al, 2019) and As transfer ratio of 0.025 ± 0.018 is similar to the study in Yangtze river delta in China (0.020 ± 0.001; Mao et al (2019)).…”

Section: Transfer Of Potentially Toxic Elements In Rice Grainsupporting

confidence: 89%

Arsenic in Peruvian rice cultivated in the major rice growing region of Tumbes river basin

et al. 2020

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Arsenic (As) exposure from surface and groundwater in Peru is being recognised as a potential threat but there are limited studies on As in the food-chain and none on As in Peruvian rice. In this study, we have determined the As content in rice cultivated in the Tumbes river basin located in the northern province of Peru, an area known for extensive rice cultivation. We collected rice and soil samples from agricultural fields, soil was collected using grid sampling technique while rice was collected from the heaps of harvested crop placed across the fields. The average total As concentration in rice was 167.94 ± 71 µg kg-1 (n=29; range 68.39-345.31 µg kg-1). While the rice As levels were not highly elevated, the As content of few samples (n=7) greater than 200 µg kg-1 could contribute negatively to human health upon chronic exposure. Average concentration of As in soil was 8.63 ± 7.8 mg kg-1 (n=30) and soil to grain transfer factor was 0.025 ± 0.018 for 12 matched samples. Compared to our previous pilot study in 2006 (samples collected from the same agricultural fields but not from exact locations) there was a 41% decrease in As soil concentration in this study. Rice samples collected in 2006 (n=5) had a mean concentration of 420 ± 109 µg kg-1. Our data provides a baseline of rice grain As concentrations in Peruvian province of Tumbes and warrants further studies on factors affecting uptake of As by the rice varieties cultivated in Peru and any potential human health risks.

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Section: Transfer Of Potentially Toxic Elements In Rice Grainsupporting

confidence: 89%

Arsenic in Peruvian rice cultivated in the major rice growing region of Tumbes river basin

et al. 2020

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“…China is the world's largest producer of rice, and rice is the staple food for majority of the Chinese population, particularly in Southern China. Therefore, PTEs pollution in soil and their subsequent accumulation in these crops, and related health risks of human exposure have been extensively studied around the world [30][31][32][33][34][35].…”

Section: Introductionmentioning

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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“…e contents of heavy metals in rice roots were 1.23-43.76 times higher than those in the stems and leaves. Lu et al [67] found that the concentrations of Cd and Pb in paddy soils from industrial areas were significantly higher than those in soils from township areas and clean areas; however, these patterns were not observed in the Cd and Pb concentrations in the rice grains grown in these areas. e mean transfer factor of Cd was 0.742, which was the highest of all the selected metals.…”

Section: Accumulation and Transfer Factors In The Rice-soilmentioning

confidence: 96%

Health Risk Assessment of Heavy Metals in Soils before Rice Sowing and at Harvesting in Southern Jiangsu Province, China

Cheng

Xie

Chen

et al. 2020

Journal of Chemistry

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Rice, one of the most important staple crops in China, is easily contaminated by heavy metal pollution from industrial development. In this work, we systematically investigated the heavy metal (Cr, Cd, Pb, Zn, and Cu) and metalloid (Hg and As) concentrations in paddy soils and different rice tissues in southern Jiangsu Province, China. The potential ecological hazard index method and in vitro simulation test were used to evaluate the influence of heavy metals on local resident health. The results showed that, before rice sowing and at the harvesting period, the order of Eri values was EriCd>EriHg>EriAs>EriPb>EriCu>EriCr>EriZn. The low-risk index values (91.63 and 30.29) for the heavy metals indicated the low risk at the two stages in the study area based on the potential ecological hazard index. As determined with Tessier’s five-stage sequential extraction procedure, the proportions of the chemical speciation of the heavy metals were as follows: residual > organic matter-bound > iron-manganese oxide-bound > carbonate-bound > exchangeable. The order of the values of the accumulation and transfer factors was Cd (3.16) > Cu (0.42) > Zn (0.28) > Pb (0.25) > As (0.07) > Cr (0.04) > Cr (0.03) and root > stem > leaves, respectively. In vitro simulation tests showed that, in both adults and children, the daily amount of Pb and Cd intake through the soil-oral cavity route in the study area did not exceed the daily tolerance for Pb and Cd proposed by the WHO. In summary, although there is no obvious danger to local adults and children, it is necessary to be aware of the possibility of rice contamination from Cd in the soil.

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Heavy metals in paddy soil-rice systems of industrial and township areas from subtropical China: Levels, transfer and health risks

Cited by 57 publications

References 44 publications

Arsenic in Peruvian rice cultivated in the major rice growing region of Tumbes river basin

Arsenic in Peruvian rice cultivated in the major rice growing region of Tumbes river basin

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

Health Risk Assessment of Heavy Metals in Soils before Rice Sowing and at Harvesting in Southern Jiangsu Province, China

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