Effects of environment and genotype on mercury and methylmercury accumulation in rice (Oryza sativa L.)

Luo, Bing; Tam, Nora Fung-Yee; Wang, Xun; Ye, Zhihong

doi:10.1007/s11104-018-3651-4

Cited by 10 publications

(2 citation statements)

References 51 publications

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“…In this study, the prediction models for THg rice and MeHg rice in Table 2 and 3, the soil pH, OM content and clay content were considered as the main soil factors controlling the Hg methylation and accumulation process. Soil with low pH could promote Hg methylation in soil and Hg accumulation in brown rice because soil with low pH could release more H + ion, which would increase the dissolution and bioavailability of Hg (Fairbrother et al 2007;Huang et al 2018). Therefore, the activation of Hg was higher in a soil with lower pH, and Hg in such a soil would be more available for microbes performing methylation (Golding et al 2008;Pestana et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Main Controlling Factors and Empirical Models for Total Mercury and Methylmercury Accumulation in Rice (Oryza Sativa L.)

Wang

Zhou

et al. 2022

Preprint

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It has been reported that rice consumption is the main mercury (Hg) exposure pathway for humans, and soil properties could significantly affect the methylation and accumulation process of Hg in soil-rice system. In this study, 19 paddy soil with various properties were spiked with exogenous Hg(II) at three concentration levels to conduct a pot experiment after a 60-days aging period. Stepwise multiple linear regression was applied to determine the controlling soil factors and develop prediction models for the methylmercury (MeHg) concentration in soil and total Hg (THg) and MeHg in brown rice. The results showed that THg in brown rice was positively correlated with THg in soil, while it had a negative correlation with soil pH and clay content. Soil organic matter (OM) promoted Hg methylation and inhibited the accumulation of MeHg in brown rice. Soil pH and clay content were negative factors when soil MeHg was used to predict MeHg in brown rice. THg and MeHg in brown rice could be well predicted by soil THg, pH and clay content. These results may provide a theoretical basis for safe production of rice in Hg contaminated paddy field.

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Section: Discussionmentioning

confidence: 99%

Main Controlling Factors and Empirical Models for Total Mercury and Methylmercury Accumulation in Rice (Oryza Sativa L.)

Wang

Zhou

et al. 2022

Preprint

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“…The concentrations of macro and trace elements and potentially toxic elements differed among the pericarps of the 19 Z. bungeanum cultivars. Variations in element levels in the crop may be linked to different management, climates, soils and tree genotype 20,29,30 . For this study, the Z. bungeanum trees were grown in a single experimental field and, therefore, they shared the same climate, soil, management and harvest times.…”

Section: Discussionmentioning

confidence: 99%

Use of mineral element profiling coupled with chemometric analysis to distinguish Zanthoxylum bungeanum cultivars and health risks of potentially toxic elements in pericarps

Wang

Huang

et al. 2021

J Sci Food Agric

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BACKGROUND Zanthoxylum bungeanum pericarps (ZBP) are commonly used as food additives and traditional herbal medicines. Several mineral elements are known to have important physiological functions in organisms, whereas others are reported to have toxic effects. We determined levels of macro elements (Mg, S and Ca), essential trace elements (B, Mn, Fe, Cu, Zn, Se and Mo) and toxic elements (Ni, Al, Cr, As, Cd, Hg and Pb) in the pericarps of 19 Z. bungeanum cultivars. Hazard index values and incremental lifetime cancer risks were calculated to express health risks associated with pericarp consumption. Moreover, several chemometric analyses based on the mineral elements were used to distinguish Z. bungeanum cultivars. RESULTS The concentrations of 17 determined elements in the pericarps were ranked: Ca > Mg > S > Fe > Al > Mn > Zn > B > Cu > Ni > Pb > Cr > Mo > As > Cd > Hg > Se. The elements Zn, Cr and As had the highest variations in their concentrations. Cu, Mn, Se, Zn, Al, As, Cd, Cr, Hg, Ni and Pb posed some non‐cancer risks, while As and Cd posed cancer risks. Mn, Fe, Zn, and Al were chosen as critical element markers for assessing ZBP using chemometric analyses. CONCLUSION Chemometric analyses could highlight mineral concentration differentiation among the 19 cultivars. The Z. bungeanum cultivar Z12 (from Wudu, Gansu) is best for producing ZBP, and cultivar Z18 (Guanling, Guizhou) can be a reference to classify and evaluate ZBP quality. The results provide valuable information for evaluating the potential safety risks of ZBP and contribute to inter‐cultivar discrimination. © 2021 Society of Chemical Industry.

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Controlling Factors and Predictive Models of Total Mercury and Methylmercury Accumulation in Rice (Oryza sativa L.) from Mercury-Contaminated Paddy Soils

Wang

Zhou

et al. 2023

Bull Environ Contam Toxicol

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Effects of environment and genotype on mercury and methylmercury accumulation in rice (Oryza sativa L.)

Cited by 10 publications

References 51 publications

Main Controlling Factors and Empirical Models for Total Mercury and Methylmercury Accumulation in Rice (Oryza Sativa L.)

Main Controlling Factors and Empirical Models for Total Mercury and Methylmercury Accumulation in Rice (Oryza Sativa L.)

Use of mineral element profiling coupled with chemometric analysis to distinguish Zanthoxylum bungeanum cultivars and health risks of potentially toxic elements in pericarps

Controlling Factors and Predictive Models of Total Mercury and Methylmercury Accumulation in Rice (Oryza sativa L.) from Mercury-Contaminated Paddy Soils

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