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Kaihong Yan
Global Centre for Environmental Remediation, the Faculty of Science and Information Technology, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia.

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Journal article
Published: 30 April 2018 in International Journal of Environmental Research and Public Health
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Chronic exposure to arsenic (As) is a global concern due to worldwide exposure and adverse effects, and the importance of incorporating bioavailability in the exposure assessment and risk assessment of As is increasing acknowledged. The bioavailability of As is impacted by a number of soil properties, such as pH, clay and metal concentrations. By retrieving 485 data from 32 publications, the aim of this study was to determine the relationship between selected metals (Fe and Al) and As bioavailability. In present study, the bioaccessibility (BAC) data measured by in vitro approaches were converted into bioavailability data based on the previously determined relationship between BAC and bioavailability. The As relative bioavailability (RBA) was summarized to be 24.36 ± 18.49%, which is in the range previously reported. A significant association between Fe concentration and the bioavailability of As was observed while this association varied for different types of RBA data. This disparity may suggest a non-reliable association between Fe and As bioavailability. The correlations between logarithmically transformed total content of Fe + Al and As bioavailability is then outlined: RBA = (−8.40 ± 1.02) × Ln(Fe + Al) + (58.25 ± 4.09), R² = 0.25, p < 0.001, n = 212. Jackknife resampling was also applied to validate the relation between total content of (Fe + Al) and As bioavailability, which suggested that the relation is robust. This is the first pooled study to address the relations between selected metal concentrations and As bioavailability, which may provide some implications to establish soil properties-based RBA prediction for As.

ACS Style

Kaihong Yan; Ravi Naidu; Yanju Liu; Ayanka Wijayawardena; Luchun Duan; Zhaomin Dong. A Pooled Data Analysis to Determine the Relationship between Selected Metals and Arsenic Bioavailability in Soil. International Journal of Environmental Research and Public Health 2018, 15, 888 .

AMA Style

Kaihong Yan, Ravi Naidu, Yanju Liu, Ayanka Wijayawardena, Luchun Duan, Zhaomin Dong. A Pooled Data Analysis to Determine the Relationship between Selected Metals and Arsenic Bioavailability in Soil. International Journal of Environmental Research and Public Health. 2018; 15 (5):888.

Chicago/Turabian Style

Kaihong Yan; Ravi Naidu; Yanju Liu; Ayanka Wijayawardena; Luchun Duan; Zhaomin Dong. 2018. "A Pooled Data Analysis to Determine the Relationship between Selected Metals and Arsenic Bioavailability in Soil." International Journal of Environmental Research and Public Health 15, no. 5: 888.

Review
Published: 01 October 2017 in Chemosphere
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Lead (Pb) is a widespread heavy metal which is harmful to human health, especially to young children. To provide a human health risk assessment that is more relevant to real conditions, Pb bioavailability in soils is increasingly employed in the assessment procedure. Both in vivo and in vitro measurements for lead bioavailability are available. In vivo models are time- consuming and expensive, while in vitro models are rapid, economic, reproducible, and reliable while involving more uncertainties. Uncertainties in various measurements create difficulties in accurately predicting Pb bioavailability, resulting in the unnecessary remediation of sites. In this critical review, we utilised available data from in vivo and in vitro studies to identify the key parameters influencing the in vitro measurements, and presented uncertainties existing in Pb bioavailability measurements. Soil type, properties and metal content are reported to influence lead bioavailability; however, the differences in methods for assessing bioavailability and the differences in Pb source limit one’s ability to conduct statistical analyses on influences of soil factors on Pb bioavailability. The information provided in the review is fundamentally useful for the measurement of bioavailability and risk assessment practices

ACS Style

Kaihong Yan; Zhaomin Dong; Ayanka Wijayawardena; Yanju Liu; Ravi Naidu; Kirk Semple. Measurement of soil lead bioavailability and influence of soil types and properties: A review. Chemosphere 2017, 184, 27 -42.

AMA Style

Kaihong Yan, Zhaomin Dong, Ayanka Wijayawardena, Yanju Liu, Ravi Naidu, Kirk Semple. Measurement of soil lead bioavailability and influence of soil types and properties: A review. Chemosphere. 2017; 184 ():27-42.

Chicago/Turabian Style

Kaihong Yan; Zhaomin Dong; Ayanka Wijayawardena; Yanju Liu; Ravi Naidu; Kirk Semple. 2017. "Measurement of soil lead bioavailability and influence of soil types and properties: A review." Chemosphere 184, no. : 27-42.