Next Article in Journal
Association of Insulin Resistance with Bone Strength and Bone Turnover in Menopausal Chinese-Singaporean Women without Diabetes
Next Article in Special Issue
Arsenic and Other Elemental Concentrations in Mushrooms from Bangladesh: Health Risks
Previous Article in Journal
Groundwater Flow Processes and Human Impact along the Arid US-Mexican Border, Evidenced by Environmental Tracers: The Case of Tecate, Baja California
Previous Article in Special Issue
Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA)
Open AccessArticle

A Pooled Data Analysis to Determine the Relationship between Selected Metals and Arsenic Bioavailability in Soil

Global Centre for Environmental Remediation, the Faculty of Science and Information Technology, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE), Callaghan, NSW 2308, Australia
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2018, 15(5), 888;
Received: 24 March 2018 / Revised: 23 April 2018 / Accepted: 26 April 2018 / Published: 30 April 2018
(This article belongs to the Special Issue Arsenic Contamination, Bioavailability and Public Health)
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. View Full-Text
Keywords: arsenic; bioavailability; soil properties; pooled study arsenic; bioavailability; soil properties; pooled study
Show Figures

Figure 1

MDPI and ACS Style

Yan, K.; Naidu, R.; Liu, Y.; Wijayawardena, A.; Duan, L.; Dong, Z. A Pooled Data Analysis to Determine the Relationship between Selected Metals and Arsenic Bioavailability in Soil. Int. J. Environ. Res. Public Health 2018, 15, 888.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop