Cultivation Base of Guangxi Key Laboratory for Agro-Environment and Agro-Products Safety, College of Agriculture, Guangxi University, Nanning 530004, China.
Department of Agriculture, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh.
J Hazard Mater. 2022 Feb 5;423(Pt A):126909. doi: 10.1016/j.jhazmat.2021.126909. Epub 2021 Aug 13.
Arsenic (As) contamination in vegetables is a severe threat to human health. However, the evaluation of As relative bioavailability (As-RBA) or bioaccessibility in vegetables is still unexplored. The study sought to evaluate the As-RBA in commonly consumed ten leaf vegetables collected from As-polluted farmlands. Additionally, the As-RBA was determined using rat bioassay and compared with As bioaccessibility through five commonly used in vitro methods, including UBM (Unified BARGE Method), SBRC (Solubility Bioavailability Research Consortium), DIN (Deutsches Institut für Normung e.V.), IVG (In Vitro Gastrointestinal), and PBET (Physiologically Based Extraction Test). Results showed that the As-RBA values were 14.3-54.0% among different vegetables. Notably, significant in vivo-in vitro correlations (IVIVC) were observed between the As-RBA and the As bioaccessibility determined by the PBET assay (r = 0.763-0.847). However, the other assays (r = 0.417-0.788) showed a comparatively weaker relationship. The estimation of As-RBA using derived IVIVC to assess As exposure risk via vegetable consumption confirmed that As exposure risk based on As-RBA was lower than that the total As concentrations. Therefore, it was concluded that PBET could better predict the As-RBA in vegetables than other in vitro assays. Furthermore, As-RBA values should be considered for accurate health risk assessment of As in vegetables.
蔬菜中的砷(As)污染对人类健康构成严重威胁。然而,蔬菜中砷的相对生物可给性(As-RBA)或生物利用度的评估仍未得到探索。本研究旨在评估从受砷污染农田采集的十种常见食用叶菜中的 As-RBA。此外,还通过大鼠生物测定法和五种常用的体外方法(包括 UBM、SBRC、DIN、IVG 和 PBET)来确定 As-RBA,并对其进行了比较。结果表明,不同蔬菜的 As-RBA 值在 14.3%至 54.0%之间。值得注意的是,As-RBA 与通过 PBET 测定的 As 生物利用度之间观察到显著的体内-体外相关性(IVIVC)(r = 0.763-0.847)。然而,其他方法(r = 0.417-0.788)的相关性较弱。通过衍生的 IVIVC 估算 As-RBA 来评估通过食用蔬菜摄入的砷暴露风险,证实了基于 As-RBA 的砷暴露风险低于总砷浓度。因此,可以得出结论,与其他体外测定法相比,PBET 能更好地预测蔬菜中的 As-RBA。此外,应考虑 As-RBA 值,以准确评估蔬菜中砷的健康风险。