Article, 2024

Bioaccessibility assessment of arsenic and cadmium in polished and unpolished rice: Comparison of three in vitro methods

Food Research International, ISSN 0963-9969, Volume 177, 10.1016/j.foodres.2023.113853

Contributors

Ma J. 0000-0001-6056-5618 [1] Yin N. (Corresponding author) [1] [2] Wang P. [1] [2] Cai X. [1] [2] Geng Z. [1] Fan C. [1] [2] Cui Y. 0000-0002-7805-1567 [1] [2] Sjodin A. 0000-0002-6451-3847 [3]

Affiliations

  1. [1] University of Chinese Academy of Sciences
  2. [NORA names: China; Asia, East];
  3. [2] Chinese Academy of Sciences
  4. [NORA names: China; Asia, East];
  5. [3] University of Copenhagen
  6. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

INFOGEST is a standardized in vitro digestion method suitable for foods, but rarely used to study the bioaccessibility of heavy metals in food. This study aimed to explore the differences between INFOGEST and the extensively used Physiologically Based Extraction Test (PBET) and Unified Bioaccessibility Research Group of Europe Method (UBM) methods for determining the bioaccessibility of As and Cd in rice. Intestinal As (79.3 ± 8.5 %, 75.8 ± 12.7 %, and 72.3 ± 12.2 % for INFOGEST, PBET, and UBM, respectively) and Cd (47.0 ± 6.4 %, 40.7 ± 13.8 %, and 38.1 ± 15.7 % for INFOGEST, PBET, and UBM, respectively) bioaccessibilities in the rice samples determined by the three methods were generally similar (p > 0.1, except for As bioaccessibility between INFOGEST and UBM). Furthermore, PBET was significantly correlated with INFOGEST for As bioaccessibility (R = 0.416) and with UBM for Cd bioaccessibility (R = 0.879). Additionally, PBET indicated that the bioaccessibilities of As and Cd in the polished rice were 17.0 % and 19.8 % higher, respectively, than that in the unpolished rice. This study highlights the influence of in vitro methods and rice matrices on heavy metal bioaccessibility values, necessitating a more accurate assessment of health risks associated with rice consumption.

Keywords

Brown rice, Heavy metals, INFOGEST, PBET, Rice matrices, UBM, White rice

Funders

  • National Natural Science Foundation of China

Data Provider: Elsevier