The occurrence and probabilistic risk assessment of 3-MCPDEs and GEs in infant formulas from Chinese market employing Monte Carlo simulation technique.


Journal

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
ISSN: 1873-6351
Titre abrégé: Food Chem Toxicol
Pays: England
ID NLM: 8207483

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 21 05 2023
revised: 28 07 2023
accepted: 29 07 2023
medline: 7 9 2023
pubmed: 3 8 2023
entrez: 2 8 2023
Statut: ppublish

Résumé

3-monochloropropane-1,2-diol esters (3-MCPDEs) and glycidyl esters (GEs) are food contaminants and have arisen continuous attention due to their toxicity, especially towards infants. Current risk assessment of these contaminants was mostly employing deterministic approaches, lacking quantitative characterization of the likelihood, incidence, or severity of the risks involved. Herein, 3-MCPDE and GE levels in 46 representative infant formulas (IFs) from Chinese market were determined by GC-MS/MS. Then, combining the occurrence data and consumption data from China National Food Consumption Survey, the Monte Carlo simulation-based probabilistic model for risk assessment of 3-MCPDEs and GEs in IFs from Chinese market was established. The results showed that all P90 (90th percentiles) hazard quotient values were below 1, demonstrating 3-MCPDEs didn't pose health risks to most populations aged 0-36 months old. However, for 0-12 months old groups, P10 (10th percentiles) margin of exposure values were all below 25000, indicating GEs may pose potential risks to 10% of this group. Uncertainty analysis revealed that the probabilistic model had considered uncertainties of model input and distribution, and realized refined assessment. This study is the first report on probabilistic assessment of 3-MCPDEs and GEs in IFs, which also provided references for the formulation of related regulatory limits in China.

Identifiants

pubmed: 37532171
pii: S0278-6915(23)00380-0
doi: 10.1016/j.fct.2023.113978
pii:
doi:

Substances chimiques

Esters 0
3-monochloropropane-1, 2 diol ester 0
alpha-Chlorohydrin 96-24-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113978

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Zhengchao Shen (Z)

College of Chemistry, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.

Kexin Tian (K)

School of Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA.

Muhammad Mujahid Ali (MM)

College of Chemistry, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.

Sifan Mei (S)

College of Chemistry, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.

Xin Ma (X)

College of Chemistry, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.

Jiang Liang (J)

NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, 100022, People's Republic of China.

Feng Pan (F)

NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, 100022, People's Republic of China.

Jianwen Li (J)

NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, 100022, People's Republic of China.

Haixia Sui (H)

NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, 100022, People's Republic of China. Electronic address: suihaixia@cfsa.net.cn.

Zhenxia Du (Z)

College of Chemistry, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China. Electronic address: duzx@mail.buct.edu.cn.

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Classifications MeSH