Multi-residue analytical method development and dietary exposure risk assessment of 345 pesticides in mango by LC-Q-TOF/MS

被引:0
|
作者
Wu, Xingqiang [1 ]
Li, Jianxun [3 ]
Wei, Jing [2 ]
Tong, Kaixuan [1 ]
Xie, Yujie [1 ]
Chang, Qiaoying [1 ]
Yu, Xiaoxuan [1 ]
Li, Bei [2 ]
Lu, Meiling [4 ]
Fan, Chunlin [1 ]
Chen, Hui [1 ]
机构
[1] Chinese Acad Inspect & Quarantine, Key Lab Food Qual & Safety State Market Regulat, Beijing 100176, Peoples R China
[2] Hainan Inst Food Control, Key Lab Trop Fruits & Vegetables Qual & Safety Sta, Haikou 570314, Peoples R China
[3] Chinese Acad Agr Sci, Inst Food Sci & Technol, Beijing 100193, Peoples R China
[4] Agilent Technol China Ltd, Beijing 100102, Peoples R China
关键词
Mango; LC-Q-TOF/MS; QuEChERS; Pesticide residues; Risk assessment; VEGETABLES;
D O I
10.1016/j.foodcont.2024.111016
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Mango is attracting increasing global attention for its superior flavor and nutritional benefits. However, the use of pesticides has resulted in a threat to its quality, safety, and human health due to their inevitable residue. There is an urgent need for advanced technologies that can efficiently and sensitively analyze a wide range of pesticides. In this study, a high-throughput screening and quantification method for 345 pesticides in mango was established by applying a modified QuEChERS method combined with liquid chromatography-quadrupole-timeof-flight mass spectrometry (LC-Q-TOF/MS). A response surface methodology (RSM) optimized the critical parameters for extracting various pesticides in 1% acetic acid-acetonitrile (v/v) using MgSO4, PSA, C18, and GCB as the adsorbents. The proposed method was successfully validated and applied to the quantitative detection of pesticide residues in 73 mango samples from Hainan. The study found pesticide residues in 95.9% of mango samples, of which 3 samples had residue concentrations in excess of the Chinese maximum residue limit. A total of 24 pesticides were detected, with detection percentages ranging from 1.4% (Thiabendazole) to 41.1% (Pyraclostrobin). Considering the possible health risks related to pesticide residues, risk assessment of human exposure to pesticides via intake of mango was evaluated. The acute and chronic dietary exposure risks related to pesticide residues in mango were accepted. In conclusion, this study provides a powerful platform for monitoring multiple pesticides in mango. First, it can promote the rational use of pesticides, and second, it can help consumers to assess the risk of dietary exposure to pesticide residues.
引用
收藏
页数:9
相关论文
共 42 条
  • [31] Development and validation of a multi-residue method for determination of antimicrobial sulfonamides, macrolides and quinolones in Iranian feta cheese by SPE clean-up and LC-MS/MS
    Ghareghani, Shiva
    Goudarzi, Shokoufeh
    Amirahmadi, Maryam
    Kheirandish, Sara
    Ghafari, Homanaz
    Daraei, Bahram
    Ghazi-Khansari, Mahmoud
    INTERNATIONAL DAIRY JOURNAL, 2023, 137
  • [32] Development of a multi-residue analytical methodology based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) for screening and trace level determination of pharmaceuticals in surface and wastewaters
    Gros, Meritxell
    Petrovic, Mira
    Barcelo, Damia
    TALANTA, 2006, 70 (04) : 678 - 690
  • [33] Residue behaviour and dietary risk assessment of emamectin benzoate in mango under field condition using modified QuEChERS method combined with HPLC-MS/MS
    Bian, Yanli
    Wang, Boning
    Liu, Fengmao
    Chen, Fei
    Peng, Qingrong
    Wang, Yihan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2020, 100 (03) : 333 - 345
  • [34] Optimization of a QuEChERS-LC-MS/MS method for 51 pesticide residues followed by determination of the residue levels and dietary intake risk assessment in foodstuffs
    Su, Youzhi
    Lu, Jianjiang
    Liu, Jun
    Li, Fang
    Wang, Ning
    Lei, Hongqin
    Shen, Xiaofang
    FOOD CHEMISTRY, 2024, 434
  • [35] Residual levels and dietary exposure risk assessment of banned pesticides in fruits and vegetables from Chinese market based on long-term nontargeted screening by HPLC-Q-TOF/MS
    Liang, Shu-xuan
    Li, Hui
    Chang, Qiaoying
    Bai, Ruobin
    Zhao, Zhe
    Pang, Guo-fang
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2022, 248
  • [36] Method development and validation of gas chromatography coupled with triple quadrupole mass spectrometry (GC-MS/MS) for multi-residue analysis of 273 pesticides in fruits and vegetables using a QuEChERS approach
    Chen, Shanshan
    He, Zeying
    Liu, Xiaowei
    Wang, Wenwen
    Liu, Chang
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2014, 248
  • [37] Method development of multi pesticide residue analysis in country beans collected from Dhaka, Bangladesh, and their dietary risk assessment
    Bhuiya, Ananya
    Yasmin, Sabina
    Shaikh, Md Aftab Ali
    Mustafa, M. Golam
    Kabir, Humayun
    FOOD CHEMISTRY, 2024, 445
  • [38] Pesticide multi-residues in Dendrobium officinale Kimura et Migo: Method validation, residue levels and dietary exposure risk assessment
    Xu, Zhenlan
    Li, Lingxiangyu
    Xu, Yi
    Wang, Shanshan
    Zhang, Xiaoxia
    Tang, Tao
    Yu, Jianzhong
    Zhao, Huiyu
    Wu, Shenggan
    Zhang, Chunrong
    Zhao, Xueping
    FOOD CHEMISTRY, 2021, 343
  • [39] Method validation, residue behaviour and dietary risk assessment of insecticides (cyantraniliprole, acetamiprid, flubendiamide and its metabolite, des-iodo flubendiamide) in or on broccoli using LC-MS/MS
    Sharma, Sakshi
    Katna, Sapna
    Sharma, Ajay
    Istatu, Pankaj Sharma
    Devi, Nisha
    Kumar, Arvind
    Singh, Shubhra
    BIOMEDICAL CHROMATOGRAPHY, 2024, 38 (10)
  • [40] Comprehensive assessment of clean-up strategies for optimizing an analytical multi-method to determine pesticides and mycotoxins in Brazilian medicinal herbs using QuEChERS-LC-TQ-MS/MS
    Fontana, Marlos Eduardo Zorzella
    da Silva, Rosselei Caiel
    dos Santos, Ingrid Duarte
    Neu, Julia Paula
    Wouters, Robson Dias
    Babinski, Paola Jennifer
    Hoffmann, Jessica Fernanda
    Rossi, Rochele Cassanta
    Essi, Liliana
    Pizzutti, Ionara Regina
    ANALYTICAL METHODS, 2024, 16 (29) : 5082 - 5104