Developments in food neonicotinoids detection: novel recognition strategies, advanced chemical sensing techniques, and recent applications

被引:0
|
作者
Yu, Xinru [1 ,2 ,3 ,4 ]
Pu, Hongbin [1 ,2 ,3 ,4 ]
Sun, Da-Wen [1 ,2 ,3 ,4 ,5 ]
机构
[1] South China Univ Technol, Sch Food Sci & Engn, Guangzhou 510641, Peoples R China
[2] South China Univ Technol, Acad Contemporary Food Engn, Guangzhou Higher Educ Mega Ctr, Guangzhou 510006, Peoples R China
[3] Guangzhou Higher Educ Mega Ctr, Engn & Technol Res Ctr Guangdong Prov Intelligent, Guangzhou 510006, Peoples R China
[4] Guangzhou Higher Educ Mega Ctr, Guangdong Prov Engn Lab Intelligent Cold Chain Log, Guangzhou 510006, Peoples R China
[5] Natl Univ Ireland, Univ Coll Dublin, Agr & Food Sci Ctr, Food Refrigerat & Computerized Food Technol FRCFT, Dublin, Ireland
基金
中国国家自然科学基金;
关键词
Neonicotinoids; specific molecular recognition; chemical sensing; food safety; HUMAN EXPOSURE; LABEL-FREE; SENSOR; WATER; SERS; PESTICIDES; ELECTRODE; TOXICITY; RESIDUES; CARBON;
D O I
10.1080/10408398.2023.2290698
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Neonicotinoid insecticides (NEOs) are a new class of neurotoxic pesticides primarily used for pest control on fruits and vegetables, cereals, and other crops after organophosphorus pesticides (OPPs), carbamate pesticides (CBPs), and pyrethroid pesticides. However, chronic abuse and illegal use have led to the contamination of food and water sources as well as damage to ecological and environmental systems. Long-term exposure to NEOs may pose potential risks to animals (especially bees) and even human health. Consequently, it is necessary to develop effective, robust, and rapid methods for NEOs detection. Specific recognition-based chemical sensing has been regarded as one of the most promising detection tools for NEOs due to their excellent selectivity, sensitivity, and robust interference resistance. In this review, we introduce the novel recognition strategies-enabled chemical sensing in food neonicotinoids detection in the past years (2017-2023). The properties and advantages of molecular imprinting recognition (MIR), host-guest recognition (HGR), electron-catalyzed recognition (ECR), immune recognition (IR), aptamer recognition (AR), and enzyme inhibition recognition (EIR) in the development of NEOs sensing platforms are discussed in detail. Recent applications of chemical sensing platforms in various food products, including fruits and vegetables, cereals, teas, honey, aquatic products, and others are highlighted. In addition, the future trends of applying chemical sensing with specific recognition strategies for NEOs analysis are discussed.
引用
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页数:19
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