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

IF 7.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Critical reviews in food science and nutrition Pub Date : 2025-01-01 Epub Date: 2023-12-27 DOI:10.1080/10408398.2023.2290698
Xinru Yu, Hongbin Pu, Da-Wen Sun
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Abstract

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.

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食品新烟碱检测的发展:新型识别策略、先进的化学传感技术和最新应用。
新烟碱类杀虫剂(NEOs)是继有机磷类杀虫剂(OPPs)、氨基甲酸酯类杀虫剂(CBPs)和拟除虫菊酯类杀虫剂之后的一类新型神经毒性杀虫剂,主要用于果蔬、谷物和其他作物的害虫防治。然而,长期滥用和非法使用导致食物和水源受到污染,并对生态和环境系统造成破坏。长期接触近地物体可能会对动物(尤其是蜜蜂)甚至人类健康造成潜在风险。因此,有必要开发有效、可靠和快速的近地物体检测方法。基于特异性识别的化学传感因其出色的选择性、灵敏度和强大的抗干扰性,已被视为最有前途的近地物体检测工具之一。在本综述中,我们介绍了过去几年(2017-2023年)新型识别策略支持的化学传感在食品新烟碱类物质检测中的应用。详细讨论了分子印记识别(MIR)、宿主-宾客识别(HGR)、电子催化识别(ECR)、免疫识别(IR)、适配体识别(AR)和酶抑制识别(EIR)在新生物传感平台开发中的特性和优势。重点介绍了化学传感平台在果蔬、谷物、茶叶、蜂蜜、水产品等各种食品中的最新应用。此外,还讨论了在近地物体分析中应用具有特定识别策略的化学传感的未来趋势。
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来源期刊
CiteScore
22.60
自引率
4.90%
发文量
600
审稿时长
7.5 months
期刊介绍: Critical Reviews in Food Science and Nutrition serves as an authoritative outlet for critical perspectives on contemporary technology, food science, and human nutrition. With a specific focus on issues of national significance, particularly for food scientists, nutritionists, and health professionals, the journal delves into nutrition, functional foods, food safety, and food science and technology. Research areas span diverse topics such as diet and disease, antioxidants, allergenicity, microbiological concerns, flavor chemistry, nutrient roles and bioavailability, pesticides, toxic chemicals and regulation, risk assessment, food safety, and emerging food products, ingredients, and technologies.
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