基于局部表面等离子体共振(LSPR)的比色和荧光纳米传感器在有机磷农药检测中的研究进展

IF 4 2区 农林科学 Q2 CHEMISTRY, APPLIED
Mahdieh Sheikh, Hajar Shekarchizadeh
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引用次数: 0

摘要

有机磷农药是使用最广泛的农药之一,由于其在水、土壤和食物中的持久性,构成重大的环境和健康风险。开发灵敏、快速、经济的检测方法对于确保食品安全和环境保护至关重要。利用等离子体纳米粒子(包括金、银和铜纳米结构)中的局部表面等离子体共振(LSPR)的比色和荧光光学纳米传感器,由于其快速响应、高灵敏度、选择性和实时监测能力,已成为OPP检测的有前途的工具。比色纳米传感器利用lspr诱导的可见光颜色变化,这些变化是由纳米颗粒聚集、反聚集、酶抑制、纳米颗粒生长或蚀刻机制引起的。相比之下,荧光纳米传感器利用等离子体相互作用来增强或淬灭荧光信号。本文综述了基于lsr的纳米传感器的最新进展,以及它们的检测机制、优点和局限性。此外,还探讨了这些传感器与新兴技术(如机器学习、基于智能手机的成像和基于纸张的平台)的潜在集成,以增强其现场适用性。解决现有的挑战,包括传感器的稳定性、选择性和大规模生产,将是开发具有实际应用于食品安全和环境监测的下一代农药检测系统的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent advances in localized surface plasmon resonance (LSPR)-based colorimetric and fluorescent nanosensors for the detection of organophosphorus pesticides
Organophosphate pesticides (OPPs) are among the most widely used pesticides, posing significant environmental and health risks due to their persistence in water, soil, and food. Developing sensitive, rapid, and cost-effective detection methods is crucial for ensuring food safety and environmental protection. Colorimetric and fluorescent optical nanosensors leveraging localized surface plasmon resonance (LSPR) in plasmonic nanoparticles, including gold, silver, and copper nanostructures, have emerged as promising tools for OPP detection due to their rapid response, high sensitivity, selectivity, and real-time monitoring capabilities. Colorimetric nanosensors leverage LSPR-induced visible color shifts resulting from nanoparticle aggregation, anti-aggregation, enzymatic inhibition, nanoparticle growth, or etching-based mechanisms. In contrast, fluorescent nanosensors utilize plasmonic interactions to enhance or quench fluorescence signals. This review critically examines recent advancements in LSPR-based nanosensors, their detection mechanisms, advantages, and limitations. Moreover, the potential integration of these sensors with emerging technologies, such as machine learning, smartphone-based imaging, and paper-based platforms, is explored to enhance their field applicability. Addressing existing challenges, including sensor stability, selectivity, and large-scale production, will be key to developing next-generation pesticide detection systems with real-world applications in food safety and environmental monitoring.
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
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