{"title":"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","authors":"Mahdieh Sheikh, Hajar Shekarchizadeh","doi":"10.1016/j.jfca.2025.107653","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107653"},"PeriodicalIF":4.0000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recent advances in localized surface plasmon resonance (LSPR)-based colorimetric and fluorescent nanosensors for the detection of organophosphorus pesticides\",\"authors\":\"Mahdieh Sheikh, Hajar Shekarchizadeh\",\"doi\":\"10.1016/j.jfca.2025.107653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":15867,\"journal\":{\"name\":\"Journal of Food Composition and Analysis\",\"volume\":\"144 \",\"pages\":\"Article 107653\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Food Composition and Analysis\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0889157525004685\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157525004685","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
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.
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.