摘要
农药的滥用已造成严重的环境污染,因此开发高效、简便和灵敏的农药检测技术是环境科学领域的研究焦点。荧光传感检测因其灵敏度高,检出限低,操作简单,成本低,目前已逐渐成为农药快速定量检测的一个发展方向。然而,在真实样品检测环境中,污染物不是单独存在的,常伴随结构或化学性质上与待检测分析物相似的污染物进行干扰。而基于阵列的荧光传感器检测技术能够在复杂环境中同时识别和预测多种分析物,已广泛应用于环境样品中农药残留的监测。荧光传感器阵列包含多个传感器元件,它们与目标分析物进行不同程度的交互,最终生成特定的识别模式,结合机器学习算法,实现对多种污染物的识别和预测。本文回顾了荧光传感器阵列检测在农药监测中的研究进展,重点介绍了荧光传感器阵列检测技术在环境样品(如河水、蔬菜、药品等)中的应用。分析现有阵列传感器在设计、构建、数据处理等方面的优点和问题,并提出了相关解决方案。最后,讨论了未来可能改进的方向,促进其潜在商业价值应用研究。
The misuse of pesticides can lead to serious environmental pollution problems,and therefore,the development of efficient,simple,and sensitive pesticide detection technology would be valuable for managing such risks.Fluorescence sensing technology,with its many advantages such a high sensitivity,low detection limit,simple operation procedure,and low cost,represents a promising development direction for the rapid,quantitative detection of pesticides.However,in a real sample testing environment,contaminants do not exist alone and are often accompanied by other compounds with similar structural or chemical properties to the analyte to be tested.Array based fluorescence sensor detection technology can be used to simultaneously identify and distinguish multiple analytes in complex environment samples and has been used widely for the monitoring of pesticide residues in real samples.The fluorescent array sensor consists of multiple sensor elements that interact with the target analytes to varying degrees,and the technology ultimately generates specific recognition patterns for the array.Combined with machine learning algorithms,the recognition and prediction of multiple pollutants can be realized.In this study,the progress achieved with fluorescence array sensor detection technology in regard to pesticide monitoring was reviewed,and the application of fluorescence array sensor detection technology to various types of environmental samples(e.g.,river water,vegetables,pharmaceuticals)was discussed.Furthermore,the advantages and limitations of existing array sensors in terms of the design,construction,and data processing were analyzed and relevant solutions were proposed.Finally,in consideration of the unique advantages of array research for practical production and environmental health applications,possible future directions for improvements are discussed to promote its commercial application value.
作者
刘玉莹
王朝崑
汪溪远
程维明
LIU Yuying;WANG Zhaokun;WANG Xiyuan;CHENG Weimin(College of Resources and Environmental Sciences Xinjiang University,Urumqi,830046,China;Xinjiang Key Laboratory of Oasis Ecology,Urumqi,830046,China;Institute of Drought Ecology and Environment,Xinjiang University,Urumqi,830046,China;College of Resources and Environmental Sciences,China Agricultural University,Beijing,100193,China;State Key Laboratory of Resource and Environmental Information Systems,Institute of Geographic Sciences and Resources Research,Chinese Academy of Sciences,Beijing,100101,China;University of Chinese Academy of Sciences,Beijing,100049,China)
出处
《环境化学》
CAS
CSCD
北大核心
2022年第1期241-250,共10页
Environmental Chemistry
基金
新疆省自然科学基金(2019D01C068)
伊犁哈萨克自治州阿勒泰地区科学技术局项目(专题4)资助
关键词
传感器阵列
机器学习
荧光
农药
sensor array
machine learning
fluorescence
pesticide.
