Coumba Faye , El Hadji T. Bodian , Diène D. Thiaré , Diéry Diouf , Ndeye A. Diop , Jean-Pierre Bakhoum , Lamine Cisse , Pape A. Diaw , Atanasse Coly , Philippe Giamarchi
{"title":"Development of a new spectral database of photo-induced pesticide compounds for an automatic monitoring and identification system","authors":"Coumba Faye , El Hadji T. Bodian , Diène D. Thiaré , Diéry Diouf , Ndeye A. Diop , Jean-Pierre Bakhoum , Lamine Cisse , Pape A. Diaw , Atanasse Coly , Philippe Giamarchi","doi":"10.1016/j.aca.2024.343475","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Due to the widespread use of pesticides, it is necessary to monitor surface water quality for environmental protection, industrial use and tap water production. Many analytical methods based on chromatographic separations and mass spectrometry detection can be used, but they are complex and expensive. They also require sampling and transport to the laboratory, which delays the results. We therefore need automatic monitoring systems that can detect and identify pesticides at low cost and with simple technology.</div></div><div><h3>Results</h3><div>As many pesticides are non-fluorescent, we have chosen the photoinduced fluorescence method for detection. However this method lacks of specificity. To improve this, we present a new fluorescence database of photoinduced pesticide compounds. It is designed in an original way to be lightweight, containing only four spectra of each pesticide concatenated into a single 'combined fluorescence spectrum'. It can therefore be used with a simple spreadsheet to identify pesticides by spectral similarity. The database is then combined with an automated pesticide monitoring system using photo-induced fluorescence to add identification capability.</div><div>Analytical applications are carried out on-line to determine rimsulfuron and sulfometuron-methyl, with good analytical results. The identification process using the database is then self-tested against the spectra of these two pesticides, leading to correct results.</div></div><div><h3>Significance</h3><div>This work presents the first spectrofluorimetric database of photoinduced compounds of pesticides. It has been designed to be easy to use, even by an unskilled user. Combined with an automated monitoring system, it becomes the first to allow simultaneous detection and identification of pesticides in surface water. The results showed good identification results and good analytical performance.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1335 ","pages":"Article 343475"},"PeriodicalIF":5.7000,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytica Chimica Acta","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0003267024012765","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Due to the widespread use of pesticides, it is necessary to monitor surface water quality for environmental protection, industrial use and tap water production. Many analytical methods based on chromatographic separations and mass spectrometry detection can be used, but they are complex and expensive. They also require sampling and transport to the laboratory, which delays the results. We therefore need automatic monitoring systems that can detect and identify pesticides at low cost and with simple technology.
Results
As many pesticides are non-fluorescent, we have chosen the photoinduced fluorescence method for detection. However this method lacks of specificity. To improve this, we present a new fluorescence database of photoinduced pesticide compounds. It is designed in an original way to be lightweight, containing only four spectra of each pesticide concatenated into a single 'combined fluorescence spectrum'. It can therefore be used with a simple spreadsheet to identify pesticides by spectral similarity. The database is then combined with an automated pesticide monitoring system using photo-induced fluorescence to add identification capability.
Analytical applications are carried out on-line to determine rimsulfuron and sulfometuron-methyl, with good analytical results. The identification process using the database is then self-tested against the spectra of these two pesticides, leading to correct results.
Significance
This work presents the first spectrofluorimetric database of photoinduced compounds of pesticides. It has been designed to be easy to use, even by an unskilled user. Combined with an automated monitoring system, it becomes the first to allow simultaneous detection and identification of pesticides in surface water. The results showed good identification results and good analytical performance.
期刊介绍:
Analytica Chimica Acta has an open access mirror journal Analytica Chimica Acta: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
Analytica Chimica Acta provides a forum for the rapid publication of original research, and critical, comprehensive reviews dealing with all aspects of fundamental and applied modern analytical chemistry. The journal welcomes the submission of research papers which report studies concerning the development of new and significant analytical methodologies. In determining the suitability of submitted articles for publication, particular scrutiny will be placed on the degree of novelty and impact of the research and the extent to which it adds to the existing body of knowledge in analytical chemistry.