Ming Chen, Harrison Stitt, Ronan Chu, Jos C. M. Kistemaker, Ian A. Wood, Paul L. Burn, Ian R. Gentle, Paul E. Shaw
{"title":"Naphthalimide Derivatives as Film-Based Fluorescent Sensors for Rapid Detection of Illicit Drugs","authors":"Ming Chen, Harrison Stitt, Ronan Chu, Jos C. M. Kistemaker, Ian A. Wood, Paul L. Burn, Ian R. Gentle, Paul E. Shaw","doi":"10.1002/adsr.202500063","DOIUrl":null,"url":null,"abstract":"<p>Film-based fluorescence sensors are attractive for illicit drugs detection due to their potential for rapid response, low limits of detection, and portability. However, it is still a significant challenge to achieve real-time identification of suspected illicit drugs using fluorescence detection. Herein, four novel 1,8-naphthalimide (NI) derivatives with different substituents at the 4-position, namely <b>NI-1</b> [phenyl], <b>NI-2</b> [4-({2-ethylhexyl}oxy)phenyl], <b>NI-3</b> [4,4''-bis({2-ethylhexyl}oxy)-(1,1':3',1''-terphenyl)-5'-yl] and <b>NI-4</b> [4-(dimesitylboraneyl)phenyl] are reported. The four NI derivatives had different thin film optoelectronic properties and mass densities, and showed distinct fluorescence responses to methamphetamine hydrochloride, 3,4-methylenedioxyamphetamine hydrochloride, cocaine hydrochloride, fentanyl hydrochloride, and tetrahydrocannabinol. The contrasting fluorescence responses of <b>NI-1</b>, <b>NI-2</b>, <b>NI-3</b> and <b>NI-4</b> were utilized as the basis for a constructed sensor array, which can distinguish between five drugs, three compounds commonly found around the home (paracetamol, aspirin and caffeine) and a null class (a blank swab) in 18 s with a mean classification accuracy of 81%. By grouping analyte predictions into binary “drug” and “other” categories, a 94% mean classification accuracy is achieved. This highlights the potential for thin film fluorescent NI derivatives to be used for rapid on-site drug screening.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 10","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202500063","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Sensor Research","FirstCategoryId":"1085","ListUrlMain":"https://advanced.onlinelibrary.wiley.com/doi/10.1002/adsr.202500063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Film-based fluorescence sensors are attractive for illicit drugs detection due to their potential for rapid response, low limits of detection, and portability. However, it is still a significant challenge to achieve real-time identification of suspected illicit drugs using fluorescence detection. Herein, four novel 1,8-naphthalimide (NI) derivatives with different substituents at the 4-position, namely NI-1 [phenyl], NI-2 [4-({2-ethylhexyl}oxy)phenyl], NI-3 [4,4''-bis({2-ethylhexyl}oxy)-(1,1':3',1''-terphenyl)-5'-yl] and NI-4 [4-(dimesitylboraneyl)phenyl] are reported. The four NI derivatives had different thin film optoelectronic properties and mass densities, and showed distinct fluorescence responses to methamphetamine hydrochloride, 3,4-methylenedioxyamphetamine hydrochloride, cocaine hydrochloride, fentanyl hydrochloride, and tetrahydrocannabinol. The contrasting fluorescence responses of NI-1, NI-2, NI-3 and NI-4 were utilized as the basis for a constructed sensor array, which can distinguish between five drugs, three compounds commonly found around the home (paracetamol, aspirin and caffeine) and a null class (a blank swab) in 18 s with a mean classification accuracy of 81%. By grouping analyte predictions into binary “drug” and “other” categories, a 94% mean classification accuracy is achieved. This highlights the potential for thin film fluorescent NI derivatives to be used for rapid on-site drug screening.