{"title":"Multicomponent recognition and on-site detection of oral antidiabetic drugs based on a host-guest fluorescent sensor array.","authors":"Hong-Yuan Hu, Qing Tang, Qing Fan, Jin-Xian Luo, Nan Dong, Zhu Tao, Ying Huang","doi":"10.1016/j.talanta.2026.130165","DOIUrl":null,"url":null,"abstract":"<p><p>Hypoglycemia, a serious complication of diabetes, requires prompt identification of its underlying cause. Unlike conventional lock-and-key methods, which generally require a dedicated sensor for each analyte, we constructed a supramolecular fluorescent sensor array for multiplex oral antidiabetic drug (OAD) detection using only two sensing units: cucurbit[8]uril (Q[8]) as the host, along with a synthesized bpep-Am derivative and palmatine as fluorescent probes. Upon introduction of OADs, competitive guest displacement generates differential fluorescence \"fingerprints\". In combination with linear discriminant analysis, the array fully discriminated five OADs (metformin, phenformin, buformin, rosiglitazone, and sitagliptin), with a detection limit as low as 0.218 μM, 100% classification accuracy in artificial urine and guinea pig serum, and >93% recovery for spiked sitagliptin and phenformin. The sensor array was further integrated into a smartphone-enabled portable device for rapid on-site visual quantification of sitagliptin. This strategy provides a promising tool for OAD screening and assessment of hypoglycemia etiology.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"310 ","pages":"130165"},"PeriodicalIF":6.7000,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Talanta","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1016/j.talanta.2026.130165","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/18 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Hypoglycemia, a serious complication of diabetes, requires prompt identification of its underlying cause. Unlike conventional lock-and-key methods, which generally require a dedicated sensor for each analyte, we constructed a supramolecular fluorescent sensor array for multiplex oral antidiabetic drug (OAD) detection using only two sensing units: cucurbit[8]uril (Q[8]) as the host, along with a synthesized bpep-Am derivative and palmatine as fluorescent probes. Upon introduction of OADs, competitive guest displacement generates differential fluorescence "fingerprints". In combination with linear discriminant analysis, the array fully discriminated five OADs (metformin, phenformin, buformin, rosiglitazone, and sitagliptin), with a detection limit as low as 0.218 μM, 100% classification accuracy in artificial urine and guinea pig serum, and >93% recovery for spiked sitagliptin and phenformin. The sensor array was further integrated into a smartphone-enabled portable device for rapid on-site visual quantification of sitagliptin. This strategy provides a promising tool for OAD screening and assessment of hypoglycemia etiology.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.