Enqi Liu, Jiaqi Zhu, Xuechun Li, Boyao Sun, Kaihua Su, Min Liu, Kaixin Hu, Daohong Cheng, Guoying Sun, Yibing Liu
{"title":"A smartphone-assisted dual-mode sensor based on GN-CDs for sensitive and portable detection of α-glucosidase.","authors":"Enqi Liu, Jiaqi Zhu, Xuechun Li, Boyao Sun, Kaihua Su, Min Liu, Kaixin Hu, Daohong Cheng, Guoying Sun, Yibing Liu","doi":"10.1016/j.saa.2025.126762","DOIUrl":null,"url":null,"abstract":"<p><p>The determination of the α-glucosidase (α-Glu) activity is crucial for the early screening of diabetes. However, traditional α-Glu detection methods mainly rely on a single-signal readout system, which is inevitably subjected to interference from a complicated detection environment. To address this practical issue, a fluorescence-colorimetric dual-mode sensor based on green-emitting nitrogen-doped carbon dots (GN-CDs) was designed for the sensitive and portable detection of α-Glu. The detection strategy of this sensor was based on the enzymatic reaction of α-Glu with the specific substrate p-nitrophenyl-α-D-glucopyranoside (PNPG) to generate p-nitrophenol (PNP), which not only displayed stronger absorbance at 400 nm but also could effectively quench the fluorescence of GN-CDs through the inner filter effect (IFE), thereby realizing the dual-mode detection of α-Glu. Through the mutual calibration of the double signals, the accuracy and anti-interference ability of α-Glu detection in complex environments were significantly improved, with the detection limits as low as 0.023 U/L in fluorescence mode and 0.045 U/L in colorimetric mode, respectively. Furthermore, portable α-Glu detection was successfully achieved by integrating GN-CDs loaded hydrogel microspheres and smartphone-based image analysis technology. Therefore, the developed dual-signal sensor provided an accurate and portable strategy for α-Glu detection, demonstrating great application potential in the sensing of diabetes-related biomarkers.</p>","PeriodicalId":94213,"journal":{"name":"Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy","volume":"345 ","pages":"126762"},"PeriodicalIF":4.6000,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.saa.2025.126762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/5 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The determination of the α-glucosidase (α-Glu) activity is crucial for the early screening of diabetes. However, traditional α-Glu detection methods mainly rely on a single-signal readout system, which is inevitably subjected to interference from a complicated detection environment. To address this practical issue, a fluorescence-colorimetric dual-mode sensor based on green-emitting nitrogen-doped carbon dots (GN-CDs) was designed for the sensitive and portable detection of α-Glu. The detection strategy of this sensor was based on the enzymatic reaction of α-Glu with the specific substrate p-nitrophenyl-α-D-glucopyranoside (PNPG) to generate p-nitrophenol (PNP), which not only displayed stronger absorbance at 400 nm but also could effectively quench the fluorescence of GN-CDs through the inner filter effect (IFE), thereby realizing the dual-mode detection of α-Glu. Through the mutual calibration of the double signals, the accuracy and anti-interference ability of α-Glu detection in complex environments were significantly improved, with the detection limits as low as 0.023 U/L in fluorescence mode and 0.045 U/L in colorimetric mode, respectively. Furthermore, portable α-Glu detection was successfully achieved by integrating GN-CDs loaded hydrogel microspheres and smartphone-based image analysis technology. Therefore, the developed dual-signal sensor provided an accurate and portable strategy for α-Glu detection, demonstrating great application potential in the sensing of diabetes-related biomarkers.