Liu Enqi, Zhu Jiaqi, Li Xuechun, Sun Boyao, Su Kaihua, Liu Min, Hu Kaixin, Cheng Daohong, Sun Guoying, Liu Yibing
School of Chemistry and Life Science, Changchun University of Technology, 2055, Yanan Street, Changchun 130012, PR China.
Advanced Institute of Materials Science, Changchun University of Technology, 2055 Yanan Street, Changchun 130012, PR China.
Spectrochim Acta A Mol Biomol Spectrosc. 2026 Jan 15;345:126762. doi: 10.1016/j.saa.2025.126762. Epub 2025 Aug 5.
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.
α-葡萄糖苷酶(α-Glu)活性的测定对于糖尿病的早期筛查至关重要。然而,传统的α-Glu检测方法主要依赖单信号读出系统,不可避免地会受到复杂检测环境的干扰。为了解决这一实际问题,设计了一种基于绿色发光氮掺杂碳点(GN-CDs)的荧光-比色双模式传感器,用于灵敏且便携地检测α-Glu。该传感器的检测策略基于α-Glu与特定底物对硝基苯基-α-D-吡喃葡萄糖苷(PNPG)的酶促反应生成对硝基苯酚(PNP),PNP不仅在400 nm处显示出更强的吸光度,还能通过内滤效应(IFE)有效猝灭GN-CDs的荧光,从而实现α-Glu的双模式检测。通过双信号的相互校准,显著提高了复杂环境中α-Glu检测的准确性和抗干扰能力,荧光模式下的检测限低至0.023 U/L,比色模式下的检测限低至0.045 U/L。此外,通过集成负载GN-CDs的水凝胶微球和基于智能手机的图像分析技术,成功实现了便携式α-Glu检测。因此,所开发的双信号传感器为α-Glu检测提供了一种准确且便携的策略,在糖尿病相关生物标志物传感方面显示出巨大的应用潜力。