Chen Zikang, Zhang Yuhan, Teng Ruomei, Li Ming, Ding Caiping, Huang Youju
College of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
College of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
Biosens Bioelectron. 2025 Feb 1;269:116941. doi: 10.1016/j.bios.2024.116941. Epub 2024 Nov 14.
Diabetes mellitus (DM) is a serious chronic disease characterized by abnormally high blood glucose (Glu) levels, which can cause organ malfunction and metabolic disturbances. However, traditional biomarkers like Glu face limitations due to intraday fluctuations and inability to detect early stages of DM. To tackle these challenges, this study has introduced a colorimetric-fluorescence dual-mode biosensor utilizing α-glucosidase (α-GAA), which enables early diabetes screening without being influenced by physiological fluctuations in blood glucose levels. Specifically, chitosan-modified copper nanoclusters (Cu NC@CS-Ce: AP-CuCC) with exceptional peroxidase (POD) activity and Ce-induced aggregate-induced luminescence (AIE) properties have been synthesized. The targeted hydrolysis of the α-GAA substrate, 4-nitrophenyl-α-D-glucopyranoside (pNGP), results in the formation of p-nitrophenol (p-NP) and Glu. While p-NP statically quenches an increase in AP-CuCC fluorescence signal, Glu facilitates the production of HO by glucose oxidase during AP-CuCC POD enzyme reactions, triggering colorimetric changes in the reaction. The detection limits for colorimetric and fluorescence measurements were determined to be 0.03 U/L and 0.02 U/L, respectively. By integrating fluorescence analysis, this method cleverly mitigates the confusing effects of normal blood Glu levels on colorimetric outcomes, allowing for the consideration of abnormal Glu levels as a supplementary diagnostic tool. Compared to relying solely on colorimetry, this dual-mode approach reduces false positive rates by 50% and false negative rates by 25%. Leveraging the sensor's colorimetric and fluorescent capabilities provides a versatile platform for precise and reliable evaluation of aberrant expression markers across various clinical settings.
糖尿病(DM)是一种严重的慢性疾病,其特征是血糖(Glu)水平异常升高,可导致器官功能障碍和代谢紊乱。然而,像Glu这样的传统生物标志物由于日内波动以及无法检测糖尿病早期阶段而面临局限性。为应对这些挑战,本研究引入了一种利用α-葡萄糖苷酶(α-GAA)的比色-荧光双模式生物传感器,该传感器能够在不受血糖水平生理波动影响的情况下进行早期糖尿病筛查。具体而言,已合成具有卓越过氧化物酶(POD)活性和铈诱导的聚集诱导发光(AIE)特性的壳聚糖修饰铜纳米簇(Cu NC@CS-Ce: AP-CuCC)。α-GAA底物4-硝基苯基-α-D-吡喃葡萄糖苷(pNGP)的靶向水解导致对硝基苯酚(p-NP)和Glu的形成。虽然p-NP静态猝灭AP-CuCC荧光信号的增加,但Glu在AP-CuCC POD酶反应过程中促进葡萄糖氧化酶产生HO,引发反应中的比色变化。比色和荧光测量的检测限分别确定为0.03 U/L和0.02 U/L。通过整合荧光分析,该方法巧妙地减轻了正常血糖水平对比色结果的混淆影响,将异常血糖水平作为一种辅助诊断工具。与仅依靠比色法相比,这种双模式方法将假阳性率降低了50%,假阴性率降低了25%。利用该传感器的比色和荧光能力为在各种临床环境中精确可靠地评估异常表达标志物提供了一个通用平台。