基于智能手机传感平台的纳米酶比色法用于葡萄糖的快速检测  

Ferriferous Oxide Nanozyme-assisted Colorimetry for Rapid Detection of Glucose Using Smartphone-based Sensing Platform

作　　者：邸会霞 徐佩泽 王颖倩 李晓春 DI Hui-Xia;XU Pei-Ze;WANG Ying-Qian;LI Xiao-Chun(Institute of Biomedical Precision Detection and Instrumentation,College of Biomedical Engineering,Taiyuan University of Technology,Jinzhong 030600,China)

机构地区：[1]太原理工大学生物医学工程学院,生物医学精准检测与仪器研究所,晋中030600

出　　处：《分析化学》2024年第12期1807-1816,共10页Chinese Journal of Analytical Chemistry

基　　金：国家自然科学基金项目(Nos.22104107,22104108);山西省应用基础研究计划项目(No.20210302124215)资助。

摘　　要：葡萄糖的定量检测在人体健康监测和慢性病管理方面具有非常重要的意义。目前,血液中的葡萄糖(血糖)检测主要采用基于葡萄糖氧化酶(Glucose oxidase,GOx)的比色法,因其操作简单、现象直观而应用广泛。但是,显色体系信号的读出常需要借助生化分析仪和酶标仪等仪器,需要熟练的专业人员进行操作和数据分析,因此限制了其在基层医疗部门和不发达地区的使用。本研究构建了基于具有类过氧化酶活性的四氧化三铁纳米颗粒(Fe_(3)O_(4)NPs)辅助的比色法检测血糖浓度。GOx催化葡萄糖生成过氧化氢(H_(2)O_(2)),Fe_(3)O_(4)NPs进一步催化H_(2)O_(2)氧化底物3,3′,5,5′-四甲基联苯胺(TMB)生成蓝色产物,最后通过基于智能手机的便携式检测设备实现数据的自动分析。本方法的线性响应范围为1~30 mmol/L,检出限为0.366 mmol/L。将本方法用于20组临床血清样本的检测,检测结果与酶标仪和医院提供的数据具有很好的一致性。Fe_(3)O_(4)纳米酶具有催化活性高、稳定性好、易分离以及可回收利用的优点,且智能手机易操作,具有强大的图像采集与运算能力,可高度集成,显著降低了仪器成本,为血糖的快速比色检测提供了一种有效工具。The quantitative detection of glucose is vital for human health monitoring and chronic disease management. At present, the method for glucose detection is mainly based on glucose oxidase(GOx) with simpleness, accessibility, and easy observation. However, the target signals are usually recorded on large and expensive instruments(such as a biochemical analyzer or microplate reader), and analyzed by skilled professionals,which limits the widespread use of such methods in poor areas and densely populated cities. Herein, a ferriferous oxide(Fe_(3)O_(4)) nanozyme-assisted colorimetry method was developed for determination of glucose in serum.Specifically, glucose was catalyzed by GOx to produce hydrogen peroxide(H_(2)O_(2)), and then the 3,3′,5,5′-tetramethylbenzidine(TMB) substrate was oxidized by H_(2)O_(2) with the assistance of peroxidase-like activity of Fe_(3)O_(4),resulting in blue product. Afterward, the colorimetric signals were measured by a smartphone-based intelligent device with automated data analysis function. The linear response range obtained from this method was 1–30 mmol/L, and the limit of detection(LOD) was 0.366 mmol/L. The method was applied to detection of clinical serum samples(n=20), and the detection results of this device were in good agreement with those by a microplate reader and provided by hospital. The prepared Fe_(3)O_(4) nanoparticles possessed advantages including high catalytic activity, good stability, easy separation, and repetitive utilization. Taken together, smartphones owned simple operation, excellent image acquisition, data analysis, and easy integration, and benefiting from that, a promising platform for detection of glucose was developed with low lost.

关 键 词：纳米酶 智能手机 比色分析 数字图片比色法 葡萄糖 

分 类 号：O657.3[理学—分析化学] R446.11[理学—化学]