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基于分子印迹聚合物的非酶电化学葡萄糖传感器及其在唾液葡萄糖测量中的应用。

A nonenzymatic electrochemical glucose sensor based on molecularly imprinted polymer and its application in measuring saliva glucose.

机构信息

Sensor Electronic & Instrumentation Group, Department of Physics, Faculty of Sciences, Moulay Ismaïl University, B.P. 11201, Zitoune, Meknes, Morocco; Biotechnology Agroalimentary and Biomedical Analysis Group, Department of Biology, Faculty of Sciences, Moulay Ismaïl University, B.P. 11201, Zitoune, 50003 Meknes, Morocco.

Sensor Electronic & Instrumentation Group, Department of Physics, Faculty of Sciences, Moulay Ismaïl University, B.P. 11201, Zitoune, Meknes, Morocco.

出版信息

Mater Sci Eng C Mater Biol Appl. 2019 May;98:1196-1209. doi: 10.1016/j.msec.2019.01.001. Epub 2019 Jan 11.

Abstract

Diabetes mellitus (DM) is often diagnosed by invasive or enzymatic methods being progressively somewhat undesirable. If salivary glucose (SG) level correlates with blood glucose (BG), it could be useful for early DM detection. In this work, a molecular imprinted polymer (MIP) approach was used to develop an electrochemical non-enzymatic sensor to determine SG in micro-molar levels. The MIP based Screen printed gold electrode (Au-SPE) was prepared by electropolymerizing Acrylamide/Bis-Acrylamide (AAM/NNMBA) in the presence of glucose (G) as a template. The Cyclic voltammetry (CV), differential pulse voltammetry (DPV) and electrochemical impedance spectroscopy (EIS) techniques were employed for the electrochemical measurements with Ferri/Ferrocyanide as redox probe in phosphate buffer saline. Morphological characterizations of the elaborated sensors were performed by using atomic force microscopy (AFM) and scanning electron microscopy coupled with energy dispersive X-ray spectroscopy (SEM-EDS). Important parameters influencing the MIP sensor performances such as extraction, incubation time, potential range and number of CV cycles, were studied and optimized. Under optimum conditions, the sensor could effectively detect glucose avoiding interferences of structural similar substances like lactose and sucrose. In a working range from 0.5 to 50 μg/mL, it exhibits a detection and quantification limits of 0.59 μg/mL and 1.9 μg/mL, respectively. Additionally, the real saliva glucose determination was compared to those of finger prick blood with satisfactory results (R = 0.99) by using partial least squares (PLS) statistical technique. Correspondingly, this work has demonstrated a cheap, simple and effective sensing platform for non-enzymatic glucose detection thus making it a promising tool for future evolution of accurate and reliable non-invasive DM diagnosis.

摘要

糖尿病(DM)通常通过侵袭性或酶法进行诊断,这些方法逐渐变得不太理想。如果唾液葡萄糖(SG)水平与血糖(BG)相关,那么它可能有助于早期 DM 的检测。在这项工作中,采用分子印迹聚合物(MIP)方法开发了一种电化学非酶传感器,以测定微摩尔级别的 SG。基于 MIP 的丝网印刷金电极(Au-SPE)是通过在存在葡萄糖(G)作为模板的情况下电聚合丙烯酰胺/双丙烯酰胺(AAM/NNMBA)来制备的。循环伏安法(CV)、差分脉冲伏安法(DPV)和电化学阻抗谱(EIS)技术用于在磷酸盐缓冲盐中使用 Ferri/Ferrocyanide 作为氧化还原探针进行电化学测量。通过原子力显微镜(AFM)和扫描电子显微镜结合能量色散 X 射线光谱(SEM-EDS)对所制备的传感器进行了形貌表征。研究并优化了影响 MIP 传感器性能的重要参数,如提取、孵育时间、电位范围和 CV 循环次数。在最佳条件下,传感器可以有效地检测葡萄糖,避免了乳糖和蔗糖等结构相似物质的干扰。在 0.5 至 50 μg/mL 的工作范围内,它的检测限和定量限分别为 0.59 μg/mL 和 1.9 μg/mL。此外,通过使用偏最小二乘法(PLS)统计技术,将实际唾液葡萄糖的测定与指尖血的测定进行了比较,结果令人满意(R=0.99)。相应地,这项工作展示了一种用于非酶葡萄糖检测的廉价、简单且有效的传感平台,因此有望成为未来准确可靠的非侵入性 DM 诊断的工具。

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