用于葡萄糖检测的电化学-分子印迹聚合物增强型损耗模共振光纤

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Xiaoshuang Dai, Shuang Wang*, Xiang Liu*, Junfeng Jiang, Kun Liu, Ziyihui Wang, Ke Tan, Jianying Jing, Hongyu Liu, Tianhua Xu and Tiegen Liu, 
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引用次数: 0

摘要

无创葡萄糖传感器是一种新兴的智能传感器,可在无创条件下分析体液中的葡萄糖浓度。传统的葡萄糖传感器往往受到侵入性和实时检测等一系列问题的限制,给持续表征生物标记物或微妙的结合动态带来了挑战。在这项研究中,我们介绍了一种高效的有损模式共振(LMR)光纤传感器,它结合了分子印迹聚合物(MIPs)来放大葡萄糖分子。通过便捷的一步电化学(EC)聚合方法,在 LMR 传感器表面创建了分子印迹识别平台,其中 3-氨基苯硼酸和葡萄糖分别作为功能单体和模板分子。利用光损耗模式和光纤纤芯模式耦合引起的 LMR 共振波长偏移作为表征生物分子的参数。由于其对周围环境变化的高灵敏度,该光纤传感器对葡萄糖的检测限(LOD)可达到 4.62 × 10-2 μmol/L。此外,所制备的 EC-MIPs LMR 传感器还能高精度地检测人体唾液样本中的葡萄糖分子,因此具有实际应用的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Lossy Mode Resonance Optical Fiber Enhanced by Electrochemical-Molecularly Imprinted Polymers for Glucose Detection

Lossy Mode Resonance Optical Fiber Enhanced by Electrochemical-Molecularly Imprinted Polymers for Glucose Detection

Noninvasive glucose sensors are emergent intelligent sensors for analyzing glucose concentration in body fluids within invasion-free conditions. Conventional glucose sensors are often limited by a number of issues such as invasive and real-time detection, creating challenges in continuously characterizing biomarkers or subtle binding dynamics. In this study, we introduce an efficient lossy mode resonance (LMR) optical fiber sensor incorporating the molecularly imprinted polymers (MIPs) to amplify glucose molecules. A molecularly imprinted recognition platform is created on an LMR sensor surface through a convenient one-step electrochemical (EC) polymerization method, in which 3-Aminophenylboric acid and glucose serve as the functional monomer and template molecule, respectively. LMR resonance wavelength shift induced by the coupling of the optical lossy mode and the fiber core mode is employed as the parameter to characterize biomolecules. Due to its high sensitivity to surrounding environment changes, a limit of detection (LOD) of 4.62 × 10–2 μmol/L for glucose can be achieved by this optical fiber sensor. Additionally, the prepared EC-MIPs LMR sensor is capable of detecting glucose molecules in human saliva samples with high accuracy, endowing its potential for practical applications.

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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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