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一种基于智能纺织面料的用于过氧化氢和葡萄糖监测的光学纳米生物传感器。

A smart textile fabric-based optical nano-biosensor for hydrogen peroxide and glucose monitoring.

作者信息

Saif Khansa, Alanazi Seham J F, Tariq Aqsa, Nasir Muhammad, Hayat Akhtar

机构信息

Interdisciplinary Research Center in Biomedical Materials (IRCBM), COMSATS University Islamabad (CUI), Lahore Campus, 54000, Pakistan.

Department of Chemistry, College of Science (CS), King Saud University, Riyadh 11451, Saudi Arabia.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2025 Sep 2;346:126894. doi: 10.1016/j.saa.2025.126894.

DOI:10.1016/j.saa.2025.126894
PMID:40912088
Abstract

The incorporation of nanomaterials into smart flexible interfaces is a developing requirement for real-time diagnostics applications. In this work, we report a novel optical fabric-based sensor for the analysis of glucose and hydrogen peroxide (HO), addressing critical needs of healthcare, industrial safety, and environmental analysis. In contrast to traditional rigid substrates, we utilized cotton fabric as a porous and flexible sensing platform, immobilizing cerium oxide nanoparticles (CeO₂-NPs) using hydrogel. This method provided homogeneous nanoparticle immobilization, facilitating better analyte interaction and allowing for clear colorimetric responses. The designed sensor's mechanism is driven by the redox transition between Ce and Ce, resulting in visible colorimetric shifts upon exposure to the analyte. Additionally, the immobilization of glucose oxidase (GO) augmented the sensor's high specificity towards glucose detection. The fabricated sensor demonstrated detection limits of 0.028 mM for HO and 0.42 mM for glucose. Real sample analysis was conducted using human serum spiked with glucose, proving its analytical effectiveness. The fabric-based platform, coupled with nanoparticle and enzyme immobilization, provides a flexible, cost-effective, and scalable sensing solution for point-of-care diagnostics. This research creates a new paradigm for flexible, real-time optical sensing, enabling future innovations in smart textiles and on-the-go diagnostics.

摘要

将纳米材料整合到智能柔性界面中是实时诊断应用不断发展的需求。在这项工作中,我们报告了一种用于分析葡萄糖和过氧化氢(HO)的新型基于光学织物的传感器,满足了医疗保健、工业安全和环境分析的关键需求。与传统刚性基板不同,我们利用棉织物作为多孔且柔性的传感平台,使用水凝胶固定氧化铈纳米颗粒(CeO₂-NPs)。这种方法实现了纳米颗粒的均匀固定,促进了更好的分析物相互作用,并允许产生清晰的比色响应。所设计传感器的机制由Ce和Ce之间的氧化还原转变驱动,在暴露于分析物时导致可见的比色变化。此外,葡萄糖氧化酶(GO)的固定增强了传感器对葡萄糖检测的高特异性。所制备的传感器对HO的检测限为0.028 mM,对葡萄糖的检测限为0.42 mM。使用添加了葡萄糖的人血清进行了实际样品分析,证明了其分析有效性。基于织物的平台,结合纳米颗粒和酶的固定,为即时诊断提供了一种灵活、经济高效且可扩展的传感解决方案。这项研究为柔性实时光学传感创造了一种新范式,推动了智能纺织品和即时诊断领域未来的创新。

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