用于谷胱甘肽比色检测的Ag+功能化结构彩色水凝胶传感器的构建

IF 5.3 2区 化学 Q1 CHEMISTRY, ANALYTICAL
Qianqian Feng, Jiang Zhou, Lingfeng Wang, Xiaojiao Gong, Qiang Xi, Shengyuan Yang, Wenfang Du, Fubing Xiao
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引用次数: 0

摘要

构建了一种Ag+功能化结构色水凝胶(Ag+-SCH)传感器,用于谷胱甘肽(GSH)的比色检测。以银离子配位与1-乙烯基咪唑(1-VI)为交联网络制备水凝胶。GSH作为竞争配体破坏Ag+与1-VI之间的配位,导致水凝胶的膨胀和结构颜色的变化。通过测量粒子间距变化实现定量,动态范围为0.1 ~ 200 μM,检出限为0.04 μM。另外,基于智能手机的色调分析可以实现0.79 μM的高灵敏度GSH检测。该传感器已被证明具有高选择性,优异的可重用性和长期稳定性。在人血清测试中,Ag+-SCH的表现与商业试剂盒相当,同时提供明显更低的成本。这种便携式、低成本的平台满足了各种环境下谷胱甘肽监测的实际需求。图形抽象
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of an Ag+-functionalized structural color hydrogel sensor for colorimetric detection of glutathione

An Ag+-functionalized structural color hydrogel (Ag+-SCH) sensor is constructed for colorimetric detection of glutathione (GSH). The hydrogel is prepared by using the coordination of Ag+ and 1-vinylimidazole (1-VI) as cross-linking network. GSH acts as a competitive ligand to break the coordination between Ag+ and 1-VI, leading to the expansion and structural color change of the hydrogel. Quantification was achieved by measuring particle spacing changes, yielding a dynamic range of 0.1–200 μM with a limit of detection (LOD) of 0.04 μM. Alternatively, smartphone-based hue analysis enables sensitive GSH detection with a LOD of 0.79 μM. The sensor has proven to show high selectivity, excellent reusability, and long-term stability. In human serum tests, the Ag+-SCH performed comparably to commercial kits, while offering significantly lower cost. This portable, low-cost platform meets practical needs for GSH monitoring in diverse settings.

Graphical abstract

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来源期刊
Microchimica Acta
Microchimica Acta 化学-分析化学
CiteScore
9.80
自引率
5.30%
发文量
410
审稿时长
2.7 months
期刊介绍: As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.
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