利用双触发 MOF-Fe(DTNB)对谷胱甘肽进行稳健灵敏的比色检测。

Kaining Zhang, Hao Sun, Long Wei, Rui Hu, Hao Liu, Yongchao Lai, Xun Li
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引用次数: 0

摘要

谷胱甘肽(GSH)水平与多种生理和病理状况(如恶性肿瘤、心血管疾病和衰老)的相关性已得到充分验证,因此开发准确、稳健和灵敏的 GSH 检测方法非常必要。本研究提出了一种新型的基于金属有机框架(MOF-Fe(DTNB))的比色法,具有良好的双触发功能。MOF-Fe(DTNB) 具有很高的过氧化物酶活性,能催化无色的 3,3',5,5'-四甲基联苯胺(TMB)在过氧化氢(H2O2)的作用下氧化成蓝色的 ox-TMB。TMB 的这一氧化过程不仅可以通过 GSH 的还原作用来抑制,还可以通过 DTNB 和 GSH 之间的硫醇交换反应(DTNB 在 MOF-Fe(DTNB)中的二硫键被裂解)来抑制。因此,在这种双重触发机制下,MOF-Fe(DTNB)衍生的比色法可以稳健地测量 GSH 的浓度。值得注意的是,这种方法是准确的(RSD
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust and sensitive colorimetric detection of glutathione with double-triggering MOF-Fe(DTNB).

Glutathione (GSH) levels have been well validated to correlate with a variety of physiological and pathological conditions, such as malignancy, cardiovascular disease and aging, making the development of accurate, robust and sensitive GSH detection methods highly desirable. In this study, a novel metal-organic framework (MOF-Fe(DTNB))-based colorimetric method with a favorable dual-triggering function was proposed. MOF-Fe(DTNB) exhibits high peroxidase activity, which can catalyze the oxidation of colorless 3,3',5,5'-tetramethylbenzidine (TMB) to blue ox-TMB by hydrogen peroxide (H2O2). This oxidation process of TMB can be inhibited not only by the reducing action of GSH, but also by the thiol exchange reaction between DTNB and GSH, in which the disulfide bond of DTNB in MOF-Fe(DTNB) is cleaved. Thus, with this dual triggering mechanism, the GSH concentration can be robustly measured in the MOF-Fe(DTNB)-derived colorimetric strategy. Significantly, this method is accurate (RSD < 6 %), selective and sensitive in biological plasma samples, with satisfactory recovery rates (96.7-103.3 %). It requires less instrumentation and has less interference from other substances. The linear range of the method is 0-80 µM, and the detection limit is as low as 0.28 µM. This dual-triggering MOF-Fe(DTNB)-derived colorimetric strategy has greatly simplified the GSH detection processes with improved accuracy, in both acidic and basic environments, which has potent applications in biochemical analysis and point-of-care testing.

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