Carbon dots based photoelectrochemical sensors for ultrasensitive detection of glutathione and its applications in probing of myocardial infarction
Carbon dots based photoelectrochemical sensors for ultrasensitive detection of glutathione and its applications in probing of myocardial infarction
复制标题
基于碳点的光电化学传感器用于谷胱甘肽的超灵敏检测及其在心肌梗塞探测中的应用。
DOI：
10.1016/j.bios.2017.07.065
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发表时间：
2018-01-15
影响因子：
12.6
通讯作者：
Yue, Zhao
中科院分区：
文献类型：
--
作者：
Li, Zhengping;Zhang, Jun;Yue, Zhao
本研究开发了一种基于碳量子点（CD）的光电化学（PEC）传感器，用于在不添加催化剂的情况下对谷胱甘肽（GSH）进行超灵敏检测。在此PEC传感系统中，CD同时具有光电和催化性能。引入银纳米颗粒（AgNPs）、氧化石墨烯（GO）和介孔二氧化硅（MS）以增强CD对GSH的传感特性。在不同的混合纳米复合材料中，基于CD @MS的PEC传感器表现出最好的传感特性：GSH的灵敏度和检测限（LOD）分别为57.6 nA μ M-1 1和6.2 nM（S/N = 3），线性范围为0.02-4 μ M。此外，开发的PEC传感器表现出高选择性的GSH，即使与其他生物硫醇和氨基酸的干扰。PEC传感器成功地应用于人体血清中的GSH检测和探测心肌梗死（MI）的条件下，通过估计的GSH的量在小鼠的心肌细胞，这已经被处理了不同的缺血/缺血再灌注时间。这些结果表明，基于CD的杂化纳米复合材料是具有增强的传感性能的PEC生物传感器的发展的有希望的候选人。
In this work, photoelectrochemical (PEC) sensors based on carbon dots (CDs) were developed for ultrasensitive detection of glutathione (GSH) without additional catalysts. In this PEC sensing system, CDs exhibited both photoelectric and catalytic properties. Silver nanoparticles (AgNPs), graphene oxide (GO), and mesoporous silica (MS) were introduced in order to enhance the sensing properties of CDs for GSH. Among the different hybrid nanocomposites, CDs@MS based PEC sensors exhibited the best sensing properties: the sensitivity and limit of detection (LOD) for GSH were found to be 57.6 nA mu M-1 1 and 6.2 nM (S/N = 3), respectively, in the linear range 0.02-4 mu M. In addition, the developed PEC sensors showed a high selectivity for GSH even with interferences of other biological thiols and amino acids. The PEC sensor was successfully applied for GSH detection in human serum and probing of myocardial infarction (MI) conditions by estimating the amount of GSH in the myocardial cells of mice, which had been treated with different ischemia/ischernia-reperfusion times. These results indicated that the CDs based hybrid nanocomposites are promising candidates for the development of PEC biosensors with enhanced sensing performances.