Colorimetric glutathione assay based on the peroxidase-like activity of a nanocomposite consisting of platinum nanoparticles and graphene oxide
Colorimetric glutathione assay based on the peroxidase-like activity of a nanocomposite consisting of platinum nanoparticles and graphene oxide
复制标题
基于由铂纳米颗粒和氧化石墨烯组成的纳米复合材料的类过氧化物酶活性的比色法谷胱甘肽测定
DOI:
10.1007/s00604-017-2429-3
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发表时间:
2017-07
影响因子:
5.7
通讯作者:
Chen Wei
中科院分区:
文献类型:
--
作者:
Xu Hui-Huang;Deng Hao-Hua;Lin Xiao-Qing;Wu Yan-Yu;Lin Xiu-Ling;Peng Hua-Ping;Liu Ai-Lin;Xia Xing-Hua;Chen Wei
This work describes a colorimetric glutathione (GSH) assay that is taking advantage of (a) the peroxidase-like activity of a nanocomposite prepared from platinum nanoparticles and graphene oxide (PtNP/GO), (b) the decolorizing reaction of GSH with oxidized 3,3′,5,5′-tetramethylbenzidine (TMB), and (c) the GSH-induced scavenging of hydroxy radicals produced from H2O2. The assay has a detection limit as low as 4 nM of GSH. It is flexible because it involves a single step reaction. The method was successfully applied to the determination of GSH in hemolyzed human blood. The concentrations determined by this method in GSH-spiked blood samples ranged from 95.0 to 112.5%, with relative standard deviations between 0.5 and 4.2%.Graphical abstractSchematic of a rapid and sensitive colorimetric method is developed for the detection of GSH in hemolyzed human blood. It is based on the peroxidase-mimicking property of a platinum nanoparticle/graphene oxide (PtNP/GO) composite and the inhibitory effect of GSH.
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影响因子:
5.7
作者:
Y. Zhong;Chun Deng;Yu He;Y. Ge;G. Song
通讯作者:
Y. Zhong;Chun Deng;Yu He;Y. Ge;G. Song
影响因子:
5.7
作者:
Dong, Yajuan;Su, Ming;Sun, Hanwen
通讯作者:
Sun, Hanwen
影响因子:
5.7
作者:
Jiao Yan;Yafei Huang;Chenghui Zhang;Z. Fang;Wenhui Bai;Mengmeng Yan;Chao Zhu;Ailiang Chen
通讯作者:
Jiao Yan;Yafei Huang;Chenghui Zhang;Z. Fang;Wenhui Bai;Mengmeng Yan;Chao Zhu;Ailiang Chen
影响因子:
3.1
作者:
H. Zou;Tong Yang;J. Lan;C. Huang
通讯作者:
H. Zou;Tong Yang;J. Lan;C. Huang
影响因子:
13.3
作者:
Chao Xu;Xin Wang
通讯作者:
Chao Xu;Xin Wang