Highly sensitive visual detection of catalase based on the accelerating decomposition of H2O2 using Au nanorods as a sensor

Highly sensitive visual detection of catalase based on the accelerating decomposition of H2O2 using Au nanorods as a sensor
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DOI:
10.1039/c6ra01889k
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发表时间:
2016-02
期刊:
影响因子:
3.9
通讯作者:
Simin Lu;Ling Chen;Ping Yang;K. Matras-Postołek
Simin Lu;Ling Chen;Ping Yang;K. Matras-Postołek
中科院分区:
化学3区
文献类型:
--
作者:
Simin Lu;Ling Chen;Ping Yang;K. Matras-Postołek

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与各种疾病相关的过氧化氢酶的检测是非常重要的,因为它在人类癌症组织中经常下调。贵金属纳米材料辅助传感器发展迅速,应用广泛,但在过氧化氢酶检测方面应用较少。因此,一种新的比色策略已被开发用于选择性和快速的视觉检测过氧化氢酶通过使用减速蚀刻的金纳米棒(NR)。当存在能降低Au(I)/Au(0)氧化还原电位的SCN-和十六烷基三甲基溴化铵时,H2 O2沿着纵向腐蚀Au NR。结果,溶液的颜色从蓝绿色变为粉红色,伴随着局域表面等离子体共振(LSPR)消光峰向短波长移动。相反,在过氧化氢酶的存在下,蚀刻过程将被禁止,并且Au NR的颜色和LSPR消光峰将保持不变。将该Au NR基传感器应用于试纸,可用于真实的样品中过氧化氢酶的检测。机理的讨论表明,这种传感方法在灵敏度、选择性和线性方面具有理想的性能。
The detection of catalase associated with various diseases is very important due to the fact that it is frequently downregulated in human cancer tissues. Noble metal nanomaterial-assisted sensors have achieved rapid development for wide applications but few for detecting catalase. Thus, a novel colourimetric strategy has been developed for the selective and rapid visual detection of catalase by using the decelerating etching of gold nanorods (NRs). In the presence of hexadecyltrimethylammonium bromide and SCN−, which can reduce the redox potential of Au(I)/Au (0), Au NRs would be etched by H2O2 along the longitudinal direction. As a consequence, the colour of solutions changed from bluish green to pink accompanied by the localized surface plasmon resonance (LSPR) extinction peak being shifted to short wavelength. In contrast, the etching process would be prohibited in the presence of catalase, and the colour and LSPR extinction peak of Au NRs would remain unchanged. Furthermore, this Au NR based sensor is applied to test paper that could be used in the detection of catalase in real samples. The discussion of the mechanism indicates that such a sensing method has an ideal performance in terms of sensitivity, selectivity, and linearity.