Gold nanoparticle etching induced by an enzymatic-like reaction for the colorimetric detection of hydrogen peroxide and glucose
文献类型： 外文期刊
作者： Lu, Manman 1 ; Su, Linjing 2 ; Luo, Yanghe 1 ; Ma, Xionghui 4 ; Duan, Zhenhua 2 ; Zhu, Dongjian 2 ; Xiong, Yuhao 2 ;
作者机构： 1.Dalian Polytech Univ, Coll Food Sci & Technol, Dalian 116034, Peoples R China
2.Hezhou Univ, Coll Food & Bioengn, Hezhou 542899, Peoples R China
3.Hezhou Univ, Inst Food Sci & Engn Technol, Hezhou 542899, Peoples R China
4.Chinese Acad Trop Agr Sci, Anal & Test Ctr, Haikou 571101, Hainan, Peoples R China
5.Minist Agr, Lab Qual & Safety Risk Assessment Trop Prod Haiko, Haikou 571101, Hainan, Peoples R China
期刊名称：ANALYTICAL METHODS （ 影响因子：2.896； 五年影响因子：2.716 ）
ISSN： 1759-9660
年卷期： 2019 年 11 卷 37 期
页码：
收录情况： SCI
摘要： Despite the advantages of colorimetric detection methods, their application to glucose detection in fruit and vegetable samples has been limited by interference from other matrix components. Herein, a colorimetric sensor for hydrogen peroxide and glucose detection was developed based on an enzymatic-like reaction that induced the iodine-mediated etching of gold nanoparticles (AuNPs). The AuNPs were fabricated using a MoO3-nanosheet-assisted photochemical process without any surface modification or purification steps. Furthermore, the MoO3 nanosheet residues and Mo(vi) ions leached during AuNP preparation acted directly as peroxidase-like catalysts to promote the reduction of iodate to iodine in the presence of hydrogen peroxide (or the glucose-glucose oxidase enzymatic system). The generated iodine then etched the AuNPs, resulting in an obvious colour change of the reaction solution that allowed the selective and quantitative spectrophotometric determination of hydrogen peroxide and glucose. The linear ranges for the detection of hydrogen peroxide and glucose were 40-380 mu M (R-2 = 0.99) and 100-1000 mu M (R-2 = 0.98), respectively, with detection limits of 0.55 mu M and 0.45 mu M, respectively. The developed colorimetric method was applied to the determination of glucose in water chestnuts with good recoveries (100-108%), demonstrating its applicability to glucose detection in fruits.
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