三元运算
单原子离子
检出限
化学
硫黄
密度泛函理论
金属
钴
无机化学
色谱法
计算化学
计算机科学
有机化学
程序设计语言
作者
Hongsu Wang,Fengling Wu,Lifang Wu,Jingqi Guan,Xiaodi Niu
标识
DOI:10.1016/j.jhazmat.2023.131643
摘要
The identification of sulfur-containing metal salts (SCMs) is of great interest because they play an important role in many biological processes and diseases. Here, we constructed a ternary channel colorimetric sensor array to detect multiple SCMs simultaneously, relying on monatomic Co embedded in nitrogen-doped graphene nanozyme (CoN4-G). Due to the unique structure, CoN4-G exhibits activity similar to native oxidases, capable of catalysing directly the oxidization of 3,3',5,5'-tetramethylbenzidine (TMB) by O2 molecules independent of H2O2. Density functional theory (DFT) calculations suggest that CoN4-G has no potential barrier in the whole reaction route, thus presenting higher oxidase-like catalytic activity. Based on different degrees of TMB oxidation, different colorimetric response changes are obtained as "fingerprints" on the sensor array. The sensor array can discriminate different concentrations of unitary, binary, ternary, and quaternary SCMs and has been successfully applied to detect six real samples (soil, milk, red wine and egg white). To advance the field detection of the above four types of SCMs, we creatively propose a smartphone-based autonomous detection platform with a linear range of 1.6-320 μM and a limit of detection of 0.0778-0.218 μM, which demonstrates the potential use of sensor arrays in the application of disease diagnosis and food and environment monitoring.
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