School of Chemistry and Materials Engineering, Xinxiang University, Xinxiang, 453003, China.
Department of Chemistry, Capital Normal University, Beijing, 100048, China.
Mikrochim Acta. 2021 Mar 10;188(4):122. doi: 10.1007/s00604-021-04774-5.
A colorimetric sensing method is described for discrimination of multiple antioxidants based on core-shell Au@Ag nanocubes (NCs). In order to extract data-rich colorimetric responses from the sensor array, three different concentrations of chloroaurate acid (HAuCl) were employed as sensing elements. Interestingly, Au ions can be reduced to different valence states (i.e., Au(0) and Au(I)) by different antioxidants, and thus effectively inhibit the oxidation etching process of Au@Ag NCs by Au(III) ions to varying extents, generating diverse colorimetric responses (color and absorbance). This enables identification of the six antioxidants at 10 nM via linear discriminant analysis (LDA) with relative standard deviation (RSD) of 2.52% (n = 3). The discrimination ability of the sensor array was further evaluated in antioxidant binary and multicomponent mixtures. Remarkably, identification of these six antioxidants spiked in urine was realized with 100% of accuracy. Schematic presentation of colorimetric assay for antioxidants based on three chloroauric acid/Au-Ag nanocubes.
描述了一种基于核壳 Au@Ag 纳米立方体（NCs）的比色传感方法，用于区分多种抗氧化剂。为了从传感器阵列中提取丰富的数据比色响应，使用了三种不同浓度的氯金酸（HAuCl）作为传感元件。有趣的是，Au 离子可以被不同的抗氧化剂还原成不同的价态（即 Au(0)和 Au(I)），从而不同程度地有效抑制 Au@Ag NCs 被 Au(III)离子的氧化蚀刻过程，产生不同的比色响应（颜色和吸光度）。这使得通过线性判别分析（LDA）可以在 10 nM 下识别六种抗氧化剂，相对标准偏差（RSD）为 2.52%（n = 3）。进一步在抗氧化剂二元和多组分混合物中评估了传感器阵列的区分能力。值得注意的是，实现了对尿液中添加的这六种抗氧化剂的 100%准确识别。基于三种氯金酸/Au-Ag 纳米立方体的抗氧化剂比色分析示意图。
