Department of Chemistry, Capital Normal University, Beijing, 100048, China.
Analyst. 2019 Oct 22;144(21):6276-6282. doi: 10.1039/c9an01637f.
There is growing interest in developing a high-performance sensor array for detection and discrimination of antioxidants owing to their widespread use and essential role in the human body. The present work unveils a novel colorimetric sensor array for colorimetric discrimination of antioxidants based on the red, green, and blue alteration (ΔRGB) pattern recognition. In this sensor array, three concentrations of AgNO3 were used as sensing elements, and gold nanoparticles (AuNPs) were employed as a colorimetric probe. In the presence of antioxidants, the sensor array produces unique colorimetric response patterns for the discrimination of these antioxidants due to different reactivities between three different concentrations of AgNO3 and each antioxidant, leading to deposition of different quantities of Ag nanoshells on the surface of AuNPs, enabling an excellent discrimination of six antioxidants (catechin, epigallocatechin 3-gallate, epicatechin, epigallocatechin, epicatechin 3-gallate, and gallocatechin) at a 20 nM level, when linear discriminant analysis (LDA), hierarchical cluster analysis (HCA), centroid diagram, spidergram, and color contour profiles were smartly combined. Furthermore, different concentrations of antioxidants and binary antioxidant mixtures, even ternary mixtures, could also be discriminated with this sensor array. Finally, the sensor array was successfully used for the discrimination of antioxidants in serum samples, demonstrating its potential applications in the diagnosis of antioxidant-related diseases.
由于抗氧化剂在人体中的广泛应用和重要作用，人们对开发用于检测和区分抗氧化剂的高性能传感器阵列越来越感兴趣。本工作揭示了一种基于红、绿、蓝变化（ΔRGB）模式识别的用于抗氧化剂比色区分的新型比色传感器阵列。在该传感器阵列中，使用三种浓度的 AgNO3 作为传感元件，金纳米粒子（AuNPs）用作比色探针。在抗氧化剂存在下，由于三种不同浓度的 AgNO3 与每种抗氧化剂之间的不同反应性，传感器阵列产生了独特的比色响应模式，用于区分这些抗氧化剂，导致不同数量的 Ag 纳米壳沉积在 AuNPs 表面上，从而能够在 20 nM 水平下极好地区分六种抗氧化剂（儿茶素、表没食子儿茶素 3-没食子酸酯、表儿茶素、表没食子儿茶素、表儿茶素 3-没食子酸酯和没食子儿茶素），此时巧妙地结合了线性判别分析（LDA）、层次聚类分析（HCA）、质心图、蜘蛛图和颜色轮廓图。此外，还可以使用该传感器阵列区分不同浓度的抗氧化剂和二元抗氧化剂混合物，甚至三元混合物。最后，该传感器阵列成功用于血清样品中抗氧化剂的区分，证明了其在抗氧化剂相关疾病诊断中的潜在应用。
