College of Chemistry and Chemical Engineering, Qingdao University, Research Center for Intelligent and Wearable Technology, Qingdao, 266071, PR China.
College of Chemistry and Chemical Engineering, Qingdao University, Research Center for Intelligent and Wearable Technology, Qingdao, 266071, PR China.
Biosens Bioelectron. 2022 Oct 1;213:114438. doi: 10.1016/j.bios.2022.114438. Epub 2022 May 30.
Thiol analysis is of vital significance due to the essential roles in disease diagnosis, while the highly similar structures of thiols are a major challenge in practical determination. Herein, a nanozyme-based colorimetric sensor array has been proposed as electronic tongue for excellent discrimination and sensitive quantitation of thiols. The sensing units are fabricated by integrating the terephthalic acid modified graphene quantum dots (TPA@GQDs) with three transition metal ions (Fe, Cu and Zn) via coordination, respectively, which not only provide sufficient substrate binding sites but also form the metal ion-regulated catalytic active centers. In this way, disparate promotion degrees on the peroxidase-like catalytic activity have been achieved in different metal ion-TPA@GQD ensembles. Based on the strong binding affinity between metal ions and thiols, the catalytic active centers are removed from TPA@GQDs, which inhibits the catalytic activity of sensing unit to diverse degrees. Accordingly, using 3, 3', 5, 5'-tetramethylbenzidine (TMB) as chromogenic substrate in the presence of hydrogen peroxide (HO), each sensing unit can generate differential colorimetric signals (fingerprints) for six thiol analytes, which can be accurately discriminated through linear discriminant analysis (LDA) with a detection limit of 50 nM. In addition, the discrimination of the same thiol with different concentrations and thiol mixtures have also been achieved. Furthermore, inspired by the distinct levels of thiols in practical samples, the proposed sensor array enables the identification of thiol-associated diseases by means of machine learning algorithm, which makes a positive contribution to medical diagnosis.
由于巯基在疾病诊断中的重要作用,巯基分析至关重要,而巯基结构高度相似是实际测定中的主要挑战。在此,提出了一种基于纳米酶的比色传感器阵列作为电子舌,用于优异的区分和敏感定量的硫醇。传感单元通过分别与三种过渡金属离子(Fe、Cu 和 Zn)配位来制备,其中邻苯二甲酸修饰的石墨烯量子点(TPA@GQDs)提供了足够的底物结合位点,同时形成了金属离子调控的催化活性中心。这样,在不同的金属离子-TPA@GQD 配合物中实现了对过氧化物酶样催化活性的不同程度的促进。基于金属离子和巯基之间的强结合亲和力,从 TPA@GQDs 中去除了催化活性中心,从而不同程度地抑制了传感单元的催化活性。因此,在存在过氧化氢(HO)的情况下,使用 3,3',5,5'-四甲基联苯胺(TMB)作为显色底物,每个传感单元都可以为六种硫醇分析物产生不同的比色信号(指纹),通过线性判别分析(LDA)可以准确区分,检测限为 50 nM。此外,还可以区分具有不同浓度和硫醇混合物的相同硫醇。此外,受实际样品中不同巯基水平的启发,该传感器阵列通过机器学习算法实现了对与巯基相关疾病的识别,这对医学诊断做出了积极贡献。