关键词: Colorimetric sensor array Iron-based carbon material Oxidase-like nanozymes Sulfur-containing compounds

Mesh : Carbon / chemistry Iron / chemistry analysis Colorimetry / methods Benzidines / chemistry Humans Sulfur Compounds / analysis chemistry Principal Component Analysis Cell Line, Tumor Limit of Detection Oxidation-Reduction Oxidoreductases Hydrogen Peroxide / chemistry analysis

来  源:   DOI:10.1016/j.jhazmat.2024.134127

Abstract:
Developing methods for the accurate identification and analysis of sulfur-containing compounds (SCCs) is of great significance because of their essential roles in living organisms and the diagnosis of diseases. Herein, Se-doping improved oxidase-like activity of iron-based carbon material (Fe-Se/NC) was prepared and applied to construct a four-channel colorimetric sensor array for the detection and identification of SCCs (including biothiols and sulfur-containing metal salts). Fe-Se/NC can realize the chromogenic oxidation of 3,3\',5,5\'-tetramethylbenzidine (TMB) by activating O2 without relying on H2O2, which can be inhibited by different SCCs to diverse degrees to produce different colorimetric response changes as \"fingerprints\" on the sensor array. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) revealed that nine kinds of SCCs could be well discriminated. The sensor array was also applied for the detection of SCCs with a linear range of 1-50 μM and a limit of detection of 0.07-0.2 μM. Moreover, colorimetric sensor array inspired by the different levels of SCCs in real samples were used to discriminate cancer cells and food samples, demonstrating its potential application in the field of disease diagnosis and food monitoring. ENVIRONMENTAL IMPLICATIONS: In this work, a four-channel colorimetric sensor array for accurate SCCs identification and detection was successfully constructed. The colorimetric sensor array inspired by the different levels of SCCs in real samples were also used to discriminate cancer cells and food samples. Therefore, this Fe-Se/NC based sensor array is expected to be applied in the field of environmental monitoring and environment related disease diagnosis.
摘要:
由于含硫化合物(SCCs)在生物体和疾病诊断中的重要作用,因此开发准确鉴定和分析含硫化合物(SCCs)的方法具有重要意义。在这里,制备了硒掺杂改善的铁基碳材料(Fe-Se/NC)的类氧化酶活性,并将其用于构建四通道比色传感器阵列,用于检测和鉴定SCC(包括生物硫醇和含硫金属盐)。Fe-Se/NC可以实现3,3'的显色氧化,5,5'-四甲基联苯胺(TMB)通过激活O2而不依赖于H2O2,可以被不同的SCC抑制到不同的程度,以产生不同的比色响应变化,如传感器阵列上的“指纹”。主成分分析(PCA)和层次聚类分析(HCA)表明,可以很好地区分9种SCC。传感器阵列还用于检测SCC,线性范围为1-50μM,检测限为0.07-0.2μM。此外,比色传感器阵列受到真实样本中不同级别SCC的启发,用于区分癌细胞和食物样本,证明了其在疾病诊断和食品监测领域的潜在应用。环境含义:在这项工作中,成功构建了用于准确识别和检测SCC的四通道比色传感器阵列.受真实样品中不同SCC水平启发的比色传感器阵列也用于区分癌细胞和食物样品。因此,这种基于Fe-Se/NC的传感器阵列有望应用于环境监测和环境相关疾病诊断领域。
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