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基于 Fe、Se 共掺杂碳材料的纳米酶传感器阵列用于含硫化合物的区分。

Nanozyme sensor array based on Fe, Se co-doped carbon material for the discrimination of Sulfur-containing compounds.

机构信息

School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China.

School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, 200 Xiao Ling Wei Street, Nanjing 210094, China.

出版信息

J Hazard Mater. 2024 May 15;470:134127. doi: 10.1016/j.jhazmat.2024.134127. Epub 2024 Mar 26.

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 O without relying on HO, 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

开发准确识别和分析含硫化合物 (SCCs) 的方法非常重要,因为它们在生物体内具有重要作用,并且可以用于疾病的诊断。在此,制备了硒掺杂改善的铁基碳材料 (Fe-Se/NC) 的氧化酶样活性,并将其应用于构建用于检测和识别 SCCs(包括生物硫醇和含硫金属盐)的四通道比色传感器阵列。Fe-Se/NC 可以通过激活 O 而无需依赖 HO 来实现 3,3',5,5'-四甲基联苯胺 (TMB) 的显色氧化,这可以被不同的 SCC 不同程度地抑制,从而在传感器阵列上产生不同的比色响应变化作为“指纹”。主成分分析 (PCA) 和层次聚类分析 (HCA) 表明,九种 SCCs 可以很好地区分。该传感器阵列还用于检测 SCCs,线性范围为 1-50 μM,检测限为 0.07-0.2 μM。此外,基于 SCCs 水平不同的比色传感器阵列还用于区分癌细胞和食物样本,表明其在疾病诊断和食品监测领域具有潜在的应用。环境影响:在这项工作中,成功构建了用于准确 SCCs 识别和检测的四通道比色传感器阵列。还使用基于 SCCs 水平不同的比色传感器阵列来区分癌细胞和食物样本。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与环境相关的疾病诊断领域。

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