Guangxi Key Laboratory of Optical and Electronic Materials and Devices, College of Materials Science and Engineering, Guilin University of Technology, Guilin 541004, China.
Molecules. 2022 Jun 15;27(12):3843. doi: 10.3390/molecules27123843.
The simultaneous identification of multiple metal ions in water has attracted enormous research interest in the past few decades. We herein describe a novel method for multiple metal ion detection using a carbon quantum dots (CQDs)-based chemosensor array and the CQDs are functionalized with different amino acids (glutamine, histidine, arginine, lysine and proline), which act as sensing elements in the sensor array. Eleven metal ions are successfully identified by the designed chemosensor array, with 100% classification accuracy. Importantly, the proposed method allowed the quantitative prediction of the concentration of individual metal ions in the mixture with the aid of a support vector machine (SVM). The sensor array also enables the qualitative detection of unknown metal ions under the interference of tap water and local river water. Thus, the strategy provides a novel high-throughput approach for the identification of various analytes in complex systems.
在过去的几十年中,同时识别水中的多种金属离子引起了极大的研究兴趣。本文描述了一种使用基于碳量子点(CQDs)的化学传感器阵列同时检测多种金属离子的新方法,该方法将具有不同氨基酸(谷氨酰胺、组氨酸、精氨酸、赖氨酸和脯氨酸)官能化的 CQDs 用作传感器阵列中的传感元件。通过设计的化学传感器阵列成功识别了 11 种金属离子,分类准确率达到 100%。重要的是,该方法借助支持向量机(SVM)可以对混合物中各金属离子的浓度进行定量预测。该传感器阵列还可以在自来水和当地河水的干扰下定性检测未知金属离子。因此,该策略为在复杂体系中鉴定各种分析物提供了一种新颖的高通量方法。