Institute of Industrial Science , The University of Tokyo , 4-6-1 Komaba , Meguro-ku, Tokyo 153-8505 , Japan.
Anal Chem. 2019 Nov 5;91(21):13627-13632. doi: 10.1021/acs.analchem.9b02822. Epub 2019 Oct 10.
Although the determination of oxyanions due to correlation with metabolic processes and diseases is in high demand, most of the developed methods are suffering from a shortage of a capability of on-site analysis, sensitivity, and user-friendliness. This paper introduces the first colorimetric chemosensor array targeting various anions including glyphosate. The proposed sensor benefits from some notable features such as utilizing only commercially available reagents, recognizing similarly structured compounds by biomaterial-free sensors, and providing a fingerprint-like response originating from pattern recognition. The detection mechanism is based on an anion sensing strategy named coordination binding-based sensor array (CBSA). In CBSA, competitive coordinative bonding of a metal ion (Zn) between a catechol dye (i.e., indicator) and target anions occurs, and changes in the optical properties of the dye represent the target's concentration. For data processing, two chemometrical techniques including linear discrimination analysis (LDA) and an artificial neural network (ANN) for pattern classification and regression/prediction purposes were successfully employed, respectively. Finally, the proposed chemosensor was subjected to glyphosate samples (commercial herbicide and tap water samples) and produced satisfactory results.
虽然由于与代谢过程和疾病的相关性，测定含氧阴离子的需求很高，但大多数已开发的方法都存在现场分析能力、灵敏度和易用性的不足。本文介绍了第一个针对包括草甘膦在内的各种阴离子的比色化学传感器阵列。所提出的传感器具有一些显著的特点，例如仅使用市售试剂、通过无生物材料的传感器识别结构相似的化合物，以及提供源自模式识别的类似指纹的响应。检测机制基于一种称为配位结合传感器阵列（CBSA）的阴离子传感策略。在 CBSA 中，金属离子（Zn）与邻苯二酚染料（即指示剂）和目标阴离子之间的竞争配位键合发生，染料光学性质的变化代表目标物的浓度。对于数据处理，分别成功地采用了两种化学计量学技术，包括线性判别分析（LDA）和人工神经网络（ANN），用于模式分类和回归/预测目的。最后，将所提出的化学传感器应用于草甘膦样品（商业除草剂和自来水样品），并取得了令人满意的结果。
