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一种用于肉眼检测钴的快速原位比色测定法。

A Rapid In Situ Colorimetric Assay for Cobalt Detection by the Naked Eye.

作者信息

Kang Sung-Min, Jang Sung-Chan, Kim Gi Yong, Lee Chang-Soo, Huh Yun Suk, Roh Changhyun

机构信息

Biotechnology Research Division, Advanced Radiation Technology Institute (ARTI), Korea Atomic Energy Research Institute (KAERI), 29 Geumgu-gil, Jeongeup, Jeonbuk 56212, Korea.

Department of Chemical Engineering, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea.

出版信息

Sensors (Basel). 2016 May 2;16(5):626. doi: 10.3390/s16050626.

Abstract

A simple, rapid, and convenient colorimetric chemosensor of a specific target toward the end user is still required for on-site detection and real-time monitoring applications. In this study, we developed a rapid in situ colorimetric assay for cobalt detection using the naked eye. Interestingly, a yellow to light orange visual color transition was observed within 3 s when a Chrysoidine G (CG) chemosensor was exposed to cobalt. Surprisingly, the CG chemosensor had great selectivity toward cobalt without any interference of other metal ions. Under optimized conditions, a lower detection limit of 0.1 ppm via a spectrophotometer and a visual detection limit of 2 ppm with a linear range from 0.4 to 1 ppm (R² = 0.97) were determined. Moreover, the CG chemosensor is reversible and maintains its functionality after treatment with chelating agents. In conclusion, we show the superior capabilities of the CG chemosensor, which has the potential to provide extremely facile handling, high sensitivity, and a fast response time for applications of on-site detection to real-time cobalt monitoring for the general public.

摘要

对于现场检测和实时监测应用而言,仍然需要一种简单、快速且方便的针对终端用户的特定目标比色化学传感器。在本研究中,我们开发了一种使用肉眼快速原位比色法检测钴。有趣的是,当碱性菊橙(CG)化学传感器暴露于钴时,在3秒内观察到从黄色到浅橙色的视觉颜色转变。令人惊讶的是,CG化学传感器对钴具有高度选择性,不受其他金属离子的任何干扰。在优化条件下,通过分光光度计测定的下限检测限为0.1 ppm,视觉检测限为2 ppm,线性范围为0.4至1 ppm(R² = 0.97)。此外,CG化学传感器是可逆的,在用螯合剂处理后仍保持其功能。总之,我们展示了CG化学传感器的卓越性能,它有可能为普通公众提供极其简便的操作、高灵敏度和快速响应时间,用于现场检测到实时钴监测的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8884/4883317/5a8ce8f06ed3/sensors-16-00626-g001.jpg

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