Issue 43, 2019

Carbon dot-based colorimetric sensor array for the discrimination of different water samples

Abstract

Herein, a colorimetric sensor array has been introduced which uses carbon dots (CDs) to distinguish between different water samples. The basis of the method is that CDs interact differently with heavy metal ions in the presence of different water samples. The color change resulting from this interaction is recorded by a digital camera, and RGB values are analyzed by unsupervised and supervised chemometric methods, such as hierarchical cluster analysis (HCA), principal component analysis (PCA) and linear discriminant analysis (LDA). To increase the variables in the designed array, instead of using different CDs, the interaction of a single CD with different heavy metal ions and at different concentration levels is employed. The efficiency of the colorimetric sensor array in discriminating between deionized water and three real water samples was excellent. In addition to efficiency, the designed colorimetric sensor array is simple and inexpensive.

Graphical abstract: Carbon dot-based colorimetric sensor array for the discrimination of different water samples

Supplementary files

Article information

Article type
Paper
Submitted
07 Jul 2019
Accepted
12 Aug 2019
First published
11 Oct 2019

Anal. Methods, 2019,11, 5584-5590

Carbon dot-based colorimetric sensor array for the discrimination of different water samples

M. Shariati-Rad and Z. Ghorbani, Anal. Methods, 2019, 11, 5584 DOI: 10.1039/C9AY01439J

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements