Issue 40, 2017

In situ quantification of volatile ethanol in complex components based on colorimetric sensor array

Abstract

This paper presents a novel method for selection of chemically responsive dyes and ethanol quantification in mixed volatile organic compounds (VOCs) using a colorimetric sensor array (CSA). Chemically responsive dyes (mainly composed of metalloporphyrins) which were sensitive to volatile ethanol were selected according to their response values when exposed to it. The mechanism by which the chemically responsive dyes combined with volatile ethanol was investigated based on quantum-chemical calculations. Then, a CSA composed of 5,10,15,20-tetraphenyl-21H,23H-porphine zinc (TPP-Zn) and 5,10,15,20-tetraphenyl-21H,23H-porphine manganese (TPP-Mn) derivatives, which exhibited specific sensitivity to volatile ethanol, was synthesized for measurement of the volatile ethanol content. A tri-CCD camera was employed to capture images of the CSA. The difference map of the sensor array before and after exposure to VOCs was obtained, and further processed and transformed into digital data for subsequent analysis, and used to build prediction models. The model with the optimal performance displayed a root mean square error of prediction (RMSEP) of 3.101 and a correlation coefficient (R) of 0.9571 in the prediction set. This work presents a newly developed CSA using sensitive dyes based on quantum-chemical calculations, which has significant potential in quantitative analysis of volatile organic compounds.

Graphical abstract: In situ quantification of volatile ethanol in complex components based on colorimetric sensor array

Supplementary files

Article information

Article type
Paper
Submitted
05 Jul 2017
Accepted
17 Sep 2017
First published
18 Sep 2017

Anal. Methods, 2017,9, 5873-5879

In situ quantification of volatile ethanol in complex components based on colorimetric sensor array

H. Lin, Z. Man, B. Guan, Q. Chen, H. Jin and Z. Xue, Anal. Methods, 2017, 9, 5873 DOI: 10.1039/C7AY01639E

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