A 3D printed chemiluminescence detector for the FIA determination of free available chlorine in concentrated chlorine dioxide solutions

Abstract

Chlorination is the most widely used and cost-effective method for disinfecting drinking water worldwide. Unfortunately, this approach leads to the formation of disinfection by-products (DBPs), which have been shown to increase the potential for cancer and other health issues. To minimize DBPs, many water treatment plants have turned to alternative disinfectants such as chlorine dioxide (ClO2). However, there have been reports of DBP formation when using ClO2 due to free available chlorine (FAC) contamination. A suitable method is needed to determine the FAC content in concentrated ClO2 solutions. This research addresses this need by focusing on the development of a simple flow-injection analyzer with a 3D printed chemiluminescence detector (FIA-3DCL). A gas-diffusion membrane module was used to isolate FAC from a quenched ClO2 solution, then react it with lophine reagent to produce chemiluminescent light. The analytical performance of the FIA-3DCL system was evaluated by performing calibration, method detection limit, accuracy, and precision studies. Three calibration data regression techniques were compared, with the logarithmic fit having the best results. Following these studies, commercially available ClO2 solutions were analyzed for FAC and used in spiking studies. Overall, the system provides a straightforward and automated method for determining μg L−1 levels of FAC in solutions with g L−1 levels of ClO2.

Graphical abstract: A 3D printed chemiluminescence detector for the FIA determination of free available chlorine in concentrated chlorine dioxide solutions

Supplementary files

Article information

Article type
Paper
Submitted
27 May 2025
Accepted
25 Sep 2025
First published
03 Oct 2025

Analyst, 2025, Advance Article

A 3D printed chemiluminescence detector for the FIA determination of free available chlorine in concentrated chlorine dioxide solutions

R. A. Snow, P. S. Simone, G. L. Emmert and M. A. Brown, Analyst, 2025, Advance Article , DOI: 10.1039/D5AN00581G

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