4.7 Article

Measurement of free chlorine levels in water using potentiometric responses of biofilms and applications for monitoring and managing the quality of potable water

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 766, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2020.144424

Keywords

Free chlorine; Microbial Potentiometric Sensor; Biofilm electrodes; Drinking water distribution system monitoring; Developing world

Funding

  1. US Department of Energy, Office of Science, Office of Biological and Environmental Research [DE-SC0013194]
  2. U.S. Department of Energy (DOE) [DE-SC0013194] Funding Source: U.S. Department of Energy (DOE)

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This study introduces a method of predicting free chlorine levels in drinking water using graphite electrodes coated with microbial biofilms, offering a cost-effective alternative for monitoring free chlorine in drinking water distribution systems. The results demonstrate reasonable accuracy in predicting free chlorine levels, especially in developing countries, where this system's advantages of being inexpensive and low-maintenance make it a promising option.
Residual free chlorine is not monitored continuously at scale in drinking water distribution systems because existing real-time sensor technologies require frequent maintenance, cleaning, and calibration, which makes these products too costly to be used throughout a distribution system. As a result, current measurement approaches require manual sampling, which is not feasible for the consistent monitoring of free chlorine because chlorine concentrations vary significantly throughout pipeline distribution and over time and space. This research presents an alternative and cost-effective method of predicting free chlorine levels in drinking water using graphite electrodes coated with naturally grown microbial biofilms. This Microbial Potentiometric Sensor (MPS) array was installed in a Continuously Mixed Batch Reactor (CMBR), and drinking water containing variable free chlorine concentrations. The chlorine concentrations were introduced in a controlled manner, and the MPS signals were monitored over time. MPS signals were measured from the change in Open Circuit Potential (OCP) across the MPS array in real-time. An empirically derived relationship between the normalized change in OCP and free chlorine was established by fitting individual and average MPS data to a decaying exponential growth function in order to predict free chlorine levels. The results show that free chlorine can be predicted with reasonable accuracy, with model validation showing an average absolute error of +/- 0.09 ppm below 1.1 ppm and +/- 0.30 ppm between 1.1 and 2.7 ppm. However, the accuracy of predictions was reduced at higher free chlorine levels. The researchers conclude that MPS systems may benefit drinking water distribution systems by measuring free chlorine. These advantages of the MPS are especially pronounced in the developing world because this system is inexpensive and does not require routine maintenance or cleaning. The system relies on a naturally forming and regenerating biolilm and an inexpensive potentiometric meter to produce stable measurements. (C) 2020 Elsevier B.V. All rights reserved.

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