Research on COD measurement method based on UV-Vis absorption spectra of transmissive and reflective detection systems

Xin Xu, Jihui Wang*, Jianan Li*, Axin Fan, Yuhan Zhang, Chang Xu, Haolin Qin, Feng Mu, Tingfa Xu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

The world’s rapid industrialisation and population expansion have led to water pollution, causing significant disruption to the activities of humans, animals, and plants. Organic contamination content in water is commonly evaluated by measuring the chemical oxygen demand (COD). However, traditional COD detection methods often require additional reagents, resulting in secondary contamination and extended detection time. In this study, we propose and implement a reflective detection system that measures the UV-Vis absorption spectra of COD in water without contact measurement. We compared the modeling results of the transmissive and reflective detection systems using three regression analysis algorithms. We also assessed the modeling results using various spectral preprocessing and different feature selection bands. The results of the standard samples confirmed the viability of the reflective detection system for detecting COD, with the impressive coefficient of determination (R2) of 0.98892, the root mean square error (RMSE) of 2.86776, and the detection time of only 47.6 s. For the transmissive detection system, the R2 was 0.99976, the RMSE was 0.41979, and the detection time was 162.4 s. Overall, this study proposes two referenceable detection methods for measuring COD concentrations, which can be adapted to suit various job demands.

Original languageEnglish
Article number1175363
JournalFrontiers in Environmental Science
Volume11
DOIs
Publication statusPublished - 2023

Keywords

  • UV-Vis absorption spectroscopy
  • chemical oxygen demand
  • partial least squares
  • support vector machine
  • water quality

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