TY - JOUR
T1 - Research on COD measurement method based on UV-Vis absorption spectra of transmissive and reflective detection systems
AU - Xu, Xin
AU - Wang, Jihui
AU - Li, Jianan
AU - Fan, Axin
AU - Zhang, Yuhan
AU - Xu, Chang
AU - Qin, Haolin
AU - Mu, Feng
AU - Xu, Tingfa
N1 - Publisher Copyright:
Copyright © 2023 Xu, Wang, Li, Fan, Zhang, Xu, Qin, Mu and Xu.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - UV-Vis absorption spectroscopy
KW - chemical oxygen demand
KW - partial least squares
KW - support vector machine
KW - water quality
UR - http://www.scopus.com/inward/record.url?scp=85153489473&partnerID=8YFLogxK
U2 - 10.3389/fenvs.2023.1175363
DO - 10.3389/fenvs.2023.1175363
M3 - Article
AN - SCOPUS:85153489473
SN - 2296-665X
VL - 11
JO - Frontiers in Environmental Science
JF - Frontiers in Environmental Science
M1 - 1175363
ER -