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Updated: Sep 13, 2025

Characterization of Biological Absorption Spectra Spanning the Visible to the Short-Wave Infrared
Published on: January 10, 2025
A universal model to predict DOC removal by coagulation based on UV-Visible absorption spectrum.
Yang Deng1, Hanzhe Wang1, Lei Zheng2
1Department of Environmental Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing, 100871, China.
Predicting dissolved organic matter (DOM) removal in drinking water treatment is challenging. This study shows a new method using UV-Vis spectroscopy to accurately predict DOM removal by coagulation, improving water treatment plant efficiency.
Area of Science:
- Water treatment technologies
- Environmental chemistry
- Spectroscopic analysis
Background:
- Dissolved organic matter (DOM) in drinking water reacts with disinfectants to form harmful disinfection byproducts (DBPs).
- Effective DOM removal is critical for safe drinking water, but predicting coagulation performance is difficult due to varying water sources and seasonal conditions.
- Current methods lack online characterization of DOM reactivity, hindering intelligent control in drinking water treatment plants (DWTPs).
Purpose of the Study:
- To develop a predictive model for dissolved organic carbon (DOC) removal during coagulation.
- To establish a link between DOM properties measurable by UV-Vis spectroscopy and coagulation efficiency.
- To enable intelligent control and optimize coagulation processes in DWTPs.
Main Methods:
- Analysis of DOC removal variations based on maximum removable DOC (DOCmax), alkalinity, coagulant type, and dosage.
- Characterization of DOM using Ultraviolet-Visible (UV-Vis) absorbance spectra.
- Deconvolution of UV-Vis spectra to identify absorbance Band A3 and its correlation with DOCmax.
Main Results:
- DOC removal is primarily determined by DOCmax, source water alkalinity, and coagulant parameters.
- A strong correlation (R² = 0.84) was found between DOCmax and the properties of absorbance Band A3 in the UV-Vis spectra.
- A universal model accurately predicts DOC removal using UV-Vis spectra across diverse water conditions (R² = 0.93).
Conclusions:
- Absorbance Band A3, identifiable via UV-Vis spectroscopy, serves as a key indicator for predicting DOCmax.
- The developed universal model enables accurate prediction of coagulation performance for DOC removal.
- These findings facilitate the development of smart dosing systems for enhanced coagulation control in DWTPs.
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