Aquaphotomics approach for monitoring different steps of purification process in water treatment systems

Jelena Muncan; Valentina Matovic; Strahinja Nikolic; Jelena Askovic; Roumiana Tsenkova

doi:10.1016/j.talanta.2019.120253

Aquaphotomics approach for monitoring different steps of purification process in water treatment systems

Talanta. 2020 Jan 1:206:120253. doi: 10.1016/j.talanta.2019.120253. Epub 2019 Aug 13.

Authors

Jelena Muncan¹, Valentina Matovic², Strahinja Nikolic³, Jelena Askovic⁴, Roumiana Tsenkova⁵

Affiliations

¹ Nanolab, Biomedical Engineering, Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, 11120, Belgrade 35, Serbia; Biomeasurement Technology Laboratory, Graduate School of Agricultural Science, Kobe University, 1-1, Rokkodai, Nada, Kobe, 657-8501, Japan. Electronic address: jmuncan@mas.bg.ac.rs.
² Nanolab, Biomedical Engineering, Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, 11120, Belgrade 35, Serbia. Electronic address: vmatovic@mas.bg.ac.rs.
³ Nanolab, Biomedical Engineering, Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, 11120, Belgrade 35, Serbia. Electronic address: strahinja.nikolic@gmail.com.
⁴ Nanolab, Biomedical Engineering, Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, 11120, Belgrade 35, Serbia. Electronic address: jelenaaskovic@yahoo.com.
⁵ Biomeasurement Technology Laboratory, Graduate School of Agricultural Science, Kobe University, 1-1, Rokkodai, Nada, Kobe, 657-8501, Japan. Electronic address: rtsen@kobe-u.ac.jp.

PMID: 31514899
DOI: 10.1016/j.talanta.2019.120253

Abstract

Currently, the water quality assessment is based on determination of a range of physico-chemical, and microbiological parameters, which is costly, time-consuming and requires multiple tests. Aquaphotomics strategy for water monitoring is based on the principle that the spectra of water are sensitive to all the chemical and physical perturbations, and as such reflect the state of water. In this study, aquaphotomics approach was applied on the near infrared spectra of water samples which underwent different filtration treatments performed by a commercially available water treatment system intended for the household use. The applicability of this approach was demonstrated using difference spectra, multivariate classification analysis and by visualizing the water spectral pattern in aquagrams. The results consistently showed that water samples produced by different filtration treatments have distinctive spectral patterns which characterize the state of water molecular network, and can be used for identification of the respective treatment, tracking efficiency of the treatment and monitoring the performance of water treatment systems.

Keywords: Aquaphotomics; Filtration; Near infrared spectroscopy; Water monitoring; Water treatment.