4.5 Article

Application of Visible Aquaphotomics for the Evaluation of Dissolved Chemical Concentrations in Aqueous Solutions

Journal

PHOTONICS
Volume 8, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/photonics8090391

Keywords

aquaphotomics; biophysics; concentration evaluation; spectra; spectrophotometry; visible light; multivariate data analysis

Categories

Funding

  1. Ministry of Education, Youth and Sports of the Czech Republic project CENAKVA [LM2018099]
  2. CENAKVA Centre Development [CZ.1.05/2.1.00/19.0380]
  3. project Biodiversity [CZ.02.1.01./0.0/0.0/16/025/0007370]
  4. GAJU [013/2019/Z]

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This paper introduces a novel research method in aquaphotomics that extends the study of water-light interactions to the visible spectral range. The visible spectral range was used to quantify NaCl concentration in aqueous samples through multivariate analysis, with successful evaluation of concentration changes in visible light. The approach has the potential to reduce costs and increase speed of spectral measurements while providing additional information by extending the useful range in spectrophotometry.
This paper introduces novel research in aquaphotomics, extending the study of water-light interactions to the visible spectral range. This approach can potentially reduce the cost and increase the speed of spectral measurements, while providing additional information by extending the useful range in spectrophotometry. To demonstrate our method, we investigated the applicability of the visible spectral range for the quantification of NaCl dissolved in aqueous samples. Spectral measurements were conducted using a visible spectrometer in the range of 380-730 nm. The evaluation of molecular species concentration was based on multivariate analysis (MVA). Principal component analysis (PCA) showed a separation of all groups of samples by salt concentration. The partial least squares regression (PLSR) model presented high accuracy and a relationship between spectral variables in the visible range and NaCl concentration in water. The validity of the regression model was confirmed through independent prediction of NaCl concentration values in test samples with unknown concentrations. The presented results demonstrate the success of the approach in evaluating concentration changes in visible light, and thus extend the measurable spectral range of such analysis.

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