Environmental Chemistry· 2026Q2
Application of iterative space shrinkage approach i VISSA for accurate quantification of spectrally overlapping phenolic compounds in water matrices by multivariate calibration
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- Q2SCImago
- 2026year
Short summary
A new iterative space shrinkage approach (VISSA) combined with partial least squares regression accurately quantifies spectrally overlapping phenolic compounds in water matrices without complex analytical procedures.
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Key points
- Developed a multivariate calibration model using iterative space shrinkage (VISSA) and partial least squares regression.
- The model accurately quantifies spectrally overlapping phenolic compounds in water.
- Enables detection of phenols and nitro-derivatives at trace levels in complex water matrices.
- Avoids the need for complex and expensive analytical procedures.
AI-generated from the title and abstract; the full text is not read.
Abstract
Environmental context Phenol mixtures are an important pollutant due to their high toxicity on the aquatic environment. In this work, we developed a multivariate calibration model to detect phenol and nitro-derivatives in complex water bodies without the need for using complex and expensive analytical procedures. The developed model, using an iterative space shrinkage approach and partial least square regression, was able to select the most informative spectral data for phenols that needed for their detection at trace levels in natural waters.
The authors' abstract, as published at the source. Environmental Chemistry, 2026 · DOI ↗
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Field: Analytical Chemistry
Analytical ChemistryChemistry