Chemometric Model for Rapid Determination of Syringyl/Guaiacyl Ratio in Non‐Wood by FT‐NIR Spectroscopic Data
Year: 2025
Type: article
Abstract: ABSTRACT The present study is to develop a cost‐effective, non‐destructive and rapid method for quantification of syringyl/guaiacyl (S/G) ratio content in non‐wood lignin, which is based on FT‐NIR spectroscopic data and chemometric modelling techniques. The S/G ratio in 22 non‐wood lignins was determined by wet chemical method. Then the same samples were run with FT‐NIR, and the spectroscopic data were pre‐processed with Savitzky–Golay (S–G) on their 1st and 2nd derivatives. As chemometric models, principal component regression (PCR) and partial least square regression (PLSR) were assessed for quantification of S/G ratio in non‐wood lignin with raw and pre‐treated FT‐NIR spectral data. Finally, for quantification of S/G ratio, PLSR showed the best predictive results (R2 = 99.90%) with FT‐NIR data after treating them with S–G filtered with its derivatives and leverage correction. This rapid and cost‐effective method is being proposed for the determination of S/G ratio in non‐wood lignin.
Source: Analytical Science Advances
DOI: 10.1002/ansa.70005
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,180
OpenAlex ID: W4408377671