journal article Open Access Nov 05, 2024

Quantifying the Abundance of Alkane Moieties in Lignins with FTIR Spectroscopy and PLS Regression; Estimating Grafting Degree of Esterification

ChemSusChem Vol. 18 No. 3 · Wiley
View at Publisher Save 10.1002/cssc.202400938
Abstract
AbstractAs society is rapidly converting from fossil‐based materials to greener alternatives, the valorization of lignin through chemical modification has been given considerable attention. Characterizing this highly heterogeneous biopolymer is a constant challenge, and an emerging strategy for dealing with variations in material characteristics is combining traditional analytical techniques with chemometrics, such as Fourier‐transform infrared (FTIR) spectroscopy with partial least squares regression (PLSR). Here, a calibration data set was built based on FTIR spectra and the total carbon‐hydrogen bond (CHB) content of mixtures of technical lignins and alkanes, meant to emulate esterified samples. From this data, a PLSR model was built which predicted the CHB content of esterified lignin reaction products with an RMSECV=5.685 mmol/g and RMSEPred=5.827 mmol/g, and from which the weight percentage of ester‐to‐lignin was determined. When compared to wet‐chemical analysis, good agreement between the techniques was found with an obtained RMSEPred=8.3 % and a R2Train=0.9752 for the degree of esterification. This indicates high model predictability and goodness of fit, and that the calibration data set successfully emulated esterified lignin samples.
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Details
Published
Nov 05, 2024
Vol/Issue
18(3)
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Funding
Norges Forskningsråd Award: 326876
Cite This Article
Fredrik Heen Blindheim, Jost Ruwoldt (2024). Quantifying the Abundance of Alkane Moieties in Lignins with FTIR Spectroscopy and PLS Regression; Estimating Grafting Degree of Esterification. ChemSusChem, 18(3). https://doi.org/10.1002/cssc.202400938
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