Predicting biomass global warming potential with FT-NIR spectroscopy

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dc.contributor.authorGyawali, Prakash
dc.contributor.authorShrestha, Bijendra
dc.contributor.authorPhanomsophon, Thitima
dc.contributor.authorPosom, Jetsada
dc.contributor.authorPornchaloempong, Pimpen
dc.contributor.authorSirisomboon, Panmanas
dc.contributor.authorShrestha, Bim Prasad
dc.contributor.authorFunke, Axel
dc.date.accessioned2026-08-06T10:53:01Z
dc.date.available2026-08-06T10:53:01Z
dc.date.issued2025-12-01
dc.description.abstractThis research is to predict the global warming potential (GWP) of biomass by using Fourier transform near-infrared (FT-NIR) spectroscopy. A partial least squares regression model of 197 biomass chip samples was developed for predicting GWP of fast-growing trees and agricultural residues. The reference value of GWP of biomass sample was calculated by the method provided by Intergovernmental Panel on Climate Change (IPCC). After applying different spectral pretreatments and variable selection methods, the best model for predicting GWP was found using the 1st derivative spectrum pretreatment and covariance method (COVM) based variable selection. The results indicate GWP model exhibit good predictive capabilities, where the model can be usable with caution for any purpose including research, by achieving a coefficient of determination for prediction set (R<sup>2</sup><inf>P</inf>) of 0.86, and ratio of prediction to deviation (RPD) of 2.6. Additionally, the RMSEP of 0.00063 suggests a low prediction error. This pioneering approach presents a swift and efficient means to determine GWP, the complex functionality parameter, which reveals an optimal relationship model, showcasing its efficacy in a significant advancement in the assessment of biomass functionality related to climate change issue. Additionally, the further research is recommended to integrate FT-NIR data with thermogravimetric analyser to simulate of different thermal conversion of biomass type where different emission gases are generated and with gas chromatography–mass spectrometry for evaluation of concentration of the generated gases for further refine GWP predictions which providing more comprehensive insights and exact content of emission gases affect global warming to support the IPCC.
dc.identifier.citationScientific Reports, 15(1), 2025
dc.identifier.doi10.1038/s41598-025-10584-z
dc.identifier.issn20452322
dc.identifier.other2-s2.0-105017807489
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/17451
dc.sourceScientific Reports
dc.subjectBiomass emission
dc.subjectClimate change
dc.subjectGlobal warming potential
dc.subjectNIR
dc.titlePredicting biomass global warming potential with FT-NIR spectroscopy
dc.typeArticle

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