Predicting biomass global warming potential with FT-NIR spectroscopy

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dc.contributor.authorPrakash Gyawali
dc.contributor.authorBijendra Shrestha
dc.contributor.authorThitima Phanomsophon
dc.contributor.authorJetsada Posom
dc.contributor.authorPimpen Pornchaloempong
dc.contributor.authorPanmanas Sirisomboon
dc.contributor.authorBim Prasad Shrestha
dc.contributor.authorAxel Funke
dc.date.accessioned2026-05-08T19:18:56Z
dc.date.issued2025-9-30
dc.description.abstract) 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.doi10.1038/s41598-025-10584-z
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/16777
dc.publisherScientific Reports
dc.subjectThermochemical Biomass Conversion Processes
dc.subjectAgriculture Sustainability and Environmental Impact
dc.subjectForest Biomass Utilization and Management
dc.titlePredicting biomass global warming potential with FT-NIR spectroscopy
dc.typeArticle

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