Evidence map›Paper›PMID 41028210›Full record

ArticleScientific reports2025

Predicting biomass global warming potential with FT-NIR spectroscopy.

Prakash Gyawali, Bijendra Shrestha, Thitima Phanomsophon, Jetsada Posom, Pimpen Pornchaloempong, Panmanas Sirisomboon, Bim Prasad Shrestha, Axel Funke

Erratum issuedAbstract read
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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Prakash GyawaliDepartment of Agricultural Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, 10520, Thailand.
Bijendra ShresthaDepartment of Mechanical Engineering, School of Engineering, Kathmandu University, PO Box 6250, Dhulikhel, Nepal.
Thitima PhanomsophonOffice of Administrative Interdisciplinary Program on Agricultural Technology, School of Agricultural Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, 10520, Thailand.
Jetsada PosomDepartment of Agricultural Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen, 40002, Thailand. jetspo@kku.ac.th.
Pimpen PornchaloempongDepartment of Food Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, 10520, Thailand.
Panmanas SirisomboonDepartment of Agricultural Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, 10520, Thailand. panmanas.si@kmitl.ac.th.
Bim Prasad ShresthaDepartment of Mechanical Engineering, School of Engineering, Kathmandu University, PO Box 6250, Dhulikhel, Nepal.
Axel FunkeInstitute of Catalysis Research and Technology (IKFT), Karlsruhe Institute of Technology (KIT), Hermann-Von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.

Funding

School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Thailand Contract No: 2567-02-01-040
6 · The paper itself

Abstract

This 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

Indexed as

BiomassGlobal WarmingClimate ChangeLeast-Squares AnalysisSpectroscopy, Fourier Transform InfraredSpectroscopy, Near-InfraredBiomass emissionClimate changeGlobal warming potentialNIR

Identifiers

PMID41028210
PMCPMC12484551

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.