ArticleData in brief2025
Dataset on fuel properties and volatile organic compounds from chemically synthesized biomass components for modeling and predicting biomass properties in pyrolysis processes.
Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This data set provides a controlled and precise analysis of chemically synthesized biomass mixtures, focusing on the key structural components - lignin, cellulose, and hemicellulose - in specific ratios. The biochars were produced at 200°C to 600°C, yielding 204 biochar samples and 12 crude blends. Detailed data include parameters such as mass yield (MY), energy density ratio (EDr), and energy yield (Ey), as well as bulk density, moisture content, organic matter, elemental analysis (C, H, N, S, O), higher heating value (HHV) and ash-free heating value (HHVdaf). In addition, an analysis of volatile organic compounds (VOCs) released from biochar was also conducted, providing key insights into the emissions associated with biochar production. The dataset facilitates accurate modeling and predicting biomass properties under thermal conditions, supporting bioenergy and materials science research. The analyses were conducted in triplicate, generating 612 data points for each parameter. This dataset provides a valuable foundation for research involving lignocellulosic materials, enabling consistent characterization, reproducibility, and comparative analysis for future research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.