Physicochemical Properties of Biocarbons from Four Biomass Feedstocks
by Tripathi, Neelima / Borealis Harvested Dataverse·Updated 4mo ago
Available on 1 platform
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Description
Physicochemical characterization data for biocarbons produced from coconut shell, switchgrass, rice husk, and shrimp shell biomass waste via pyrolysis. It supports comparative analysis of feedstock-dependent properties including ash content, thermal stability, elemental composition, morphology, and electrical conductivity. The data was generated by Neelima Tripathi to enable reproducibility and secondary analysis in sustainable materials research.
Use Cases
Compare ash content and thermal stability across the four biomass feedstocks (coconut shell, switchgrass, rice husk, shrimp shell) to identify optimal feedstock for specific applications.
Analyze relationships between elemental composition and electrical conductivity to model property-structure relationships in biocarbon materials.
Investigate feedstock-dependent morphology and particle size distribution to understand processing impacts on biocarbon physical structure.
Use functional group chemistry and carbon structural order data to correlate pyrolysis conditions with resulting material crystallinity.
Strengths
Data covers four distinct biomass waste feedstocks enabling comparative analysis.
Includes multiple characterization dimensions: physicochemical properties, morphology, and functional group chemistry.
Dataset is directly linked to a peer-reviewed manuscript, supporting reproducibility.
Limitations
The sample size (number of biocarbon samples or data points) is not specified.
Geographic origin or specific processing conditions for the biomass feedstocks may not be detailed, limiting generalizability.
Data freshness is unknown as the specific collection period is not provided.
Provenance
Source
Borealis Harvested Dataverse
Collection Method
Biocarbons were produced by pyrolysis from four biomass feedstocks and characterized using physicochemical analysis techniques.
Freshness
Last updated metadata indicates 2026-02-14, but data collection period is null.
Dataset includes native instrument output files and processed analysis files; users may require specific software or domain knowledge to utilize all data formats. License information is unknown.