Cocoa Pod Husk Physicochemical Properties Across Five Genotypes and Drying Temperatures
by Jhully Martínez-Giraldo·Updated 2mo ago
2.0 MB1files
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Description
This dataset analyzes the physicochemical, thermal, and structural properties of cocoa pod husk from five Colombian genotypes under two convective drying regimes. It includes measurements from techniques like DSC, FTIR, XRD, NIR, particle size, and ζ-potential analyses. The study quantifies differences in moisture, color, elemental composition, crystallinity indices, and thermal transitions.
Use Cases
Analyze the relationship between drying temperature (40 and 60 °C) and crystallinity indices from XRD data across five cocoa genotypes.
Model thermal transition regions and enthalpy variations from DSC analysis as a function of genotype and drying temperature.
Correlate FTIR and NIR spectral data confirming cellulose, hemicellulose, and lignin functional groups with particle size and ζ-potential stability metrics.
Compare elemental composition (C, H, O, N) and color parameter differences between genotypes LUKER-40, FSV-41, CCN-51, FEAR-5, and TCS-01.
Strengths
Data is derived from five distinct Colombian cocoa genotypes (LUKER-40, FSV-41, CCN-51, FEAR-5, TCS-01), enabling comparative analysis.
Properties are analyzed under two controlled convective drying temperatures (40 °C and 60 °C), isolating temperature effects.
Characterization uses multiple advanced techniques including DSC, FTIR, XRD, NIR, particle size, and ζ-potential analyses.
Quantifies specific ranges for metrics like crystallinity indices (22.75 to 34.31%).
Limitations
The dataset is small (2.0 MB DOCX file), likely containing summary results rather than extensive raw tabular data.
Exact row and column counts are unknown, limiting assessment of dataset scale and structure for direct ML application.
Geographic scope is limited to Colombian cocoa genotypes, which may not be representative of global varieties.
Provenance
Source
figshare
Collection Method
Experimental analysis using DSC, FTIR, XRD, NIR, particle size, and ζ-potential techniques on lab samples.
Freshness
Last updated 2026-03-20.
Geography
Colombia
Primary data is in a 2.0 MB DOCX document, which may require extraction or manual parsing to access structured data; license is CC BY 4.0.