Metabolomics Raw Data for Study on Enhancing the Feed Value of Cassava Residue through Sol

Untargeted metabolomics data from a study on enhancing the feed value of cassava residue through solid-state fermentation. The dataset contains results from OPLS-DA modeling and univariate analysis, identifying 2,642 differential metabolites. It was authored by caizhi wei and shared on figshare under a CC-BY-4.0 license in April 2026.

Use Cases

• Identify key metabolites upregulated during fermentation based on the 1,694 elevated compounds.
• Analyze the reduction of organic acids like citric acid and α-ketoglutarate based on the 948 downregulated metabolites.
• Model the impact of Poly-γ-Glutamic Acid-Producing Bacillus subtilis on feed composition based on differential metabolite profiles.
• Study amino acid derivative enrichment (e.g., tryptophan, tyrosine, glutamine) in fermented agricultural byproducts.

Strengths

• Identifies a specific total of 2,642 differential metabolites.
• Reports 1,694 metabolites with significantly elevated levels and 948 with reduced levels post-fermentation.
• Applies a defined statistical threshold (VIP > 1 and FDR-adjusted p < 0.05).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Untargeted metabolomics analysis of cassava residue samples before and after solid-state fermentation.

Freshness

Last updated 2026-04-21 09:50:43; freshness should be verified