Lipid-Degrading Bacterial Strains and Consortium Performance for Oil Removal

Yi-Xuan Peng's dataset documents the isolation and performance of five lipid-degrading bacterial strains for treating lipid-rich water. The data likely contains results on extracellular lipase activity, degradation efficiency for substrates like olive oil, lard, and salad oil, and COD reduction measurements. The study, last updated in 2026, includes performance metrics for single strains and ratio-guided consortia, with a maximum reported removal efficiency of 85% within 12 hours.

Use Cases

• Training models to predict lipid degradation efficiency based on bacterial strain characteristics and substrate type.
• Analyzing the relationship between lipase activity levels and COD reduction in simulated lipid-rich environments.
• Optimizing microbial consortium ratios for enhanced bioremediation performance in wastewater treatment.
• Benchmarking the degradation performance of isolated bacterial strains against different lipid substrates like olive oil and lard.

Strengths

• Reports specific quantitative results, including lipase activity levels of 15.68–16.22 U/mL for two dominant strains.
• Documents a clear experimental outcome with a maximum lipid removal efficiency of 85% achieved within 12 hours.
• Compares performance across multiple variables, including different bacterial inoculation ratios and increasing olive oil concentrations (1–8%, v/v).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale ML tasks.
• The 1.8 MB file size suggests a small-scale experimental dataset.

Provenance

Source

Yi-Xuan Peng via figshare.

Collection Method

Data likely originates from a laboratory study involving bacterial isolation, enzymatic assays, and degradation efficiency experiments.

Freshness

Last updated 2026-06-02 23:07:51; freshness should be verified.