Coal Biodesulfurization Efficiency Data for Two Coal Samples

Experimental data from a study on the effects of coal matrix structure on microbial desulfurization efficiency. The dataset includes results from desulfurization experiments using Pseudomonas putida on two coal samples (092a and 100b), with organic sulfur removal rates of 17.6% and 60.9% respectively. The data was authored by Chunming Ai and last updated on 2026-04 15.

Use Cases

• Modeling the relationship between coal aromaticity/condensation degree and desulfurization efficiency based on the described structural characteristics.
• Analyzing the selective degradation of sulfone-type sulfur versus thiophene, sulfide, and sulfoxide based on the described metabolic pathways.
• Benchmarking microbial desulfurization performance for different coal types based on the reported 17.6% and 60.9% removal rates.

Strengths

• Specific organic sulfur removal rates are provided (17.6% for 092a coal, 60.9% for 100b coal).
• Experimental methodology is described, including the use of XPS and FTIR characterization.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown.
• The dataset is very small at 13.0 KB, indicating limited scope.
• The primary file format is DOC, which may require conversion for computational analysis.

Provenance

Source

figshare, authored by Chunming Ai.

Collection Method

Laboratory experiments using Pseudomonas putida on two coal samples, with analysis via X-ray photoelectron spectroscopy (XPS) and Fourier transform infrared spectroscopy (FTIR).

Time Range

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Freshness

Last updated 2026-04-15 05:43:59.

Geography

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