Metabolomic Analysis of Light Quality Effects on Sun-Cured Tobacco Aroma

A study on the 'Cun Sanpi' tobacco variety investigating how light quality during curing affects leaf aroma and quality. The dataset includes results from chemical analysis, sensory evaluation, and GC-MS non-targeted metabolomics for three light treatments: natural light, natural light plus red, and natural light plus blue. The data was authored by Lijuan Chen and last updated on 2026-04-22.

Use Cases

• Identify key aroma-related metabolites in tobacco based on the 40 differential metabolites mentioned.
• Analyze the impact of specific light spectra on sugar and nicotine content based on the described chemical analysis results.
• Model metabolic pathway activation, such as carbohydrate or amino acid metabolism, based on the 23 enriched pathways identified.
• Correlate sensory traits like 'pleasant aftertaste' or 'mucosa irritation' with underlying metabolic profiles.

Strengths

• Includes data from three distinct experimental light treatments (NL, NL+R, NL+B).
• Metabolomic analysis identified 40 differential aroma-related metabolites and 23 enriched metabolic pathways.
• Combines multiple analysis methods: conventional chemical analysis, sensory evaluation, and GC-MS non-targeted metabolomics.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The primary data file is a 1.6 MB DOCX document, which may require extraction or conversion for analysis.

Provenance

Source

figshare

Collection Method

Experimental study applying light treatments during tobacco curing and analyzing leaves with chemical and metabolomic techniques.

Time Range

Experimental timeframe not specified in input.

Freshness

Last updated 2026-04-22 05:46:17; freshness should be verified.

Geography

Geographic scope of the study not specified in input.