Sensory and Chemical Analysis of Tobacco Leaves from Henan Province

Xiujuan Xu published a dataset on figshare in May 2026 containing sensory and chemical analysis data for tobacco leaves. The data includes professional sensory evaluations and quantitative analysis of 29 chemical constituents via GC–MS for 47 leaf samples collected from three major producing areas in Henan Province. The study applied multivariate statistical approaches to construct a sensory quality evaluation model and investigate the effects of agronomic factors.

Use Cases

• Build predictive models for tobacco leaf sensory quality based on chemical composition data.
• Identify key aroma components influencing sensory attributes like sweet/fruity or green/woody characteristics.
• Study the effects of agronomic factors (e.g., fertilization, harvesting methods) on key chemical components.
• Apply principal component analysis (PCA) and correlation analysis techniques to agricultural chemistry data.

Strengths

• Data is based on 47 physical tobacco leaf samples collected from three distinct producing areas.
• Analysis includes quantitative measurement of 29 chemical constituents, including nicotine.
• Professional sensory evaluation was conducted alongside instrumental GC–MS analysis.
• The dataset is openly licensed under CC-BY-4.0.

Limitations

• The dataset is very small at 63.5 KB, suggesting limited scope.
• Samples are exclusively from Henan Province, limiting geographical generalizability.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Xiujuan Xu via figshare

Collection Method

Samples collected from three major tobacco-producing areas in Henan Province (Pingdingshan, Sanmenxia, Nanyang) and analyzed via professional sensory evaluation and GC–MS.

Freshness

Last updated 2026-05-11 05:29:42; freshness should be verified.

Geography

Henan Province, China, specifically Pingdingshan, Sanmenxia, and Nanyang.