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Updated: Feb 27, 2026

Fruit Volatile Analysis Using an Electronic Nose
Published on: March 30, 2012
Potential using of infrared thermal imaging to detect volatile compounds released from decayed grapes
Luyu Ding1, Daming Dong1, Leizi Jiao1
1National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Infrared thermal imaging can detect grape decay by analyzing volatile compounds. This method accurately classifies grape spoilage levels based on alcoholic volatiles, offering a rapid detection approach.
Area of Science:
- Food science
- Analytical chemistry
- Spectroscopy
Background:
- Fruit spoilage involves changes in volatile compound composition.
- Infrared spectroscopy offers a potential method for analyzing these volatile compounds.
- Discriminating fruit decay states is crucial for quality control.
Purpose of the Study:
- To develop and validate an infrared spectroscopy method for discriminating grape decay states.
- To simplify feature spectra extraction and visualize volatile compound gas plumes.
- To propose semi-quantitative indicators for analyzing volatilization gradients.
Main Methods:
- Utilized infrared spectroscopy on volatile compounds from decayed grapes.
- Employed a custom-made wavelength filter with an infrared thermal camera.
- Developed feature spectra extraction and gas plume visualization techniques.
- Proposed accumulated gray value and imaging area as semi-quantitative indicators.
Main Results:
- Successfully discriminated fresh, slightly/moderately decayed, and seriously decayed grapes.
- Achieved high classification ratings: 100% for fresh, 93.3% for serious decay, and 90% for slight/moderate decay.
- Demonstrated the method's effectiveness in analyzing alcoholic volatiles.
Conclusions:
- Infrared thermal imaging is a viable, rapid technique for assessing grape decay.
- The proposed method allows for semi-quantitative analysis of volatile compounds.
- This approach has potential applications in food quality and safety monitoring.
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