ArticleSensors (Basel, Switzerland)2022
Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Fruit Damage Alters Headspace Volatile Chemistry and Host Attraction in Drosophila suzukii.Journal of chemical ecology · 2026Article
- Adaptive E-Nose: Integrating New Gas Sensors for Emerging Applications.Sensors (Basel, Switzerland) · 2026Article
- Discrimination of Inner Injury of Korla Fragrant Pear Based on Multi-Electrical Parameters.Foods (Basel, Switzerland) · 2023Article
- Development of electronic nose for detection of micro-mechanical damages in strawberries.Frontiers in nutrition · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Strawberries are susceptible to mechanical damage. The detection of damaged strawberries by their volatile organic compounds (VOCs) can avoid the deficiencies of manual observation and spectral imaging technologies that cannot detect packaged fruits. In the present study, the detection of strawberries with impact damage is investigated using electronic nose (e-nose) technology. The results show that the e-nose technology can be used to detect strawberries that have suffered impact damage. The best model for detecting the extent of impact damage had a residual predictive deviation (RPD) value of 2.730, and the correct rate of the best model for identifying the damaged strawberries was 97.5%. However, the accuracy of the prediction of the occurrence time of impact was poor, and the RPD value of the best model was only 1.969. In addition, the gas chromatography-mass spectrophotometry analysis further shows that the VOCs of the strawberries changed after suffering impact damage, which was the reason why the e-nose technology could detect the damaged fruit. The above results show that the mechanical force of impact caused changes in the VOCs of strawberries and that it is possible to detect strawberries that have suffered impact damage using e-nose technology.
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Registered trials
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