期刊
SENSORS
卷 22, 期 2, 页码 -出版社
MDPI
DOI: 10.3390/s22020427
关键词
strawberry; impact damage; electronic-nose; GC-MS; volatile organic compound
This study investigates the use of electronic nose technology to detect strawberries with impact damage. The results show that the e-nose technology can effectively detect strawberries that have suffered impact damage, but the accuracy of predicting the occurrence time of impact is poor.
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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