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Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds

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 strawberri...

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Autores principales: Cao, Yang, Zhang, Yuchen, Lin, Menghua, Wu, Di, Chen, Kunsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780591/
https://www.ncbi.nlm.nih.gov/pubmed/35062387
http://dx.doi.org/10.3390/s22020427
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author Cao, Yang
Zhang, Yuchen
Lin, Menghua
Wu, Di
Chen, Kunsong
author_facet Cao, Yang
Zhang, Yuchen
Lin, Menghua
Wu, Di
Chen, Kunsong
author_sort Cao, Yang
collection PubMed
description 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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spelling pubmed-87805912022-01-22 Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds Cao, Yang Zhang, Yuchen Lin, Menghua Wu, Di Chen, Kunsong Sensors (Basel) Article 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. MDPI 2022-01-06 /pmc/articles/PMC8780591/ /pubmed/35062387 http://dx.doi.org/10.3390/s22020427 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cao, Yang
Zhang, Yuchen
Lin, Menghua
Wu, Di
Chen, Kunsong
Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds
title Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds
title_full Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds
title_fullStr Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds
title_full_unstemmed Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds
title_short Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds
title_sort non-destructive detection of damaged strawberries after impact based on analyzing volatile organic compounds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780591/
https://www.ncbi.nlm.nih.gov/pubmed/35062387
http://dx.doi.org/10.3390/s22020427
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