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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-8780591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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