Determination of Postharvest Quality of Cucumbers Using Nuclear Magnetic Resonance and Electronic Nose Combined with Chemometric Methods |
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| Authors: | Lei Feng Min Zhang Bhesh Bhandari Zhimei Guo |
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| Affiliation: | 1.State Key Laboratory of Food Science and Technology, School of Food Science and Technology,Jiangnan University,Wuxi,China;2.International Joint Laboratory on Food Safety,Jiangnan University,Wuxi,China;3.Jiangsu Province Key Laboratory of Advanced Food Manufacturing Equipment and Technology,Jiangnan University,Wuxi,China;4.School of Agriculture and Food Sciences,University of Queensland,Brisbane,Australia;5.Wuxi Delin Boat Equipment Co.,Wuxi,China |
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| Abstract: | The purpose of this study was to investigate changes in water status and flavor characteristics of cucumbers during postharvest storage and to trace the quality attributes using partial least squares (PLS) and support vector machine (SVM). The results showed that four distinct water populations were identified in cucumbers by nuclear magnetic resonance (NMR), and the changes of water mobility and distribution occurred mainly in pulp of cucumbers. Flavor characteristics of cucumbers at different storage stages were distinguished by electronic nose (e-nose), and four clusters could be achieved through hierarchical clustering analysis. Comparison of two models, excellent prediction performances for firmness, pH, SSC, and ΔE of postharvest cucumbers were obtained using a combination method of e-nose technology and SVM algorithm. This study indicated that there were significant changes in the quality parameters of cucumbers during postharvest storage, which were related to water status and flavor characteristics. The combination of e-nose technology with the SVM algorithm offers a promising technique to monitor cucumber quality. |
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