NDLI: Testing of a VIS-NIR System for the Monitoring of Long-Term Apple Storage

Content Provider	Springer Nature Link
Author	Beghi, Roberto Giovanelli, Gabriella Malegori, Cristina Giovenzana, Valentina Guidetti, Riccardo
Copyright Year	2014
Abstract	The development of diseases during long-term storage of apples is a well-known issue causing loss of product for warehouses. Non-destructive characterization of fruit can be helpful in order to reduce waste and maximize apple quality. The aim of this study was to evaluate the applicability of visible and near-infrared (VIS-NIR) spectroscopy to monitor and manage lots of apples during long-term storage in a cold room. A bench-top VIS-NIR apparatus (600–1200 nm) was used to classify apples from two different cultivars, Golden Delicious and Red Delicious, based on their total soluble solids content (TSS). The evolution of the originally created classes was analyzed during 7 months of storage by monitoring TSS and firmness (peak force and penetration energy), and the estimation ability of the VIS-NIR device was evaluated. The results indicate that the spectroscopic technique allows for an accurate estimation of chemical-physical parameters for non-destructive classification of apples in homogeneous lots. Regarding the estimation ability of the compact VIS-NIR spectrophotometer, the results show good prediction ability both for total soluble solids content and firmness indices. The use of the instrument for on-line selection and classification of fruits is therefore desirable. This can lead to better management of postharvest storage and the destination of lots, with a consequent reduction in fruit wastage. This approach is important to plan the opening sequence of storage rooms during the winter season, providing the market with the best available products all year round.
Starting Page	2134
Ending Page	2143
Page Count	10
File Format	PDF
ISSN	19355130
Journal	Food and Bioprocess Technology
Volume Number	7
Issue Number	7
e-ISSN	19355149
Language	English
Publisher	Springer US
Publisher Date	2014-03-28
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Apple VIS-NIR spectroscopy Postharvest Storage Classification Food Science Chemistry/Food Science Agriculture Biotechnology
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Safety, Risk, Reliability and Quality Food Science Process Chemistry and Technology

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