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Application of visible/near infrared spectroscopy to quality control of fresh fruits and vegetables in large‐scale mass distribution channels: a preliminary test on carrots and tomatoes
Author(s) -
Beghi Roberto,
Giovenzana Valentina,
Tugnolo Alessio,
Guidetti Riccardo
Publication year - 2018
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.8768
Subject(s) - postharvest , quality (philosophy) , near infrared spectroscopy , food science , environmental science , chemistry , horticulture , biology , physics , quantum mechanics , philosophy , epistemology
Abstract BACKGROUND The market for fruits and vegetables is mainly controlled by the mass distribution channel (MDC). MDC buyers do not have useful instruments to rapidly evaluate the quality of the products. Decisions by the buyers are driven primarily by pricing strategies rather than product quality. Simple, rapid and easy‐to‐use methods for objectively evaluating the quality of postharvest products are needed. The present study aimed to use visible and near‐infrared (vis/NIR) spectroscopy to estimate some qualitative parameters of two low‐price products (carrots and tomatoes) of various brands, as well as evaluate the applicability of this technique for use in stores. RESULTS A non‐destructive optical system (vis/NIR spectrophotometer with a reflection probe, spectral range 450–1650 nm) was tested. The differences in quality among carrots and tomatoes purchased from 13 stores on various dates were examined. The reference quality parameters (firmness, water content, soluble solids content, pH and colour) were correlated with the spectral readings. The models derived from the optical data gave positive results, in particular for the prediction of the soluble solids content and the colour, with better results for tomatoes than for carrots. CONCLUSION The application of optical techniques may help MDC buyers to monitor the quality of postharvest products, leading to an effective optimization of the entire supply chain. © 2017 Society of Chemical Industry