De studie van nieuwe sorteerparameters voor de kwaliteitsklassering van groenten en fruit.

Student thesis: Master's Thesis


This thesis focuses on a spectroscopic research in the visible part of the electromagnetic spectrum of different fruit and vegetables. The main objective was to identify the wavelength(s)(areas) that are the most sensitive to variations in pigment composition. With this we try to meet the ever growing demand from society as well as the (sorting) industry to classify food products on their quality (ripening, senescence, browning). First, a literature study of the different pigments and pigment metabolisms which are found in fruits and vegetables was made. Once a better understanding obtained, a selection of products that best embodied the various quality states and the imposed requirements for product identification could be made. Subsequently, a suitable measurement setup for the spectroscopic measurements was selected. Finally, an analysis of the measured spectra learned us for each product if the quality-related "sorting parameters" retrieve their information from the full spectrum (color and/or principal component analysis) or if they can be calculated from reflectances at only a limited number of wavelengths (spectral indices). For each product group it was examined which of these parameters were the most suitable and which of these sorting parameters could potentially be implemented, for instance in laser sorting machines.
Date of Award2011
Original languageDutch
SupervisorHugo Thienpont (Promotor) & Wendy Meulebroeck (Co-promotor)


  • optical spectroscopy
  • optical sensing
  • food sorting

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