Food and Bioprocess Technology

, Volume 7, Issue 10, pp 2951–2961

Forecast of Apple Internal Quality Indices at Harvest and During Storage by VIS-NIR Spectroscopy

  • Timea Ignat
  • Susan Lurie
  • Juliana Nyasordzi
  • Viacheslav Ostrovsky
  • Haim Egozi
  • Aharon Hoffman
  • Haya Friedman
  • Asya Weksler
  • Ze’ev Schmilovitch
Original Paper

DOI: 10.1007/s11947-014-1297-7

Cite this article as:
Ignat, T., Lurie, S., Nyasordzi, J. et al. Food Bioprocess Technol (2014) 7: 2951. doi:10.1007/s11947-014-1297-7

Abstract

Harvest date is generally established by monitoring small batches of fruit prior to harvest for changes in maturity parameters such as firmness, starch index, and total soluble solid content using destructive methods. Substituting this method with nondestructive visible-near infrared (VIS-NIR) spectrophotometers could save manpower hours and improve accuracy for harvesting for prolonged storage. Six hundred apples (Malusdomestica Borkh.) from three different orchards for each of three cultivars, “Granny Smith,” “Pink Lady,” and “Starking” were used to build calibration and validation models in different spectral regions. Two instruments, VIS-NIR (340–1,014 nm) and short-wavelength near-infrared (SWIR) (850–1,888 nm) spectrophotometers, measured the apples at harvest both in a static position and on a moving cell conveyer, and these measurements were used to predict total soluble solid (TSS) content, titratable acidity (TA), and firmness at harvest and after 2, 4, and 6 months of 0 °C storage. Starch was also predicted at harvest. The best R2 values were for TSS and starch (0.86 to 0.91) while TA and firmness predictions were less precise (0.53 to 0.78). The findings of the study indicate that the method offers potential for nondestructive prediction of ripeness and quality parameters of different cultivars of apples originating from different orchards. Moreover, the method enables forecasting of apple internal composition changes during storage based on the spectral signature at the time of harvest. Application of the results of this study could serve as a basis for the development of an automatic system for forecasting of apple internal composition change and of a sorting system.

Keywords

Soluble solid content Ripening Titratable acidity Firmness Starch Nondestructive analysis 

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Timea Ignat
    • 1
  • Susan Lurie
    • 2
  • Juliana Nyasordzi
    • 2
  • Viacheslav Ostrovsky
    • 1
  • Haim Egozi
    • 1
  • Aharon Hoffman
    • 1
  • Haya Friedman
    • 2
  • Asya Weksler
    • 2
  • Ze’ev Schmilovitch
    • 1
  1. 1.Institute of Agricultural Engineering, Volcani CenterAgricultural Research OrganizationBet DaganIsrael
  2. 2.Department of Postharvest Science, Volcani CenterAgricultural Research OrganizationBet DaganIsrael

Personalised recommendations