Non-destructive prediction of 'Hass' avocado dry matter via FT-NIR spectroscopy
Wedding, Brett B., White, Ronald D., Grauf, Steve, Wright, Carole, Tilse, Bonnie, Hofman, Peter, and Gadek, Paul A. (2011) Non-destructive prediction of 'Hass' avocado dry matter via FT-NIR spectroscopy. Journal of the Science of Food and Agriculture, 91 (2). pp. 233-238.
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BACKGROUND: The inability to consistently guarantee internal quality of horticulture produce is of major importance to the primary producer, marketers and ultimately the consumer. Currently, commercial avocado maturity estimation is based on the destructive assessment of percentage dry matter (%DM), and sometimes percentage oil, both of which are highly correlated with maturity. In this study the utility of Fourier transform (FT) near-infrared spectroscopy (NIRS) was investigated for the first time as a non-invasive technique for estimating %DM of whole intact 'Hass' avocado fruit. Partial least squares regression models were developed from the diffuse reflectance spectra to predict %DM, taking into account effects of intra-seasonal variation and orchard conditions.
RESULTS: It was found that combining three harvests (early, mid and late) from a single farm in the major production district of central Queensland yielded a predictive model for %DM with a coefficient of determination for the validation set of 0.76 and a root mean square error of prediction of 1.53% for DM in the range 19.4–34.2%.
CONCLUSION: The results of the study indicate the potential of FT-NIRS in diffuse reflectance mode to non-invasively predict %DM of whole 'Hass' avocado fruit. When the FT-NIRS system was assessed on whole avocados, the results compared favourably against data from other NIRS systems identified in the literature that have been used in research applications on avocados.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||non-invasive assessment; near-infrared spectroscopy; avocado; dry matter; maturity|
|Date Deposited:||15 Apr 2011 01:14|
|FoR Codes:||07 AGRICULTURAL AND VETERINARY SCIENCES > 0706 Horticultural Production > 070605 Post Harvest Horticultural Technologies (incl Transportation and Storage) @ 50%
02 PHYSICAL SCIENCES > 0205 Optical Physics > 020503 Nonlinear Optics and Spectroscopy @ 50%
|SEO Codes:||82 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 8202 Horticultural Crops > 820214 Tropical Fruit @ 100%|
|Citation Count from Web of Science||