PREDICTION OF THE PRE- AND POSTHARVEST APRICOT QUALITY WITH DIFFERENT VIS/NIRS DEVICES
The aim of this study was to determine the quality of several apricot cultivars by non-destructive VIS/NIR spectroscopy using different devices.
In order to determine non-destructively the soluble solids content (SSC), titratable acidity, firmness and ground colour values of apricot, NIRs spectra and data obtained from destructive tests were subjected to PLS regressions (Partial Least Square Regression). In a first approach, a portable device was used in order to predict and to follow-up the fruit quality and maturity on tree for the cultivar Orangered®. Calibration models allowing the determination of soluble solids content (SSC), titratable acidity, firmness and ground colour were carried out with high precision.
SSC was determined with a root mean square error of cross-validation (RMSECV) of 0.62°Brix, titratable acidity was determined with RMSECV of 1.45 meq/100 g, firmness with RMSECV of 6.3 DI and ground colour intensity with RMSECV of 2.4 (a*). R-values were situated between 0.49 and 0.66. External validation of the models gave similar levels of precision.
In a second approach, two devices were tested for the prediction of the post-harvest quality of 40 apricot cultivars.
Global models combining 40 cultivars were carried out with high precision for the non-destructive determination of SSC and with reliable precision for firmness in post-harvest.
Depending on the device used, SSC was determined with RMSECV-values between 0.58 and 0.71°Brix and R-values between 0.94 and 0.95 and firmness with RMSECV-values between 8.4 and 9.1 DI and R-values between 0.77 and 0.85. Such results show the potential of the VIS/NIR technology as a non-destructive tool for measuring apricot quality and for the follow-up of this quality from the orchard and along the whole supply chain.
Christen, D., Camps, C., Summermatter, A., Gabioud Rebeaud, S. and Baumgartner, D. (2012). PREDICTION OF THE PRE- AND POSTHARVEST APRICOT QUALITY WITH DIFFERENT VIS/NIRS DEVICES. Acta Hortic. 966, 149-153
DOI: 10.17660/ActaHortic.2012.966.23
https://doi.org/10.17660/ActaHortic.2012.966.23
DOI: 10.17660/ActaHortic.2012.966.23
https://doi.org/10.17660/ActaHortic.2012.966.23
Prunus armeniaca, pre- and postharvest quality, non-destructive measurement, VIS/NIR spectroscopy, prediction model
English
966_23
149-153