Prediction of the optimum harvest time of ‘Scarlet’ apples using DR-UV–Vis and NIR spectroscopy

• Published in: Postharvest biology and technology 2012-07, Vol.69, p.15-23
• Main Authors: Bertone, E., Venturello, A., Leardi, R., Geobaldo, F.
• Format: Article
• Language: English
• Subjects: apples; Biological and medical sciences; chlorophyll; color; Food industries; Fruit and vegetable industries; fruit quality; fruits; Fundamental and applied biological sciences. Psychology; Harvest date; least squares; Multivariate calibration; Near-infrared spectroscopy; PLS; prediction; reflectance; ripening; Ripening parameters; storage time; trees; UV–Vis analysis
• ISSN: 0925-5214; 1873-2356
• DOI: 10.1016/j.postharvbio.2012.02.009

Top: DR-Vis spectrum of ‘Scarlet’ apples, showing Chl a and Chl b peaks, (in addition to the antocyanins signal). Bottom left: integral of the Chl band during all the ripening period. Bottom right: plot of predicted and measured values for harvest periods (days), provided by the final PLS model developed from UV–Vis and NIR spectra using GA algorithm, test set validation. Data were reported as average of every harvest. RMSEP of the PLS model is reported. [Display omitted] ► UV–Vis analysis was used to monitor the chlorophyll content in the skin of apples. ► Calibrations for ripening parameters were obtained from processing of NIR data. ► BiPLS and GA–PLS algorithms were applied to NIR and UV–Vis datasets. ► These techniques provide a reliable tool to predict optimum harvest dates. Identification of harvest date plays a key role in the agro-food chain as the quality of fruit depends on the right harvesting time and appropriate storage conditions during the postharvest period. Destructive techniques, such as the use of some ripening parameters, suffer from several drawbacks that highlight the need for reliable non-destructive tools to determine ripeness stage. This work is focused on the study of ripening of red apples (‘Scarlet’), with the aim of better identifying the harvest date, by means of non-destructive analysis, through the characterization of each fruit ripening stage on the trees, with classical methods as a reference. UV–Vis analysis was applied in diffuse reflectance (DR) mode to monitor variations in the chlorophyll content of the skin of red apples during ripening on the tree, since the colour variation in red apples is difficult to observe during ripening, and the ground colour cannot be considered a valid tool to identify ripening. On the other hand, variation in the chlorophyll content, measured by means of in situ DR-UV–Vis spectroscopy, is a reliable indicator of the ripeness stage. The novelty of this work is that a backward interval–GA–partial least squares (PLS) model, based both on NIR and UV–Vis data, was used to predict the optimal harvesting time in a direct way. We also established an overview of fruit maturation through a comparison with UV–Vis analysis and calibrations of the ripening parameters.