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The present study demonstrates the potential of confocal micro Raman spectroscopy together with data mining approaches such as principal component analysis and hierarchical cluster analysis for the nondestructive monitoring of pigment changes during the ripening of sweet cherries. The exocarp of young, premature, mature, pre-ripe, ripe, and post-ripe stages was analyzed using a 532 nm laser as the excitation source. The analysis of the spectral profile shows that scattering features of the carotenoids, anthocyanins, and other flavonoids can be used for interpreting the events taking place during ripening of the cherries and serve as a maturity and ripening index. The intensities of carotenoids bands decrease with a subsequent increase in the anthocyanin bands in the ripe fruit spectra in comparison to that of mature and pre-ripe stages. The results of the principal component analysis and hierarchical cluster analysis show that the complexity of the spectra is resolved by these approaches facilitating easy interpretation. The obtained results demonstrate the potential of confocal micro Raman spectroscopy with principal component and hierarchical cluster analysis for monitoring the ripening and determining quality attributes of the cherries nondestructively, rapidly, and sensitively. The results and spectral features are useful in conceptualizing fully automated instruments for cherry characterization and postharvest quality control.

Monitoring Pigment Dynamics Involved in the Ripening of Sweet Cherries Non-Destructively Using Confocal Micro Raman Spectroscopy