Comprehensive Assessment of the Dynamics of Banana Chilling Injury by Advanced Optical Techniques

Green-ripe banana fruit are sensitive to chilling injury (CI) and, thus, prone to postharvest quality losses. Early detection of CI facilitates quality maintenance and extends shelf life. CI affects all metabolic levels, with membranes and, consequently, photosynthesis being primary targets. Optical techniques such as chlorophyll a fluorescence analysis (CFA) and spectroscopy are promising tools to evaluate CI effects in photosynthetically active produce. Results obtained on bananas are, however, largely equivocal. This results from the lack of a rigorous evaluation of chilling impacts on the various aspects of photosynthesis. Continuous and modulated CFA and imaging (CFI), and VIS remission spectroscopy (VRS) were concomitantly applied to noninvasively and comprehensively monitor photosynthetically relevant effects of low temperatures (5 degrees C, 10 degrees C, 11.5 degrees C and 13 degrees C). Detailed analyses of chilling-related variations in photosynthetic activity and photoprotection, and in contents of relevant pigments in green-ripe bananas, helped to better understand the physiological changes occurring during CI, highlighting that distinct CFA and VRS parameters comprehensively reflect various effects of chilling on fruit photosynthesis. They revealed why not all CFA parameters can be applied meaningfully for early detection of chilling effects. This study provides relevant requisites for improving CI monitoring and prediction.

Automated summary

Green-ripe banana fruit are sensitive to chilling injury and early detection of chilling effects on photosynthesis is crucial for quality maintenance. Optical techniques such as chlorophyll a fluorescence analysis and spectroscopy can be promising tools, but a rigorous evaluation of chilling impacts on photosynthesis is necessary.Continuous and modulated CFA, imaging, and VIS remission spectroscopy can comprehensively reflect various effects of chilling on fruit photosynthesis, providing relevant requisites for improving CI monitoring and prediction.