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    Preharvest calcium chloride sprays improving physicochemical quality of mulberries (Morus alba L. ‘Chiang Mai 60’) during refrigeration
    (2024-06-01)
    Supapvanich, S.
    ;
    Sangchan, P.
    ;
    Youryon, P.
    ;
    Ahuja, A. Junpatiw
    The aim of this work was to investigate the efficiency of preharvest CaCl2 sprays on quality of ‘Chiang Mai 60’ mulberries during refrigeration. The mulberries at the stage of 40 days after anthesis were sprayed with water (control), 0.5 or 1% CaCl2. The fruits were then harvested after spraying for 5 days and refrigerated at 5°C for 6 days. The visual appearance, texture, total soluble solids (TSS) content, total acidity (TA), antioxidant activities and certain secondary metabolites of the mulberries were monitored. Both CaCl2 sprays had no effect on the visual appearance during storage. Both CaCl2 sprays enhanced fruit firmness and delayed the fruit softening during refrigeration. Both CaCl2 treatments delayed the increased TSS content and maintained the TA content. Total phenols, ascorbic acid and anthocyanin contents of the mulberries were enhanced by the CaCl2 sprays. Both CaCl2 sprays delayed the decreased antioxidant capacity and enhanced the free radical scavenging activity during the refrigeration. The efficiency of 0.5 and 1% CaCl2 preharvest sprays on improving postharvest quality of the mulberries was not different. This indicates that CaCl2 preharvest sprays improved postharvest quality of the mulberries which 0.5% CaCl2 is the suggested concentration.
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    Detection of Hardening in Mangosteens Using near-Infrared Hyperspectral Imaging
    (2024-04-01)
    Workhwa, Saranya
    ;
    Khanthong, Thitirat
    ;
    Manmak, Napatsorn
    ;
    Thompson, Anthony Keith
    ;
    Teerachaichayut, Sontisuk
    Mangosteens can develop a postharvest physiological disorder, called “hardening”, which affects their marketability and is not detectable using visual inspection. The hardening disorder of mangosteens was determined by firmness value using the texture analyzer. Near-infrared hyperspectral imaging (NIR-HSI) in the region of 935–1720 nm was tested as a possible rapid and non-destructive method to detect this disorder. The spectra from a region of interest of mangosteens were acquired and used for analysis. Calibration models for firmness of a similarly sized group and a mixed-size group were established using partial least squares regression (PLSR) and support vector machine regression (SVMR). Chemometric algorithms were investigated in order to determine the optimal conditions for establishing the models for firmness. The optimum model was obtained when the fruit were graded into similarly sized groups. Using partial least squares regression (PLSR), the correlation coefficient of prediction (R<inf>p</inf>) was 0.87 and the root mean square error of prediction (RMSEP) was 6.25 N. The predictive images for firmness of the fruit were created by interpreting predicted firmness visualized as colors in every pixel. From the data, it was concluded that NIR-HSI can potentially be used to visualize hardening of individual mangosteens based on their predictive images.