Evaluation of 3D laser scanning for estimation of heating-induced volume shrinkage and prediction of cooking loss of pork cuboids compared to manual measurements

Rozita Vaskoska, Minh Ha, Ha Thi Thu Tran, Kourosh Khoshelham, Jason D. White, Robyn D. Warner

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    1 Citation (Scopus)

    Abstract

    Meat shrinks and assumes an irregular shape during heating due to the varying distribution of connective tissue and extracellular spaces. The terrestrial 3D laser scanning technology is proposed as an alternative method to manual measurements to estimate the volume of irregularly shaped meat cuboids and to predict the cooking loss based on the heating induced volume shrinkage. Cuboids from aged pork loins (longissimus lumborum, n = 12) were heated at 50, 60, 70 or 80 °C for 30 min. Two methods of 3D reconstruction and volume estimation of the pork cuboids by laser scanning were used; without a base scan (laser-B) and with inclusion of a base scan (laser+B), as well as two methods based on manual caliper measurements of all twelve edges (caliper-12) or of three edges in each direction (caliper-3). Both laser scanning methods (Laser+B and Laser-B) resulted in greater volume estimates for the raw samples than the caliper-12 and caliper-3 measurements (38.3, 39.4 compared to 33.9, 34.8 cm3, respectively). Cooking loss across the different temperatures could be best predicted by the caliper-based perimeter shrinkage (r = 0.94, P < 0.001), followed by the caliper-based volume shrinkage estimates (r = 0.67 and 0.64 for caliper-12 and caliper-3, respectively, p < 0.001), while volume shrinkage measured by laser scanning had low (laser-B, r = 0.35, P < 0.05) or no correlation (laser+B, r = 0.17, P > 0.05) with the cooking loss. 3D laser scanning technologies can be considered by the food industry for 3D reconstruction and volume estimation, however improvements are needed in the data processing to allow for better predictability of meat quality attributes.
    Original languageEnglish
    Pages (from-to)938-947
    Number of pages10
    JournalFood and Bioprocess Technology
    Volume13
    Issue number6
    Early online date04 May 2020
    DOIs
    Publication statusPublished - 01 Jun 2020

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