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Pomegranate Quality Evaluation Using Non-Destructive Approaches: A Review

Author

Listed:
  • Emmanuel Ekene Okere

    (SARChI Postharvest Technology Research Laboratory, Africa Institute for Postharvest Technology, Faculty of AgriSciences, Stellenbosch University, Stellenbosch 7600, South Africa
    Department of Electrical and Electronic Engineering, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa)

  • Ebrahiema Arendse

    (SARChI Postharvest Technology Research Laboratory, Africa Institute for Postharvest Technology, Faculty of AgriSciences, Stellenbosch University, Stellenbosch 7600, South Africa)

  • Alemayehu Ambaw Tsige

    (SARChI Postharvest Technology Research Laboratory, Africa Institute for Postharvest Technology, Faculty of AgriSciences, Stellenbosch University, Stellenbosch 7600, South Africa)

  • Willem Jacobus Perold

    (Department of Electrical and Electronic Engineering, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa)

  • Umezuruike Linus Opara

    (SARChI Postharvest Technology Research Laboratory, Africa Institute for Postharvest Technology, Faculty of AgriSciences, Stellenbosch University, Stellenbosch 7600, South Africa
    UNESCO International Centre for Biotechnology, Nsukka 410001, Nigeria)

Abstract

Pomegranate ( Punica granatum L.) is one of the most healthful and popular fruits in the world. The increasing demand for pomegranate has resulted in it being processed into different food products and food supplements. Researchers over the years have shown interest in exploring non-destructive techniques as alternative approaches for quality assessment of the harvest at the on-farm point to the retail level. The approaches of non-destructive techniques are more efficient, inexpensive, faster and yield more accurate results. This paper provides a comprehensive review of recent applications of non-destructive technology for the quality evaluation of pomegranate fruit. Future trends and challenges of using non-destructive techniques for quality evaluation are highlighted in this review paper. Some of the highlighted techniques include computer vision, imaging-based approaches, spectroscopy-based approaches, the electronic nose and the hyperspectral imaging technique. Our findings show that most of the applications are focused on the grading of pomegranate fruit using machine vision systems and the electronic nose. Measurements of total soluble solids (TSS), titratable acidity (TA) and pH as well as other phytochemical quality attributes have also been reported. Value-added products of pomegranate fruit such as fresh-cut and dried arils, pomegranate juice and pomegranate seed oil have been non-destructively investigated for their numerous quality attributes. This information is expected to be useful not only for those in the grower/processing industries but also for other agro-food commodities.

Suggested Citation

  • Emmanuel Ekene Okere & Ebrahiema Arendse & Alemayehu Ambaw Tsige & Willem Jacobus Perold & Umezuruike Linus Opara, 2022. "Pomegranate Quality Evaluation Using Non-Destructive Approaches: A Review," Agriculture, MDPI, vol. 12(12), pages 1-25, November.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:12:p:2034-:d:986637
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    References listed on IDEAS

    as
    1. Adegoke Olusesan Adetoro & Umezuruike Linus Opara & Olaniyi Amos Fawole, 2020. "Effect of Hot-Air and Freeze-Drying on the Quality Attributes of Dried Pomegranate ( Punica granatum L.) Arils During Long-Term Cold Storage of Whole Fruit," Agriculture, MDPI, vol. 10(11), pages 1-16, October.
    2. Ikechukwu Kingsley Opara & Olaniyi Amos Fawole & Candice Kelly & Umezuruike Linus Opara, 2021. "Quantification of On-Farm Pomegranate Fruit Postharvest Losses and Waste, and Implications on Sustainability Indicators: South African Case Study," Sustainability, MDPI, vol. 13(9), pages 1-20, May.
    3. Durga Prasad Penumuru & Sreekumar Muthuswamy & Premkumar Karumbu, 2020. "Identification and classification of materials using machine vision and machine learning in the context of industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 31(5), pages 1229-1241, June.
    4. Ikechukwu Kingsley Opara & Olaniyi Amos Fawole & Umezuruike Linus Opara, 2021. "Postharvest Losses of Pomegranate Fruit at the Packhouse and Implications for Sustainability Indicators," Sustainability, MDPI, vol. 13(9), pages 1-19, May.
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