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Innovative non-destructive technologies for quality monitoring of pineapples: recent advances and applications


Citation

Mohd Ali, Maimunah and Hashim, Norhashila and Bejo, Siti Khairunniza and Jahari, Mahirah and Shahabudin, Nurul Aqilah (2023) Innovative non-destructive technologies for quality monitoring of pineapples: recent advances and applications. Trends in Food Science & Technology, 133. pp. 176-188. ISSN 0924-2244; ESSN: 1879-3053

Abstract

Background: Pineapples are important tropical fruits which serve as a vital source of minerals and have excellent nutritional composition. The quality evaluation of pineapple is an important factor in consumer preference, postharvest handling, and the commercial value of the fruit. Scope and approach: In this review, the external and internal quality attributes of pineapples are presented. This review also discusses the application of chemometrics and data mining which have been used to evaluate the quality attributes of pineapples. In this sense, non-destructive technologies have gained interest to ensure fruit quality evaluation since it offers a safer and more reliable way that is cost-effective without damaging the fruit. Key findings and conclusions: Special attention is focused on the emerging non-destructive technologies along with a comprehensive review of the applications of these technologies. Spectroscopy-based, computer vision, imagingbased, acoustic, ultrasound, and instrument-based sensing technologies are innovative non-destructive technologies that can be used as promising alternatives to the conventional method to effectively monitor the quality of pineapples. The challenges and future trends in the quality evaluation of pineapples using non-destructive technologies have been addressed.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1016/j.tifs.2023.02.005
Publisher: Elsevier
Keywords: Pineapple; Non-destructive; Quality evaluation; Computer vision; Spectroscopy
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 16 Aug 2024 07:50
Last Modified: 16 Aug 2024 07:50
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.tifs.2023.02.005
URI: http://psasir.upm.edu.my/id/eprint/109314
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