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Smart fermentation technologies: microbial process control in traditional fermented foods


Citation

Yee, Chong Shin and Zahia-Azizan, Nur Asyiqin and Abd Rahim, Muhamad Hafiz and Mohd Zaini, Nurul Aqilah and Raja-Razali, Raja Balqis and Ushidee-Radzi, Muhammad Ameer and Ilham, Zul and Wan-Mohtar, Wan Abd Al Qadr Imad (2025) Smart fermentation technologies: microbial process control in traditional fermented foods. Fermentation, 11 (6). art. no. 323. pp. 1-38. ISSN 2311-5637

Abstract

Traditional fermented foods are appreciated worldwide for their cultural significance and health-promoting properties. However, traditional fermentation production suffers from many obstacles such as microbial variability, varying quality, and lack of scalability. The implementation of smart fermentation technologies, including biosensors, the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), hold the key to the optimization of microbial process control, enhance product consistency, and improve production efficiency. This review summarizes modern developments in real-time microbial monitoring, IoT, AI, and ML tailored to traditional fermented foods. Despite significant technical advancements, challenges related to high costs, the absence of standardized frameworks, and access restrictions for small producers remain substantial limitations. This review proposed a future direction prioritizing modular, scalable solutions, open-source innovation, and environmental sustainability. In alignment with Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure), smart fermentation technologies advance sustainable industry through innovation and serve as a critical bridge between traditional craftsmanship and Industry 4.0, fostering inclusive development while preserving microbial biodiversity and cultural heritage.


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Additional Metadata

Item Type: Article
Subject: Food Science
Subject: Biochemistry, Genetics and Molecular Biology (miscellaneous)
Divisions: Faculty of Food Science and Technology
DOI Number: https://doi.org/10.3390/fermentation11060323
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
Keywords: Artificial intelligence in fermentation; Biosensors; Digital fermentation; Fermentation automation; Internet of things; Machine learning; Real-time microbial monitoring; Smart fermentation technologies
Sustainable Development Goals (SDGs): SDG 9: Industry, Innovation and Infrastructure, SDG 12: Responsible Consumption and Production, SDG 2: Zero Hunger
Depositing User: Ms. Siti Radziah Mohamed@mahmod
Date Deposited: 21 Apr 2026 08:27
Last Modified: 21 Apr 2026 08:27
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/fermentation11060323
URI: http://psasir.upm.edu.my/id/eprint/123622
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