Toward in-process technology-aided automation for enhanced microbial food safety and quality assurance in milk and beverages processing

Khin Sandar Kyaw, Samuel Chetachukwu Adegoke, Clement Kehinde Ajani, Ozioma Forstinus Nwabor*, Helen Onyeaka

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

5 Citations (Scopus)

Abstract

Ensuring the safety of food products is critical to food production and processing. In food processing and production, several standard guidelines are implemented to achieve acceptable food quality and safety. This notwithstanding, due to human limitations, processed foods are often contaminated either with microorganisms, microbial byproducts, or chemical agents, resulting in the compromise of product quality with far-reaching consequences including foodborne diseases, food intoxication, and food recall. Transitioning from manual food processing to automation-aided food processing (smart food processing) which is guided by artificial intelligence will guarantee the safety and quality of food. However, this will require huge investments in terms of resources, technologies, and expertise. This study reviews the potential of artificial intelligence in food processing. In addition, it presents the technologies and methods with potential applications in implementing automated technology-aided processing. A conceptual design for an automated food processing line comprised of various operational layers and processes targeted at enhancing the microbial safety and quality assurance of liquid foods such as milk and beverages is elaborated.

Original languageEnglish
JournalCritical Reviews in Food Science and Nutrition
Early online date6 Sept 2022
DOIs
Publication statusE-pub ahead of print - 6 Sept 2022

Bibliographical note

Publisher Copyright:
© 2022 Taylor & Francis Group, LLC.

Keywords

  • automated food processing
  • Food safety
  • green non-thermal technologies
  • intelligence-based food processing
  • quality assurance
  • sensor-technologies
  • smart factory

ASJC Scopus subject areas

  • Food Science
  • Industrial and Manufacturing Engineering

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