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

Khin Sandar KyawSamuel Chetachukwu AdegokeClement Kehinde AjaniSupayang Piyawan VoravuthikunchaiHelen Onyeaka
Published in: Critical reviews in food science and nutrition (2022)
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.
Keyphrases
  • artificial intelligence
  • human health
  • machine learning
  • deep learning
  • randomized controlled trial
  • risk assessment
  • endothelial cells
  • systematic review
  • drinking water
  • high throughput