首页|Reports Summarize Food Safety Study Results from Helix Biogen Institute (Advance ments in Predictive Microbiology: Integrating New Technologies for Efficient Foo d Safety Models)
Reports Summarize Food Safety Study Results from Helix Biogen Institute (Advance ments in Predictive Microbiology: Integrating New Technologies for Efficient Foo d Safety Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on food safety h ave been published. According to news reporting from Ogbomosho, Nigeria, by News Rx journalists, research stated, “Predictive microbiology is a rapidly evolving field that has gained significant interest over the years due to its diverse app lication in food safety. Predictive models are widely used in food microbiology to estimate the growth of microorganisms in food products.” The news editors obtained a quote from the research from Helix Biogen Institute: “These models represent the dynamic interactions between intrinsic and extrinsi c food factors as mathematical equations and then apply these data to predict sh elf life, spoilage, and microbial risk assessment. Due to their ability to predi ct the microbial risk, these tools are also integrated into hazard analysis crit ical control point (HACCP) protocols. However, like most new technologies, sever al limitations have been linked to their use. Predictive models have been found incapable of modeling the intricate microbial interactions in food colonized by different bacteria populations under dynamic environmental conditions. To addres s this issue, researchers are integrating several new technologies into predicti ve models to improve efficiency and accuracy. Increasingly, newer technologies s uch as whole genome sequencing (WGS), metagenomics, artificial intelligence, and machine learning are being rapidly adopted into newer-generation models.”
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