Newswise – Cronobacter sakazakii, a pathogen in powdered infant formula, poses a significant risk to newborns and leads to outbreaks in neonatal intensive care units with high mortality rates. This gram-negative bacterium is resistant to desiccation and can survive in dry environments such as powdered infant formula. Despite their widespread use, current detection methods are slow and require skilled personnel and expensive equipment, highlighting the need for a more efficient and cost-effective solution.

In a new one study (https://doi.org/10.1093/fqsafe/fyae005) published in the magazine Food quality and safety On January 22, 2024, researchers at the University of Birmingham will unveil a novel bioinformatics-based identification detection kit Cronobacter sakazakii in powdered infant formula. This breakthrough provides a more effective approach to detecting this harmful pathogen, which is often associated with serious illness in infants.

In this cutting-edge study, researchers harnessed the power of bioinformatics to develop a detection kit specifically designed for identification Cronobacter sakazakii in powdered infant formula. This pathogen, known for its serious health risks to infants, has been difficult to detect using traditional methods. The research team began a careful process, selecting genes associated with the bacterium’s virulence. They then analyzed these genes for antigenicity and epitope properties using sophisticated immunoinformatics techniques, leading to the development of a multi-epitope detection kit. This bioinformatics approach enabled the precise identification of pathogen-specific markers, making the detection kit not only innovative but also highly efficient and potentially transformative in the field of food safety.

Lead researchers Elijah K. Oladipo and Helen Onyeaka emphasize, “This study represents a major advance in infant food safety and could potentially revolutionize the way we detect and respond to foodborne pathogens.” Cronobacter sakazakii.”

This detection kit promises quick and precise identification of Cronobacter sakazakii, critical to preventing outbreaks and ensuring the safety of infant formula. Its application could significantly reduce the time and resources spent on pathogen detection in food safety laboratories. The research highlights the importance of integrating computational methods in the fight against foodborne illnesses and offers a faster and more accurate way to protect infant health.

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References

DOI

10.1093/fqsafe/fyae005

Original source URL

https://doi.org/10.1093/fqsafe/fyae005

Around Food quality and safety

Food quality and safety is an open-access, international, peer-reviewed journal that provides a platform to highlight new and innovative science and technology in the agricultural and food sectors and publishes current research in the areas of food quality, food safety, food nutrition and human health. It is covered by SCI-E and the Impact Factor (IF) for 2022 is 5.6, 5-year IF = 6.2

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