predictive microbiology

Modeling of mold inactivation via cold atmospheric plasma (CAP)

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This study presents a mathematical formula that predicts how quickly cold atmospheric plasma can kill mold on surfaces. Researchers tested the model using a common mold species and found that when plasma energy matched the mold’s natural growth rate, the mold died completely. The advantage of this approach is that scientists can now predict mold elimination in minutes using calculations instead of waiting weeks for laboratory experiments.

The Use of Predictive Microbiology for the Prediction of the Shelf Life of Food Products

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Food companies need to know how long products stay fresh and safe to eat. This review explains different scientific methods for predicting when food will spoil based on microbial growth. It compares traditional mathematical models with newer computer-based machine learning approaches, showing that newer methods can be more accurate and efficient for determining how long foods can be stored safely.

Modeling of mold inactivation via cold atmospheric plasma (CAP)

mycolabadmin

This research develops a mathematical model to predict how cold atmospheric plasma kills mold colonies on surfaces. Using experiments with Aspergillus brasiliensis, scientists found that when plasma treatment strength matches the mold’s natural growth rate, the mold stops growing and eventually dies. The model can provide predictions in minutes that would normally take weeks of laboratory testing, making it useful for food industry and building material applications.

Research Topic: predictive microbiology

Modeling of mold inactivation via cold atmospheric plasma (CAP)

The Use of Predictive Microbiology for the Prediction of the Shelf Life of Food Products

Modeling of mold inactivation via cold atmospheric plasma (CAP)