DNA-based surrogates for the validation of microbial inactivation using cold atmospheric pressure plasma and plasma-activated water processing

Cold atmospheric pressure plasma (CAPP) and plasma-activated water (PAW) are emerging nonthermal technologies. Due to the complexity of plasma-generated species as a function generation conditions, there is need develop process validation. This study aims evaluate interactions with DNA-based surrogates using infrared spectroscopy gradient boosting decision tree, machine learning algorithm, for data analysis validate decontamination effectiveness CAPP PAW. Chitosan-DNA films were developed treated or Changes in spectral properties DNA characterized Fourier-transform (FTIR) correlated dosage levels PAW efficacy. Using LightGBM both inactivation efficacy against bacteria biofilms predicted high accuracy (>89%) based on features DNA. In summary, this illustrates novel approach validating processing.