Predictive Modeling for Inactivation of Escherichia coli Biofilm with Combined Treatment of Thermosonication and Organic Acid on Polystyrene Surface
Year: 2024
Type: article
Abstract: The purpose of this study was to determine antibiofilm effect of combined sonication treatment with organic acid on polystyrene surface and to develop a predictive model for Escherichia coli biofilm inactivation. Polystyrene plates containing E. coli biofilm were exposed to sonication with different inactivation solutions (PBS, lactic acid and acetic acid) at different temperatures (20, 40 and 50oC) and times (2 and 5 minutes). The effects of temperature, time and inactivation solution on E. coli biofilm removal were found to be statistically significant (p<0.05). With the use of organic acids, increasing treatment time and temperature, viable cell counts and optical density of E. coli biofilms significantly decreased by 0.43-6.21 log CFU/mL and by 0.13-0.72 (OD600), respectively (p<0.05). The highest E. coli biofilm inactivation was achieved by the combination treatment of organic acid and thermosonication at 50oC for 5 minutes. A significantly positive correlation was found between test methods based on viable cell count and optical density measurement. According to multiple linear regression analysis, R2 values of prediction models for biofilm inactivation in terms of viable cell count and OD were 0.84 and 0.80, respectively. Predictive model developed by using viable cell count data were suggested for food industry and processors due to more accuracy.
Source: Foods
Authors: Emel Unal Turhan, Esabil Emrah Koca
Institution: Osmaniye Korkut Ata University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,296
Funder: Universidad Nacional de Colombia
OpenAlex ID: W4405291313
