Monte Carlo simulation and sensitivity analysis of the Michaeeurolis-Menten kinetic equation for the CO2 inhibition response to O-2 consumption during storage of fresh produce

Statistical and sensitivity analyses were carried out on the use of the Michaeeurolis-Menten kinetic model to estimate respiration rates of fresh produce during modified atmosphere packaging (MAP). Monte Carlo simulation, which is used to explain the effects of risk and uncertainty in predictive and forecasting models, showed that the carbon dioxide concentration term was the most sensitive in the experimental cases tested. This term was modified by adding an exponential term and reintroduced back into the Michaeeurolis-Menten model, improving its stability and predictive accuracy. The analysis, was based on the respiration rates of fresh-cut 'Romaine' lettuce (Lactuca sativa var. longifolia) treated with two disinfection methods, a chlorine solution (sodium hypochlorite, 100 ppm) and an organic acids solution (ascorbic and citric acid, 1% w/v each) and stored at 4.18 & DEG;C for 7 d. Respiration rates were significantly influenced by disinfection methods, storage time and their interaction in both cases.& COPY; 2023 IAgrE. Published by Elsevier Ltd. All rights reserved.

Automated summary

Statistical and sensitivity analyses were conducted on the use of the Michaeeurolis-Menten kinetic model to estimate respiration rates of fresh produce during modified atmosphere packaging (MAP). Monte Carlo simulation showed that the carbon dioxide concentration term was the most sensitive. By modifying this term and reintroducing it into the Michaeeurolis-Menten model, its stability and predictive accuracy were improved. The analysis was based on the respiration rates of fresh-cut 'Romaine' lettuce treated with two disinfection methods and stored at a specific temperature for 7 days.