Data are provided in the Excel file "qac_eoc_tck_data.xlsx" and in the Matlab file "get_data.m" (with only relevant data for model calibration). Model parameter estimations and simulations are run by calling "main.m" in Matlab. Results can be also seen without running the code in results.fig/mat/xlsx, This repository provides data (📈) and mathematical models (🖳) to study the Synergistic Bactericidal Effects between Quaternary Ammonium Compounds and Essential Oil Constituents, This research was funded by Xunta de Galicia under grants IN606A-2020/028 and IN607B 2023/24; by MCIN/AEI/10.13039/501100011033 and "ERDF A way of making Europe" under grant PID2022-136817OB-I00; and by national funds by FCT – Foundation for Science and Technology under research grants EXPL/MED-QUI/1156/2021, LA/P/0045/2020 (ALiCE), UIDB/00511/2020, UIDP/00511/2020 (LEPABE), Peer reviewed

The scripts are developed in the MATLAB environment and utilize the AMIGO2 toolbox for optimization and optimal experimental design. AMIGO2 can be downloaded from https://sites.google.com/site/amigo2toolbox and should be placed alongside the repository files., This repository provides data (📈) and code (🖳) associated with the study:
Moreno-Razo, Ari S., et al. "Virtual Representation of Fresh Produce Washing in 4.0 Industry: Modelling and Calibration through Optimal Experimental Design" Innovative Food Science & Emerging Technologies (2025): 104307. https://doi.org/10.1016/j.ifset.2025.104307, This work was funded by EFSA, Contract number OC/EFSA/BIOCONTAM/2021/02 on “Microbiological hazards associated with the use of water in the post-harvest handling and processing operations of fresh and frozen fruits, vegetables and herbs (ffFVHs)” and the opinions expressed are those of the contractors only and do not represent the contracting authority’s (EFSA’s) official position.
We thank the grants PID2022-136817OB-I00 funded by MCIN/AEI/10.13039/501100011033/FEDER and the grant IN607B 2023/04 by Xunta de Galicia, Peer reviewed