Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Recolector de Cienci...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
versions View all 1 versions
addClaim

Optimization of chlorine-based disinfectant additions in food washing through a flume tank

Authors: Moreno-Razo, Ari S.; Vilas Fernández, Carlos; Allende, Ana; Gil, Maria Isabel; García, Miriam R.;

Optimization of chlorine-based disinfectant additions in food washing through a flume tank

Abstract

[Aim] The industrial washing process of harvested products, like fruits and vegetables, is often performed through a flume washing tank. In this kind of operation, a certain level of disinfectant concentration is required to guarantee bacterial inactivation under security thresholds in wash water, which implies avoiding cross contamination and ensures food quality. Additionally, high levels of organic matter and chlorine-based disinfectant in wash water produces hazardous byproducts. In this study, we seek to establish an optimal setup for the washing process, ensuring the attainment of a bacterial threshold level while avoiding the formation of byproducts. [Method] A convection-diffusion-reaction model has been used to simulate the disinfection process in a washing tank, describing the evolution of species present in the washing water in the system. The species considered were a chlorine-based disinfectant, organic matter identified by chemical oxygen demand, and bacterial concentration, taking E. coli O157:H7 as a case study. We propose a reduction of the system to a one spatial dimension problem, to facilitate and allow optimization other way not possible. The objective of the optimisation problem is to minimise the disinfectant added through the injection ports while guarantee certain maximum bacteria concentration and the model dynamics. [Results] Optimal disinfectant profiles were achieved, meeting the requirements set by the optimization problem, were the constraints of the optimization problem as well as the cost function definition have their foundations by findings from prior studies. It was determined that with constant incoming concentrations of organic matter and bacteria into the tank, the injection port that is closest to the entrance, must have the higher concentration of disinfectant added. Additionally, subsequent additions will assist in adjusting bacterial levels to gradually reach the safety threshold. [Conclusion] A methodology has been developed to optimize the disinfectant dosages of the washing process for fruits and vegetables in industrial tanks. The quantity of disinfectant added at each injection port has been optimised to ensure food safety and minimize the maximum concentration of free chlorine in the system, therefore reducing the formation of hazardous byproducts

38th EFFoST International Conference 2024. Future Food Systems: Innovation through Progress at Scientific Interfaces, 12-14 November 2024. Bruges, Belgium

Peer reviewed

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!