Identification of the significant factors in food quality using global sensitivity analysis and the accept-and-reject algorithm. Part III: Application to the apple cold chain
作者： Steven Duret , Sunny George Gwanpua , Hong-Minh Hoang , Laurent Guillier , Denis Flick
DOI: 10.1016/J.JFOODENG.2014.09.039
关键词:
摘要: Abstract The aim of this manuscript is to apply the methodology proposed in an accompanying part I describing different sources variability apple cold chain allowing identification significant factors on evolution quality. uses a deterministic model predict quality (firmness, colour) and stochastic models account for product time–temperature history, biological properties initial Hereto, dedicated field test obtain realistic set data long term controlled atmosphere (CA) storage was conducted. under consideration study comprises following links: pre-cooling, CA storage, non-refrigerated transport wholesale. Then, simulation results, using kinetic firmness colour as influenced by profiles, method presented (global sensitivity analysis accept-and-reject algorithm) are analysed. Our research indicated that time temperature profile along most influencing factor final A refined algorithm revealed impact pre-cooling.
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