{"title":"加工后动力学计算的不确定性和可变性--果汁产品的营养质量损失","authors":"Maria C. Giannakourou, Petros S. Taoukis","doi":"10.1016/j.jfoodeng.2024.112403","DOIUrl":null,"url":null,"abstract":"<div><div>During juice processing and subsequent handling, vitamins are prone to degradation. Quantitative assessment of the effect of post-processing parameters on nutrient loss dependent shelf life can be implemented using either typical deterministic kinetic analysis or stochastic approaches, incorporating all identified sources of uncertainty. The presented case study is based on published data of post processing Vitamin C degradation in orange juice, processed via high pressure or thermal pasteurization. Monte Carlo simulations were implemented to account for different types of uncertainty, i.e. cold chain temperature variability, raw material biological variance and parameter uncertainty. Results showed that products, processed thermally or by high pressure, had a shelf life in the 51–70, <em>vs</em> 98–117 days range, respectively, considering all sources of uncertainty. In comparison to the respective single estimates of 60 and 110 days, based on fixed parameter values and constant temperature conditions, the distributions obtained depict more realistically the expected product quality variation.</div></div>","PeriodicalId":359,"journal":{"name":"Journal of Food Engineering","volume":"390 ","pages":"Article 112403"},"PeriodicalIF":5.3000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncertainty and variability in post-processing kinetic calculations- nutritional quality loss in fruit juice products\",\"authors\":\"Maria C. Giannakourou, Petros S. Taoukis\",\"doi\":\"10.1016/j.jfoodeng.2024.112403\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>During juice processing and subsequent handling, vitamins are prone to degradation. Quantitative assessment of the effect of post-processing parameters on nutrient loss dependent shelf life can be implemented using either typical deterministic kinetic analysis or stochastic approaches, incorporating all identified sources of uncertainty. The presented case study is based on published data of post processing Vitamin C degradation in orange juice, processed via high pressure or thermal pasteurization. Monte Carlo simulations were implemented to account for different types of uncertainty, i.e. cold chain temperature variability, raw material biological variance and parameter uncertainty. Results showed that products, processed thermally or by high pressure, had a shelf life in the 51–70, <em>vs</em> 98–117 days range, respectively, considering all sources of uncertainty. In comparison to the respective single estimates of 60 and 110 days, based on fixed parameter values and constant temperature conditions, the distributions obtained depict more realistically the expected product quality variation.</div></div>\",\"PeriodicalId\":359,\"journal\":{\"name\":\"Journal of Food Engineering\",\"volume\":\"390 \",\"pages\":\"Article 112403\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Food Engineering\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0260877424004692\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Engineering","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0260877424004692","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Uncertainty and variability in post-processing kinetic calculations- nutritional quality loss in fruit juice products
During juice processing and subsequent handling, vitamins are prone to degradation. Quantitative assessment of the effect of post-processing parameters on nutrient loss dependent shelf life can be implemented using either typical deterministic kinetic analysis or stochastic approaches, incorporating all identified sources of uncertainty. The presented case study is based on published data of post processing Vitamin C degradation in orange juice, processed via high pressure or thermal pasteurization. Monte Carlo simulations were implemented to account for different types of uncertainty, i.e. cold chain temperature variability, raw material biological variance and parameter uncertainty. Results showed that products, processed thermally or by high pressure, had a shelf life in the 51–70, vs 98–117 days range, respectively, considering all sources of uncertainty. In comparison to the respective single estimates of 60 and 110 days, based on fixed parameter values and constant temperature conditions, the distributions obtained depict more realistically the expected product quality variation.
期刊介绍:
The journal publishes original research and review papers on any subject at the interface between food and engineering, particularly those of relevance to industry, including:
Engineering properties of foods, food physics and physical chemistry; processing, measurement, control, packaging, storage and distribution; engineering aspects of the design and production of novel foods and of food service and catering; design and operation of food processes, plant and equipment; economics of food engineering, including the economics of alternative processes.
Accounts of food engineering achievements are of particular value.