首页> 外文期刊>Journal of food engineering >An original computer program (MalaxAction 1.0) to design and control olive paste malaxation under exposure to air
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An original computer program (MalaxAction 1.0) to design and control olive paste malaxation under exposure to air

机译:原始计算机程序(MalaxAction 1.0),用于设计和控制暴露于空气中的橄榄糊味不当

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摘要

An original computer program was set up to predict and control olive paste malaxation in the range of temperature between 22 and 37 degrees C under exposure to air. The program consisted of four sections to solve the our previous literature time-temperature kinetics. It was able to predict both the apparent oil extraction yield and the relative variation of 3,4 DHPEA-EDA and sum of verbascoside diastereoisomers contents in steady and unsteady-conditions; it was also able to determine optimal malaxation time temperature conditions to maximize the oil extraction yield and minimize the oxidative degradation of phenolic compounds. Simulation examples were carried out to test prediction potentiality, The malaxation treatments at low temperatures appeared preferable, since they seemed to be unaffected by time-temperature profiles under unsteady-state conditions. However, it seemed more difficult to identify optimal time-temperature conditions at a low temperature than at a high temperature in some operating states. (C) 2018 Elsevier Ltd. All rights reserved.
机译:设置了原始计算机程序来预测和控制暴露于空气中22至37摄氏度之间的温度范围内的橄榄糊错误。该程序包括四个部分,以解决我们先前文献中的时间-温度动力学问题。它能够预测稳态和非稳态条件下的表观采油量和3,4 DHPEA-EDA的相对变化以及马齿co苷非对映异构体含量的总和。它也能够确定最佳的混合时间温度条件,以最大程度地提高石油提取率并最大程度地减少酚类化合物的氧化降解。进行了模拟示例,以测试预测潜力。低温下的混合处理似乎是优选的,因为它们似乎不受不稳定状态下的时间-温度曲线的影响。但是,在某些工作状态下,确定最佳的时间温度条件似乎要比在高温下更难。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of food engineering》 |2018年第10期|57-62|共6页
  • 作者单位

    Univ Firenze, Food Sci & Technol & Microbiol Sect, Dept Agr Food & Forestry Syst Management GESAAF, Via Donizetti 6, I-50144 Florence, Italy;

    Univ Firenze, Food Sci & Technol & Microbiol Sect, Dept Agr Food & Forestry Syst Management GESAAF, Via Donizetti 6, I-50144 Florence, Italy;

    Univ Firenze, Food Sci & Technol & Microbiol Sect, Dept Agr Food & Forestry Syst Management GESAAF, Via Donizetti 6, I-50144 Florence, Italy;

    Univ Firenze, Agr Forest & Biosyst Engn Sect, Dept Agr Food & Forestry Syst Management GESAAF, Piazzale Cascine 15, I-50144 Florence, Italy;

    Univ Firenze, Agr Forest & Biosyst Engn Sect, Dept Agr Food & Forestry Syst Management GESAAF, Piazzale Cascine 15, I-50144 Florence, Italy;

    Univ Firenze, Food Sci & Technol & Microbiol Sect, Dept Agr Food & Forestry Syst Management GESAAF, Via Donizetti 6, I-50144 Florence, Italy;

    Univ Firenze, Agr Forest & Biosyst Engn Sect, Dept Agr Food & Forestry Syst Management GESAAF, Piazzale Cascine 15, I-50144 Florence, Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Extraction yield; Optimization; Phenolic compounds; Predictive modelling; Virgin olive oil;

    机译:提取得率;优化;酚类化合物;预测模型;初榨橄榄油;

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