Approaches to Developing New Complex Meat Products with Preset Qualitiy

Q3 Economics, Econometrics and Finance
A. Miroshnik, I. Gorlov, M. Slozhenkina
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引用次数: 0

Abstract

A profitable meat-processing business relies on the rational use of its resources, which, in its turn, depends on the constant improvement of product formulations and development of new ones. These operations involve advanced analytical methods and complex approaches. The article introduces a review of modern technical solutions, methods, and approaches to modeling new complex meat products with preset quality indicators. The review (1990–2022) involved research articles published in high-rated peer-reviewed research journals, educational literature, digital theses published by Russian Dissertation Councils, and patents registered by the Institute of Industrial Property. The synchronic and diachronic analysis of basic principles of food product design and parametric modeling revealed no universal methodology for meat products development, both in terms of goals and applicability to different meat products types. Forecasting of finished meat products quality indicators requires relevant and accurate information, which is highly variable and fast-changing. Unfortunately, advanced information technologies are slow to adapt to the urgent tasks of the food industry. As a result, the current methods for developing new complex meat product formulations are useless when meat producers have no access to relevant and self-updating databases on raw m aterials properties.
开发具有预设质量的新型复杂肉类产品的方法
盈利的肉类加工企业有赖于合理利用资源,而合理利用资源又有赖于不断改进产品配方和开发新产品。这些操作涉及先进的分析方法和复杂的方法。文章对现代技术解决方案、方法和途径进行了回顾,以建立具有预设质量指标的新型复杂肉类产品模型。 综述(1990-2022 年)涉及在高水平同行评审研究期刊上发表的研究文章、教育文献、俄罗斯学位论文委员会发表的数字论文以及工业产权局注册的专利。 通过对食品产品设计和参数建模的基本原则进行同步和非同步分析,发现肉类产品开发在目标和对不同类型肉类产品的适用性方面都没有通用的方法。肉类成品质量指标的预测需要相关的准确信息,而这些信息变化多端、瞬息万变。遗憾的是,先进的信息技术迟迟不能适应食品工业的紧迫任务。 因此,当肉类生产商无法获得相关的、可自我更新的原料特性数据库时,目前开发新的复杂肉类产品配方的方法就毫无用处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Food Processing: Techniques and Technology
Food Processing: Techniques and Technology Engineering-Industrial and Manufacturing Engineering
CiteScore
1.40
自引率
0.00%
发文量
82
审稿时长
12 weeks
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