Mathematical and Analytical Evaluation of Paste Products Quality

Victor Guts, O. Koval, S. Bondar
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Abstract

Topicality. In modern conditions, the society feels a growing demand in products made from natural ingredients of high nutritional value. Such products include meat pastes, the quality of which depends on their recipe, technological processes, equipment, and modes of its operation. With the implementation of innovative technological regimes and new equipment, there is a necessity to determine and prognosticate the quality of food products at all stages of their production and sale. According to the mentioned above, as well as economic feasibility of using automated systems for technological processes management, there is a need to elaborate a new mathematical and analytical approach to assessing and prognosticating changes in the quality of meat paste with various additives. Aim and research methods. The aim of this research is to elaborate a method for modeling the material system state, based on differential equations of kinetics of biochemical processes, assessment, and prognostication of food quality. Research methods. The method of mathematical and analytical evaluation of the paste products quality is grounded on modified mathematical models, differential equations, visualisation of research results in the form of 3D graphs, obtained by using symbolic computer mathematics. The quality of new meat paste products is compared with the quality of the paste, which is assumed to be relatively optimal according to the main organoleptic parameters of sensory quality assessment and control sample. The control sample of the paste is cooked according to the classical technology, and the recipe (GSTU 4424:2005). The prototype samples are cooked according to the innovative technology, which involves adding mechanically deboned poultry meat to the main raw material. Results. New results of analytical and experimental studies of the quality of meat paste products, cooked according to the classic recipe with the use of mechanically deboned poultry meat, are offered. The method for determining the coefficients, included in the mathematical model for assessing the meat paste products quality, their analytical relation with the optimization parameter, is elaborated. The expediency of using modern methods of symbolic computer mathematics for solving and analysing differential equations, presenting results in 3D graphs, is proved. The conducted research makes it possible to prognosticate the quality of food products, to control possible changes in their recipe while using various additives, to carry out elaborating new paste products. Conclusions and discussion. Based on the results of theoretical and experimental studies, a new mathematical model for estimating the quality of meat paste products in the form of the first-order differential equation, is offered. Its analogue is the equations, recommended for modeling the processes of biochemical kinetics. It is proved that the computer programme of mathematical and analytical research and prognostication the foodstuff quality (Goots et al., 2018) is universal. The offered mathematical model makes it possible to envision the quality of meat paste products, based on organoleptic evaluation. With its help, it becomes possible to determine the vector of possible changes in product quality and its optimisation, while elaborating the 3D graph. Mathematical and analytical assessment of the new paste products quality highlights that the partial replacement of the main meat raw by mechanically deboned poultry meat, and in pastes, made according to classical technology and the GSTU recipe (4424:2005), does not really reduce the parameters of organoleptic evaluation. In some cases, they are even higher than in the control paste samples, and very close to optimal ones. This new mathematical and analytical approach to assessing the paste products quality is promising in new culinary products elaboration in the restaurant business.
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膏体产品质量的数学与分析评价
主题性。在现代条件下,社会对由高营养价值的天然成分制成的产品的需求越来越大。这类产品包括肉酱,其质量取决于其配方、工艺流程、设备和操作模式。随着创新技术制度和新设备的实施,有必要确定和预测食品生产和销售各个阶段的质量。根据上述内容,以及使用自动化系统进行工艺过程管理的经济可行性,需要制定一种新的数学和分析方法来评估和预测含有各种添加剂的肉酱质量的变化。目的和研究方法。本研究的目的是阐述一种基于生物化学过程动力学微分方程、食品质量评估和预测的材料系统状态建模方法。研究方法。糊状产品质量的数学和分析评估方法基于修改的数学模型、微分方程、通过使用符号计算机数学获得的三维图形形式的研究结果可视化。将新肉酱产品的质量与肉酱质量进行比较,根据感官质量评估和对照样品的主要感官参数,肉酱质量被认为是相对最佳的。根据经典技术和配方(GSTU 4424:2005)烹饪糊状物的对照样品。原型样品是根据创新技术烹饪的,该技术包括在主要原料中添加机械脱胶的禽肉。后果提供了对肉酱产品质量的分析和实验研究的新结果,这些肉酱产品是根据经典配方使用机械脱胶的禽肉烹制的。阐述了肉酱产品质量评价数学模型中系数的确定方法及其与优化参数的分析关系。证明了用现代符号计算机数学方法求解和分析微分方程,并用三维图形表示结果的方便性。所进行的研究可以预测食品的质量,在使用各种添加剂时控制其配方的可能变化,并开发新的糊状产品。结论和讨论。根据理论和实验研究的结果,提出了一种新的一阶微分方程形式的肉酱产品质量评价数学模型。它的类似物是方程式,推荐用于生物化学动力学过程的建模。事实证明,数学和分析研究以及食品质量预测的计算机程序(Goots et al.,2018)是通用的。所提供的数学模型使人们能够根据感官评估来预测肉酱产品的质量。在它的帮助下,可以确定产品质量可能变化的矢量及其优化,同时绘制3D图形。对新糊状产品质量的数学和分析评估强调,用机械脱胶的禽肉部分替代主要生肉,以及根据经典技术和GSTU配方(4424:2005)制成的糊状物,并没有真正降低感官评估的参数。在某些情况下,它们甚至高于对照糊状物样品,并且非常接近最佳值。这种评估糊状产品质量的新数学和分析方法在餐饮业的新烹饪产品开发中很有前景。
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