The Method of Studying Cosmetic Creams Based on the Principles of Systems Theory and Mathematical Modeling Techniques

IF 3.2 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Cosmetics Pub Date : 2023-08-23 DOI:10.3390/cosmetics10050118
A. Manea, D. Perju, A. Tamás
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Abstract

This paper reviews research on some cosmetic creams considered “distributed parameters systems” and on the experimental-computational mathematical models that have been determined for them. The determined models characterize the cosmetic creams in all stages of the manufacturing process, starting with the development of recipes, the description of raw materials, manufacturing technologies, and the determination of the physico-chemical and microbiological indicators that most strongly influence their quality. This approach suggests the possibility of performing optimization operations, specifically sensitivity analyses, which may lead to the identification of best quality indicators and to the amelioration of negative effects related to disturbance sizes (temperature, pressure, humidity etc.). Five emulsions with different compositions, prepared in vitro according to our own recipes, using raw materials and preparation methods approved for cosmetic products, were studied. Through specific physico-chemical and microbiological analyses, we obtained databases that were processed computationally. The resulting mathematical models, in the form of both graphs and equations, led to important conclusions regarding obtaining high quality in the studied creams and to the confirmation of the usefulness of applying the principles of Systems Theory to the study of cosmetic products.
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基于系统论原理和数学建模技术的化妆品面霜研究方法
本文综述了一些被认为是“分布参数系统”的化妆品霜的研究,以及为它们确定的实验计算数学模型。所确定的模型表征了化妆品霜在生产过程的所有阶段,从配方的开发、原材料的描述、生产技术以及对其质量影响最大的物理化学和微生物指标的确定开始。这种方法表明了进行优化操作的可能性,特别是灵敏度分析,这可能会确定最佳质量指标,并改善与干扰大小(温度、压力、湿度等)相关的负面影响。根据我们自己的配方在体外制备的五种不同成分的乳液,使用批准用于化妆品的原料和制备方法。通过具体的物理化学和微生物分析,我们获得了经过计算处理的数据库。由此产生的图形和方程形式的数学模型得出了关于在所研究的面霜中获得高质量的重要结论,并证实了将系统理论原理应用于化妆品研究的有用性。
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来源期刊
Cosmetics
Cosmetics Medicine-Surgery
CiteScore
5.20
自引率
12.10%
发文量
108
审稿时长
8 weeks
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