MATHEMATICAL DESIGN OF POLYCOMPONENT DRINKS WITH A BALANCED NUTRIENT COMPOSITION

Author:

Telezhenko LiubovORCID,Dzyuba NadyaORCID,Іеgorova AntoninaORCID,Balandina YevgeniiaORCID

Abstract

Based on the principles of food combinatorics using the methods of mathematical and computer simulation, formulations of polycomponent drinks based on dairy and vegetable raw materials were developed. The drinks were cow's milk, bananas, spinach and pumpkin were used as plant material and chia seeds were used as a source of unsaturated fatty acids. Using mathematical planning, the criterion equations for beverages characterizing the maximum content of basic nutrients have been formed. Computer simulation of beverage recipes was performed in Excel Solver in a Microsoft Excel spreadsheet, which formalized qualitative and quantitative indicators of balanced nutrients. In computer-aided design, optimization for each selected indicator was used by paired with the recommended nutrient content of FAO / WHO. Formulations of pumpkin, spinach and banana beverages were obtained in which the content of basic nutrients was 18,889 g, 17,664 g and 21,329 g per 100 g, respectively. Analysis of the chemical composition showed that the ratio of proteins: fats: carbohydrates is 1: 1.45: 3.03 for the drink "Pumpkin", 1: 1.34: 2.57 for the drink "Spinach" and 1: 1.5: 4 , 27 for the Banana drink. The ALST method determines the storage conditions of developed beverages, taking into account changes in sensory and microbiological parameters. Determination of optimal storage conditions by estimation of changes in organoleptic parameters makes it possible to state that the developed beverages will be competitive in the establishments of the restaurant industry of Ukraine. A study of changes in the microbiota of finished beverages within 4 hours at (4 ± 2) ° C in a closed glass container showed that, in the presence of conditionally pathogenic microorganisms, the beverages meet the current regulatory requirements. The integrated approach to the production of multicomponent beverages can be used by any market operator to produce not only beverages but also various food products.

Publisher

Odessa National Academy of Food Technologies

Reference25 articles.

1. 1. Telezhenko LM, Dzyuba NA, Kashkano MA Zdorove harchuvannya: praktichni rekomendaciyi: monografiya. Herson: Oldi-plyus; 2018.

2. 2. Moskalenko VF, Gruzyeva TS, Galiyenko LI. Osoblivosti harchuvannya naselennya Ukrayini ta yih vpliv na zdorov'ya. Naukovij visnik Nacionalnogo medichnogo universitetu im. O.O. Bogomolcya. 2009;3:64-73.

3. 3. Oficijnij sajt Derzhavnoy Sluzhbi statystyky Ukrayiny: Veb-sajt. [Internet]. Kyiv: Derzstat Ukrayiny; 1998-2020. [cited 2019 Lip 29]. Available from: http://www.ukrstat.gov.ua/

4. 4. Grigorenko OM. Evolyuciya teoriyi ta koncepciyi harchuvannya lyudini. Visnik Doneckogo nacionalnogo universitetu ekonomiki i torgivli im. M. Tugan-Baranovskogo. 2011;1(49):205-217.

5. 5. Smolyar VI. Formuvannya novoyi koncepciyi harchuvannya. Problemi harchuvannya. 2004;3:8-13.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. WILD FRUITS OF AZERBAIJAN AS RAW MATERIALS FOR BIOADDITIVES;Food Science and Technology;2023-07-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3