Production of Sensorily Acceptable Pasta Filata Cheese with Partial Substitution of Sheep’s Milk Powder in Different Forms

Author:

Biegalski Jakub1ORCID,Cais-Sokolińska Dorota1ORCID

Affiliation:

1. Department of Dairy and Process Engineering, Faculty of Food Science and Nutrition, Poznań University of Life Sciences, ul. Wojska Polskiego 31/33, 60-624 Poznań, Poland

Abstract

The presented study analyzed the possibility of pasta filata cheese production using sheep’s milk powder in different forms and substitution amounts with fresh cow’s milk. For the production of the pasta filata cheeses that were analyzed in the research, sheep’s milk powder and reconstituted sheep’s milk were used for partial substitution with fresh cow’s milk in the amount of approx. 20, 30 and 40 percent (v/v). The obtained results showed that the more sheep’s milk in the form of powder in the mixture, the lower the cheese’s moisture content. The fat and protein content in the whey after the production of cheeses from mixtures was lower than after the production of cheeses from reconstituted sheep’s milk only. Cheeses produced entirely from reconstituted sheep’s milk displayed the highest fat loss. The greatest cheese yield was observed for cheeses from mixtures with sheep’s milk powder and entirely from reconstituted sheep’s milk. Pasta filata cheeses made from a mixture of cow’s milk and sheep’s milk powder that was not reconstituted were much less acceptable to consumers than reconstituted milk powder cheeses, especially those with 40% and 30% added powder. Sensory profile analysis showed that the addition of sheep’s milk to the mixture, regardless of the form, affected the appearance, consistency, and flavor of the produced pasta filata cheeses. Mixing cow’s milk with sheep’s milk powder created the possibility of modeling the final cheese quality and yield.

Funder

Ministry of Education and Science

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

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