Preliminary Investigation on the Processability of Low-Fat Herbal Cheese Manufactured with the Addition of Moringa, Bidara, and Bay Leaves Extracts

Author:

Setyawardani T,Sumarmono J,Dwiyanti H

Abstract

Abstract This study was conducted to investigate the processability of herbal cheese made from low-fat milk with herbs extract: moringa, bay, and bidara leaves, and their combination. Herbal cheeses were manufactured from commercial low-fat milk with a fat content of approximately 1%, and the percentage of herbs added was 20%. Nine treatments applied in this research were (P1) Full fat milk without herbs as control; (P2) Low-fat milk without herbs; (P3) low-fat milk + 20 % bidara leaves extract; (P4) low-fat milk + 20 % bay leaves extract; (P5) low-fat milk + 20% moringa leaves extract; (P6) low-fat milk + mixes of bidara leaves and bay leaves extracts (10:10%); (P7) low-fat milk + mixes of bidara leaves and moringa leaves extracts (10:10%); (P8) low-fat milk + mixes of bay leaves and moringa leaves extracts (10:10%); and (P9) low-fat milk + mixes of bay; moringa and bidara leaves extracts (6.67:6.67:6.67%). A completely randomized design was used with three replicates. Variables measured were instrumental total solids, acidity, and color of the cheese. A colorimeter estimated cheese color as L* (brightness), a* (green to red), and b* (blue to yellow). Results showed that, total solids, L*, and b* values were significantly different; however pH and a* values were similar. The low-fat cheese pH ranged from 6.12-6.63 and the total solid ranged from 36.82 to 55.26 %. Herbal cheese showed L* value 74.21-90.86; b* value 14.47-22.98. The pH and a* value of all low-fat cheeses were not significantly different to control. From this preliminary experiment, it can be concluded that the processability of low-fat cheeses with the addition of 20% moringa leaves extract produces the highest yellowness. In contrast, full cream milk produces fresh cheeses with highest total solid and brightness.

Publisher

IOP Publishing

Subject

General Engineering

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

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