Determination of different spice powder levels for soft cheese based on milk

Author:

Arkan N D,Setyawardani T,Sumarmono J,Naufalin R,Santosa S S,Rahardjo A H D

Abstract

Abstract This study aims to evaluate and determine the most optimal level of addition spice powder to soft cheese based on milk. The spice powders used are cinnamon (Cinnamomum burmannii), lemongrass (Cymbopogon citratus), and turmeric (Curcuma longa L.) with the following treatment; T0: soft cheese without added spices powder; T1: soft cheese + 1% cinnamon powder; T2: soft cheese + 2% cinnamon powder; T3: soft cheese + 3% cinnamon powder; T4: soft cheese + 1% lemongrass powder; T5: soft cheese + 2% lemongrass powder; T6: soft cheese + 3% lemongrass powder; T7: soft cheese + 1% turmeric powder; T8: soft cheese + 2% turmeric powder; T9: soft cheese + 3% turmeric powder. The study design used a completely randomized design with three replications. Variables measured including pH, color (L*, a*, b*), total solids, and antioxidant activities using/via DPPH scavenging activity (2,2-diphenyl-picrylhydrazyl). The soft cheese pH ranged from 5.60–6.26, with T0 was the lowest and T3 had the highest value. Total solids ranged from 38.87–66.77%, with T1 was the lowest and T3 had the highest value. Antioxidant activities ranged from 37.96–72.43%, with T0 was the lowest and T9 had the highest value. Soft cheese showed L* value 66.58–80.31, with T9 was the lowest and T0 had the highest value; a* value 3.47–12.44, with T6 was the lowest and T9 had the highest value; b* value 12.35–25.95, with T0 was the lowest and T9 had the highest value. Results were analyzed using analysis of variance and Duncan’s Multiple Range Test. Based on the results, it can be concluded that the level addition of 3% spice powder was the most optimal level for soft cheese, with the highest pH, total solids, antioxidant activity, redness, and yellowness.

Publisher

IOP Publishing

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