Organoleptic and Physicochemical Characteristics of Cake Based on Brown Rice Flour (Oryza sativa L.) Modified Warumbia Cultivar

Author:

Wahyuni Sri,Khaeruni Andi,Sumarni ,Sarinah ,Asnani ,Dahlan Andi,Fatahu

Abstract

Currently, the use of rice flour in making cakes is much needed by those who experience gluten allergy problems. The objective of this research was to evaluate the effect of using Warumbia cultivar brown rice flour modified using crude enzyme amylase from tempe mold and lactic acid bacteria on the organoleptic and physicochemical characteristics of cake. This research used a Completely Randomized Design (CRD). The data analysis used was the ANOVA test and further test (T test). The selected treatment for the organoleptic test was the modified brown rice flour treatment using BAL SBM.4A with a score of liking assessment of color, aroma, taste and texture respectively 3.78 (like), 4.25 (like), 4.08 (like) and 4.08 (like). The physical characteristics with the values of swelling power, porosity, kamba density and cake texture hardness are respectively: 105.67%, 0.21 cm, 0.39 g/mL and 0.85 (kg/cm2). The proximate values of the cake were water content (19.23%wb), ash (0.86%wb), fat 23.90 (%wb), protein 9.54 (%wb), and carbohydrate 46.47 (%wb). The research results show an increase in the physical, chemical and organoleptic characteristics of cakes derived from modified brown rice flour process.

Publisher

EDP Sciences

Reference22 articles.

1. Southeast Sulawesi Provincial Central Statistics Agency. Paddy and Rice Production by Regency/City in Southeast Sulawesi Province. (2020)

2. Savira A.P.I.S., Thesis. Department of Food Science and Technology. Faculty of Agriculture. Halu Oleo University. Kendari. (2019)

3. Majid U., Nurdin M., Ohorella I., National Seminar. Center for the Study and Development of Agricultural Technology. Maluku (2018)

4. Hiati , Thesis. Department of Food Science and Technology. Faculty of Agriculture. Halu Oleo University. Kendari (2021)

5. Saputri A.R., Thesis. Department of Food Science and Technology. Faculty of Agriculture. Halu Oleo University. Kendari (2020)

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