Effect of Steaming as Postprocessing Method on Rice Flour and Jaggery 3D Printed Construct

Author:

Thangalakshmi S.1ORCID,Arora Vinkel Kumar1ORCID,Kaur Barjinder Pal1ORCID,Singh Rakhi1ORCID,Malakar Santanu1ORCID,Rathi Shweta2,Tarafdar Ayon13ORCID

Affiliation:

1. Department of Food Engineering, National Institute of Food Technology Entrepreneurship & Management, Kundli, Sonipat 131 028, Haryana, India

2. Department of Food Science and Technology, National Institute of Food Technology Entrepreneurship & Management, Kundli, Sonipat 131 028, Haryana, India

3. Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243 122, Uttar Pradesh, India

Abstract

In this study, the 3D printing of a traditional South Indian snack, “sweet pidikollukattai” has been attempted. The mixing properties of the rice flour used and thermal characteristics of the paste (rice flour, jaggery, and water) have been reported. The traditional form of the product (control) was compared with the 3D printed product, which has been postprocessed by steaming at different time durations (S1-5, S2-10, S3-15 min). A comparative evaluation of the proximate analysis, colour, weight, dimensional measurement, texture profile analysis, and sensory characteristics was done for all samples. No significant difference was observed in colour, proximate composition, weight, and dimensional variation between the 3D printed samples and the control sample. Texture profile analysis revealed that the S2 score is comparable to the control sample. S2 also scored higher on the sensory scale compared to other samples. It was concluded that the 3D printed sample of the recipe, steamed for 10 min, has better acceptability compared to other samples.

Funder

National Institute of Food Technology Entrepreneurship and Management

Publisher

Hindawi Limited

Subject

Safety, Risk, Reliability and Quality,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