PRE-TREATMENT OF VEGETABLES AND FORMULA DEVELOPMENT OF CALCIUM-FORTIFIED VEGETABLE CRISPY WAFFLES WITH RICEBERRY USING A MIXTURE DESIGN

Author:

Pichaiyongvongdee SuwannaORCID,Rattanapun Boonyakrit,Youdee Piyawon,Rasamipaiboon Nujira,Nubwande Tanikan

Abstract

Crispy waffles are popular snacks typically containing wheat flour, sugar, and oil. Excessive consumption may be unhealthy. This study aimed to produce healthier crispy waffles using vegetables, specifically Chinese kale (CK), False Pak Choi (FPC), and Thai basil (TB), as sources of calcium. These vegetables underwent three pre-treatments: blanching, steaming, and stir-frying. The study then focused on the formulation of calcium-fortified crispy vegetable waffles with riceberry (CVWR) using a mixture design experiment. Calcium content in TB, FPC, and CK was found to be 313.96, 309.88, and 246.15 mg/100g, respectively. Pre-treatment results revealed that steaming resulted in the least reduction of calcium content, while stir-frying caused the least reduction of total chlorophyll and total polyphenol contents. The proportions of the crispy waffles components were 0-30%CK, 0-30% FPC, 0-30%TB, and 70% riceberry. The physical quality of CVWR, considering crispness and calcium content, was determined using a linear regression equation. The analysis showed that CVWR with TB as the primary component had the highest calcium content and crispness, followed by FPC and CK, respectively. In terms of sensory characteristics, FPC had the highest fracture coefficient, followed by TB and CK, respectively. The optimal formulation, determined by overlapping diagrams, consisted of 14.88% FPC, 13.11% TB, 2.01% CK, and 70% riceberry. The resulting CVWR contained 286.19 mg/100g calcium and was a source of total dietary fiber and anthocyanin. Consequently, CVWR offers a healthier, high-nutritional-value snack option suitable for health-conscious consumers.

Publisher

Slovak University of Agriculture in Nitra

Subject

Molecular Biology,Microbiology,Food Science,Biotechnology

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