Physical-chemical characteristics and modeling of the dehydration curve for Viola x wittrockiana mass loss

Author:

Fonseca Jessica Paula Aparecida CostaORCID,Leitão Angelita MachadoORCID,Liska Gilberto RodriguesORCID,Bastos Lucas SantosORCID

Abstract

The edible flowers have in their constitution proteins, lipids, starch, vitamins, important minerals for a healthy diet, as well as bioactive compounds recognized for their potential effects on human health. Due to the high perishability of the flowers, their marketing represents a challenge, and drying is a method that contributes to the preservation of the product. Given the above, the present study aims verify which is the curve that best adjusts to the mass loss during the dehydration process through the proposition of Boltzmann nonlinear regression model in face of classical dehydration curve models, as well measure in frozen flowers centesimal composition of Viola × wittrockiana flowers. The flowers were dehydrated at 30°C in an air circulation oven up to constant weight. The centesimal composition of the dehydrated Viola × wittrockiana is 84.69% humidity, 8.76% carbohydrates, 2.51% proteins, 2.41% crude fiber, 1.23% ash, 0.40% lipids and 48.68 Kcal. With respect to phenolic compounds, the frozen and dehydrated flowers showed 423 and 301 mg gallic acid equivalents per gram and, about antioxidant activity, showed 90.67 to 94.93% inhibition of the DPPH radical (2,2-Diphenyl-1-picrylhydrazyl) and 44.00 and 49.00 mg of Trolox.100 g-1. The Boltzmann model showed best fit the mass loss of Viola × wittrockiana and through this model the maximum mass loss occurs with 0.16 g, the maximum rate of mass loss of Viola × wittrockiana occurs in 46.7 min, whose mass loss is 0.66 g. The dehydration proved to be an efficient method to preserve the flowers because the bioactive compounds did not present significant losses after the application of this process.

Publisher

Universidade Estadual de Maringa

Subject

General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Mathematics,General Chemistry,General Computer Science

Reference1 articles.

1. .

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