Effects of Process Parameters on Rheological Properties of Pepper and Tomatoes Purees

Author:

Fadeyibi Adeshina1,Ayinla Zainab Ololamide1,Ajiboye Rasaq A.1

Affiliation:

1. Kwara State University

Abstract

Abstract This study investigated the effects of temperature, time, and moisture content on the rheological properties (apparent viscosity, flow behavior index, and consistency coefficient) of stored purees of pepper and tomato. The purees were prepared using the hot-break method to have moisture contents of 85%, 90%, and 95% (w/v) respectively. The rheological properties were determined at an interval of 2 days for 6 days of storage durations and at 5°C, 10°C, and 15°C temperatures. Results showed that the values of the apparent viscosity, consistency coefficient, and flow behavior index of tomato puree were in the range of 2519.9-4324.6 mPa S, 258.0-550.6 mPa Sn, and 1.80 − 0.48 respectively. Also, the values obtained from the pepper puree range as 2105.6–4562.0 mPa S, 268.4-580.4 mPa Sn, and 0.22–0.48 respectively. The values of the apparent viscosity, flow behavior index, and consistency coefficient of the purees vary significantly (p ≤ 0.05) with temperature and storage time. However, the moisture content has no significant (p < 0.05) effects on the rheological properties of the purees. In addition, the flow behavior and consistency coefficient of the purees were observed to vary relatively with the apparent viscosity. The purees exhibited pseudoplastic behavior as the flow behavior indices of both purees were between 0 and 1. The optimum conditions for the processing and storage of the purees were in the range 13.21–14.42°C, for 2 days, 92.22–94.23% (w/v) moisture content for pepper, and 8.42–11.77°C for 2–6 days, 85% (w/v) moisture for tomato.

Publisher

Research Square Platform LLC

Reference20 articles.

1. Al-kafrawy, A. A., Heikal, Y. A. E., Ashoush, I. S., & Mahdy, M. (2023). Concentrated Tomato Paste. 66(4), 245–252. https://doi.org/10.21608/EJCHEM.2022.144780.6339

2. Alajrami, M. A., & Abu-naser, S. S. (2019). Type of Tomato Classification Using Deep Learning. 3(12), 21–25.

3. Ali, Y., Ali, A., Sina, I., Khandker, S. S., Neesa, L., Tanvir, E. M., Kabir, A., Khalil, I., & Gan, S. H. (2021). Nutritional Composition and Bioactive Compounds in Tomatoes and Their Impact on Human Health and Disease: A Review.

4. Andriani, C. (2020). Predicting Processing and Filling Equipment with Complex Food Rheology.

5. Fruit and vegetable consumption and health outcomes: an umbrella review of observational studies;Angelino D;International Journal of Food Sciences and Nutrition,2019

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