The optimisation of the colour analysis of microwave-dried tomatoes applying the Taguchi technique

Author:

Hussein Jelili1,Oke Moruf2,Adeyanju James2,Abiona Oluseye3

Affiliation:

1. Department of Food Science and Technology, Modibbo Adama University, Yola, Adamawa State, Nigeria

2. Department of Food Engineering, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria

3. Department of Chemical Sciences, Osun State University, Osogbo, Osun State, Nigeria

Abstract

Food processors and consumers frequently worry about the inconsistent colour of dried tomatoes. To minimize detrimental color changes, process parameters need to be optimized. Thus, digital imaging with the Photoshop software and optimization with the Taguchi technique were explored to determine the surface color of microwave-dried tomato slices. The tomato sample was pretreated with water blanching (WB), ascorbic acid (AA) and sodium metabisulphite (SB). In addition, the sample was cut into 4-mm, 6-mm and 8-mm thicknesses and dried at 90W, 180W and 360W microwave power levels following the Taguchi experimental design. Color characteristics (L*, a*, b*, change in color, browning index, hue, and chroma) of the dried tomato slices were determined. The L*, a*, and b* values of fresh tomatoes were 56.73, 44.51, and 38.38, respectively. The optimum processing conditions for the color characteristics varied significantly (p< 0.05). Pretreatment is the prime significant processing parameter controlling the L*, b*, ?E, BI, and hue values. At the same time, the slice thickness considerably influenced the a* value, the ratio of a*/b* and chroma values. The digital imaging color measurements of dried tomato slices provide a suitable method for non-destructive color analysis. The ability to upgrade and modify tomato processors so they can accommodate bulk color characteristics will be made possible by this knowledge.

Publisher

National Library of Serbia

Subject

Plant Science,Soil Science,Agronomy and Crop Science,Animal Science and Zoology

Reference40 articles.

1. Abano, E.E., Ma, H., & Qu, W. (2011). Influence of air temperature on the drying kinetics and quality of tomato slices. Journal of Food Process and Technology, 2 (123), 1-9. Adobe-Systems (2015). Adobe Photoshop 7.0. User Guide. Retrieved from San Jose CA.

2. Adu, B., Otten, L., Afenya, E., & Groenevelt, P. (1995). Thermodynamics of Microwave (Polarized) System. Journal of Microwave Power and Electromagnetic Energy, 30, 90-96.

3. Afshari-Jouybari, H., & Farahnaky, A. (2011). Evaluation of Photoshop Software Potential for Food Colorimetry. Journal of Food Engineering, 106 (2), 170-175.

4. Al-Sulaiman, M.A. (2011). Prediction of Quality Indices During Drying of Okra Pods in a Domestic Microwave Oven using Artificial Neural Network Model. African Journal of Agricultural Research, 6 (12), 2680-2691.

5. AOAC (2016). Official Method of Analysis of AOAC International (20th ed.): Association of Official Analytical Chemist.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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