Development of biopolymer based colorimetric indicator for monitoring of meat and fish freshness

Author:

Sailaukhanuly Y.1ORCID,Rakhmet S.2ORCID,Azat S.3ORCID,Yeszhan Y.3ORCID,Toshtay K.4ORCID,Busquets R.5

Affiliation:

1. Satbayev University; Central Asian Institute for Ecological Research; Shoqan Walikhanov Private School

2. Shoqan Walikhanov Private School

3. Satbayev University

4. al-Farabi Kazakh National University

5. Kingston University London, School of Life Sciences, Pharmacy and Chemistry

Abstract

The need to extend food products' shelf lives is growing as a result of efforts to cut expenses and minimize food waste. The food industry is interested in solutions that would make it easy to keep food fresh and safe for as long as the product is on sale. The purpose of the study is to develop a biopolymer-based colorimetric indicator for monitoring of meat and fish freshness. The significance of the research is to provide food safety via control of the freshness using green and cheap methods. The objects of the study are natural and artificial indicators. The paper presents natural indicators such as curcumin, pomegranate, beetroots, and carrot juice which were incorporated into the compositions of food freshness indicators. The obtained indicators were compared with an artificial indicator, bromothymol blue, and phenol red, concerning their volatile amine monitoring. Additionally, a model of volatile amine release based on the different ammonia solutions was applied in the research. The response of freshness indicators was estimated by the observation of color changes. Compared to the artificial indicators, the curcumin and pomegranate juices gave a similar response. Beetroot and carrot juices did not provide a desirable color change. Further research was made on the development of biopolymer containing freshness indicators based on bromothymol blue and phenol red. The indicators were evaluated for their response to the spoilage of fish and meat samples in the test tubes and in food packaging. Thus, two artificial indicators could be incorporated into effective food freshness indicators for smart packaging.

Publisher

Almaty Technological University JSC

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