Comparison of Microbiological and Sensory Qualities of ‘fufu’ Processed from Grinding Machines and the Traditional Method at Ayigya in the Kumasi Metropolis, Ghana

Author:

Addo Matthew Glover,Mutala Abdul Hakim,Badu Kingsley

Abstract

This study compares the bacteriological and sensory characteristics of‘ fufu’ processed using grinding machines and traditional method at Ayigya, a suburb of Kumasi between December 2018 and February, 2019. Samples were collected from three different sites for fufu grinding machine and three sampling areas for traditional method using mortar and pestle and were coded GM1, GM2 and GM3; and MP1, MP2 and MP3 respectively. Bacterial counts and isolation from all the samples were done using standard methods. Morphological and biochemical characterization of the isolates were done and the organisms were identified using standard identification key. The sensory qualities of the samples were evaluated by a 20 member panelists of regular consumer of fufu. Bacterial counts of fufu processed using grinding machine ranged between 4.90×103 and 5.88 x 103 CFU/g while those obtained through traditional method of processing were between 2.01×103 and 2.76×103 CFU/g. Of the 72 bacterial isolates, 47(65.3%) of the isolates were Gram negative while 25(34.7%) were Gram-positive. The most frequent isolates in the samples were Staphylococcus sp. (34.7%), Escherichia coli (30.6%), Klebsiella sp. (22.2%) and Proteus sp. (12.5%). Consumer acceptance of ‘fufu’ obtained from the use of traditional pestle and mortar was significantly higher (P ˂ 0.001) than those obtained from the use of grinding machine. The study concluded that Klebsiella, Staphylococcus, Proteus and E. coli are associated with both the fufu grinding machines and the traditional mortar and pestle products and that consumers prefer the processed ‘fufu’ from the traditional source to the grinding machine.

Publisher

Sciencedomain International

Subject

General Medicine

Cited by 2 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