Isolation and identification of microorganisms associated with automated teller machines on Federal Polytechnic Ede campus

Author:

Dawodu O. G.ORCID,Akanbi R. B.

Abstract

Automated Teller Machines (ATM) are visited everyday by millions of people. This machine is accessible to the general public irrespective of class, age or race. The contact point of all ATM machines is the hand which on their own are ‘vaults’ of microorganisms. An elaborate survey was taken for complete assessment of possible microbial contamination in the Federal Polytechnic Ede campus. Selected ATM machines on campus were used as case study to characterize, identify and determine the degree of bacterial contamination of microorganisms and their potential as reservoir of microbes. Swabs were collected from each ATM screen, buttons, floor, user’s hand, and exposure of plates. After collection of the samples, they were plated in nutrient agar. The results showed the presence of increased bacterial count subsequently, most pathogens on characterization revealed the genus of the particular organisms E. coli, Pseudomonas, Staphylococcus aureus, Klebsiella, Micrococcus, Salmonella and Serratia. The study showed the potential hazard inherent in ATM machine usage and draws attention to our level of hand hygiene compliance.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference64 articles.

1. Barkalar N. Earth May Be Home to a Trillion Species of Microbes. In [Internet]. The New York Times; 23rd May 2016 [cited 23Jul.2021]. Available: https://www.nytimes.com/2016/05/24/science/one-trillion-microbes-on-earth.html

2. Taxonomic study of aromatic-degrading bacteria from deep-terrestrial-subsurface sediments and description of sphingomonas aromaticivorans sp. nov., sphingomonas subterranea sp. nov., and sphingomonas stygia sp. nov;D Balkwill;International Journal of Systematic and Evolutionary Microbiology,1997

Cited by 9 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