| Peer-Reviewed

Isolation and Identification of Bacteria on Automated Teller Machines (ATMs) in Makurdi Metropolis

Received: 31 August 2021     Accepted: 26 September 2021     Published: 16 February 2022
Views:       Downloads:
Abstract

The automated teller machine (ATM) has been an important device in the banking sector and other financial institutions. The aim of this study was to isolate and identify Bacteria on the keypads of selected Automated Teller Machines (ATMs) in Makurdi metropolis. Swab sticks soaked with sterile normal saline were used to collect specimens from the keypads of the ATMs. The swab sticks were immediately transferred to the laboratory of Microbiology in the Department of Biological Science, Benue State University Makurdi. The collected samples were pooled into different tubes containing sterile normal saline and was agitated for 5minutes. This was further inoculated using the spread plate technique. The keypads of fifty (50) ATMs from five different locations in Makurdi were examined for bacterial contamination. The bacteria isolated from this study were, Staphylococcus aureus with a prevalence of (41.6%), Escherichia coli (34.4%) and Klebsiella pneumoniae (24.0%) on the keypads of the ATMs. There was a statistically significant relationship between the bacterial isolates and the respective locations (X2=72.96; df=8; p=0.000). This result gives the impression that ATMs could be a potential “pathogen city”. Therefore, adequate personal hygiene and regular routine cleaning of these machines bythe bank’s authorities is recommended.

Published in Frontiers in Environmental Microbiology (Volume 8, Issue 1)
DOI 10.11648/j.fem.20220801.11
Page(s) 1-5
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Automated Teller Machine (ATM), Bacteria, Contamination and Makurdi

References
[1] Adedeji, A. B. (2019). A Study Investigating Bacterial Colonization on Automated Teller Machines in Ibadan Metropolis, South-West Nigeria. Acta Scientific Pharmaceutical Sciences, 3 (6): 119-132.
[2] Agu, R. C., Osondu-Ayanwu, C. and Nwachukwu, A. A. (2018). Isolation and identification of Microorganisms associated with automated teller Machines in Calabar metropolis. Journal of Advances in Biology and Biotechnology, 18 (3): 1-7.
[3] Mbajiuka, S. C. (2015). Isolation and Identification of microorgansism, associated with the use of automated teller machine (ATM) in Michael Okpara University of agriculture, Umudike (MOUAU) and its Environs. World Journal of pharmaceutical Research, 4 (8): 85-89.
[4] Nagajothi, J. (2015). Study of Prevalence of Microbial Contamination with its Antibiotic Resistance Pattern in Automated Teller Machine in and around Puducherry, India. Journal of Earth Environment and Health Sciences, 1 (1): 27-3.
[5] Nwankwo, E. O. and Offiah J. C. (2016). Bacterial Contamination of User Interface of Automated Teller Machines (ATM) of Various Banks in Umuahia Metropolis, Abia State, Nigeria. International Journal of Tropical Disease & Health, 13 (3): 1-9.
[6] Nworie, O., Mbaba, M., Chukwudi, A., Oko, I., Chukwudum, S. O., Agah, V. M. and Ekuma, U. O. (2012). Antibiogram of bacteria Isolated from automated teller machines within Abakaliki Metropolis. American Journal of Infectious Disease, 8 (4): 168-174.
[7] Okoro, J., Oloninefa, S. D., Ojonigu, A. F. and Sani, M. (2018). Assessment of some selected automated teller Machines In Kaduna Metropolis for Pathogenic Bacteria Contamination, British Journal of Environmental Sciences. 6 (1): 19-35.
[8] Onuoha, S. C. and Fatokun, K. (2014). Bacterial contamination and public health risk associated with the use of banks automated teller machines (ATMs) in Ebonyi State, Nigeria. Journal of Public Health Research, 2 (2): 46-50.
[9] Tarun, M. (2014). Drugs and Diseases. Medscape. Transfer efficiency of Gram positive bacteria, Gram negative bacteria and phages. Journal of Applied Microbiology, 93: 585-592.
[10] Tekerekoglu, M. S. (2013). ‘’Bacteria found on Banks automated teller machines (ATMs)’’. African Journal of Microbiology Research, 7 (16): 1619-1621.
[11] Wikipedia., 2009. “Benue State, Nigeria”, Retrieved from hpp/en.wikipedia.org/wiki/Benue-State.
Cite This Article
  • APA Style

    Awua Yuana, Tsekaa Emmanuel Terkimbi, Atu Bernard Ortwer, Adikwu Peter, Gberikon Grace Mwuese, et al. (2022). Isolation and Identification of Bacteria on Automated Teller Machines (ATMs) in Makurdi Metropolis. Frontiers in Environmental Microbiology, 8(1), 1-5. https://doi.org/10.11648/j.fem.20220801.11

    Copy | Download

    ACS Style

    Awua Yuana; Tsekaa Emmanuel Terkimbi; Atu Bernard Ortwer; Adikwu Peter; Gberikon Grace Mwuese, et al. Isolation and Identification of Bacteria on Automated Teller Machines (ATMs) in Makurdi Metropolis. Front. Environ. Microbiol. 2022, 8(1), 1-5. doi: 10.11648/j.fem.20220801.11

    Copy | Download

    AMA Style

    Awua Yuana, Tsekaa Emmanuel Terkimbi, Atu Bernard Ortwer, Adikwu Peter, Gberikon Grace Mwuese, et al. Isolation and Identification of Bacteria on Automated Teller Machines (ATMs) in Makurdi Metropolis. Front Environ Microbiol. 2022;8(1):1-5. doi: 10.11648/j.fem.20220801.11

    Copy | Download

  • @article{10.11648/j.fem.20220801.11,
      author = {Awua Yuana and Tsekaa Emmanuel Terkimbi and Atu Bernard Ortwer and Adikwu Peter and Gberikon Grace Mwuese and Odo Joel Inya},
      title = {Isolation and Identification of Bacteria on Automated Teller Machines (ATMs) in Makurdi Metropolis},
      journal = {Frontiers in Environmental Microbiology},
      volume = {8},
      number = {1},
      pages = {1-5},
      doi = {10.11648/j.fem.20220801.11},
      url = {https://doi.org/10.11648/j.fem.20220801.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.fem.20220801.11},
      abstract = {The automated teller machine (ATM) has been an important device in the banking sector and other financial institutions. The aim of this study was to isolate and identify Bacteria on the keypads of selected Automated Teller Machines (ATMs) in Makurdi metropolis. Swab sticks soaked with sterile normal saline were used to collect specimens from the keypads of the ATMs. The swab sticks were immediately transferred to the laboratory of Microbiology in the Department of Biological Science, Benue State University Makurdi. The collected samples were pooled into different tubes containing sterile normal saline and was agitated for 5minutes. This was further inoculated using the spread plate technique. The keypads of fifty (50) ATMs from five different locations in Makurdi were examined for bacterial contamination. The bacteria isolated from this study were, Staphylococcus aureus with a prevalence of (41.6%), Escherichia coli (34.4%) and Klebsiella pneumoniae (24.0%) on the keypads of the ATMs. There was a statistically significant relationship between the bacterial isolates and the respective locations (X2=72.96; df=8; p=0.000). This result gives the impression that ATMs could be a potential “pathogen city”. Therefore, adequate personal hygiene and regular routine cleaning of these machines bythe bank’s authorities is recommended.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Isolation and Identification of Bacteria on Automated Teller Machines (ATMs) in Makurdi Metropolis
    AU  - Awua Yuana
    AU  - Tsekaa Emmanuel Terkimbi
    AU  - Atu Bernard Ortwer
    AU  - Adikwu Peter
    AU  - Gberikon Grace Mwuese
    AU  - Odo Joel Inya
    Y1  - 2022/02/16
    PY  - 2022
    N1  - https://doi.org/10.11648/j.fem.20220801.11
    DO  - 10.11648/j.fem.20220801.11
    T2  - Frontiers in Environmental Microbiology
    JF  - Frontiers in Environmental Microbiology
    JO  - Frontiers in Environmental Microbiology
    SP  - 1
    EP  - 5
    PB  - Science Publishing Group
    SN  - 2469-8067
    UR  - https://doi.org/10.11648/j.fem.20220801.11
    AB  - The automated teller machine (ATM) has been an important device in the banking sector and other financial institutions. The aim of this study was to isolate and identify Bacteria on the keypads of selected Automated Teller Machines (ATMs) in Makurdi metropolis. Swab sticks soaked with sterile normal saline were used to collect specimens from the keypads of the ATMs. The swab sticks were immediately transferred to the laboratory of Microbiology in the Department of Biological Science, Benue State University Makurdi. The collected samples were pooled into different tubes containing sterile normal saline and was agitated for 5minutes. This was further inoculated using the spread plate technique. The keypads of fifty (50) ATMs from five different locations in Makurdi were examined for bacterial contamination. The bacteria isolated from this study were, Staphylococcus aureus with a prevalence of (41.6%), Escherichia coli (34.4%) and Klebsiella pneumoniae (24.0%) on the keypads of the ATMs. There was a statistically significant relationship between the bacterial isolates and the respective locations (X2=72.96; df=8; p=0.000). This result gives the impression that ATMs could be a potential “pathogen city”. Therefore, adequate personal hygiene and regular routine cleaning of these machines bythe bank’s authorities is recommended.
    VL  - 8
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Department of Biological Sciences, Benue State University, Makurdi, Nigeria

  • Department of Biological Sciences, Benue State University, Makurdi, Nigeria

  • Department of Biological Sciences, Benue State University, Makurdi, Nigeria

  • Department of Biological Sciences, Benue State University, Makurdi, Nigeria

  • Department of Microbiology, College of Sciences, Federal University of Agriculture, Makurdi, Nigeria

  • Department of Microbiology, College of Sciences, Federal University of Agriculture, Makurdi, Nigeria

  • Sections