Indoor air quality (IAQ) has been identified by the Environmental Protection Agency (EPA) as one of the most urgent top five environmental risks to public health. Numerous studies have documented that sick building syndrome (SBS) is surprisingly common even in buildings without widespread complaints and its relationship with hypersensitivity disease are often associated with exposure to high concentration of airborne microbial organisms. To contribute to knowledge on IAQ, this study evaluates the levels and composition of bacterial and fungal contamination of different offices in a tertiary institution in South-western Nigeria. A cross sectional design was used to compare the indoor airborne microbial load of three categories of offices within the institution premises: the central administrative (CA), academic (AC) and work and maintenance (W&M) offices. Indoor temperature (ºC) and relative humidity (%) of the respective offices were measured using a 5-in-1 multi-tester N21FR made in China and categorized into comfort and high levels. Air samples were collected using a TE-10-890 Andersen single stage microbial air sampler and the total counts per cubic metre were compared with the American Industrial Hygiene Association guideline (AIHA). Data were analyzed using descriptive statistics, t-test, Spearman’s rank correlation and regression analysis. Offices in CA recorded the highest mean indoor Total Bacteria Count (TBC) of 22.6 ± 12.2cfu/m3 as compared to W&M (18.3 ± 10.4cfu/m3) and AC (15.6 ± 8.4cfu/m3) p<0.05. However, AC offices recorded the highest mean Total Fungi Count (TFC) of 3.6 ± 2.3cfu/m3 as compared to CA (3.5 ± 1.7cfu/m3) and W&M (3.3 ± 2.1cfu/m3) p>0.05. The indoor TBC and TFC of the categories of offices were found to be lower than the AIHA guideline limit. The number of persons at the point of sampling was found to significantly predict the level of indoor TBC, p<0.01. The most isolated bacteria were Staphylococcus spp., Streptococcus spp. and Micrococcus spp., whereas Cladosporium spp., Aspergillus spp. were the most abundant fungi isolates. The present study implicated population as a major source of microbial contamination in the office environment. Adequate knowledge about indoor air quality in terms of microbial contamination and its implication on health should be provided to staff of the institution in the hierarchy of control measures to mitigate the levels of indoor airborne microorganisms.
Published in | Journal of Health and Environmental Research (Volume 4, Issue 3) |
DOI | 10.11648/j.jher.20180403.15 |
Page(s) | 113-118 |
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), 2018. Published by Science Publishing Group |
Indoor Air Quality, Microbial Load, Offices, Tertiary Institution, Nigeria
[1] | Occupational Safety and Health Administration (2011) Indoor Air Quality in Commercial and Institutional Buildings, OSHA Publication 3430-04. |
[2] | Huboyo HS, Tohno S, and Cao R (2011) Indoor PM Characteristics and CO Concentration Related to Water-based and Oil-based Cooking Emissions Using a Gas Stove. Aerosol Air Qual. Res. 11: 401–411. |
[3] | Tringe SG, Zhang T, Liu X, Yu Y. Lee WH, Yap J, et al (2008) The airborne metagenome in an indoor urban environment. PLoS ONE, 3, 1-10. |
[4] | Antikainen R, Lappalainen S, Lonnqvist A (2008) Exploring the relationship between indoor air and productivity. SJWEH Suppl, 4:79-82. |
[5] | David PW, Pawel W (2013) Effect of indoor environment on performances. ASHRAE Journal pp 46-50. |
[6] | Singh A, Syal M, Grady SC,. Korkmaz K (2010) effect of green building on employee health and productivy. Am. J. Public Health 100(9) P.1665. |
[7] | Malgorzata Golofit-Szymczak. Rafat, L. Gorny (2010) Bacterial and Fungal Aerosols in Air-Conditioned Office Buildings in Warsaw, Poland- The Winter Season. International Journal of Occupational Safety and Ergonomics (JOSE), 16.4: 465-476. |
[8] | Ajimatokin, HA, (2009). Influence of Indoor Environment on Health and Productivity. New York Science Journal, 2(4): 1554-02020 |
[9] | World Health Organization (2009) WHO Guideline for indoor air quality; dampness and Mould. |
[10] | Komalanathan Vimalanathan and Thangavelu Ramesh Babu (2014). The effect of indoor office environment on the work performance, health and well-being of office workers. Journal of Environmental Health Science and Engineering; 12:113. |
[11] | Wolkoff P and Kjaergaard SK (2007) The dichotomy of relative humidity on indoor air quality. Environ Int; 33: 850–857. |
[12] | Hassan AS and Ramli M (2010) Natural ventilation of indoor air temperature: A case study of the traditional malay house in Penang. Am J Eng Appl Sci; 3(3): 521–528. |
[13] | Ekhaise FO, and Ogboghodo BI (2011) Microbiological Indoor and Outdoor Air Quality of Two Major Hospitals in Benin City, Nigeria. Journal of Biomedical Research ISSN 2076-6270 (Print) 3.3:169-174. |
[14] | Mudarri, D. and Fisk, W. J. (2007). public health and economic impact of dampness and mold. Indoor Air. Blackwell publishing, Malden, MA, 17(3):226-235. |
[15] | Choa HJ, Schwartz J, Milton DK and Burge HA (2002) Populations and determinants of airborne fungi in large office buildings. Environ Health Perspect; 110: 777–782. |
[16] | American Industrial Hygiene Association (AIHA) (2001) Report of microbial growth task force. From http://www.hc-sc.gc.ca/ewh-semt/pubs/air/fungal-fongique/references-eng.php (retrieved 25 January 2018). Fairfax, VA1. |
[17] | Ana G. R., Fakunle A. G., Ogunjobi A. A. (2015). Indoor Airborne Microbial Burden and Risk of Acute Respiratory Infections among Children under-five in Ibadan, Nigeria. Indoor and Built Environment, 24(3): 308-314. |
[18] | Bartlett, K. H., Kennedy, S. M., Brauer, M., van Netten, C. and Dill, B. (2004), Evaluation and determinants of airborne bacterial concentrations in school classrooms. J. Occup. Environ. Hyg., 1, 639-647. |
[19] | Wemedo SA,. Ede PN, and Chuwku A (2012) Interaction between Building Design and Indoor Airborne Microbial load in Nigeria. Asian Journal of Biological Sciences, 5: 183-191. |
[20] | Samuel FH, Abayneh MM (2014) Microbiological Quality of Indoor Air in University Libraries. Asia Pac J. Trop. Biomed (Supp 1) S312- S317. |
[21] | Ana GRE, Zainab, O. Umar (2013) Inhalable particulate matter burden in selected day-care centres in Ibadan, Nigeria. International Journal of Environmental Monitoring and analysis, 1.6: 296-301. |
[22] | Yassin, M. F. Almouqatea, S (2010) Assessment of airborne bacteria and fungi in an indoor and outdoor environment. Int.J. Environ. Sci.Tech, 7.5: 535-544. |
[23] | Hospodsky D, Qian J, Nazaroff WW, Yamainoto N, Bibby K, and Rismani-Yazdi H (2012) Human occupancy as a source of indoor airborne bacteria: Plosone, 7:e348. |
APA Style
Akindele Oluwakemi Omolola, Ana Godson Rowland, Uchendu Obioma Chukwudi, Fakunle Adekunle Gregory, Bello Temilade Basirat. (2018). Indoor Airborne Microbial Load of Selected Offices in a Tertiary Institution in South-Western Nigeria. Journal of Health and Environmental Research, 4(3), 113-118. https://doi.org/10.11648/j.jher.20180403.15
ACS Style
Akindele Oluwakemi Omolola; Ana Godson Rowland; Uchendu Obioma Chukwudi; Fakunle Adekunle Gregory; Bello Temilade Basirat. Indoor Airborne Microbial Load of Selected Offices in a Tertiary Institution in South-Western Nigeria. J. Health Environ. Res. 2018, 4(3), 113-118. doi: 10.11648/j.jher.20180403.15
AMA Style
Akindele Oluwakemi Omolola, Ana Godson Rowland, Uchendu Obioma Chukwudi, Fakunle Adekunle Gregory, Bello Temilade Basirat. Indoor Airborne Microbial Load of Selected Offices in a Tertiary Institution in South-Western Nigeria. J Health Environ Res. 2018;4(3):113-118. doi: 10.11648/j.jher.20180403.15
@article{10.11648/j.jher.20180403.15, author = {Akindele Oluwakemi Omolola and Ana Godson Rowland and Uchendu Obioma Chukwudi and Fakunle Adekunle Gregory and Bello Temilade Basirat}, title = {Indoor Airborne Microbial Load of Selected Offices in a Tertiary Institution in South-Western Nigeria}, journal = {Journal of Health and Environmental Research}, volume = {4}, number = {3}, pages = {113-118}, doi = {10.11648/j.jher.20180403.15}, url = {https://doi.org/10.11648/j.jher.20180403.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jher.20180403.15}, abstract = {Indoor air quality (IAQ) has been identified by the Environmental Protection Agency (EPA) as one of the most urgent top five environmental risks to public health. Numerous studies have documented that sick building syndrome (SBS) is surprisingly common even in buildings without widespread complaints and its relationship with hypersensitivity disease are often associated with exposure to high concentration of airborne microbial organisms. To contribute to knowledge on IAQ, this study evaluates the levels and composition of bacterial and fungal contamination of different offices in a tertiary institution in South-western Nigeria. A cross sectional design was used to compare the indoor airborne microbial load of three categories of offices within the institution premises: the central administrative (CA), academic (AC) and work and maintenance (W&M) offices. Indoor temperature (ºC) and relative humidity (%) of the respective offices were measured using a 5-in-1 multi-tester N21FR made in China and categorized into comfort and high levels. Air samples were collected using a TE-10-890 Andersen single stage microbial air sampler and the total counts per cubic metre were compared with the American Industrial Hygiene Association guideline (AIHA). Data were analyzed using descriptive statistics, t-test, Spearman’s rank correlation and regression analysis. Offices in CA recorded the highest mean indoor Total Bacteria Count (TBC) of 22.6 ± 12.2cfu/m3 as compared to W&M (18.3 ± 10.4cfu/m3) and AC (15.6 ± 8.4cfu/m3) p3 as compared to CA (3.5 ± 1.7cfu/m3) and W&M (3.3 ± 2.1cfu/m3) p>0.05. The indoor TBC and TFC of the categories of offices were found to be lower than the AIHA guideline limit. The number of persons at the point of sampling was found to significantly predict the level of indoor TBC, pspp., Streptococcus spp. and Micrococcus spp., whereas Cladosporium spp., Aspergillus spp. were the most abundant fungi isolates. The present study implicated population as a major source of microbial contamination in the office environment. Adequate knowledge about indoor air quality in terms of microbial contamination and its implication on health should be provided to staff of the institution in the hierarchy of control measures to mitigate the levels of indoor airborne microorganisms.}, year = {2018} }
TY - JOUR T1 - Indoor Airborne Microbial Load of Selected Offices in a Tertiary Institution in South-Western Nigeria AU - Akindele Oluwakemi Omolola AU - Ana Godson Rowland AU - Uchendu Obioma Chukwudi AU - Fakunle Adekunle Gregory AU - Bello Temilade Basirat Y1 - 2018/09/03 PY - 2018 N1 - https://doi.org/10.11648/j.jher.20180403.15 DO - 10.11648/j.jher.20180403.15 T2 - Journal of Health and Environmental Research JF - Journal of Health and Environmental Research JO - Journal of Health and Environmental Research SP - 113 EP - 118 PB - Science Publishing Group SN - 2472-3592 UR - https://doi.org/10.11648/j.jher.20180403.15 AB - Indoor air quality (IAQ) has been identified by the Environmental Protection Agency (EPA) as one of the most urgent top five environmental risks to public health. Numerous studies have documented that sick building syndrome (SBS) is surprisingly common even in buildings without widespread complaints and its relationship with hypersensitivity disease are often associated with exposure to high concentration of airborne microbial organisms. To contribute to knowledge on IAQ, this study evaluates the levels and composition of bacterial and fungal contamination of different offices in a tertiary institution in South-western Nigeria. A cross sectional design was used to compare the indoor airborne microbial load of three categories of offices within the institution premises: the central administrative (CA), academic (AC) and work and maintenance (W&M) offices. Indoor temperature (ºC) and relative humidity (%) of the respective offices were measured using a 5-in-1 multi-tester N21FR made in China and categorized into comfort and high levels. Air samples were collected using a TE-10-890 Andersen single stage microbial air sampler and the total counts per cubic metre were compared with the American Industrial Hygiene Association guideline (AIHA). Data were analyzed using descriptive statistics, t-test, Spearman’s rank correlation and regression analysis. Offices in CA recorded the highest mean indoor Total Bacteria Count (TBC) of 22.6 ± 12.2cfu/m3 as compared to W&M (18.3 ± 10.4cfu/m3) and AC (15.6 ± 8.4cfu/m3) p3 as compared to CA (3.5 ± 1.7cfu/m3) and W&M (3.3 ± 2.1cfu/m3) p>0.05. The indoor TBC and TFC of the categories of offices were found to be lower than the AIHA guideline limit. The number of persons at the point of sampling was found to significantly predict the level of indoor TBC, pspp., Streptococcus spp. and Micrococcus spp., whereas Cladosporium spp., Aspergillus spp. were the most abundant fungi isolates. The present study implicated population as a major source of microbial contamination in the office environment. Adequate knowledge about indoor air quality in terms of microbial contamination and its implication on health should be provided to staff of the institution in the hierarchy of control measures to mitigate the levels of indoor airborne microorganisms. VL - 4 IS - 3 ER -