428
Views
11
CrossRef citations to date
0
Altmetric
Articles

Detection of pathogenic bioaerosols and occupational risk in a Philippine landfill site

, &
Pages 107-114 | Received 30 Nov 2016, Accepted 19 Feb 2017, Published online: 18 Apr 2017
 

ABSTRACT

Payatas landfill site is one of the major dumpsites in the Philippines. In this study, the landfill was evaluated regarding the presence and concentration of pathogenic bacterial aerosols through culture and molecular techniques. Bioaerosols are biological airborne particles that may or may not cause diseases. Active sampling was done using MAS-100 Air Sampler from both indoor and outdoor locations. To test the accuracy of the culture method, those that were presumptively identified as Staphylococcus aureus and Klebsiella pneumoniae were subjected to molecular analysis using 16s rRNA sequencing, and as a result, they were identified as different species. The exposure assessment done by interview showed matches among prevalent diseases. The results of this study can be used as a basis for creating standards and regulations for workers' and residents' safety and health in the landfill site.

Additional information

Funding

This work was funded by the Office of the Vice President for Academic Affairs, University of the Philippines System and the Office of the Chancellor of the University of the Philippines Diliman, through the Ph.D. Incentive Award of the Office of the Vice Chancellor for Research and Development.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 191.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.