Identifying the determinants of viable microorganisms in the air and bulk metalworking fluids.
Exposure assessment was conducted for an epidemiologic study of the respiratory effects of exposure to metalworking fluids (MWF). As part of the study, airborne microorganisms were collected with a two-stage microbial impactor, and a sample of the bulk soluble MWF was collected from each machine sump, as well as information about the work environment. These data were then used to develop multivariate statistical models of the determinants bulk MWF and airborne microbial levels. Microbial concentrations in the bulk MWF ranged from 5 x 10(4) to 5 x 10(10) colony-forming units (CFU)/mL, with a geometric mean of 3.4 x 10(7) CFU/mL. The geometric mean airborne microbial level was 182 CFU/m3 (for particles size <8 microm) with a range of 1 to 8,308 CFU/m3. In modeling the determinants of bulk microorganisms, fluid-related factors were the most important characteristics associated with microbial levels, followed by process-related and environmental factors. The final full multivariate model predicted a significant reduction in bulk microbial levels by increasing pH of the fluid and reducing the amount of tramp oil leaking into the fluid. For the airborne microbial models, process-related factors were the major characteristics associated with microbial levels, followed by factors related to worker activities and environmental factors. The final full multivariate model predicted a significant control of airborne microorganisms by increasing worker distance from the machine, reducing the number of machines within 10 feet of the worker, decreasing the bulk microbial levels, and adding machine enclosures. These models can be used to prioritize nonbiocidal interventions to control microbial contamination of the bulk MWF and the air.
Virji
M A
MA
Department of Work Environment, University of Massachusetts, Lowell 01854, USA. Abbas_Virji@wsib.on.ca
Woskie
S R
SR
Sama
S R
SR
Kriebel
D
D
Eberiel
D
D
D000391:Air Microbiology; D015169:Colony Count, Microbial; D006801:Humans; D007221:Industry; D008670:Metals; D008899:Mineral Oil / Q000032:analysis; D015233:Models, Statistical; D016273:Occupational Exposure / Q000706:statistics & numerical data*; D014865:Waste Disposal, Fluid; D014867:Water / Q000032:analysis
D008670:Metals; D014867:Water; D008899:Mineral Oil