If we opt to use quantitative
fit testing to provide answers about respirator fit, then we have hard
numbers to back up our decisions. Before we get too comfortable with
those numbers and decisions, however, we may need to take a closer look
at what the researchers have really been telling us about those numbers.
Quantitative respirator
fit test (QNFT) systems based on generated aerosol were developed more
than 30 years ago, and have since been adopted as the "gold standard"
QNFT method by both ANSI (1) and OSHA.(2) Aerosol
fit test methods are based on the assumption that the aerosol concentration
measured inside a respirator divided by the aerosol concentration measured
outside the respirator provides a good representation of actual respirator
penetration or leakage. That sounds good in theory, and since we have
a long history of being able to measure a wide range of aerosol concentrations
with photometers, the development of an aerosol-based QNFT system was
certainly predictable. The inability to validate the basic assumptions
underlying such systems when they were developed should have raised
at least a small red flag of concern about their acceptability as a
"gold standard".
The leakage measurement
capabilities of aerosol-based fit test systems have never been validated.
That fact has not generated any visible evidence of concern on the part
of OSHA during its promulgation of numerous substance-specific standards
that address quantitative respirator fit testing. In those standards,
OSHA has consistently referred to generated aerosol fit test systems
as if they are in fact a validated "gold standard", against
which every other fit test method must be tested.
Several researchers have
raised a number of red flags about aerosol QNFT methods. Myers
(3) added the terms measurement bias and streamlining to the QNFT
vocabulary. His seminal research found that in-mask aerosol measurements
are significantly affected by factors such as sampling probe location,
probe depth, nose versus mouth breathing, and inhalation versus exhalation
cycles. Hinds (4) described differential aerosol losses during
penetration of respirator leak sites, as well as the impact of aerosol
lung deposition on fit test measurements. Willeke (5) found
that aerosol-based measurements of respirator leakage were affected
by the location of the leak, as well as by changes in inspiratory flow
rates. Oestenstad (6) provided graphic evidence of aerosol
streamlining inside respirators worn by human subjects. He used a flourescent
challenge agent and ultraviolet illumination to show evidence of aerosol
particles streamlining into the subjects nostrils or mouth instead
of migrating to the sampling probe where they could be detected as leakage
by the aerosol system.
Although a number of researchers
were reporting strong evidence that aerosol-based fit test systems do
not measure respirator leakage very well, such information was evidently
fairly easy to overlook or dismiss since no method was available for
quantifying just how bad aerosol measurements of respirator leakage
were. That situation changed with the development of the controlled
negative pressure (CNP) fit test method. (7) Since the development
of CNP, a number of comparison studies have reported that CNP fit test
systems consistently detect far more respirator leakage than aerosol-based
systems used to sequentially measure the same respirators on the same
subjects. (8-10) A validation study (11) of CNP
performance versus a generated aerosol standard included the introduction
of fixed leakage of > 530 mL/sec into both half-mask and full-face
respirators worn by 50 human subjects. The CNP system detected unacceptable
leakage in all 50 respirators, while the "gold standard" generated
aerosol system passed 30 of the 50 respirators.
Despite the consistency
with which CNP fit test systems detected up to 10 times more respirator
leakage than aerosol-based systems during sequential fit test studies,
the question of which system actually measured respirator leakage more
accurately remained open to debate. As a consequence, a different research
design was employed in an attempt to answer that question. Most of the
prior research involving comparisons of different fit test methods had
simply measured respirator fit sequentially with each system, without
any reference to a known true value. During most of that research, the
aerosol-based system was assumed to represent truth, even though it
had never been validated.
A method of introducing
a known amount of leakage into a respirator worn by a human subject
was developed by inserting fixed leaks (hypodermic needles) into the
respirator facepiece before it was donned. (12) The needle
was then capped while a complete fit test series was completed with
a CNP fit test system (Dynatech Nevada FitTester 3000). The leak needle
was then uncapped, and an identical fit test series was repeated using
the CNP system. The difference between the two fit tests represents
the leakage introduced into the respirator when the leak needle was
uncapped. Needle leakage was a direct function of the pressure gradient
across the needle during the fit test, which was measured for each subject.
A primary standard flow rate measurement device (Gilian Gilibrator)
was used to determine flow rate through the needle at the measured pressure
gradient.
Fit tests of the same respirators
and leak needles worn by the same subjects were then completed in the
manner described above using an ambient aerosol fit test system (TSI
Portacount Plus). During 75 separate fit test pairs conducted with half-mask
respirators on five separate subjects, the CNP system measured an average
of 105.2% of the known leakage introduced into the subjects' respirators,
while the Portacount Plus measured an average of only 20.8% of the known
leakage. CNP fit tests were completed in approximately one-fifth of
the time required to complete the ambient aerosol tests.
The same study design was
employed in a follow-on study of the FitTester 3000 and Portacount Plus
systems using a breathing machine-headform system. (13) A
series of fixed leaks were introduced via matched hypodermic needles
into three separate locations (bridge of nose, cheek, chin) in both
half-mask and full-face respirators mounted on the headform. The FitTester
system detected an average of 98.4% of the known leakage introduced
into the respirators during 96 separate fit tests. The coefficient of
variation (COV) was 4.3%. An analysis of variance revealed that CNP
measurements were not affected by leak location.
Portacount Plus measurements
of the same leaks averaged 40.3% of the known leak rates, with a COV
of 46.9%. An analysis of variance detected significant differences in
the ambient aerosol system's measurements of leakage as a function of
leak location. An inverse relationship was observed in Portacount leak
detection as a function of leak location between half-mask and full-face
respirators. The pattern of leak detection as a function of leak location
reported by the Portacount supports the theory of in-mask sampling bias
related to particle streamlining that has reported by other investigators.
The Portacount's overall increase in percent of the known leak detected,
relative to the study done with human subjects (40.3% vs. 20.8%), was
attributed to the lack of aerosol lung deposition in the breathing machine.
The CNP fit test method
was designed to measure respirator leakage directly. To do so, it employs
a well-established scientific principle that can be calibrated and validated
using primary standards. During a number of studies conducted with both
fixed systems and human subjects, the FitTester CNP system has consistently
been able to measure respirator leakage with exceptional accuracy, precision,
and speed.
The leak measurement capabilities
of aerosol-based fit test systems cannot be calibrated against primary
standards, and have never been validated. They measure respirator leakage
indirectly as a function of measured aerosol penetration. An array of
factors have been identified that significantly limit the ability of
aerosol systems to detect respirator leakage. As a consequence, aerosol
systems tend to over-state respirator fit by a wide margin.
References
1. ANSI Z88.10 (draft):
"Respirator Fit Methods". American National Standard Institute,
Inc., 1430 Broadway, New York, March 24, 1988.
2. U.S. Department of Labor:
"OSHA Lead Standard: Quantitative Fit Test Procedures," Code
of Federal Regulations Title 29 Part 1910.1025. Washington D.C.:U.S.
Government Printing Office, 1983.
3. Myers, W.R., J. Allender,
R. Plummer and T. Stobbe: "Parameters that Bias the Measurement
of Airborne Concentration Within a Respirator". Am. Ind. Hyg. Assoc.
J. 47(2):106-114, 1986.
4. Hinds, W.C. and G. Kraske:
"Performance of Dust Respirators with Facial Seal Leaks".
I. Experimental. Am. Ind. Hyg. Assoc. J. 48(10):836-841, 1987.
5. Willeke, K., and U. Krishnan:
"Present Procedures in Quantitative Respirator Fit Testing: Problems
and Potential Solutions." Appl. Occup. Environ. Hyg. 5(11): 762-768,
1990.
6. Oestenstad, R.K., J.L.
Perkins, and V.E. Rose: "Identification of Faceseal Leak Sites
on a Half-Mask Respirator". Am. Ind. Hyg. Assoc. J. 51(5):280-284,
1990.
7. Crutchfield, C.D., M.P.
Eroh and M.D. Van Ert: "A Feasibility Study of Quantitative Respirator
Fit Test by Controlled Negative Pressure." Am. Ind. Hyg. Assoc.
J. 52(4):172-176, 1991.
8. Crutchfield, C.D., R.M.
Murphy, and M.D. Van Ert: "A Comparison of Controlled Negative
Pressure and Aerosol Quantitative Respirator Fit Test Systems Using
Fixed Leaks." Am. Ind. Hyg. Assoc. J.52(6):249-251, 1991.
9. Graffeo, J.B.: "The
Classification of Respirator Fit as Determined by an Aerosol Method
and a Negative Pressure Method." Master's Research Project Report,
Department of Environmental Health Sciences, University of Alabama at
Birmingham, 1992.
10. Burnis, R.: Comparison
of Fit Factors Determined by an Aerosol Test Method and a Dynamic Pressure
Test Method. Masters Thesis. Dept. of Environmental Health Sciences,
University of Alabama, Birmingham, 1991.
11. Crutchfield, C., Ruiz,
A., and Van Ert, M.: A Validation Study of Respirator Fit Testing by
Controlled Negative Pressure. Appl. Occ. Environ. Hyg. 9(5):362-366,
1994.
12. Crutchfield, C.D., Park,
D.L. Henshel, J.L., et al.: "Determinations of Known Respirator
Leakage Using Controlled Negative Pressure and Ambient Aerosol QNFT
Systems." Am. Ind. Hyg. Assoc. J. 56(1):16-23, 1995.
13. Crutchfield, C.D., and
D.L. Park: "Effect of Leak Location on Measured Respirator Fit."
Am. Ind. Hyg. Assoc. J. 58(6):413-417, 1997.