It is a legal requirement that all 'tight-fitting' respirators are fit tested to ensure that the 'fit' is appropriate for the user. Before working with a respirator users need to be fitted to a specific model and size of respirator to ensure that there is a tight seal to protect them.
We offer two methods of face fit testing.
This is a subjective test that involves using either a bitter or sweet aerosol solution to detect any face seal leakage whilst a mask is fitted. The solution is added to a restricted environment and the user is asked to inform the tester whether they can detect the solution whilst carrying out a series of exercises.
The qualitative method relies on the wearer’s taste response to the presence of the solution.
The seven-test protocol that is used for this method is the same as what is required by other test methods and is described in INDG 479. This method of face fit testing is suitable for filtering facepieces (disposable masks) and reusable half masks.
This method is not suitable for full face masks.
For quantitative testing we employ the Ambient Particle Counting method. This method of face fit testing analyses the atmosphere inside and outside the respirator. The ambient particle count is recorded by a TSI PortaCount. The particle ratio that is calculated provides the statistical result called the fit factor.
The fit factor determines whether there is an effective face seal present during the test.
As with the qualitative testing a seven-test protocol is used to determine the robustness of the face seal. These tests mimic day to day activities that would be carried out whilst wearing a respirator. The fit factor that is required for a pass is determined by the type of respirator that is being fitted. Further details of the required pass levels for a good fit factor can be found in
INDG 479 along with information about the seven-test protocol.
This method of testing can be used to fit test all types of tight-fitting masks including disposable, half and full face masks. In contrast to qualitative testing this method provides an objective, numerical result known as the fit factor.
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