Performance Validation by Third Party Industrial Hygienists

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Flow Sciences, a leading provider of containment solutions for laboratory, pilot plant, and manufacturing facilities consults with third party industrial hygienists to conduct in-house Factory Acceptance Tests (FATs) and Site Acceptance Tests (SATs) to ensure customers’ products perform at the level they need.

Flow Sciences partners with experienced third-party Industrial Hygiene (IH) consulting professionals from partnering companies to verify the containment performance of an enclosure using the following standardized testing methodologies:

  1. Surrogate Powder Testing at Flow Science’s Laboratory

Following IH consultation, Flow Sciences conducts personal and area air sampling inside our in-house laboratory following thorough decontamination. Air samples are run while demonstrators perform a mock task with little instruction and then submitted for AIHA Lab Accreditation Program (LAP) approved analysis. Finally, Flow Sciences’ team of scientists and engineers analyzes the resulting data and determines if the enclosure performs better than its Containment Performance Target (CPT).  Many customers choose to use their own operators and are invited to observe and participate in the testing at Flow Sciences.

  1. Surrogate Powder Testing at Client Site

If the customer requests an SAT, Flow Sciences utilizes staff from an IH company to perform the same testing methods as the FAT. However, the test is performed at the customer site. This testing option affords the customer the opportunity to verify the performance of their enclosure by having the test conducted using their own Standard Operating Procedures (SOPs) and employees.

  1. ASHRAE-110and ANSI/AIHA Z9.5 – Laboratory Ventilation

In accordance with the previously mentioned methodologies, Flow Sciences conducts Average Airflow Velocity Measurements, Flow Visualization, Large Volume Smoke, Tracer Gas, and Surrogate Gas testing. Flow Sciences utilizes consultation from IH consulting professionals to design a sampling protocol to model employee exposure in the field.