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RECHERCHE

American Industrial Hygiene Conference and Expo AIHce EXP

mai 20 2019 - mai 22 2019 Minneapolis Convention Center, 1301 2nd Ave S, Minneapolis, MN 55403 1615 https://www.aihce2019.org/Pages/default.aspx

See TSI at #AIHceEXP in Minneapolis this MayAIHce Expo is a major conference and tradeshow for industrial hygiene, occupational health & safety, OHS, OEHS, EHS, and other professionals. In 2019, the event comes to Minneapolis! 

Two TSI experts will present at AIHce on May 21.

  • Kevin Chase presents "Advantages of Real-Time Aerosol Monitoring" at 12:15 to 12:40 in the Learning Pavilion
  • Greg Olson presents "The Importance of Aerosol in Ambient Aerosol Respirator Fit Testing" in Room 101G. See abstract.1

We're excited to see our friends and customers in our part of the country this year. We hope you will visit TSI in booth 1615 at #AIHceEXP to see health, safety, environmental, energy, and comfort instruments, tools, and systems. We are ready to help you meet health, safety, and hygiene standards and get your questions answered. See you at the show!

1Abstract, "The Importance of Aerosol in Ambient Aerosol Respirator Fit Testing." Ensuring workers are wearing properly fitting masks is paramount to providing safety. By performing a quantitative fit test, we look at the overall fit factor to determine if the mask meets the pass/fail level for the respirator per OSHA 20CFR 1910.134. Quantitative respirator fit testers are a common tool to conduct the fit tests, and fit test administrators often accept that they simply work. They don't necessarily think about or understand the technology behind the instruments. With the Ambient Aerosol fit test method, the aerosol science can be taken for granted. With potential new technologies, it is important to revisit aerosol fundamentals, and understand that applying the proper technology plays a key role in a quality measurement, proper fitting of masks, and ultimately, safety. Proper application of aerosol science, or particle counting statistics, is needed to ensure workers are wearing good fitting respirators. Particle counting statistics associated with aerosol science determine empirically how well a given particle counting device can accurately determine the overal fit factor for a respirator fit test along with a measure of confidence interval. This presentation examines, compares, and contrasts particle counting statistics of different technologies used in the Ambient Aerosol Fit Testing Method.