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Updated: Aug 7, 2026

VacuSIP, an Improved InEx Method for In Situ Measurement of Particulate and Dissolved Compounds Processed by Active Suspension Feeders
Published on: August 3, 2016
Vacuum sampling techniques for industrial hygienists, with emphasis on beryllium dust sampling
Kathryn L Creek1, Gary Whitney, Kevin Ashley
1Los Alamos National Laboratory, P.O. Box 1663, M.S. D454, Bikini Atoll Road, SM-30, Los Alamos, NM 87545, USA. creek@lanl.gov
New vacuum sampling methods could improve detection of beryllium contamination in workplaces. This approach offers a more practical solution for assessing worker exposure and ensuring safety compliance with regulations.
Area of Science:
- Industrial Hygiene
- Occupational Health and Safety
- Environmental Monitoring
Background:
- The U.S. Department of Energy's Chronic Beryllium Disease Prevention Program Rule (10 CFR Part 850) mandates beryllium monitoring.
- Current surface sampling methods (wet/dry wipes) are often impractical for diverse workplace surfaces.
- Existing vacuum sampling methods are not always suitable for industrial settings.
Purpose of the Study:
- To explore the applicability of vacuum sampling for beryllium surface contamination.
- To identify validated methods for industrial hygiene evaluations.
- To recommend harmonization of sampling methodologies.
Main Methods:
- Discussion of various vacuum sampling methodologies.
- Review of recent applications in bio-terrorism agent sampling.
- Consideration of extending these methods to metal sampling, including beryllium.
Main Results:
- Vacuum sampling shows potential for evaluating beryllium surface contamination.
- Adaptation of methods used for bio-terrorism agents may be feasible for industrial hygiene.
- Validated methods are needed to provide meaningful data for risk assessment.
Conclusions:
- Validated vacuum sampling methods are valuable for industrial hygienists.
- These methods can identify contamination, assess controls, and determine airborne risks.
- Harmonization of sampling methods is recommended for consistent and reliable data.
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