New and Emerging Technologies for Real-Time Air and Surface Beryllium Monitoring

Phifer, B.E. Jr. ; Churnetski, E.L. ; Cooke, L.E. ; Reed, J.J. ; Howell, M.L. ; Smith, V.D.

Oak Ridge Y-12 Plant

关键词: Monitoring;    Real Time Systems;    Air Pollution Monitors;    Beryllium;    Surface Contamination;   

DOI  :  10.2172/794063
RP-ID  :  Y/SM-34
RP-ID  :  AC05-00OR22800
RP-ID  :  794063

美国|英语

来源: UNT Digital Library

【 摘 要 】

In this study, five emerging technologies were identified for real-time monitoring of airborne beryllium: Microwave-Induced Plasma Spectroscopy (MIPS), Aerosol Beam-Focused Laser-Induced Plasma Spectroscopy (ABFLIPS), Laser-Induced Breakdown Spectroscopy (LIBS), Surfaced-Enhanced Raman Scattering (SERS) Spectroscopy, and Micro-Calorimetric Spectroscopy (CalSpec). Desired features of real-time air beryllium monitoring instrumentation were developed from the Y-12 CBDPP. These features were used as guidelines for the identification of potential technologies as well as their unique demonstrated capability to provide real-time monitoring of similar materials. However, best available technologies were considered, regardless of their ability to comply with the desired features. None of the five technologies have the capability to measure the particle size of airborne beryllium. Although reducing the total concentration of airborne beryllium is important, current literature suggests that reducing or eliminating the concentration of respirable beryllium is critical for worker health protection. Eight emerging technologies were identified for surface monitoring of beryllium. CalSpec, MIPS, SERS, LIBS, Laser Ablation, Absorptive Stripping Voltametry (ASV), Modified Inductively Coupled Plasma (ICP) Spectroscopy, and Gamma BeAST. Desired features of real-time surface beryllium monitoring were developed from the Y-12 CBDPP. These features were used as guidelines for the identification of potential technologies. However, the best available technologies were considered regardless of their ability to comply with the desired features.