Detection of biological particles in ambient air using bioaerosol mass spectrometry

McJimpsey, Erica L.; Steele, Paul T.; Coffee, Keith R.; Fergenson, David P.; Riot, Vincent; Woods, Bruce W.; Gard, Eric E.; Frank, Matthias; Tobias, Herbert J.; Lebrilla, Carlito B.

doi:10.1117/12.666459

Cited by 6 publications

(6 citation statements)

References 19 publications

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“…Mass spectrometry of individual flowing airborne particles is a very promising technique (50)(51)(52)(53)(54). However, the instrumentation appears relatively expensive, requiring high vacuums, etc.…”

Section: Some Instrumentation Used To Measure Bioaerosolsmentioning

confidence: 99%

Fluorescence of Bacteria, Pollens, and Naturally Occurring Airborne Particles: Excitation/Emission Spectra

Hill¹,

Mayo²,

Chang³

2009

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Approved for public release; distribution unlimited. FOR OFFICIAL USE ONLYii REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

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Section: Some Instrumentation Used To Measure Bioaerosolsmentioning

confidence: 99%

Fluorescence of Bacteria, Pollens, and Naturally Occurring Airborne Particles: Excitation/Emission Spectra

Hill¹,

Mayo²,

Chang³

2009

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“…T he Bioaerosol Mass Spectrometry (BAMS) system was developed for national security and public health applications including the real-time, in situ detection of airborne pathogens [1] and biowarfare agents [2,3]. It has the ability to distinguish Bacillus spores from vegetative cells on a particle by particle basis using ion peaks under m/z 300 [4], and has demonstrated preliminary species level differentiation of individual Bacillus spores using low mass biomarker peaks [5,6].…”

mentioning

confidence: 99%

Parameters contributing to efficient ion generation in aerosol MALDI mass spectrometry

McJimpsey

Jackson

Lebrilla

et al. 2008

J. Am. Soc. Mass Spectrom.

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The Bioaerosol Mass Spectrometry (BAMS) system was developed for the real-time detection and identification of biological aerosols using laser desorption ionization. Greater differentiation of particle types is desired; consequently MALDI techniques are being investigated. The small sample size (ϳ1 m 3 ), lack of substrate, and ability to simultaneously monitor both positive and negative ions provide a unique opportunity to gain new insight into the MALDI process. Several parameters known to influence MALDI molecular ion yield and formation are investigated here in the single particle phase. A comparative study of five matrices (2,6-dihydroxyacetophenone, 2,5-dihydroxybenzoic acid, ␣-cyano-4-hydroxycinnamic acid, ferulic ␣ acid, and sinapinic acid) with a single analyte (angiotensin I) is presented and reveals effects of matrix selection, matrix-to-analyte molar ratio, and aerosol particle diameter. The strongest analyte ion signal is found at a matrix-to-analyte molar ratio of 100:1. At this ratio, the matrices yielding the least and greatest analyte molecular ion formation are ferulic acid and ␣-cyano-␣ 4-hydroxycinnamic acid, respectively. Additionally, a significant positive correlation is found between aerodynamic particle diameter and analyte molecular ion yield for all matrices. SEM imaging of select aerosol particle types reveals interesting surface morphology and structure.

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“…Regardless of the algorithm used, the false alarm rate of any detector depends critically upon the environment in which it is placed. Older SPAMS systems were twice sent to characterize ambient aerosols at SFO. , Data from the first and longer of those field tests is used here to demonstrate the potential for a low false alarm rate in real-world environments.…”

Section: Methodsmentioning

confidence: 99%

“…Older SPAMS systems were twice sent to characterize ambient aerosols at SFO. 23,24 Data from the first and longer of those field tests is used here to demonstrate the potential for a low false alarm rate in real-world environments.…”

Section: 22mentioning

confidence: 99%

Autonomous, Broad-Spectrum Detection of Hazardous Aerosols in Seconds

et al. 2008

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Actual or surrogate chemical, biological, radiological, nuclear, and explosive materials and illicit drug precursors can be rapidly detected and identified when in aerosol form by a Single-Particle Aerosol Mass Spectrometry (SPAMS) system. This entails not only the sampling of such particles but also the physical analysis and subsequent data analysis leading to a highly reliable alarm state. SPAMS hardware is briefly reviewed. SPAMS software algorithms are discussed in greater detail. A laboratory experiment involving actual threat and surrogate releases mixed with ambient background aerosols demonstrates broad-spectrum detection within seconds. Data from a field test at the San Francisco International Airport demonstrate extended field operation with an ultralow false alarm rate. Together these data sets demonstrate a significant and important advance in rapid aerosol threat detection.Single-Particle Aerosol Mass Spectrometry (SPAMS) was initially developed at Lawrence Livermore National Laboratory to detect and identify biological aerosols.1,2 Since such aerosols are arguably among the most difficult to rapidly and accurately detect, this was a significant achievement. It also had immediate and important applications: biological warfare agents are potentially lethal in picogram quantities, 3,4 have been aerosolized for terrorist purposes, 5,6 and must be rapidly detected if medical treatment is to be maximally effective. Nonetheless, there are many other types of particles that are lethal or indicative of nefarious activity and far more frequently encountered. Chemical, biological, radiological, nuclear, and explosive (CBRNE) materials and illicit drugs or their precursors can all form airborne particles. Consequently, SPAMS is now being investigated as a potential means for their detection. SPAMS is even being explored as a means to analyze human respiratory effluent for various biomedical applications. 7,8 Such applications, however, present unique challenges and will not be discussed here. It should be noted that the technique was initially called Bio-Aerosol Mass Spectrometry (BAMS), but due to its growing range of applications a name change was requisite.In brief, SPAMS samples particles directly from the air and then reagentlessly and individually analyzes them. Correlated data on single-particle size, charge, and laser-induced fluorescence (LIF; measured for two excitation wavelengths independently) can be collected in addition to a full dual-polarity mass spectrum. Accurate single-particle identification is possible, and very accurate alarms can be triggered. Early SPAMS hardware evolved from ATOFMS instruments, 9 which were developed by the Prather group at U.C. Riverside and commercialized by TSI Inc., but the newest SPAMS systems are entirely distinct. Other varieties of aerosol mass spectrometer exist as well, 10,11 but few if any such instruments were specifically intended for rapid detection of lowconcentration aerosols in high-concentration backgrounds. The instrument of Wuijckhuijse et al....

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Detection of biological particles in ambient air using bioaerosol mass spectrometry

Cited by 6 publications

References 19 publications

Fluorescence of Bacteria, Pollens, and Naturally Occurring Airborne Particles: Excitation/Emission Spectra

Fluorescence of Bacteria, Pollens, and Naturally Occurring Airborne Particles: Excitation/Emission Spectra

Parameters contributing to efficient ion generation in aerosol MALDI mass spectrometry

Autonomous, Broad-Spectrum Detection of Hazardous Aerosols in Seconds

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