Paul T. Steele

Portable Microcoil NMR Detection Coupled to Capillary Electrophoresis

High-efficiency separation techniques, such as capillary electrophoresis (CE), coupled to a nondestructive nuclear magnetic resonance (NMR) spectrometer offer the ability to separate, chemically identify, and provide structural information on analytes in small sample volumes. Previous CE-NMR coupled systems utilized laboratory-scale NMR magnets and spectrometers, which require very long separation capillaries. New technological developments in electronics have reduced the size of the NMR system, and small 1-2 T permanent magnets provide the possibilities of a truly portable NMR. The microcoils used in portable and laboratory-scale NMR may offer the advantage of improved mass sensitivity because the limit of detection (LOD) is proportional to the coil diameter. In this work, CE is coupled with a portable, briefcase-sized NMR system that incorporates a microcoil probe and a 1.8 T permanent magnet to measure (19)F NMR spectra. Separations of fluorinated molecules are demonstrated with stopped- and continuous-flow NMR detection. The results demonstrate that coupling CE to a portable NMR instrument is feasible and can provide a low-cost method to obtain structural information on microliter samples. An LOD of 31.8 nmol for perfluorotributylamine with a resolution of 4 ppm has been achieved with this system.

Autonomous, broad-spectrum detection of hazardous aerosols in seconds.

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.

Reagentless Detection of Mycobacteria tuberculosis H37Ra in Respiratory Effluents in Minutes

Two similar mycobacteria, Mycobacteria tuberculosis H37Ra and Mycobacteria smegmatis are rapidly detected and identified within samples containing a complex background of respiratory effluents using single-particle aerosol mass spectrometry (SPAMS). M. tuberculosis H37Ra (TBa), an avirulent strain, is used as a surrogate for virulent tuberculosis; M. smegmatis (MSm) is utilized as a near-neighbor confounder for TBa. Bovine lung surfactant and human exhaled breath condensate are used as first-order surrogates for infected human lung expirations from patients with pulmonary tuberculosis. This simulated background sputum is mixed with TBa or MSm and nebulized to produce conglomerate aerosol particles, single particles that contain a bacterium embedded within a background respiratory matrix. Mass spectra of single conglomerate particles exhibit ions associated with both respiratory effluents and mycobacteria. Spectral features distinguishing TBa from MSm in pure and conglomerate particles are shown. SPAMS pattern matching alarm algorithms are able to distinguish TBa-containing particles from background matrix and MSm for >50% of the test particles, which is sufficient to enable a high probability of detection and a low false alarm rate if an adequate number of such particles are present. These results indicate the potential usefulness of SPAMS for rapid, reagentless tuberculosis screening.

Detection of biological particles in ambient air using Bio-Aerosol Mass Spectrometry

The Bio-Aerosol Mass Spectrometry (BAMS) system is an instrument used for the real time detection and identification of biological aerosols. Particles are drawn from the atmosphere directly into vacuum and tracked as they scatter light from several continuous wave lasers. After tracking, the fluorescence of individual particles is excited by a pulsed 266nm or 355nm laser. Molecules from those particles with appropriate fluorescence properties are subsequently desorbed and ionized using a pulsed 266nm laser. Resulting ions are analyzed in a dual polarity mass spectrometer. During two field deployments at the San Francisco International Airport, millions of ambient particles were analyzed and a small but significant fraction were found to have fluorescent properties similar to Bacillus spores and vegetative cells. Further separation of non-biological background particles from potential biological particles was accomplished using laser desorption/ionization mass spectrometry. This has been shown to enable some level of species differentiation in specific cases, but the creation and observation of higher mass ions is needed to enable a higher level of specificity across more species. A soft ionization technique, matrix-assisted laser desorption/ionization (MALDI) is being investigated for this purpose. MALDI is particularly well suited for mass analysis of biomolecules since it allows for the generation of molecular ions from large mass compounds that would fragment under normal irradiation. Some of the initial results from a modified BAMS system utilizing this technique are described.

Use of Single Particle Aerosol Mass Spectrometry for the Automated Nondestructive Identification of Drugs in Multicomponent Samples

In this work, single particle aerosol mass spectrometry (SPAMS) was used to identify the active drug ingredients in samples of multicomponent over-the-counter (OTC) drug tablets with minimal damage to the tablets. OTC drug tablets in various formulations were analyzed including single active ingredient tablets and multi-ingredient tablets. Using a sampling apparatus developed in-house, micrometer-sized particles were simultaneously dislodged from tablets and introduced to the SPAMS, where dual-polarity mass spectra were obtained from individual particles. Active ingredients were identified from the parent ions and fragment ions formed from each sample, and alarm files were developed for each active ingredient, allowing successful automated identification of each compound in a mixture. The alarm algorithm developed for SPAMS correctly identified all drug compounds in all single-ingredient and multi-ingredient tablets studied. A further study demonstrated the ability of this technique to identify the active ingredient in a single tablet analyzed in the presence of several other nonidentical tablets. In situ measurements were also made by sampling directly from a drug sample in its original bottle. A single tablet embedded in 11 identical tablets of different composition was detected in this manner. Overall, this work demonstrates the ability of the SPAMS technique to detect a target drug compound both in complex tablets, i.e., multidrug ingredient tablets, and complex sampling environments, i.e., multitablet sampling sources. The technique is practically nondestructive, leaving the characteristic shape, color, and imprint of a tablet intact for further analysis. Applications of this technique may include forensic and pharmaceutical analysis.

Modular Sampling and Analysis Techniques for the Real-Time Analysis of Human Breath

At LLNL and UC Davis, we are developing several techniques for the real-time sampling and analysis of trace gases, aerosols and exhaled breath that could be useful for a modular, integrated system for breath analysis. Those techniques include single-particle bioaerosol mass spectrometry (BAMS) for the analysis of exhaled aerosol particles or droplets as well as breath samplers integrated with gas chromatography mass spectrometry (GC-MS) or MEMS-based differential mobility spectrometry (DMS). We describe these techniques and present recent data obtained from human breath or breath condensate, in particular, addressing the question of how environmental exposure influences the composition of breath.

Characterization of ambient aerosols at the San Francisco International Airport using bioaerosol mass spectrometry

The BioAerosol Mass Spectrometry (BAMS) system is a rapidly fieldable, fully autonomous instrument that can perform correlated measurements of multiple orthogonal properties of individual aerosol particles. The BAMS front end uses optical techniques to nondestructively measure a particles aerodynamic diameter and fluorescence properties. Fluorescence can be excited at 266nm or 355nm and is detected in two broad wavelength bands. Individual particles with appropriate size and fluorescence properties can then be analyzed more thoroughly in a dual-polarity time-of-flight mass spectrometer. Over the course of two deployments to the San Francisco International Airport, more than 6.5 million individual aerosol particles were fully analyzed by the system. Analysis of the resulting data has provided a number of important insights relevant to rapid bioaerosol detection, which are described here.

Advances in Ejecta Diagnostics at LLNL

Renewed interest in ejecta experiments at Lawrence Livermore National Laboratory has motivated reinvestigation and refinement of historical ejecta diagnostics as well as development of new diagnostics. Two diagnostics are discussed here: Asay foils and the multi-wavelength extinction diagnostic. Both are capable, in theory, of measuring ejecta mass or density as a function of time, but they work in fundamentally different ways and rely upon different assumptions. Significant changes have been made in the design of historical Asay foil assemblies. Associated experiments and modeling efforts are described. Ultimately, a miniaturized assembly has been made and tested that works in any orientation and produces data matching larger, historical designs. The ongoing development of the multi-wavelength extinction diagnostic is also described. The goal of this diagnostic is not just to measure ejecta mass but also the temporal evolution of the ejecta particle size distribution. Preliminary modeling and experiments are encouraging.

DSP-Based Dual-Polarity Mass Spectrum Pattern Recognition for Bio-Detection

The bio-aerosol mass spectrometry (BAMS) instrument analyzes single aerosol particles using a dual-polarity time-of-flight mass spectrometer recording simultaneously spectra of thirty to a hundred thousand points on each polarity. We describe here a real-time pattern recognition algorithm developed at Lawrence Livermore National Laboratory that has been implemented on a nine digital signal processor (DSP) system from Signatec Incorporated. The algorithm first pre-processes independently the raw time-of-flight data through an adaptive baseline removal routine. The next step consists of a polarity dependent calibration to a mass-to-charge representation, reducing the data to about five hundred to a thousand channels per polarity. The last step is the identification step using a pattern recognition algorithm based on a library of known particle signatures including threat agents and background particles. The identification step includes integrating the two polarities for a final identification determination using a score-based rule tree. This algorithm, operating on multiple channels per-polarity and multiple polarities, is well suited for parallel real-time processing. It has been implemented on the PMP8A from Signatec Incorporated, which is a computer based board that can interface directly to the two one-Giga-sample digitizers (PDA1000 from Signatec Incorporated) used to record the two polarities of time-of-flight data. By using optimized data separation, pipelining, and parallel processing across the nine DSPs it is possible to achieve a processing speed of up to a thousand particles per seconds, while maintaining the recognition rate observed on a non-real time implementation. This embedded system has allowed the BAMS technology to improve its throughput and therefore its sensitivity while maintaining a large dynamic range (number of channels and two polarities) thus maintaining the systems specificity for bio-detection

Radoptic effect in InP and GaN for ultrafast scintillator applications

Ultrafast scintillators are the subject of current research in an effort to better resolve ultrafast phenomena in high-energy density physics (HEDP) experiments. Despite extensive research on new scintillator materials, the essential mechanism of energy absorption, excitation, and photo-emission has remained unchanged for over 50 years. Recently, a new class of semiconductor detector has been developed utilizing the radoptic effect, or the change of refractive index when subjected to radiation, in an attempt to record events faster than conventional scintillators.1 This study was designed for the observation of the radoptic effect by optical interferometry in different semiconductors to experimentally determine the fastest and most sensitive materials for the optimization of current radsensors.