Development of an integrated microfluidic instrument for unattended water-monitoring applications.

Field-deployable detection technologies in the nation's water supplies have become a high priority in recent years. The unattended water sensor is presented which employs microfluidic chip-based gel electrophoresis for monitoring proteinaceous analytes in a small integrated sensor platform. The instrument collects samples directly from a domestic water flow. The sample is then processed in an automated microfluidic module using in-house designed fittings, microfluidic pumps and valves prior to analysis via Sandia's microChemLab module, which couples chip-based electrophoresis separations with sensitive LIF detection. The system is controlled using LabVIEW software to analyze water samples about every 12 min. The sample preparation, detection and data analysis has all been fully automated. Pressure transducers and a positive control verify correct operation of the system, remotely. A two-color LIF detector with internal standards allows corrections to migration time to account for ambient temperature changes. The initial unattended water sensor prototype is configured to detect protein biotoxins such as ricin as a first step toward a total bioanalysis capability based on protein profiling. The system has undergone significant testing at two water utilities. The design and optimization of the sample preparation train is presented with results from both laboratory and field testing.

On-line monitoring system for chemical warfare agents using automated capillary micellar electrokinetic chromatography.

We present an automated analysis system for the detection of the chemical warfare blister agents, sulfur mustard (HD) and lewisite (L), in aqueous samples without any chemical derivatization. The system is compact in size and designed to operate in the field in a safe, autonomous manner for near real-time monitoring applications. It uses anionic surfactant-based capillary micellar electrokinetic chromatography (MEKC) to separate the sample followed by UV detection. The analysis time is sufficiently fast to allow direct detection of HD which enabled the estimation of effective hydrolysis rates in the aqueous sample matrix. The estimated hydrolysis half-life of HD in our system was 4.85 ± 0.05 min. The detection limit of HD was determined to be 10 ppm with a signal to noise ratio of 5. By contrast, L hydrolyzed too rapidly in aqueous samples to enable direct detection. Instead the first hydrolysis product 2-chlorovinyl arsonous acid (CVAA), also considered a blister agent, was detected with a detection limit of 0.7 ppm with a signal to noise ratio of 5.

Bacterial characterization using protein profiling in a microchip separations platform.

A rapid microanalytical protein-based approach to bacterial characterization is presented. Chip gel electrophoresis (CGE) coupled with LIF detection was used to analyze lysates from different bacterial cell lines to obtain signature profiles of the soluble protein composition. The study includes Escherichia coli, Bacillus subtilis, and Bacillus anthracis (Delta Sterne strain) vegetative cells as well as endospores formed from the latter two species as model organisms to demonstrate the method. A unified protein preparation protocol was developed for both cell types to streamline the benchtop process and aid future automation. Cells and spores were lysed and proteins solubilized using a combination of thermal and chemical lysis methods. Reducing agents, necessary to solubilize spore proteins, were eliminated using a small-scale rapid size-exclusion chromatography step to eliminate interference with down-stream protein labeling. This approach was found to be compatible with nonspore cells (i.e., vegetative cells) as well, not adversely impacting the protein signatures. Data are presented demonstrating distinct CGE protein signatures for our model organisms, suggesting the potential for discrimination of organisms on the basis of empirical protein patterns. The goal of this work is to develop a fast and field-portable method for characterizing bacteria via their proteomes.

Autonomous microfluidic sample preparation system for protein profile-based detection of aerosolized bacterial cells and spores.

For domestic and military security, an autonomous system capable of continuously monitoring for airborne biothreat agents is necessary. At present, no system meets the requirements for size, speed, sensitivity, and selectivity to warn against and lead to the prevention of infection in field settings. We present a fully automated system for the detection of aerosolized bacterial biothreat agents such as Bacillus subtilis (surrogate for Bacillus anthracis) based on protein profiling by chip gel electrophoresis coupled with a microfluidic sample preparation system. Protein profiling has previously been demonstrated to differentiate between bacterial organisms. With the goal of reducing response time, multiple microfluidic component modules, including aerosol collection via a commercially available collector, concentration, thermochemical lysis, size exclusion chromatography, fluorescent labeling, and chip gel electrophoresis were integrated together to create an autonomous collection/sample preparation/analysis system. The cycle time for sample preparation was approximately 5 min, while total cycle time, including chip gel electrophoresis, was approximately 10 min. Sensitivity of the coupled system for the detection of B. subtilis spores was 16 agent-containing particles per liter of air, based on samples that were prepared to simulate those collected by wetted cyclone aerosol collector of approximately 80% efficiency operating for 7 min.