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Dive into the research topics where Brian P. Dockendorff is active.

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Featured researches published by Brian P. Dockendorff.


Talanta | 2005

Automated portable analyzer for lead(II) based on sequential flow injection and nanostructured electrochemical sensors

Wassana Yantasee; Charles Timchalk; Glen E. Fryxell; Brian P. Dockendorff; Yuehe Lin

A fully automated portable analyzer for toxic metal ion detection based on a combination of a nanostructured electrochemical sensor and a sequential flow injection system has been developed in this work. The sensor was fabricated from a carbon paste electrode modified with acetamide phosphonic acid self-assembled monolayer on mesoporous silica (Ac-Phos SAMMS) which was embedded in a very small wall-jet (flow-onto) electrochemical cell. The electrode is solid-state and mercury-free. Samples and reagents were injected into the system and flowed through the electrochemical cell by a user programmable sequential flow technique which required minimal volume of samples and reagents and allowed the automation of the analyzer operation. The portable analyzer was evaluated for lead (Pb) detection due to the excellent binding affinity between Pb and the functional groups of Ac-Phos SAMMS as well as the great concern for Pb toxicity. Linear calibration curve was obtained in a low concentration range (1-25ppb of Pb(II)). The reproducibility was excellent; the percent relative standard deviation was 2.5 for seven consecutive measurements of 10ppb of Pb(II) solution. Excess concentrations of Ca, Ni, Co, Zn, and Mn ions in the solutions did not interfere with detection of Pb, due to the specificity and the large number of the functional groups on the electrode surface. The electrode was reliable for at least 90 measurements over 5 days. This work is an important milestone in the development of the next-generation metal ion analyzers that are portable, fully automated, and remotely controllable.


Journal of Laboratory Automation | 2009

A Flow-Through Ultrasonic Lysis Module for the Disruption of Bacterial Spores

Cynthia L. Warner; Cindy J. Bruckner-Lea; Jay W. Grate; Tim M. Straub; Gerald J. Posakony; Nancy B. Valentine; Richard M. Ozanich; Leonard J. Bond; Melissa M. Matzke; Brian P. Dockendorff; Catherine O. Valdez; Patrick Lj Valdez; Stanley L. Owsley

An automated, flow-through ultrasonic lysis module that is capable of disrupting bacterial spores to increase the DNA available for biodetection is described. The system uses a flow-through chamber that allows for direct injection of the sample without the need for a chemical or enzymatic pretreatment step to disrupt the spore coat before lysis. Lysis of Bacillus subtilis spores, a benign simulant of Bacillus anthracis, is achieved by flowing the sample through a tube whose axis is parallel to the faces of two transducers that deliver 10 W cm−2 to the surface of the tube at 1.4-MHz frequency. Increases in amplifiable DNA were assessed by real-time PCR analysis that showed at least a 25-fold increase in amplifiable DNA after ultrasonic treatment with glass beads, compared with controls with no ultrasonic power applied. The ultrasonic system and integrated fluidics are designed as a module that could be incorporated into multistep, automated sample treatment and detection systems for pathogens.


Analytical Chemistry | 2016

Organic Chemical Attribution Signatures for the Sourcing of a Mustard Agent and Its Starting Materials

Carlos G. Fraga; Krys Bronk; Brian P. Dockendorff; Alejandro Heredia-Langner

Chemical attribution signatures (CAS) are being investigated for the sourcing of chemical warfare (CW) agents and their starting materials that may be implicated in chemical attacks or CW proliferation. The work reported here demonstrates for the first time trace impurities from the synthesis of tris(2-chloroethyl)amine (HN3) that point to the reagent and the specific reagent stocks used in the synthesis of this CW agent. Thirty batches of HN3 were synthesized using different combinations of commercial stocks of triethanolamine (TEA), thionyl chloride, chloroform, and acetone. The HN3 batches and reagent stocks were then analyzed for impurities by gas chromatography/mass spectrometry. All the reagent stocks had impurity profiles that differentiated them from one another. This was demonstrated by building classification models with partial least-squares discriminant analysis (PLSDA) and obtaining average stock classification errors of 2.4, 2.8, 2.8, and 11% by cross-validation for chloroform (7 stocks), thionyl chloride (3 stocks), acetone (7 stocks), and TEA (3 stocks), respectively, and 0% for a validation set of chloroform samples. In addition, some reagent impurities indicative of reagent type were found in the HN3 batches that were originally present in the reagent stocks and presumably not altered during synthesis. More intriguing, impurities in HN3 batches that were apparently produced by side reactions of impurities unique to specific TEA and chloroform stocks, and thus indicative of their use, were observed.


Journal of Laboratory Automation | 2007

Use of a Novel Fluidics Microbead Trap/Flow-Cell Enhances Speed and Sensitivity of Bead-Based Bioassays

Richard M. Ozanich; Kate C. Antolick; Cindy J. Bruckner-Lea; Brian P. Dockendorff; Ashton N. Easterday; Heather C. Edberg; Jay W. Grate; Sujata Iyer; Laura H. Johnson; Timothy M. Straub; Cathy O. Valdez; Marvin G. Warner

Automated devices and methods for biological sample preparation often use surface functionalized microbeads (superparamagnetic or nonmagnetic) to allow capture, purification, and preconcentration of trace amounts of proteins, cells, or nucleic acids (DNA/RNA) from complex samples. We have developed unique methods and hardware for trapping either magnetic or nonmagnetic functionalized beads that allow samples and reagents to be efficiently perfused over a microcolumn of beads. This approach yields enhanced mass transport and up to fivefold improvements in assay sensitivity or speed, dramatically improving assay capability relative to assays conducted in more traditional “batch modes” (i.e., in tubes or microplate wells). Summary results are given that highlight the analytical performance improvements obtained for automated microbead processing systems using novel microbead trap/flow-cells for various applications including (1) simultaneous capture of multiple cytokines using an antibody-coupled polystyrene bead assay with subsequent flow cytometry detection; (2) capture of nucleic acids using oligonucleotide-coupled polystyrene beads with flow cytometry detection; and (3) capture of Escherichia coli 0157:H7 from 50-mL sample volumes using antibody-coupled superparamagnetic microbeads with subsequent culturing to assess capture efficiency.


Talanta | 2017

Elemental source attribution signatures for calcium ammonium nitrate (CAN) fertilizers used in homemade explosives

Carlos G. Fraga; Alexander V. Mitroshkov; Nikhil S. Mirjankar; Brian P. Dockendorff; Angie M. Melville

Calcium ammonium nitrate (CAN) is a widely available fertilizer composed of ammonium nitrate (AN) mixed with some form of calcium carbonate such as limestone or dolomite. CAN is also frequently used to make homemade explosives. The potential of using elemental profiling and chemometrics to match both pristine and reprocessed CAN fertilizers to their factories of origin for use in future forensic investigations was examined. Inductively coupled plasma-mass spectrometry (ICP-MS) was used to determine the concentrations of 64 elements in 125 samples from 11 CAN stocks from 6 different CAN factories. Using Fisher ratio and degree-of-class-separation, the elements Na, V, Mn, Cu, Ga, Sr, Ba and U were selected for classification of the CAN samples into 5 factory groups; one group was two factories from the same fertilizer company. Partial least squares discriminant analysis (PLSDA) was used to develop a classification model which was tested on a separate set of samples. The test set included samples that were analyzed at a different time period and samples from factory stocks that were not part of the training set. For pristine CAN samples, i.e., unadulterated prills, 73% of the test samples were matched to their correct factory group with the remaining 27% undetermined using strict classification. The same PLSDA model was used to correctly match all CAN samples that were reprocessed by mixing with powdered sugar. For CAN samples that were reprocessed by mixing with aluminum or by extraction of AN with tap or bottled water, correct classification was observed for one factory group, but source matching was confounded with adulterant interference for two other factories. The elemental signatures of the water-insoluble (calcium carbonate) portions of CAN provided a greater degree of discrimination between factories than the water-soluble portions of CAN. In summary, this work illustrates the strong potential for matching unadulterated CAN fertilizer samples to their manufacturing facility using elemental profiling and chemometrics. The effectiveness of this method for source determination of reprocessed CAN is dependent on how much an adulterant alters the recovered elemental profile of CAN.


Proceedings of SPIE | 2009

Bead-based assays for biodetection: from flow-cytometry to microfluidics

Richard M. Ozanich; Kathryn C. Antolick; Cynthia J. Bruckner-Lea; Kyle J. Bunch; Brian P. Dockendorff; Jay W. Grate; Michael A. Nash; Abby Tyler; Cynthia L. Warner; Marvin G. Warner

The potential for the use of biological agents by terrorists is a real threat. Two approaches for antibody-based detection of biological species are described in this paper: 1) The use of microbead arrays for multiplexed flow cytometry detection of cytokines and botulinum neurotoxin simulant, and 2) a microfluidic platform for capture and separation of different size superparamagnetic nanoparticles followed by on-chip fluorescence detection of the sandwich complex. These approaches both involve the use of automated fluidic systems for trapping antibody-functionalized microbeads, which allows sample, assay reagents, and wash solutions to be perfused over a micro-column of beads, resulting in faster and more sensitive immunoassays. The automated fluidic approach resulted in up to five-fold improvements in immunoassay sensitivity/speed as compared to identical immunoassays performed in a typical manual batch mode. A second approach for implementing multiplexed bead-based immunoassays without using flow cytometry detection is currently under development. The goal of the microfluidic-based approach is to achieve rapid (<20 minutes), multiplexed (≥ 3 bioagents) detection using a simple and low-cost, integrated microfluidic/optical detection platform. Using fiber-optic guided laser-induced fluorescence, assay detection limits were shown to be in the 100s of picomolar range (10s of micrograms per liter) for botulinum neurotoxin simulant without any optimization of the microfluidic device or optical detection approach.


Journal of Microbiological Methods | 2005

Automated methods for multiplexed pathogen detection

Timothy M. Straub; Brian P. Dockendorff; Maria D. Quiñonez-Díaz; Catherine O. Valdez; Janani I. Shutthanandan; Barbara J. Tarasevich; Jay W. Grate; Cynthia J. Bruckner-Lea


Analytica Chimica Acta | 2006

Enzyme-amplified protein microarray and a fluidic renewable surface fluorescence immunoassay for botulinum neurotoxin detection using high-affinity recombinant antibodies

Susan M. Varnum; Marvin G. Warner; Brian P. Dockendorff; Norman C. Anheier; Jianlong Lou; James D. Marks; Leonard A. Smith; Michael J. Feldhaus; Jay W. Grate; Cynthia J. Bruckner-Lea


Analyst | 2009

Renewable surface fluorescence sandwich immunoassay biosensor for rapid sensitive botulinum toxin detection in an automated fluidic format

Jay W. Grate; Marvin G. Warner; Richard M. Ozanich; Keith D. Miller; Heather A. Colburn; Brian P. Dockendorff; Kathryn C. Antolick; Norman C. Anheier; Michael A. Lind; Jianlong Lou; James D. Marks; Cynthia J. Bruckner-Lea


Archive | 2004

Rapid, Sensitive Detection of Botulinum Toxin on a Flexible Microfluidics Platform

Marvin G. Warner; Brian P. Dockendorff; Michael J. Feldhaus; Norman C. Anheier; James D. Marks; Jay W. Grate; Cindy J. Bruckner-Lea

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Jay W. Grate

Pacific Northwest National Laboratory

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Cynthia J. Bruckner-Lea

Pacific Northwest National Laboratory

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Marvin G. Warner

Pacific Northwest National Laboratory

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Richard M. Ozanich

Pacific Northwest National Laboratory

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Cindy J. Bruckner-Lea

Environmental Molecular Sciences Laboratory

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James D. Marks

University of California

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Norman C. Anheier

Pacific Northwest National Laboratory

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Carlos G. Fraga

Pacific Northwest National Laboratory

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Catherine O. Valdez

Pacific Northwest National Laboratory

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Cynthia L. Warner

Pacific Northwest National Laboratory

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