Improved specific biodetection with ion trap mobility spectrometry (ITMS): a 10-min, multiplexed, immunomagnetic ELISA.

Enabling trace chemical detection equipment utilized in the field to transduce a biodetection assay would be advantageous from a logistics, training, and maintenance standpoint. Described herein is an assay design that uses an unmodified, commercial off-the-shelf (COTS) ion trap mobility spectrometer to analyze an immunomagnetic enzyme-linked immunosorbant assay (ELISA). The assay, which uses undetectable enzymatic substrates and ELISA-generated detectable products, was optimized to quantitatively report the amount of target in the sample. Optimization of this ELISA design retained the assay specificity and detection limit (approximately 10(3) E. coli per assay) while decreasing the number of user steps and reducing the assay time to 10 min (>9-fold decrease as compared to past studies). Also discussed are previously undescribed, independent substrate/enzyme/product combinations used in the immunomagnetic ELISA. These discoveries allow for the possibility of a quantitative, multiplexed, 10-min assay that is analyzed by the ion trap mobility spectrometer trace chemical detector.

Matrix effects by specific buffer components in the analysis of metabolites with ion trap mobility spectrometry.

The impact of buffer conditions on the ion trap mobility spectrometer (ITMS) signal is investigated through a series of statistically driven design of experiments (DOEs). A growing number of new ion mobility spectrometry (IMS) and ITMS applications are being performed with a physiological sample matrix, which is vastly different from the particulate and vapor matrixes that have been traditionally analyzed. Currently, there have been no efforts to globally examine the possibility of matrix suppression or enhancement of the IMS signal by these various components within physiological matrixes. This investigation consists of an effort to gauge the effects of common physiological buffer components and concentrations on two analytes of interest for ITMS analysis: o-nitrophenol and ephedrine. We show that, among the factors investigated, for a specific analyte and instrumental detection mode (i.e., negative/positive) the solution pH, presence of a protein, the buffer identity, and buffer concentration should be considered as they will enhance or suppress the ITMS signal while factors such as surfactant and salt concentration may play less of a role in impacting detectable ITMS signal. These observations are supported through statistical analysis of the DOE-derived data set.

Analysis of biogenic amine variability among individual fly heads with micellar electrokinetic capillary chromatography-electrochemical detection.

Neurochemical variability among individual Drosophila heads has been examined with the sensitivity of electrochemical detection and the selectivity of micellar electrokinetic capillary chromatography. Homogenization of single Drosophila heads in volumes as small as 100 nL has been accomplished. Here we demonstrate reproducible separations for single fly heads in 250-nL volumes providing a 4-fold increase in sensitivity without overloading the electrochemical detector. This increase in sensitivity allows detection of previously undetected analytes, such as N-acetyltyramine (naTA) and octopamine (OA). Analytes including L-3,4-dihydroxyphenylalanine, N-acetyl octopamine, N-acetyldopamine, naTA, N-acetylserotonin, OA, dopamine, tyramine, and serotonin also have been consistently identified in single-head homogenates and observed with homogenates representing populations of Drosophila. Neurochemical variation between individual flies as well as the consistency within a population indicates varying amounts of neurotransmitter turnover. The inception, design, and fabrication of a miniature tissue homogenizer has enabled the separation of biogenic amines and metabolites from these severely volume-limited single Drosophila head homogenates.

Microcolumn separation of amine metabolites in the fruit fly.

Electrophoretic resolution of 14 biogenic amines and metabolites with similar mobilities is addressed by employing micellar electrokinetic capillary chromatography coupled to amperometric electrochemical detection. The present study describes the optimization of separation conditions to achieve resolution of analytes of biological significance within 20 min in a single separation. They include dopamine, epinephrine, norepinephrine, octopamine (OA), L-3, 4-dihydroxyphenylalanine, tyramine (TA), and serotonin as well as metabolites 5-hydroxyindolacetic acid, 3,4-dihydroxyphenylacetic acid, homovanillic acid, and 3-methoxytyramine in addition to N-acetylated metabolites including N-acetyldopamine, N-acetyloctopamine (naOA), and N-acetylserotonin. The optimized conditions used result in excellent reproducibility and predictable peak shifting, thus enabling identification of several metabolites along with their biogenic amine precursors in biological samples, specifically from the fruit fly Drosophila melanogaster. The separation method is sensitive, selective, and quantitative as demonstrated by its capacity to detect changes in TA, OA, and naOA present in the head homogenates of the Canton-S and mutant inactive(1) Drosophila lines. Quantitative analysis of metabolites in conjunction with their biogenic amine precursors in a single separation offers tremendous potential to understand the physiological processes and underlying mechanisms mediated by various biogenic amines in Drosophila and other animals.

Analysis of Mammalian Cell Cytoplasm with Electrophoresis in Nanometer Inner Diameter Capillaries.

Capillary electrophoresis in 770 nanometer inner diameter capillaries coupled to electrochemical detection with an etched electrode matching an etched capillary (etched electrochemical detection) has been used with ultrasmall sampling to inject subcellular samples from intact single mammalian cells. Separations of cytoplasmic samples taken from rat pheochromocytoma cells have been achieved. As little as 8% of the total volume of a single cell has been sampled and analyzed. Dopamine has been identified and quantified in these PC12 cells using this technique. The average cytoplasmic level of dopamine in rat pheochromocytoma cells has been determined to be 240 ± 60 µM. The use of electrophoresis in 770 nanometer inner diameter capillaries with electrochemical detection to monitor cytoplasmic neurotransmitters at the single cell level can provide information about complex cellular functions such as neurotransmitter storage and synthesis.

Continuous monitoring of enzyme reactions on a microchip: application to catalytic RNA self-cleavage.

Kinetic analysis of RNA enzymes, or ribozymes, typically involves the tedious process of collecting and quenching reaction time points and then fractionating by polyacrylamide gel electrophoresis (PAGE). As a way to automate and simplify this process, continuous analysis of a ribozyme reaction is demonstrated here using completely automated capillary sample introduction onto a microfabricated device with laser-induced fluorescence detection. The method of injection is extremely reproducible thereby standardizing data analysis. A 30-nucleotide ribozyme model, the self-cleaving lead-dependent ribozyme, or "leadzyme", which cleaves into a 24-mer and a 6-mer in the presence of Pb(2+), was end-labeled with fluorescein (FAM) and used to demonstrate the potential of this technique. After manually initiating the cleavage reaction by Pb(2+) addition, reaction samples were automatically injected directly into the parallel separation lanes of the chip via a capillary at predetermined time intervals, thus eliminating the need for additional sample-handling steps. The FAM-labeled leadzyme starting material and products were monitored for 60 min in order to ascertain kinetic information. The effect of lead acetate concentration on cleavage rates was also studied, and the results are in agreement with rates determined by conventional hand-mixing/PAGE analysis. This work demonstrates, through the use of a simple ribozyme model, the potential of this method to provide valuable kinetic information for other, more complex, biologically relevant RNA and protein enzymes.