Jason R. E. Shepard
State University of New York System
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Publication
Featured researches published by Jason R. E. Shepard.
International Journal of Molecular Sciences | 2009
Maureen A. Walling; Jennifer A Novak; Jason R. E. Shepard
In the past few decades, technology has made immeasurable strides to enable visualization, identification, and quantitation in biological systems. Many of these technological advancements are occurring on the nanometer scale, where multiple scientific disciplines are combining to create new materials with enhanced properties. The integration of inorganic synthetic methods with a size reduction to the nano-scale has lead to the creation of a new class of optical reporters, called quantum dots. These semiconductor quantum dot nanocrystals have emerged as an alternative to organic dyes and fluorescent proteins, and are brighter and more stable against photobleaching than standard fluorescent indicators. Quantum dots have tunable optical properties that have proved useful in a wide range of applications from multiplexed analysis such as DNA detection and cell sorting and tracking, to most recently demonstrating promise for in vivo imaging and diagnostics. This review provides an in-depth discussion of past, present, and future trends in quantum dot use with an emphasis on in vivo imaging and its related applications.
Journal of the American Society for Mass Spectrometry | 2015
Joseph LaPointe; Brian Musselman; Teresa O’Neill; Jason R. E. Shepard
AbstractA rapid and sensitive method, direct analysis in real time mass spectrometry (DART-MS) was applied to the characterization and semiquantitative analysis of synthetic cathinones and their metabolites in urine. DART-MS was capable of detecting three different cathinones and three metabolites down to sub-clinical levels directly without any sample preparations. The process produced a spectrum within seconds because no extraction or derivatization was required for analysis and the high mass accuracy of the instrumentation allowed analysis without the need for lengthy chromatographic separations. The use of solid phase microextration demonstrated a relative increase in the detectability of both drugs and metabolites, improving the detection signal on average more than an order of magnitude over direct detection, while providing cleaner spectra devoid of the major peaks associated with urine that oftentimes dominate such samples. Graphical Abstractᅟ
Forensic Science International | 2014
Rabi A. Musah; Robert B. Cody; Marek A. Domin; Ashton D. Lesiak; A. John Dane; Jason R. E. Shepard
The influx of new psychoactive substances is a problem that is challenging the analytical capabilities of enforcement agencies. Cathinone designer drugs are less likely to be included in routine drug screens and typical drug formulations are commonly mixtures with continually shifting components. Ambient ionization mass spectrometry employs relatively mild conditions to desorb and ionize solid samples, imparting much less energy than that associated with conventional mass spectrometry methods. Direct analysis in real time mass spectrometry (DART-MS) is an ambient ionization method that was employed to rapidly screen cathinones, alone and in mixtures, readily enabling differentiation of the active drug(s) from various cutting agents. Accurate mass determinations provided preliminary identification of the various components of drug mixtures. The data generated in forensic mass spectrometry can be used for both elemental composition formulations and isotope abundance calculations for determination of unknown psychoactive substances, and we demonstrate how this data could be applied to the presence of new drugs as the active components shift in response to regulations. Isotope abundance calculations were used to develop a candidate pool of possible molecular formulas associated with cathinones as a specific class of designer drugs. Together, the combination of a time-of-flight (TOF) mass analyzer along with in-source collision-induced dissociation (CID) spectra were used to drastically narrow the pool of candidates to a single molecular formula. The [M+H](+) and product ion peaks provided data for presumptive analysis of various substituted synthetic cathinones in a manner that is complementary to conventional GC-MS analysis of new psychoactive substances.
Drug Testing and Analysis | 2014
Ashton D. Lesiak; Kendra J. Adams; Marek A. Domin; Colin Henck; Jason R. E. Shepard
Dimethylamylamine (DMAA) is a sympathomimetic amine found in weight-loss/workout supplements or used as an appetite suppressant. DMAA is a stimulant that is banned by the World Anti-Doping Agency (WADA). Adverse health effects as well as fatalities have been implicated with its use. Direct analysis in real time mass spectrometry (DART-MS) is an ambient ionization method that was employed to rapidly identify the presence of DMAA in various samples without any extraction or preparations whatsoever. DMAA was first identified in supplements, sampled directly in their solid forms. Furthermore, DMAA was detected directly in urine over 48 h as a means of indicating recent abuse of the substance. DART-MS analysis is instantaneous, and coupled with the high mass accuracy associated with the time-of-flight mass analyzer, results in unequivocal identification of the presence of DMAA. These features demonstrate DART-MS as an attractive potential alternative screening method for the presence of drugs and medications or for toxicological investigations.
Bioanalysis | 2014
Ashton D. Lesiak; Jason R. E. Shepard
Mass spectrometry methods play a major role in many forensic applications. While gas chromatography-mass spectrometry methods are commonly used in crime laboratories and enforcement agencies, a variety of advanced techniques are now available that can improve upon standard methods and address emerging issues in forensic science. New mass spectrometry technologies include more versatile ionization sources, allowing the next generation of instrumentation to be more multipurpose and adaptable to the needs of the discipline. Direct analysis in real-time mass spectrometry is an ambient ionization method that allows direct testing of gas, liquid and solid samples without the need for any preparation or extraction, based on thermal desorption and ionization directly from the sample surface. This Review will provide an in-depth description of direct analysis in real-time time-of-flight mass spectrometry as applied to samples relevant to forensic science, with a focus on analysis and characterization related to forensic drug chemistry.
Nucleic Acids Research | 2010
Shengchun Wang; Jason R. E. Shepard; Hua Shi
According to the recruitment model of transcriptional activation, an activator helps initiate transcription by bringing the RNA polymerase to a specific location on the DNA through interaction with components of the transcriptional machinery. However, it is difficult to isolate and define the activities of specific activator–target pairs experimentally through rearranging existing protein parts. Here we designed and constructed an RNA-based transcriptional activator to study specificity from both sides of the activator–target interface. Utilizing a well-characterized site-specific RNA aptamer for TFIIB, we were able to delineate some key features of this process. By rationally converting an inhibitory aptamer into the activation domain of the activator, we also introduced a new source of submolecular building blocks to synthetic biology.
Talanta | 2018
Kristen L. Fowble; Jason R. E. Shepard; Rabi A. Musah
An approach to the rapid determination of the structures of novel synthetic cathinone designer drugs, also known as bath salts, is reported. While cathinones fragment so extensively by electron impact mass spectrometry that their mass spectra often cannot be used to identify the structure, collision-induced dissociation (CID) direct analysis in real time-high resolution mass spectrometry (DART-HRMS) experiments furnished spectra that provided diagnostic fragmentation patterns for the analyzed cathinones. From this data, neutral loss spectra, which reflect the presence of specific chemical moieties, could be acquired. These spectra showed striking similarities between cathinones sharing structural features such as pyrrolidine rings and methylenedioxy moieties. Principle component analysis (PCA) of the neutral loss spectra of nine synthetic cathinones of various types including ethcathinones, those containing a methylenedioxy moiety appended to the benzene ring, and pyrrolidine-containing structures, illustrated that cathinones falling within the same class clustered together and could be distinguished from those of other classes. Furthermore, hierarchical clustering analysis of the neutral loss data of a model set derived from 44 synthetic cathinones, furnished a dendrogram in which structurally similar cathinones clustered together. The ability of this model system to facilitate structure determination was tested using 4-fluoroethcathinone, 3,4-methylenedioxy-α-pyrrolidinohexanophenone (MDPHP), and ethylone, which fall into the ethcathinone, pyrrolidine-containing, and methylenedioxy-containing subclasses respectively. The results showed that their neutral loss spectra correctly fell within the ethcathinone, pyrrolidine-containing and methylenedioxy-containing cathinone clades of the dendrogram, and that the neutral loss information could be used to infer the structures of these compounds. The analysis and data processing steps are rapid and samples can be analyzed in their native form without any sample processing steps. The robustness of the dendrogram dataset can be readily increased by continued addition of newly discovered structures. The approach can be broadly applied to structure determination of unknowns, and would be particularly useful for analyses where sample amounts are limited.
Rapid Communications in Mass Spectrometry | 2012
Rabi A. Musah; Marek A. Domin; Maureen A. Walling; Jason R. E. Shepard
Rapid Communications in Mass Spectrometry | 2012
Rabi A. Musah; Marek A. Domin; Robert B. Cody; Ashton D. Lesiak; A. John Dane; Jason R. E. Shepard
Analyst | 2013
Ashton D. Lesiak; Rabi A. Musah; Robert B. Cody; Marek A. Domin; A. John Dane; Jason R. E. Shepard