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Dive into the research topics where Elias P. Rosen is active.

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Featured researches published by Elias P. Rosen.


Journal of Physical Chemistry A | 2008

Ozonolysis of Oleic Acid Adsorbed to Polar and Nonpolar Aerosol Particles

Elias P. Rosen; Eva R. Garland; Tomas Baer

Single-particle kinetic studies of the reaction between oleic acid and O 3 have been conducted on two different types of core particles: polystyrene latex (PSL) and silica. Oleic acid was found to adsorb to both particle types in multilayer islands that resulted in an adsorbed layer of a total volume estimated to be less than one monolayer. The rate of the surface reaction between surface-adsorbed oleic acid and O 3 has been shown for the first time to be influenced by the composition of the aerosol substrate in a mixed organic/inorganic particle. A Langmuir-Hinshelwood mechanism was applied to the observed dependence of the pseudo-first-order rate constant with [O 3], and the resulting fit parameters for the ozone partition coefficient ( K O 3 ) and maximum first order rate constant ( k 1,max ) suggest that the reaction proceeded faster on the less polar PSL core at lower [O 3] due to the increased residence time of O 3 on the PSL surface, but the reaction was ultimately more efficient on the silica surface at high [O 3]. Values for the uptake coefficient, gamma oleic , for reaction of oleic acid on PSL spheres decrease from 2.5 x 10 (-5) to 1 x 10 (-5) with increasing [O 3] from 4 to 25 ppm and overlap at high [O 3] with the estimated values for gamma oleic on silica, which decrease from 1.6 x 10 (-5) to 1.3 x 10 (-5). The relationship between gamma oleic and the more common expression for gamma O 3 is discussed.


Analytical Chemistry | 2016

Analysis of Antiretrovirals in Single Hair Strands for Evaluation of Drug Adherence with Infrared-Matrix-Assisted Laser Desorption Electrospray Ionization Mass Spectrometry Imaging.

Elias P. Rosen; Corbin G. Thompson; Mark T. Bokhart; Heather M.A. Prince; Craig Sykes; David C. Muddiman; Angela D. M. Kashuba

Adherence to a drug regimen can be a strong predictor of health outcomes, and validated measures of adherence are necessary at all stages of therapy from drug development to prescription. Many of the existing metrics of drug adherence (e.g., self-report, pill counts, blood monitoring) have limitations, and analysis of hair strands has recently emerged as an objective alternative. Traditional methods of hair analysis based on LC-MS/MS (segmenting strands at ≥1 cm length) are not capable of preserving a temporal record of drug intake at higher resolution than approximately 1 month. Here, we evaluated the detectability of HIV antiretrovirals (ARVs) in hair from a range of drug classes using infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) mass spectrometry imaging (MSI) with 100 μm resolution. Infrared laser desorption of hair strands was shown to penetrate into the strand cortex, allowing direct measurement by MSI without analyte extraction. Using optimized desorption conditions, a linear correlation between IR-MALDESI ion abundance and LC-MS/MS response was observed for six common ARVs with estimated limits of detection less than or equal to 1.6 ng/mg hair. The distribution of efavirenz (EFV) was then monitored in a series of hair strands collected from HIV infected, virologically suppressed patients. Because of the role hair melanin plays in accumulation of basic drugs (like most ARVs), an MSI method to quantify the melanin biomarker pyrrole-2,3,5-tricarboxylic acid (PTCA) was evaluated as a means of normalizing drug response between patients to develop broadly applicable adherence criteria.


Environmental Chemistry | 2013

SO2 oxidation and nucleation studies at near-atmospheric conditions in outdoor smog chamber

Yang Zhou; Elias P. Rosen; Haofei Zhang; Weruka Rattanavaraha; Wenxing Wang; Richard M. Kamens

Environmental context Nucleation, a fundamental step in atmospheric new-particle formation, is a significant source of atmospheric aerosols. Most laboratory experiments investigate H2SO4 nucleation based on indoor chambers or flow tube reactors, and find discrepancies with field observations. Here a large outdoor smog chamber is used to study the relationship between SO2 and nucleation rates, and demonstrate the importance of aqueous phase oxidation of SO2 by H2O2 and other oxidants. Abstract Particle formation under different initial ambient background conditions was simulated in a dual outdoor smog chamber for the SO2 and O3–SO2 systems with and without sunlight, as well as a propylene–NOx–SO2–sunlight system. An exponential power of 1.37 between nucleation rates at 1nm (J1) and SO2 gas phase concentrations was obtained for the SO2–sunlight system and a minimum of 0.45ppbSO2 is required by this relationship to initiate nucleation (J1 is equal to 1cm–3s–1). An investigation of the O3–SO2–sunlight/dark system showed that the presence of O3 contributed to the particle nucleation and growth at night; however, it only enhanced the particle growth in the daytime when H2SO4 photochemistry was present. In the presence of an OH• scavenger, the O3–SO2 system did not show particle nucleation, suggesting that the scavenger cut off this pathway of SO2 oxidation. A lower nucleation rate and higher particle grow rate were also observed for SO2 oxidation in the presence of propylene and NOx. However a higher SO2 decay rate was obtained for the propylene system especially under high relative humidity, which was not observed in the O3–SO2 system. This suggests that aqueous phase oxidation of SO2 from H2O2, RO2• and other oxidants produced in the propylene–NOx system contribute to the particle growth.


Analytical Chemistry | 2015

Influence of C-Trap Ion Accumulation Time on the Detectability of Analytes in IR-MALDESI MSI.

Elias P. Rosen; Mark T. Bokhart; Milad Nazari; David C. Muddiman

Laser desorption followed by post electrospray ionization requires synchronized timing of the key events (sample desorption/ionization, mass spectrometry analysis, and sample translation) necessary to conduct mass spectrometry imaging (MSI) with adequate analyte sensitivity. In infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) MSI analyses, two laser pulses are used for analysis at each volumetric element, or voxel, of a biological sample and ion accumulation in the C-trap exceeding 100 ms is necessary to capture all sample-associated ions using an infrared laser with a 20 Hz repetition rate. When coupled to an Orbitrap-based mass spectrometer like the Q Exactive Plus, this time window for ion accumulation exceeds dynamically controlled trapping of samples with comparable ion flux by Automatic Gain Control (AGC), which cannot be used during MSI analysis. In this work, a next-generation IR-MALDESI source has been designed and constructed that incorporates a mid-infrared OPO laser capable of operating at 100 Hz and allows requisite C-trap inject time during MSI to be reduced to 30 ms. Analyte detectability of the next-generation IR-MALDESI integrated source has been evaluated as a function of laser repetition rate (100-20 Hz) with corresponding C-trap ion accumulation times (30-110 ms) in both untargeted and targeted analysis of biological samples. Reducing the C-trap ion accumulation time resulted in increased ion abundance by up to 3 orders of magnitude for analytes ranging from xenobiotics to endogenous lipids, and facilitated the reduction of voxel-to-voxel variability by more than 3-fold.


Xenobiotica | 2018

Antiretroviral Concentrations and Surrogate Measures of Efficacy in the Brain Tissue and CSF of Preclinical Species

Nithya Srinivas; Elias P. Rosen; William M. Gilliland; Martina Kovarova; Leila Remling-Mulder; Gabriela De La Cruz; Nicole White; Lourdes Adamson; Amanda Schauer; Craig Sykes; Paul A. Luciw; J. Victor Garcia; Ramesh Akkina; Angela D. M. Kashuba

Abstract 1. Antiretroviral concentrations in cerebrospinal fluid (CSF) are used as surrogate for brain tissue, although sparse data support this. We quantified antiretrovirals in brain tissue across preclinical models, compared them to CSF, and calculated 90% inhibitory quotients (IQ90) for nonhuman primate (NHP) brain tissue. Spatial distribution of efavirenz was performed by mass-spectrometry imaging (MSI). 2. HIV or RT-SHIV-infected and uninfected animals from two humanized mouse models (hemopoietic-stem cell/RAG2-, n = 36; bone marrow-liver-thymus/BLT, n =13) and an NHP model (rhesus macaque, n =18) were dosed with six antiretrovirals. Brain tissue, CSF (NHPs), and plasma were collected at necropsy. Drug concentrations were measured by LC-MS/MS. Rapid equilibrium dialysis determined protein binding in NHP brain. 3. Brain tissue penetration of most antiretrovirals were >10-fold lower (p < 0.02) in humanized mice than NHPs. NHP CSF concentrations were >13-fold lower (p <0.02) than brain tissue with poor agreement except for efavirenz (r = 0.91, p = 0.001). Despite 97% brain tissue protein binding, efavirenz achieved IQ90>1 in all animals and 2-fold greater white versus gray matter concentration. 4. Brain tissue penetration varied across animal models for all antiretrovirals except raltegravir, and extrapolating brain tissue concentrations between models should be avoided. With the exception of efavirenz, CSF is not a surrogate for brain tissue concentrations.


Journal of the American Society for Mass Spectrometry | 2018

Evaluation of Digital Image Recognition Methods for Mass Spectrometry Imaging Data Analysis

Måns Ekelöf; Kenneth P. Garrard; Rika Judd; Elias P. Rosen; De-Yu Xie; Angela D. M. Kashuba; David C. Muddiman

AbstractAnalyzing mass spectrometry imaging data can be laborious and time consuming, and as the size and complexity of datasets grow, so does the need for robust automated processing methods. We here present a method for comprehensive, semi-targeted discovery of molecular distributions of interest from mass spectrometry imaging data, using widely available image similarity scoring algorithms to rank images by spatial correlation. A fast and powerful batch search method using a MATLAB implementation of structural similarity (SSIM) index scoring with a pre-selected reference distribution is demonstrated for two sample imaging datasets, a plant metabolite study using Artemisia annua leaf, and a drug distribution study using maraviroc-dosed macaque tissue. Graphical Abstractᅟ


Atmospheric Environment | 2011

Secondary organic aerosol formation from xylenes and mixtures of toluene and xylenes in an atmospheric urban hydrocarbon mixture: Water and particle seed effects (II)

Yang Zhou; Haofei Zhang; Harshal M. Parikh; Eric H. Chen; Weruka Rattanavaraha; Elias P. Rosen; Wenxing Wang; Richard M. Kamens


Atmospheric Environment | 2011

Secondary organic aerosol formation from toluene in an atmospheric hydrocarbon mixture: Water and particle seed effects

Richard M. Kamens; Haofei Zhang; Eric H. Chen; Yang Zhou; Harshal M. Parikh; Rebecca L. Wilson; Katherine E. Galloway; Elias P. Rosen


Physical Chemistry Chemical Physics | 2008

Structure of submonolayer oleic acid coverages on inorganic aerosol particles: evidence of island formation.

Eva R. Garland; Elias P. Rosen; Laura Clarke; Tomas Baer


Atmospheric Environment | 2011

A new gas-phase condensed mechanism of isoprene-NOx photooxidation

Haofei Zhang; Weruka Rattanavaraha; Yang Zhou; Jyoti Bapat; Elias P. Rosen; Kenneth G. Sexton; Richard M. Kamens

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Angela D. M. Kashuba

University of North Carolina at Chapel Hill

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Richard M. Kamens

University of North Carolina at Chapel Hill

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Haofei Zhang

University of North Carolina at Chapel Hill

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Tomas Baer

University of North Carolina at Chapel Hill

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Craig Sykes

University of North Carolina at Chapel Hill

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David C. Muddiman

North Carolina State University

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Eva R. Garland

University of North Carolina at Chapel Hill

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Weruka Rattanavaraha

University of North Carolina at Chapel Hill

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