Andreas Ipsen

ORCID: 0000-0002-2566-8811
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Methane Hydrates and Related Phenomena
  • Seismic Waves and Analysis
  • Geophysics and Gravity Measurements
  • Ionosphere and magnetosphere dynamics
  • Earthquake Detection and Analysis
  • Seismology and Earthquake Studies
  • Astrophysics and Cosmic Phenomena
  • Superconducting Materials and Applications
  • Solar and Space Plasma Dynamics
  • Mass Spectrometry Techniques and Applications
  • Analytical Chemistry and Chromatography
  • Metabolomics and Mass Spectrometry Studies
  • Pesticide Residue Analysis and Safety
  • Spectroscopy and Chemometric Analyses
  • Advanced Chemical Sensor Technologies
  • Atomic and Molecular Physics
  • Markov Chains and Monte Carlo Methods
  • Ion-surface interactions and analysis
  • Isotope Analysis in Ecology
  • Scientific Research and Discoveries
  • Advanced Database Systems and Queries
  • Bayesian Methods and Mixture Models

Swansea University
2014-2023

Pacific Northwest National Laboratory
2015-2017

Environmental Molecular Sciences Laboratory
2015

Richland College
2015

Imperial College London
2008-2012

Approximate Bayesian computation (ABC) methods can be used to evaluate posterior distributions without having calculate likelihoods. In this paper, we discuss and apply an ABC method based on sequential Monte Carlo (SMC) estimate parameters of dynamical models. We show that SMC provides information about the inferability model sensitivity changes in parameters, tends perform better than other approaches. The algorithm is applied several well-known biological systems, for which their credible...

10.1098/rsif.2008.0172 article EN Journal of The Royal Society Interface 2008-07-09

The process of redirecting ions through 90° turns and 'tee' switches utilizing Structures for Lossless Ion Manipulations (SLIM) was evaluated at 4 Torr pressure using SIMION simulations theoretical methods. nature pseudo-potential in SLIM-tee structures has also been explored. Simulations show that 100% transmission efficiency SLIM devices can be achieved with guard electrode voltages lower than ∼10 V. ion plume width these conditions is ∼1.6 mm while lead to greater widths. Theoretical...

10.1039/c5an00844a article EN The Analyst 2015-01-01

Untargeted global metabolic profiling by liquid chromato-graphy−mass spectrometry generates numerous signals that are due to unknown compounds and whose identification forms an important challenge. The analysis of metabolite fragmentation patterns, following collision-induced dissociation, provides a valuable tool for identification, but can be severely impeded close chromatographic coelution distinct metabolites. We propose new algorithm identifying related parent−fragment pairs...

10.1021/ac902361f article EN publisher-specific-oa Analytical Chemistry 2010-02-09

The isotope patterns of unknown analytes provide information that can be great value in their identification as part a mass spectrometry experiment. Determining the range compounds are consistent with an empirically observed pattern requires, initial step, calculation theoretical all feasible candidate formulas, and this is not trivial mathematical task. While algorithms based on Fourier transform have been used for almost two decades to perform such efficiently, they hitherto able exact...

10.1021/ac500108n article EN cc-by Analytical Chemistry 2014-05-19

The mass peak centroid is a quantity that at the core of spectrometry (MS). However, despite its central status in field, models statistical distribution are often chosen quite arbitrarily and without attempts establishing proper theoretical justification for their use. Recent work has demonstrated spectrometers employing analog-to-digital converters (ADCs) electron multipliers, intensity can be described via relatively simple model derived essentially from first principles. Building on this...

10.1021/acs.analchem.6b02446 article EN cc-by Analytical Chemistry 2017-02-03

It has long been recognized that estimates of isotopic abundance patterns may be instrumental in identifying the many unknown compounds encountered when conducting untargeted metabolic profiling using liquid chromatography/mass spectrometry. While numerous methods have developed for assigning heuristic scores to rank degree fit observed with theoretical ones, little work done quantify errors are associated measurements made. Thus, it is generally not possible determine, a statistically...

10.1021/ac101278x article EN publisher-specific-oa Analytical Chemistry 2010-08-06

The critical importance of employing sound statistical arguments when seeking to draw inferences from inexact measurements is well-established throughout the sciences. Yet fundamental methods such as hypothesis testing can currently be applied only a small subset data analytical problems encountered in LC/MS experiments. means inference that are more generally employed based on variety heuristic techniques and largely qualitative understanding their behavior. In this article, we attempt move...

10.1007/s13361-012-0340-z article EN cc-by Journal of the American Society for Mass Spectrometry 2012-02-28

Despite the widespread use of mass spectrometry (MS) in a broad range disciplines, nature MS data remains very poorly understood, and this places important constraints on quality analysis as well effectiveness instrument design. In following, procedure for calculating statistical distribution peak intensity instruments that analog-to-digital converters (ADCs) electron multipliers is presented. It demonstrated physical processes underlying data-generation process, from generation ions to...

10.1021/ac503554u article EN cc-by Analytical Chemistry 2015-01-24

In a recent article, we derived probability distribution that was shown to closely approximate of the data produced by liquid chromatography time-of-flight mass spectrometry (LC/TOFMS) instruments employing time-to-digital converters (TDCs) as part their detection system. The approach formulating detailed and highly accurate mathematical models LC/MS via distributions are parameterized quantities analytical interest does not appear have been fully explored before. However, believe it could...

10.1007/s13361-014-0961-5 article EN cc-by Journal of the American Society for Mass Spectrometry 2014-07-21

10.25582/data.2023-02.2749290/2385542 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-21

10.25582/data.2023-02.2746647/2385543 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-19

10.25582/data.2023-02.2747240/2385547 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-20

10.25582/data.2023-02.2746923/2385544 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-19

10.25582/data.2023-02.2744251/2385540 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-17

10.25582/data.2023-02.2745135/2385537 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-18

10.25582/data.2023-02.2746092/2385535 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-18

10.25582/data.2023-02.2748700/2385534 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-20

10.25582/data.2023-02.2747635/2385536 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-20

10.25582/data.2023-02.2748361/2385538 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-20

10.25582/data.2023-02.2744669/2385530 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-18

10.25582/data.2023-02.2745546/2385531 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-18

10.25582/data.2023-02.2749810/2385532 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-21

10.25582/data.2023-02.2749020/2385528 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-02-21

10.25582/data.2023-07.2850392/2404794 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-07-19

10.25582/data.2023-07.2850457/2404817 article EN OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-07-19
Coming Soon ...