Andreas Ipsen
- 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...
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...
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...
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...
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...
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...
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...
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...
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...