Literature DB >> 33736803

Determination of drugs and drug metabolites by ion mobility-mass spectrometry: A review.

Dylan H Ross1, Libin Xu2.   

Abstract

Ion mobility-mass spectrometry (IM-MS) has gained increased applications in the characterization and identification of drugs and drug metabolites, largely owning to the complementary separation of analyte ions based on their gas-phase size and shape in the IM dimension in addition to their mass-to-charge ratios. In this review, we discuss recent advances in such applications. We first introduce various types of IM techniques, focusing on those that allow the measurement of collision cross section (CCS), the physical property of an ion that reflects its gas-phase size and shape. Next, we discuss the IM-MS landscape of the large chemical space of drugs and multimodal distributions of certain drugs in IM separation due to the presence of protomers. We then review drug metabolism reactions and discuss the application of IM-MS in separation and identification of isomeric drug metabolites. Subsequently, we discuss various approaches to generate theoretical and predicted CCS data, including theory-based calculation methods and data-driven prediction models, and currently available resources on these approaches. Finally, current limitations and future directions of application of IM-MS are discussed.
Copyright © 2021 Elsevier B.V. All rights reserved.

Keywords:  Collision cross section; Computation; Drug; Drug metabolite; Ion mobility-mass spectrometry; Machine learning; Separation

Mesh:

Substances:

Year:  2021        PMID: 33736803     DOI: 10.1016/j.aca.2021.338270

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  5 in total

1.  High-Throughput Measurement and Machine Learning-Based Prediction of Collision Cross Sections for Drugs and Drug Metabolites.

Authors:  Dylan H Ross; Ryan P Seguin; Allison M Krinsky; Libin Xu
Journal:  J Am Soc Mass Spectrom       Date:  2022-05-11       Impact factor: 3.262

2.  A Rapid and Sensitive Method for the Simultaneous Determination of Multipolar Compounds in Plant Tea by Supercritical Fluid Chromatography Coupled to Ion Mobility Quadrupole Time-of-Flight Mass Spectrometry.

Authors:  Zi-Xuan Yue; Jun Cao
Journal:  Foods       Date:  2022-01-01

3.  Collision Cross Section Prediction with Molecular Fingerprint Using Machine Learning.

Authors:  Fan Yang; Denice van Herwerden; Hugues Preud'homme; Saer Samanipour
Journal:  Molecules       Date:  2022-09-29       Impact factor: 4.927

4.  Quantification of SARS-CoV-2 spike and nucleocapsid proteins using isotope dilution tandem mass spectrometry.

Authors:  Carrie Pierce-Ruiz; Wanda I Santana; William J H Sutton; David A Fischler; Hans C Cooper; Lidoshka R Marc; John R Barr; Tracie L Williams
Journal:  Vaccine       Date:  2021-07-24       Impact factor: 3.641

5.  Large-Scale Evaluation of Collision Cross Sections to Investigate Blood-Brain Barrier Permeation of Drugs.

Authors:  Armin Sebastian Guntner; Thomas Bögl; Franz Mlynek; Wolfgang Buchberger
Journal:  Pharmaceutics       Date:  2021-12-13       Impact factor: 6.321

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.