ReviewPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2016
Quantitative mass spectrometry methods for pharmaceutical analysis.
Review in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
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- Cannabis Use and Self-Reported Bothersome Symptoms in People with HIV.Cannabis (Albuquerque, N.M.) · 2025Article
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- Characterization of Human B Cell Hematological Malignancies Using Protein-Based Approaches.International journal of molecular sciences · 2024Review
- Quantitative mass spectrometry imaging (qMSI): A tutorial.Journal of mass spectrometry : JMS · 2024Article
- Review
- Determination of drugs of abuse and metabolites in plasma microsamples by LC-MS/MS after microQuEChERS extraction.Bioanalysis · 2024Article
- Quality assessment of oral antimalarial and antiretroviral medicines used by public health systems in Sahel countries.PloS one · 2024Article
- Application of multi-omics in the study of traditional Chinese medicine.Frontiers in pharmacology · 2024Review
- Identification for metabolism profiles and pharmacokinetic studies of tradition Chinese prescription Ji-Ming-San and its major metabolites in rats by UHPLC-Q-TOF-MS/MS and UHPLC-MS/MS.Journal of food and drug analysis · 2023Article
- The Quantification of Spike Proteins in the Inactivated SARS-CoV-2 Vaccines of the Prototype, Delta, and Omicron Variants by LC-MS.Vaccines · 2023Article
- Combining proteomic markers to construct a logistic regression model for polycystic ovary syndrome.Frontiers in endocrinology · 2023Article
- Portable mass spectrometry system: instrumentation, applications, and path to 'omics analysis.Proteomics · 2022Review
- A multidimensional metabolomics workflow to image biodistribution and evaluate pharmacodynamics in adult zebrafish.Disease models & mechanisms · 2022Article
- Lysophosphatidylcholine: Potential Target for the Treatment of Chronic Pain.International journal of molecular sciences · 2022Review
- Evaluation of acquisition modes for semi-quantitative analysis by targeted and untargeted mass spectrometry.Rapid communications in mass spectrometry : RCM · 2022Article
- Determination of the pharmaceuticals-nano/microplastics in aquatic systems by analytical and instrumental methods.Environmental monitoring and assessment · 2022Review
- Discovery of Potential Biomarkers for Postmenopausal Osteoporosis Based on Untargeted GC/LC-MS.Frontiers in endocrinology · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative pharmaceutical analysis is nowadays frequently executed using mass spectrometry. Electrospray ionization coupled to a (hybrid) triple quadrupole mass spectrometer is generally used in combination with solid-phase extraction and liquid chromatography. Furthermore, isotopically labelled standards are often used to correct for ion suppression. The challenges in producing sensitive but reliable quantitative data depend on the instrumentation, sample preparation and hyphenated techniques. In this contribution, different approaches to enhance the ionization efficiencies using modified source geometries and improved ion guidance are provided. Furthermore, possibilities to minimize, assess and correct for matrix interferences caused by co-eluting substances are described. With the focus on pharmaceuticals in the environment and bioanalysis, different separation techniques, trends in liquid chromatography and sample preparation methods to minimize matrix effects and increase sensitivity are discussed. Although highly sensitive methods are generally aimed for to provide automated multi-residue analysis, (less sensitive) miniaturized set-ups have a great potential due to their ability for in-field usage.This article is part of the themed issue 'Quantitative mass spectrometry'.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.