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LC-MS in Drug Analysis

Overview of attention for book
Cover of 'LC-MS in Drug Analysis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 An Introduction to Drug Testing: The Expanding Role of Mass Spectrometry
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    Chapter 2 LC-MS vs. GC-MS, Online Extraction Systems, Advantages of Technology for Drug Screening Assays.
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    Chapter 3 LC-MS/MS Techniques for High-Volume Screening of Drugs of Abuse and Target Drug Quantitation in Urine/Blood Matrices
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    Chapter 4 Benzodiazepines and Metabolites from Biological Fluids by Liquid Chromatography Electrospray Tandem Mass Spectrometry
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    Chapter 5 Opiate Screening and Quantitation in Urine/Blood Matrices Using LC-MS/MS Techniques
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    Chapter 6 Synthetic Opioid Analysis by LC-MS/MS
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    Chapter 7 The Determination of Cannabinoids Using Liquid Chromatography with Mass Spectrometric Detection
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    Chapter 8 Cocaine and Metabolites by LC-MS/MS
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    Chapter 9 Quantitation of Amphetamine-Type Stimulants by LC-MS/MS
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    Chapter 10 Detection of Prohibited Substances by Liquid Chromatography Tandem Mass Spectrometry for Sports Doping Control
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    Chapter 11 LC-MS/MS Screen for Xenobiotics and Metabolites
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    Chapter 12 Qualitative Identification of Rodenticide Anticoagulants by LC-MS/MS
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    Chapter 13 Hypoglycemic Agent Screening by LC-MS/MS
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    Chapter 14 LC-MS/MS Method for the Detection of Common Laxatives
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    Chapter 15 Simultaneous determination of cyclosporine, sirolimus, and tacrolimus in whole blood using liquid chromatography-tandem mass spectrometry.
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    Chapter 16 Quantification of Tricyclic Antidepressants Using UPLC-MS/MS.
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    Chapter 17 Quantitation of First- and Second-Generation Antipsychotics by LC-MS/MS
  19. Altmetric Badge
    Chapter 18 Analysis of Selected Anticonvulsants by High Performance Liquid Chromatography-Tandem Mass Spectrometry
  20. Altmetric Badge
    Chapter 19 Therapeutic Drug Monitoring of Tamoxifen Using LC-MS/MS.
Attention for Chapter 2: LC-MS vs. GC-MS, Online Extraction Systems, Advantages of Technology for Drug Screening Assays.
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Chapter title
LC-MS vs. GC-MS, Online Extraction Systems, Advantages of Technology for Drug Screening Assays.
Chapter number 2
Book title
LC-MS in Drug Analysis
Published in
Methods in molecular biology, July 2012
DOI 10.1007/978-1-61779-934-1_2
Pubmed ID
Book ISBNs
978-1-61779-933-4, 978-1-61779-934-1
Authors

Marquet P, Pierre Marquet, Marquet, Pierre

Abstract

This chapter reviews recent applications of mass spectrometry to systematic toxicological analysis (STA), where extended lists of compounds of toxicological interest are screened, as well as to the general unknown screening (GUS), where all exogenous compounds present in a sample are tentatively detected and identified, without any preselection. Many recent improvements in sample preparation, chromatographic separation, gas chromatography-mass spectrometry, and above all liquid chromatography-mass spectrometry techniques are described, which are applicable or have been applied to STA and/or GUS, generally with promising results. These improvements come from miniaturization and automation of solid-phase extraction, turbulent-flow or ultrahigh-pressure liquid chromatography, linear ion traps, accurate (e.g., time of flight or orbital trap) mass spectrometry, as well as software refinements to alternate between different ionization modes or automatically interpret the results. It also shows that robust LC-MS/MS techniques already exist for STA or GUS, which are at least as efficient as the traditional techniques used in most toxicology laboratories, such as GC-MS or high-performance liquid chromatography with diode-array detection, as shown by three comparative studies. However, the major drawback of LC-MS/MS in the full-scan mode for STA or GUS is that it still lacks universal reference libraries due to insufficient reproducibility of LC-MS(/MS) mass spectra obtained with different instrument types.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Student > Bachelor 7 19%
Researcher 7 19%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 1 3%
Other 4 11%
Unknown 7 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 19%
Biochemistry, Genetics and Molecular Biology 5 14%
Pharmacology, Toxicology and Pharmaceutical Science 4 11%
Chemistry 4 11%
Medicine and Dentistry 3 8%
Other 3 8%
Unknown 11 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 December 2012.
All research outputs
#17,673,866
of 22,689,790 outputs
Outputs from Methods in molecular biology
#7,151
of 13,045 outputs
Outputs of similar age
#122,349
of 164,730 outputs
Outputs of similar age from Methods in molecular biology
#34
of 63 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,045 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.