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Analysis of Drugs of Abuse

Overview of attention for book
Cover of 'Analysis of Drugs of Abuse'

Table of Contents

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    Book Overview
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    Chapter 1 Color Tests for the Preliminary Identification of New Psychoactive Substances
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    Chapter 2 Illicit and Counterfeit Drug Analysis by Morphologically Directed Raman Spectroscopy
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    Chapter 3 Analysis of Drugs of Abuse by Gas Chromatography–Mass Spectrometry (GC-MS)
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    Chapter 4 Toward Confirmatory On-Site Real-Time Detection of Emerging Drugs Using Portable Ultrafast Capillary Electrophoresis Mass Spectrometry
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    Chapter 5 Use of DART-TOF-MS for Screening Drugs of Abuse
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    Chapter 6 Confirmation of Pharmaceutical Identifiers via DART-TOF-MS
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    Chapter 7 UPLC-Orbitrap® Screening for over 35 Drugs of Abuse and Metabolites in Biological Fluids in Under 10 min
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    Chapter 8 Sensitivity Enhancement in Capillary Electrophoresis Using Magnetic Particles as Solid-Phase Extraction Sorbents for the Determination of Drugs of Abuse in Urine
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    Chapter 9 High-Throughput Extraction and Detection of Drugs in Urine: Parallel Sampling with Solid-Phase Microextraction (SPME) Fibers Coupled with Direct Analysis in Real Time-Mass Spectrometry (DART-MS) Detection
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    Chapter 10 Analysis of Drugs of Abuse in Hair Samples by Ultrahigh-Performance Liquid Chromatography–Tandem Mass Spectrometry (UHPLC-MS/MS)
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    Chapter 11 Comprehensive Drug Screening by Thermal Desorption and Pyrolysis Combined with Direct Analysis in Real Time-Mass Spectrometry (TDP/DART-MS)
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    Chapter 12 Detection of Diagnostic Plant-Derived Psychoactive Biomarkers in Fingerprints by MALDI-SpiralTOF-Mass Spectrometry Imaging
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    Chapter 13 Matrix-Assisted Laser Desorption Ionization Imaging Mass Spectrometry of Drug Distribution in Mouse Brain Tissue by High-Resolution Time-of-Flight Mass Spectrometry
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    Chapter 14 Estimation of Community Usage of Drugs Utilizing Sewage Epidemiology
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    Chapter 15 LC-MS-MS Method Development and Analysis of Stimulants, Opiates, Synthetic Opiates, PCP, and Benzodiazepines in Wastewater. Preponderance of these Drugs During Football Games
  17. Altmetric Badge
    Chapter 16 Analysis of Illicit Drugs in Wastewater Using High-Performance Liquid Chromatography-Electrospray Ionization-Tandem Mass Spectrometry (HPLC-ESI-MS/MS)
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    Chapter 17 Analysis of Trace Drugs of Abuse by Direct Analysis in Real Time (DART) Mass Spectrometry
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    Chapter 18 A Rapid, High-Throughput Validated Method for the Quantification of Atropine in Datura stramonium Seeds Using Direct Analysis in Real Time-High Resolution Mass Spectrometry (DART-HRMS)
  20. Altmetric Badge
    Chapter 19 Utilizing Direct Analysis in Real Time-High Resolution Mass Spectrometry-Derived Dark Matter Spectra to Classify and Identify Unknown Synthetic Cathinones
Attention for Chapter 3: Analysis of Drugs of Abuse by Gas Chromatography–Mass Spectrometry (GC-MS)
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Chapter title
Analysis of Drugs of Abuse by Gas Chromatography–Mass Spectrometry (GC-MS)
Chapter number 3
Book title
Analysis of Drugs of Abuse
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8579-1_3
Pubmed ID
Book ISBNs
978-1-4939-8578-4, 978-1-4939-8579-1
Authors

Thomas A. Brettell, Benny J. Lum, Brettell, Thomas A., Lum, Benny J.

Abstract

Analysis of drugs of abuse constitutes a major portion of work for many crime laboratories. The most important and most utilized technique for the screening and identification of solid-dosage drugs is gas chromatography-mass spectrometry (GC-MS). A detailed practical procedure is described for the rapid screening and identification by GC-MS of most drugs of abuse that are commonly encountered in forensic drug laboratories.

X Demographics

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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 26%
Student > Master 4 8%
Student > Ph. D. Student 3 6%
Researcher 2 4%
Student > Doctoral Student 2 4%
Other 4 8%
Unknown 22 44%
Readers by discipline Count As %
Chemistry 10 20%
Biochemistry, Genetics and Molecular Biology 3 6%
Arts and Humanities 1 2%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Other 6 12%
Unknown 28 56%
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 12 July 2023.
All research outputs
#16,330,881
of 24,063,285 outputs
Outputs from Methods in molecular biology
#5,668
of 13,574 outputs
Outputs of similar age
#277,402
of 449,687 outputs
Outputs of similar age from Methods in molecular biology
#589
of 1,479 outputs
Altmetric has tracked 24,063,285 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,574 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 449,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,479 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.