Literature DB >> 26427020

The relationship between chemical concentration and odor activity value explains the inconsistency in making a comprehensive surrogate scent training tool representative of illicit drugs.

Somchai Rice1, Jacek A Koziel2.   

Abstract

This report highlights the importance of an individual chemical's odor impact in the olfactory identification of marijuana, cocaine, and heroin. There are small amounts of highly odorous compounds present in headspace of these drugs, with very low odor detection thresholds, that are more likely responsible for contributing to the overall odor of these drugs. Previous reports of the most abundant compounds in headspace can mislead researchers when dealing with whole odor of these drugs. Surrogate scent formulations, therefore, must match the odor impact of key compounds and not just the chemical abundance of compounds. The objective of this study was to compare odorous volatile organic compounds (VOCs) emitted from illicit drug samples of marijuana, cocaine, and heroin to surrogate smell formulations using simultaneous sensory (via human olfaction) and chemical analyses. Use of solid phase microextraction (SPME) allowed VOCs in drug headspace to be extracted and pre-concentrated on site, and analyzed by multidimensional gas chromatography-mass spectrometry-olfactometry (MDGC-MS-O). Use of MDGC-MS-O allowed for further separation of odorous compounds and simultaneous detection by the human nose of the separate odor parts that make up the total aroma of these drugs. The compounds most abundant in headspace were not the most odor impactful when ranked by odor activity values (OAVs) (defined as ratio of concentration to odor detection threshold, ODT). There were no apparent correlations between concentrations and OAVs. A 1g marijuana surrogate lacked in odor active acids, aldehydes, ethers, hydrocarbons, N-containing, and S-containing VOCs and was overabundant in odor active alcohols and aromatics compared with real marijuana. A 1g cocaine surrogate was overabundant in odor active alcohols, aldehydes, aromatics, esters, ethers, halogenates, hydrocarbons, ketones and N-containing compounds compared with real. A 1g heroin surrogate should contain less odor active acids, alcohols, aromatics, esters, ketones, and N-containing compounds. Drug quantity, age and adulterants can affect VOC emissions and their odor impact. The concept of odor activity value, then, is useful to researchers without access to more sophisticated instrumentation. Odor activity values can be calculated from published odor detection thresholds. More research is warranted to expand the database, and determine odor detection thresholds for compounds of interest. Additional information could be obtained from establishing ODTs of key odorants for canines.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cocaine; Heroin; Marijuana; Olfactometry; SPME-GC–MS; Surrogate

Mesh:

Substances:

Year:  2015        PMID: 26427020     DOI: 10.1016/j.forsciint.2015.08.027

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  10 in total

Review 1.  What smells? Gauging attention to olfaction in canine cognition research.

Authors:  Alexandra Horowitz; Becca Franks
Journal:  Anim Cogn       Date:  2019-10-12       Impact factor: 2.899

2.  Characterizing the Smell of Marijuana by Odor Impact of Volatile Compounds: An Application of Simultaneous Chemical and Sensory Analysis.

Authors:  Somchai Rice; Jacek A Koziel
Journal:  PLoS One       Date:  2015-12-10       Impact factor: 3.240

3.  Characterizing the scent and chemical composition of Panthera leo marking fluid using solid-phase microextraction and multidimensional gas chromatography-mass spectrometry-olfactometry.

Authors:  Simone B Soso; Jacek A Koziel
Journal:  Sci Rep       Date:  2017-07-11       Impact factor: 4.379

4.  Processes to Preserve Spice and Herb Quality and Sensory Integrity During Pathogen Inactivation.

Authors:  Susan E Duncan; Kayla Moberg; Kemia N Amin; Melissa Wright; Jordan J Newkirk; Monica A Ponder; Gary R Acuff; James S Dickson
Journal:  J Food Sci       Date:  2017-04-13       Impact factor: 3.167

Review 5.  A Review of the Types of Training Aids Used for Canine Detection Training.

Authors:  Alison Simon; Lucia Lazarowski; Melissa Singletary; Jason Barrow; Kelly Van Arsdale; Thomas Angle; Paul Waggoner; Kathleen Giles
Journal:  Front Vet Sci       Date:  2020-06-05

6.  Evaluation of Volatile Metabolites Emitted In-Vivo from Cold-Hardy Grapes during Ripening Using SPME and GC-MS: A Proof-of-Concept.

Authors:  Somchai Rice; Devin L Maurer; Anne Fennell; Murlidhar Dharmadhikari; Jacek A Koziel
Journal:  Molecules       Date:  2019-02-01       Impact factor: 4.411

Review 7.  The Cannabis Terpenes.

Authors:  Sarana Rose Sommano; Chuda Chittasupho; Warintorn Ruksiriwanich; Pensak Jantrawut
Journal:  Molecules       Date:  2020-12-08       Impact factor: 4.411

8.  Identification of Olfactory Nuisance of Floor Products Containing Bitumens with the TD-GC-MS/O Method.

Authors:  Mateusz Kozicki
Journal:  Materials (Basel)       Date:  2022-01-26       Impact factor: 3.623

9.  Odor impact of volatiles emitted from marijuana, cocaine, heroin and their surrogate scents.

Authors:  Somchai Rice; Jacek A Koziel
Journal:  Data Brief       Date:  2015-10-23

10.  Qualitative Exploration of the 'Rolling Unmasking Effect' for Downwind Odor Dispersion from a Model Animal Source.

Authors:  Donald W Wright; Jacek A Koziel; David B Parker; Anna Iwasinska; Thomas G Hartman; Paula Kolvig; Landon Wahe
Journal:  Int J Environ Res Public Health       Date:  2021-12-11       Impact factor: 3.390

  10 in total

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