Analysis of Cannabis Material by Headspace Solid-Phase Microextraction Combined with Gas Chromatography-Mass Spectrometry

Ilias, Yara; Rudaz, Serge; Mathieu, Patrick; Veuthey, Jean‐Luc; Christen, Philippe

doi:10.2533/000942904777677957

Cited by 9 publications

(8 citation statements)

References 14 publications

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“…Evaluation of the effect of the fiber coating on extraction efficiencies of Δ 9 -THC, CBD and CBN from herbal cannabis samples showed that among polydimethylsiloxane (PDMS) 100 µm, PDMS/divinylbenzene (PDMS/DVB) 65 µm, Carboxen ® /PDMS and divinylbenzene/Carboxen ® /PDMS (DVB/Carboxen ® /PDMS) 50/30 µm, PDMS 100 µm performed optimally in general, although the PDMS/DVB fiber provided higher extraction efficiency for CBD, due to its higher polarity and affinity to PDMS/DVB. Among the three exposure temperatures (80 °C, 90 °C, 150 °C), 150 °C was optimal, simultaneously promoting volatilization and decarboxylation [ 59 , 148 ]. Extraction time depends upon matrix viscosity and lipophilicity that define the speed of diffusion of analytes from the liquid to the gas phase and, as a result, HS-SPME rate and efficiency.…”

Section: Analytical Methods For Phytocannabinoid Profilingmentioning

confidence: 99%

“…For fatty/oily matrices, such as versatile hemp foods, alkaline hydrolysis with NaOH and Na 2 CO 3 is performed prior to HS-SPME in order to saponify the matrix lipids and reduce lipid matrix interferences [ 99 ]. Therefore, extraction time varies depending upon the sample matrix, from 10 min for herbal cannabis [ 59 , 148 ] to 25 min for different hemp food products [ 99 ]. Finally, desorption time depends upon analytes’ lipophilicities [ 148 ].…”

Section: Analytical Methods For Phytocannabinoid Profilingmentioning

confidence: 99%

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Analytical Techniques for Phytocannabinoid Profiling of Cannabis and Cannabis-Based Products—A Comprehensive Review

et al. 2022

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Cannabis is gaining increasing attention due to the high pharmacological potential and updated legislation authorizing multiple uses. The development of time- and cost-efficient analytical methods is of crucial importance for phytocannabinoid profiling. This review aims to capture the versatility of analytical methods for phytocannabinoid profiling of cannabis and cannabis-based products in the past four decades (1980–2021). The thorough overview of more than 220 scientific papers reporting different analytical techniques for phytocannabinoid profiling points out their respective advantages and drawbacks in terms of their complexity, duration, selectivity, sensitivity and robustness for their specific application, along with the most widely used sample preparation strategies. In particular, chromatographic and spectroscopic methods, are presented and discussed. Acquired knowledge of phytocannabinoid profile became extremely relevant and further enhanced chemotaxonomic classification, cultivation set-ups examination, association of medical and adverse health effects with potency and/or interplay of certain phytocannabinoids and other active constituents, quality control (QC), and stability studies, as well as development and harmonization of global quality standards. Further improvement in phytocannabinoid profiling should be focused on untargeted analysis using orthogonal analytical methods, which, joined with cheminformatics approaches for compound identification and MSLs, would lead to the identification of a multitude of new phytocannabinoids.

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Section: Analytical Methods For Phytocannabinoid Profilingmentioning

confidence: 99%

Section: Analytical Methods For Phytocannabinoid Profilingmentioning

confidence: 99%

Analytical Techniques for Phytocannabinoid Profiling of Cannabis and Cannabis-Based Products—A Comprehensive Review

et al. 2022

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“…Compounds found were characterized using a mass spectrum database (NIST05) and data from the literature [1][2][3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Methodsmentioning

confidence: 99%

“…The majority of the literature available focuses on the extraction of the chemical profile of cannabis seizures [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] but limited information is available regarding the methodology developed for interpreting hashish profiles showing similar characteristics [17][18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Chemical profiling of different hashish seizures by gas chromatography–mass spectrometry and statistical methodology: A case report

Cadola

Broséus

Esseiva

2013

Forensic Science International

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“…SPME, in headspace mode, was used for the extraction of cannabinoids directly from the plants [16]. The developed method was applied to the analysis of two series of cannabis samples from Switzerland, harvested in Geneva, Neuchâtel, and Zürich.…”

Section: Data Analysis Of Cannabis Samples After Solid-phase Microextmentioning

confidence: 99%

Statistical and Chemometric Tools Applied to Pharmaceutical Analysis

Veuthey¹,

Rudaz²

2005

Chimia

Self Cite

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The Laboratory of Pharmaceutical Analytical Chemistry (LCAP) is involved in numerous projects and therefore has to use different analytical instrumentations. Separation techniques, such as chromatography or electrophoresis, remain the techniques of choice but need to be adapted in each specific challenge. To better develop, optimize and validate analytical methodologies, the use of the multivariate approach is of utmost interest. Statistical experimental design is a powerful tool to quantify the effect of one or more variables on a set of measured responses. It provides a methodological framework for changing operating parameters simultaneously by the help of experimental designs. These approaches involve the smallest possible number of useful experiments and provide maximum information. The relevant results obtained in pharmaceutical analysis compared to a univariate approach come from their ability to detect and quantify variable interactions and therefore considerably increase the system knowledge. On the other hand, with the increase of modern computerized analytical techniques, the information could be present as hidden structures in the huge amount of data. As a result, chemometric methods have been applied to extract information. For this purpose, principal component analysis (PCA) combined with other statistical techniques are now necessary to efficiently reduce and interpret complex data structure.

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Analysis of Cannabis Material by Headspace Solid-Phase Microextraction Combined with Gas Chromatography-Mass Spectrometry

Cited by 9 publications

References 14 publications

Analytical Techniques for Phytocannabinoid Profiling of Cannabis and Cannabis-Based Products—A Comprehensive Review

Analytical Techniques for Phytocannabinoid Profiling of Cannabis and Cannabis-Based Products—A Comprehensive Review

Chemical profiling of different hashish seizures by gas chromatography–mass spectrometry and statistical methodology: A case report

Statistical and Chemometric Tools Applied to Pharmaceutical Analysis

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