Chemical profiling and clustering of various dried cannabis flowers revealed by volatilomics and chemometric processing.

Cannabis flower scent is one of the key characteristics of the cannabis plant. The diverse scents impact user experiences and offer medicinal benefits. These scents originate from volatile compounds, particularly terpenes and terpenoids.

Retention index based approach for simulation of results and application for validation of compound identification in comprehensive two-dimensional gas chromatography.

In this work, first and second dimensional retention index (I and I) based calculation approach is established to simulate peak retention times (t and t) of samples for the given sets of volatile compounds in comprehensive two-dimensional gas chromatography-mass spectrometry (GC×GC-MS). For the result without t and t data of alkane references (t and t), the following steps were applied: (1) curve fitting based on van den Dool and Kratz relationship in order to simulate t using a training set of volatile compounds in a sample with their experimental t data, and (2) simulation of t at different t to construct their isovolatility curves based on a nonlinear equation with p-p parameters and a constant (within the ranges of -0.0052 to 0.

Analysis of low-volatility pesticides in cabbage by high temperature comprehensive two-dimensional gas chromatography.

High-temperature comprehensive two-dimensional gas chromatography (HTGC × GC) using a longitudinally modulated cryogenic system (LMCS) was developed for the analysis of low-volatility pesticides in cabbage. The method applied DB-17HT and DB-5HT as the first and second dimensional (D and D) columns, respectively. Twelve pesticides, namely 6 organochlorines (4,4'-DDT, β-endosulfan, endosulfan sulfate, endrin, heptachlor, and dicofol), 4 carbamates (metolcarb, isoprocarb, methiocarb, and carbofuran), 1 organophosphate (chlorpyrifos), and 1 pyrethroid (permethrin), were spiked into cabbage samples and prepared using QuEChERS.

Strategies towards simpler configuration and higher peak capacity with comprehensive multidimensional gas chromatography.

Experimental and data analysis approaches in multidimensional gas chromatography (MDGC) comprising comprehensive multiple heart-cut (H/C) and comprehensive two dimensional GC (GC × GC) were developed with an example application illustrated for analysis of a technical glycol precursor sample. The GC × GC system employed a long D (30 m) and a short D (5 m) column with a flow modulator and a Deans switch (DS) as a splitter; meanwhile. The H/C system was applied solely as a DS located between long D (30 m) and D (60 m) columns without use of cryogenic trapping devices.

A multi-location peak parking approach for calculation of second dimensional retention indices for improved volatile compound identification with cryogen-free comprehensive heart-cut two-dimensional gas chromatography.

Comprehensive heart-cut multidimensional gas chromatography (CH/C MDGC) without a cryogenic trapping device was developed with an established approach for calculation of first and second dimensional retention indices (I and I) for improved compound identification. A first dimensional (D) DB-1MS column (60 m) and a second dimensional (D) DB-WAX column (60 m) were applied with a Deans switch (DS) using a constant H/C window of 0.2 min and a periodic multiple heartcut strategy comprising 225H/C throughout the CH/C.