Intralaboratory comparison of analytical methods for quantification of major phytocannabinoids.

This study compares alternative approaches for analyzing phytocannabinoids in different plant materials. Three chromatographic analytical methods (ultra-high-performance liquid chromatography with tandem mass spectrometric detection and gas chromatography with mass spectrometric and flame ionization detection) were evaluated regarding selectivity, sensitivity, analytical accuracy, and precision. The performance of the methods was compared and all three methods were demonstrated to be appropriate tools for analyzing phytocannabinoids in cannabis. Gas chromatography coupled with mass spectrometric detection showed slightly better accuracy in determining phytocannabinoid acids, which are often difficult to quantify owing to their limited stability. Aspects of sample preparation, such as material homogenization and extraction, were also considered. A single ultrasonic-assisted ethanolic extraction of dried and powdered plant samples of cannabis was shown to be exhaustive for extracting the samples prior to analysis.

Agricultural recovery of a formerly radioactive area: I. Establishment of high-resolution quantitative protein map of mature flax seeds harvested from the remediated Chernobyl area.

In recent years there has been an increasing tendency toward remediation of contaminated areas for agriculture purposes. The study described herein is part of a comprehensive, long-term characterization of crop plants grown in the area formerly contaminated with radioactivity. As a first step, we have established a quantitative map of proteins isolated from mature flax (Linum usitatissimum L.) seeds harvested from plants grown in a remediated plot localized directly in Chernobyl town. Flax was selected because it is a crop of economic and historical importance, despite the relative paucity of molecular resources. We used 2-dimensional electrophoresis followed by tandem mass spectrometry to establish a high-resolution seed proteome map. This approach yielded quantitative information for 318 protein spots. Genomic sequence resources for flax are very limited, leaving us with an "unknown function" annotation for 38% of the proteins analyzed including several that comprise very large spots. In addition to the seed storage proteins, we were able to reliably identify 82 proteins many of which are involved with central metabolism.