Resources
Sources and Risks of 4 Common Cannabis Contaminants
This infographic looks at the sources and risks of a selection of contaminants of concern to cannabis producers and consumers alike.
9 Tips to Help Cannabis Testing Labs Prepare for ISO 17025 Accreditation
Gaining ISO accreditation is any lab is a huge undertaking. This guide breaks down and outlines 9 practical steps you can take to help you prepare for the accreditation process.
Cannabinoids: Therapeutic Potential and Medical Uses
Explore the chemistry and state of research into the medical benefits of the major cannabinoids.
Multi-Element Analysis of Cannabis using ICP-MS
The analysis of mineral and additional trace metal screening of medicinal and recreational cannabis, as well as related products, provides key labeling information. The analysis can be carried out at all stages of production to ensure product quality control and products that are free of toxic metals.
5 Trends in Mass Spectrometry
Mass spectrometry is an important tool for a multitude of research disciplines, from identifying toxins in food and beverages, diagnosing bacterial infections to imaging samples at the biomolecular level. In this list we will explore some of the exciting trends within the field of mass spectrometry and the applications that are exploiting these advances to move the technique forward.
15 Tips and Tricks for LC-MS Troubleshooting
This list will arm you with the basic knowledge required to effectively troubleshoot and solve common issues encountered with LC-MS analysis.
Pivot Signs Exclusive Manufacturing Agreement with Bio V Pharma Inc.
Bio-cannabis product pipeline ready to be commercialized In Canada.
Fingerprinting the Terpene Profiles of Various Cannabis Strains using GC and GCxGC with High Performance TOFMS
The Pegasus BT 4D facilitates fast and confident cannabis product “fingerprinting” through enhanced two-dimensional chromatographic resolution and high performance TOFMS.
Robust compound identification was achieved through spectral similarity searches of large, well-established databases, mass D determinations, and retention index filtering.
3 Crucial Tips for Data Processing and Analysis
So you’ve collected your data and have a nice, clean dataset. Before you start your analyses, you need to get to know your data. Here we’re going to take a look at the different data types, learn to understand them and do calculations with them. By the time you’ve got to the end you’ll be able to put your new skills into practice in your data.
