YORBA LINDA, Calif. (PRWEB) November 27, 2018
New methods & SOPs have been developed and validated to allow cannabis laboratories to quantitate Pesticides, Heavy Metals, Residual Solvents and Terpenes in cannabis and hemp. During this presentation, data and methodology will be presented to show the long-term stability of the ICP-MS, LC/MS/MS and GC/MS- Head Space methods, simplicity of sample preparation and techniques to overcome matrix effects, robustness towards any contamination from the dirty matrices, and detection limits well below the State requirements.
Data will show the importance of having a matrix matched method to the specific cannabis sample type to ensure that the cannabis reaching the patient is and appropriately labelled. Dr. Toby Astill, PhD, Sr. Business Manager for Cannabis & Hemp Markets, Perkin Elmer will also discuss the influences of the various cannabis sample types tested and the details specified on how to handle flower, concentrates, and edibles.
Dr. Astill brings over ten years of experience working in Science, Technology and Business roles for leading technology companies and is currently focused on driving PerkinElmer’s global cannabis and hemp initiatives.
This free webinar will occur on December 6, 2018 at 10:00am PST. To learn more about this event, the continuing education credits offered or to register click here.
PerkinElmer, Inc. is a global leader committed to innovating for a healthier world. Our dedicated team of about 11,000 employees worldwide is passionate about providing customers with an unmatched experience as they help solve critical issues especially impacting the diagnostics, discovery and analytical solutions markets. Our innovative detection, imaging, informatics and service capabilities, combined with deep market knowledge and expertise, help customers gain earlier and more accurate insights to improve lives and the world around us. The Company reported avenue of approximately $2.3 billion in 2017, serves customers in more than 150 countries, and is a component of the S&P 500 Index.
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