New Publication in the Journal of Forensic Science on Fast Discrimination of Marijuana
For Immediate Release
Columbia, SC
DPX Technologies, Hamilton Company and Richland County Sheriff’s Department published an article in the Journal of Forensic Sciences titled “Fast Discrimination of Marijuana using Automated High‐throughput Cannabis Sample Preparation and Analysis by Gas Chromatography–Mass Spectrometry“. This article describes the process for robust testing for cannabis analysis. The automated workflow allows the department’s crime laboratory to maintain focus on public safety while supporting the burgeoning industrial hemp industry and requires minimal additional employees to support the testing.
In May of 2019 DPX announced their collaboration with Hamilton Company and Richland County Sheriff’s Department on the development of this method. This publication is the next step in informing the forensic science community of their work that could be applied in any crime laboratory. An excerpt from the article states that “Many traditional cannabis identification methods employed by crime laboratories cannot accurately determine total THC quantities in accordance with federal and state regulations, or do so with increased time, labor, and risks of instrument damage. In order to quickly distinguish positive marijuana samples, a method was developed to identify plant material with a total THC level >1%. This novel, automated dispersive pipette extraction (DPX) method uses tip‐based technology and an automated liquid handler to enable fast, hands‐free selective isolation of THC and its precursors for downstream gas chromatography–mass spectrometry (GC‐MS) analysis.”
DPX has been manufacturing pipette tips for sample preparation since 2007 and specializes in developing custom workflows for a diverse client base.
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About DPX Technologies
DPX is committed to providing innovative sample purification solutions. We collaborate with our customers to provide the high-quality products they need for complex chemical and biological analysis.
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