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In Memoriam: Anthony Macherone
March 01, 2024
It is with great sadness that we acknowledge the passing of Anthony Macherone, PhD.
Fast Residual Solvents and Terpenes Analyses in Cannabis and Hemp Products
February 24, 2024
An explanation of the parameters for the implementation of the new methods for the analysis of residual solvents and terpenes using a single gas chromatography–mass spectrometry (GC–MS) system.
How Manufacturing, Regulations, and Sustainability Are Affecting the Cannabis and Hemp-Based Products Industry
October 06, 2022
Experts within the global cannabis and hemp industries discuss the importance of testing and regulations and sustainable measures that can reduce the sector’s environmental impact.
Dr. Macherone on Cannabis Science Conference East Education and Future Growth Areas
September 28, 2022
Dr. Anthony Macherone of Agilent Technologies shares what he learned at Cannabis Science Conference East 2022.
Dr. Anthony Macherone Calls for More Comprehensive Pesticide Testing for Safer Consumer Cannabis Products
September 19, 2022
Dr. Anthony Macherone of Agilent Technologies discusses what he hopes to see change in the future regarding cannabis regulations and testing guidelines.
Challenges in Developing Cannabis Testing Methods
September 15, 2022
Dr. Anthony Macherone of Agilent Technologies discusses some of the unique challenges when developing testing methods for cannabis products.
Dr. Anthony Macherone Discusses LC-MS for Potency Testing at CSC East 2022
September 15, 2022
Dr. Anthony Macherone of Agilent Technologies shares some insights from his talk at Cannabis Science Conference East 2022.
A Brief Review of Derivatization Chemistries for the Analysis of Cannabinoids Using GC–MS
September 24, 2020
This article focuses on the use of GC–MS for the analysis of derivatized cannabinoids in hempseed oil matrix.
Anthony Macherone Joins Cannabis Science and Technology®’s Editorial Advisory Board
June 15, 2020
Cannabis Science and Technology® is pleased to announce the addition of Anthony Macherone to its editorial advisory board (EAB).
The Stability of Acid Phytocannabinoids Using Electrospray Ionization LC–MS in Positive and Negative Modes
April 10, 2020
This study highlights a potential concern for the quantitation of acid phytocannabinoids.
GC-TOF Discovery-Based Profiling of CBD Oil Pet Supplements
December 18, 2019
In this study, six different brands of CBD oil pet supplements were obtained and untargeted analyses using gas phase-time of flight mass spectrometry were performed.
Up in Smoke: The Naked Truth for LC–MS/MS and GC–MS/MS Technologies for the Analysis of Certain Pesticides in Cannabis Flower
October 25, 2019
A study using LC-qTOF, GCqTOF, and GC–MS/MS to evaluate the selectivity of a model pesticide commonly found in regulatory target lists.
Optimized Cannabis Microbial Testing: Combined Use of Extraction Methods and Pathogen Detection Tests Using Quantitative Polymerase Chain Reaction
August 22, 2019
This review introduces a quantitative polymerase chain reaction (qPCR) assay and compares its performance to culture-based methods.
Liquid Chromatography– Time-of-Flight Mass Spectrometry for Cannabinoid Profiling and Quantitation in Hemp Oil Extracts
February 28, 2018
A primary impediment to cannabinoid research is the fact that materials possessing psychoactive Δ9-tetrahydrocannabinol (THC) are considered Schedule I drugs as defined in the U.S. Controlled Substances Act. An alternative source of cannabinoids may be found in hemp oil extracts. Hemp contains a low percentage of THC by weight but relatively high amounts of nonpsychoactive cannabinoids. The liquid chromatography–time-of-flight mass spectrometry (LC–TOF-MS) method presented herein allows for the accurate, precise, and robust speciation, profiling, and quantification of cannabinoids in hemp oil extracts and commercial cannabinoid products for research and development laboratories. The method was determined to chromatographically separate 11 cannabinoids including differentiation of Δ8-tetrahdrocannabinol and THC with excellent linear dynamic range, specificity, and sensitivity.
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