Cannabis Analysis
Methods and Techniques for a Growing Industry
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Product details:
- Publisher Academic Press and AOCS Press
- Date of Publication 1 September 2021
- ISBN 9780128156841
- Binding Paperback
- No. of pages235 pages
- Size 235x191 mm
- Language English 0
Categories
Long description:
Cannabis Analysis: Methods and Techniques for a Growing Industry focuses on the need for the scientific, therapeutic and economic expansion of the cannabis industry and the accurate analysis of composition and contaminants. While there is an extensive body of scientific work focused on analytical methodologies for cannabinoid compounds, the bulk of the literature is devoted to forensics and analysis for law enforcement purposes. This marks the first analytical book to address these challenges that uses a focused and scientific approach. A sheer lack of uniformity in the industry poses risks and challenges for patients, growers and state agencies tasked with overseeing cannabis laws.
Written by academics and professionals whose work focuses on cannabis and its properties, this book serves as the reference standard for analytical methods in the cannabis industry.
- Describes the challenges associated with analyzing cannabis products, from preparing samples, to accurately quantifying components
- Presents methods and techniques for analyzing active components and contaminants and the state-of-the-art in cannabis analysis
- Includes future directions for analytical methods
Table of Contents:
I. Introduction: The Rational for Cannabis Analysis
II. II. Analytical Sample Preparation: The Challenge of Gummy Bears and Other Complex Matrices
III. III. Calibration: Overcoming the Challenge of Analytical Standards in a Semi-Legal Industry
IV. IV. Potency Testing: Analysis of Cannabinoids
V. V. Terpene Analysis
VI. VI. Pesticides: Looking for Needles in the Haystack
VII. VII. Microbiological Testing
VIII. VIII. Other Contaminants in Cannabis Products (Heavy Metals, Extraction Solvents, etc)
IX. IX. Genomic Testing for Strain Selection and Optimization
X. X. The Future of Cannabis Analysis