AOAC CASP Meeting
1 DRAFT AOAC SMPR 2019.XXX; Version 6; September 7, 2019
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Method Name:
Quantitation of cannabinoids in plant materials of hemp (low THC varieties
Cannabis sp.)
Intended Use : 7 8 1. Purpose: AOAC SMPRs describe the minipmum recommended performance characteristics to be 9 used during the evaluation of a method. The evaluation may be an on‐site verification, a single‐ 10 laboratory validation, or a multi‐site collaborative study. SMPRs are written and adopted by AOAC 11 Stakeholder Panels composed of representatives from the industry, regulatory organizations, contract 12 laboratories, test kit manufacturers, and academic institutions. AOAC SMPRs are used by AOAC Expert 13 Review Panels in their evaluation of validation study data for methods being considered for 14 Performance Tested Methods or AOAC Official Methods of Analysis , and can be used as acceptance 15 criteria for verification at user laboratories. Consensus‐based Reference method.
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2. Applicability :
The method will be able to identify, and quantify individual cannabinoids (as listed in Table 1a and Table 1b) in plant materials expressed on a dry weight basis. The method must be able to report
total THC regardless of how it is measured (total THC as defined in this SMPR).
3. Analytical Technique :
Any analytical technique(s) that measures the analytes of interest and meets the following method
performance requirements is/are acceptable.
4. Definitions :
Limit of Quantitation (LOQ)
The minimum concentration or mass of analyte in a given matrix that can be reported as a
quantitative result.
Quantitative method
Method of analysis which response is the amount of the analyte measured either directly (enumeration in a mass or a volume), or indirectly (color, absorbance, impedance, etc.) in a certain
amount of sample.
Repeatability
Variation arising when all efforts are made to keep conditions constant by using the same instrument and operator and repeating during a short time period. Expressed as the repeatability
standard deviation (SD r
); or % repeatability relative standard deviation (%RSD r ).
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