
Here, we discuss how to perform a validation, how to calculate the Standard Error of Prediction, and the best metric of calibration quality.
Here, we discuss how to perform a validation, how to calculate the Standard Error of Prediction, and the best metric of calibration quality.
Here, we discuss the importance of calibration metrics and how to measure calibration quality.
Here, we will introduce systematic error, discuss how to measure signal-to-noise ratios, and more.
Here, we begin a new column series on calibration science. The goal of these columns will be to teach you the foundational theory behind how to calibrate analytical instruments that are used for quantitative analysis in the cannabis analysis industry, such as potency and pesticide analyzers.
It is impossible to obtain potency accuracy in cannabis analysis. Here, we suggest some solutions to the problem.
In this Q&A, Lake Superior State University’s Ben Southwell and Agilent Technologies’ Jean-Francois Roy suggest that laboratories should network and share best practices to optimize analytical procedures and overcome the lack of standardization in the cannabis market.
Recently, Leafreport, an Israeli company that provides reviews and comparisons of cannabidiol (CBD) companies and products, released their 2022 report on their transparency analysis for 4384 CBD products.
Why are those extra decimal places possibly meaningless? How can you use significant figures to discern the true meaning of your cannabis analysis measurements?
We once again go beyond cannabi¬noids and look at the importance and chemistry of flavonoids in cannabis.
The world of fungi, mold, and mycotoxins is explored and discussed.
There are thousands of other potential analytical targets in cannabis that are relatively unexplored. Here, the author examines terpenes.
Here we review the current and pertinent literature in utilizing cannabis derivatives in animals and discuss the future forecast of cannabis in veterinary medicine.
Laboratories are challenged with highly regulated and difficult sample schematics, sample preparation, extraction, and testing procedures that try to ensure accuracy and precision of testing. Accuracy in analytical testing starts at the very beginning with sampling and sample preparation prior to testing.
Cannabis distillate samples spiked with known amounts of pesticides were submitted to five cannabis testing laboratories-here are the results.