Quantitation, Calibration, and Validation
This learning path on quantitation, calibration, and validation covers calibration curves, linearity, accuracy, precision, and detection limits. It includes internal/external standards, method validation per regulatory guidelines, and troubleshooting quantitation errors. Practical strategies focus on reproducibility, data integrity, and ensuring reliable, compliant analytical results in various applications.
3 Modules
3 Items
Quantitation and Calibration
This module will provide an understanding of the mathematical methods which are used to quantitate and calibrate chromatographic data.
Endorsed by
Method Validation - Principles
This module introduces the principles of analytical method validation. Each of the key parameters which are tested during a validation protocol are discussed in order to provide an understanding of what is being asked of the analyst and analytical method.
Endorsed by