Method validation Flashcards
Analytical Method Validation Considerations :-
When we validate :-
Development of new methodology for manufacturing support
Continuous Improvement
To support changes to analytical methodology
Manage obsolescence changes
To show equivalence with pharmacopoeia methods
Raise Change Control
Follow principles outlined in ICHQ2
Purpose of validation is to show that a method is accurate, precise & specific.
Accuracy is
the degree to which the result of a measurement, calculation, or specification conforms to the correct value or a standard
Precision is
the closeness of two or more measurements to each other is known as the precision of a substance.
Specificity is
Defined as the ability of an assay to distinguish target from nontarget analytes, including matrix (i.e., specimen) components.
Limit of detection is
The minimum value that can be reproducibly detectable in an analytical method
Limit of quantification is
The minimum level of an analyte that can be safely and reproducibly reported
Linearity is
The capability of a method to accurately and precisely determine the amount of an analyte over a range of concentrations around a nominal value - the new ICH Q2 and Q14 guidelines - the Q2 gives some thought on the recommended data eg linearity = min 5 concentrations across the range, accuracy = 3 concentrations/ 3 replicates
Range is
the working range of analytical method, usually representative of the accuracy, precision and linearity
Robustness is
validation to include method parameters that could vary and still demonstrate control
Method validation documentation required
Raise Validation Protocol – Objective / Background, Acceptance Criteria, Methodology, Validation Parameters.
This will be followed by a Validation Report - Summary of Results Vs Acceptance, Criteria, Individual Results and Discussion, Conclusions & Recommendations.
What stats are applied during analytical method validation?
Two Sided T-Test can be used to demonstrate equivalence
Linearity – R value should be 0.998
Range – assay 80 – 120%
Intermediate Precision – F-Test
LOD and LOQ
Analytical method transfer considerations
For multiple strength if formulation is step up and step down where placebo contrast is same any strength can be used.
If formulation is look a like which means all strength is having same average weight just active ingredient concentration is changing in such - choose lower strength where placebo is higher.
For assay and dissolution - specificity and precision to be checked
For Related substances- RS we do specificity , precision , LOQ confirmation .
If impurity is below LOQ or not detected same needs to be spiked at limit concentration and needs to prove method is capable to deter if impurity is present in sample.
Perform identification test and any TLC to avoid future challenges.
How would you go about the method validation and tech transfer for an assay test?
I would raise a change control to assess the change. I would raise a tech transfer protocol and follow the guidance outlined in ICH Q2 for analytical method validation. This includes testing for the following:-
Accuracy
Precision
Specificity
LOQ /LOD
Linearity
Range
How would you compare the data from the accuracy and precision tests? What is t value and p value, what parameters would you measure?
Double sided t- test
T value measures the difference between the relative variation of your sample data
The closer the T value is to 0 the less variation there is in your data
P value is the calculated probability of obtaining a t value – the larger the t value the smaller the p value
How would you validate the method robustness?
Robustness typically only performed in development of a new analytical method. A number of small deliberate changes are made to method parameters such as flow rate, temperature, pH, injection volume etc. The impact on the method can