in such guidance, “method development“ involves optimizing the procedures and
conditions involved with extracting and detecting the analyte. Method development
includes the optimization of the following bioanalytical parameters:
• Reference standards
• Critical reagents
• Calibration curve and linearity range
• Quality control samples (QCs)
• Selectivity and specificity, the ability to assess the analyte when it is in the
presence of other components, such as a matrix.
• Sensitivity, related to limit of detection and quantification
• Accuracy, the assessment of the difference between the measured value
and the real value. That could be quite difficult to evaluate if you have not
yet a reference standard.
• Precision, the measure of the agreement of multiple measurements on the
same sample
• Recovery, if you have sample pretreatment before the analysis
• Stability of the analyte in the matrix
Also, certain considerations should be envisioned upfront. The evaluation of the limits
of detection or quantification is not the same. The limit of detection is the lowest
amount of analyte that can be detected while the limit of quantification is the lowest
amount of analyte that could be determined accurately. Thus, an assay can give a result
at a very low level of analytes, but the precision of the test is not enough to reach proper
quantification. The linearity range is also important to determine. The linearity is the
range in which there is no saturation of the detection signal used for the assay. The
robustness of the assay regarding changes in the process is also of importance if a tool
is implemented in the development stages of the production process. As an assay could
be strongly impacted by the composition of the sample matrix, it is important to select
appropriate analytical methods if the process has been designed to modify this matrix.
Analytical tools can be affected by factors such as the manufacturing process, change in
formulation, or equipment used to synthesize the product. Overall, any test needs to be
validated; consequently, the way the assay is performed must be enough robust to allow
validation of the test.
8.2
ANALYSIS OF VIRAL PRODUCTS
Viral production processes are various, and consequently, the type of biological material
composition to characterize and quantify could involve a wide variety of quality attri-
butes. Indeed, depending on the end product, if the production process for example, aims
to produce viral vaccines or viral vectors, manufacturers will not target the same analytes.
8.2.1
BIOLOGICAL ATTRIBUTES OF VIRUS-BASED PRODUCTS
To start with definitions, biological activity is a critical quality attribute (CQA),
which means that biological activity is qualifying the viral product in terms of
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Bioprocessing of Viral Vaccines