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Development and Submission of Near Infrared Analytical Procedures

FinalCenter for Drug Evaluation and Research08/06/2021

Description

This guidance provides recommendations to applicants to aid the development, validation, and use of near infrared (NIR)-based analytical procedures in evaluating the identity, strength, quality, purity, and potency of drug substances and drug products. The recommendations apply to new drug applications (NDAs), abbreviated new drug applications (ANDAs), and supplemental NDAs and ANDAs for small molecule drugs. The principles in this guidance also apply to drug substances and drug products covered in Type II drug master files. FDA intends to issue recommendations specific to NIR methods used for biological products under biologics license applications in a future revision to this guidance. This guidance provides recommendations to applicants for applying the concepts described in the guidance for industry PAT — A Framework for Innovative Pharmaceutical Development, Manufacturing, and Quality Assurance (September 2004) (PAT guidance) and the International Council for Harmonisation (ICH) guidance for industry Q2(R1) Validation of Analytical Procedures: Text and Methodology (November 2005) to NIR analytical procedures that use chemometric models. This guidance also provides recommendations for submitting NIR documentation in applications.

Scope & Applicability

Product Classes

4
Drug products

Guidance is applicable to drug and biological products

Drug product

formaldehyde as a drug product impurity

Small molecule drugs

Applies to drug products including small molecule drugs; assessment of immunosuppression risk

Biological products

development program for drug and biological products

Stakeholders

1
Applicant

Entity submitting development data and knowledge; Entity performing the work process for change

Regulatory Context

Attributes

7
Signal-to-noise ratio

A quality attribute of the spectral acquisition.

Content uniformity

Measured using NIR results

Linearity

Performance characteristic to be validated

Precision

Closeness of agreement between a series of measurements from multiple samplings.; Performance characteristic measured by intermediate precision; Performance characteristic to be validated

Accuracy

Performance characteristic assessed via linearity experiment

Robustness

Evaluation of robustness and parameter ranges of analytical procedures; Development of a robust multivariate analytical procedure includes scientifically justified sample selection; Capacity of an analytical procedure to meet performance criteria during normal use.; Assessed using retention time models; Performance characteristic to be validated

Specificity

Ability to detect intended mechanism of action without interference; Performance characteristic to be validated

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See Also (8)