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Issue dated - 14th April 2005

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A strategy to ensure product quality and consistency

Specifications are chosen to confirm the quality of the drug substance rather than to establish full characterisation, and should focus on those characteristics found to be useful, says J Ramnivas

J Ramnivas

Establishing specifications for active pharmaceutical ingredients is a herculean task. If the drug substance is already in the relevant pharmacopoeia, there is no problem in setting the specifications. Otherwise, one has to crack hard nuts for developing the specifications followed by method development and validation to the developed methods to meet the regulatory requirements. Unless the method is validated, it is not suitable for the release of the material for commercial purposes.

As ICH Q7A guidelines state, ‘‘Analytical methods should be validated unless the method employed is included in the relevant pharmacopoeia or other recognised standard reference.’’ The suitability of all testing methods used should nonetheless be verified under actual conditions of use and documented as specifications form a part of a total control strategy for the drug substance designed to ensure product quality and consistency.

Other parts of this strategy include a thorough product characterisation during development, upon which specifications are based and adherence to Good Manufacturing Practices; e.g., suitable facilities, a validated manufacturing process, validated test procedure, raw material testing, in-process testing, stability testing, etc.

Specifications are chosen to confirm the quality of the drug substance rather than to establish full characterisation, and should focus on those characteristics found to be useful.

Identifying and setting specifications to establish the quality dimensions of a drug substance represents an important aspect of project management. With significant cost and time-to-market pressures, a well thought-out strategy regarding a product’s specifications can have huge implications on ease of manufacturing and ultimately, on the product’s financial return. The cost of measuring numerous specifications on a commercial product is significant.

An evolving specification “laundry list” generated during the development process may become “engraved in stone,” incurring unnecessary costs year after year during the product’s life cycle. Surely, this is an undesired situation in today’s cost-conscious marketplace. Therefore, an important project management goal is to establish material acceptance specifications that clearly assess the API’s quality as it is released from a validated manufacturing process.

The following concepts are important in the development and setting of harmonised specifications. They are not universally applicable, but each should be considered in particular circumstances. This guideline presents a brief definition of each concept and an indication of the circumstances under which it may be applicable.

Generally, proposals to implement these concepts should be justified by the applicant and approved by the appropriate regulatory authority before being put into effect.

(i) Periodic and skip testing
(ii) Release versus shelf life acceptance criteria
(iii) In-process tests
(iv) Design and development consideration
(v) Limited data available at filing
(vi) Parametric release
(vii) Alternative procedures
(viii) Pharmacopoeial tests and acceptance criteria
(ix) Evolving technologies
(x) Impact of drug substance on drug product specifications
(xi) Reference standards

A few recommendations for establishing API specifications have been offered that can substantially reduce the manufacturing cost of a drug substance. Without question, choose specifications that represent the API’s quality when produced by a validated manufacturing process using documented analytical standards. These specifications should, if possible, be divorced from molecular confirmation techniques since structure determination was accomplished long before the product reached manufacturing.

Secondly, use a statistical basis to establish the specification range based on the process and measurement capabilities of the production facility. This approach is dependent upon the caveat that performance requirements drive specifications, not what the plant can, or wants to do.

The following parameters of “Specifications” module must be taken into consideration for development of specifications for active pharmaceutical ingredients and key intermediates or the starting materials, which are helpful in the hazard analysis and critical controls on the product as per cGMP norms:

S= Safety
P= pH, purity, potency, polymorphic, pyrogens, physico-chemical properties and particle size distribution
E = Efficacy study, enantiomers and endotoxin study
C = Characterisation study
I = Identification test and isomerism studies
F = Feasibility study
Forced degradation study
Freedom from contamination
I = Impurity profile and related substances
C = Clinical studies phase-I, phase-II and phase-III, chiral purity (in case optical active substance)
C = Assay
T = Toxicity and therapeutic studies including microbial limit tests I= Inorganic substances [elemental and metallic impurities]
O = Organic volatile impurities
N = Non-volatile matters
S = Solvents used in the process (Class-I, II, III etc. as listed in ICH Q3C Guidelines)

The quality of drug substances and drug products is determined by their design, development, in-process controls, GMP controls and process validation and by specifications applied to them throughout development and manufacture.

The specifications, ie, those tests, procedures and acceptance criteria which play a major role in assuring the quality of the drug substance at release and during shelf life. Specifications are an important component of quality assurance, but are not its only component. All of the considerations listed above are necessary to ensure consistent production of drug substances of high quality.

The Q6A guideline discusses these concepts, providing recommendations on what data should be evaluated, including decision trees describing how the data can be evaluated when developing specifications.

Despite these efforts, there remains a lack of agreement globally concerning the role that statistical uncertainty plays in establishing specifications.

The writer is senior manager QA, Tonira Pharma Limited, Vadodara. Email: jramniwas@tonira.com

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