The authors propose a strategy for classifying and validating in-process testing methods.
Chemical processing differs from product manufacturing. For example, the manufacture of a finished product typically involves a molecular entity that is stable under normal conditions and can be stored for prolonged periods without losing its physical and chemical characteristics. Most chemical reactions, however, require very tight controls and close monitoring of their progress because any of several potential result paths may be followed if conditions are not monitored closely. Other factors such as temperature and pressure are critical parameters for the successful completion of the chemical conversion process.
Each chemical reaction is unique. Consider the combination of reactants and the resulting end products, for example. One must examine conditions such as temperature, light, heat, environment and the reaction vessel's surface. In addition, whether the reaction is chemical or biological is an important factor. Therefore, each process must be analysed separately and classified according to the International Conference on Harmonization (ICH) Q7A guidance. This task is important because a reaction step may generate an impurity that may be carried over to the active pharmaceutical ingredient (API), regardless of how far apart that process may be from the API.
ICH's Q7A guidance briefly mentions analytical methods validation and does not discuss the in-process control methods for each reaction. The guidance does indicate, however, that as the process gets closer to the manufacture of the key intermediate and the API, the current good manufacturing practices (cGMP) requirements become more demanding.
This article outlines a plan for classifying and validating in-process testing methods and is intended as a foundation for assessing the parameters and acceptance criteria needed for validation.
Matrix and Interferences
To characterize a reaction by means of an analytical method, it may be necessary to prepare a matrix, which functions similarly to a placebo for a finished product. A matrix is the combination of the reactants without the main component or precursor being converted. Because of the nature of some reactions, the combination of reagents may not be possible. However, adducts or complexes can be formed, which would not otherwise be formed in the presence of a component being converted into a product. The preparation of the matrix must be judged by the scientists working with the reaction process.
Classification of Methods
For monitoring purposes, analytical methods can be classified according to the manufacturing step in which they are applied. The document indicates that the GMP requirements become more stringent as the synthesis steps approach the API. Beginning with the introduction of the starting material into the process, manufacturing processes can be divided into three classes, which reflect the practices established in the ICH Q7A guidance:
- intermediates production (e.g., alkylation, hydrogenation)
- isolation and purification (e.g., washing, crystallization)
- physical processing and packaging (e.g., micronization).
Solution and standard stability should be included as part of some of the studies. The length of the stability study is defined by the process requirements. Class 1. The Class 1 classification is exclusive to methods used for in-process control (and monitoring) of intermediate steps during an API manufacturing process. The classification pertains to reactions that are at least two steps from the processing of the key intermediate. Because the formation or source of impurities should be known and each impurity identified, it is possible that in some instances, the classification becomes Class 2 several steps before the key intermediate production.
The validation process may require that intermediates be characterized, isolated and used as reference markers for establishing the relative retention times. The preparation of a matrix or reaction mixture without the active may help establish unknown peaks and potential interferences. The matrix must be treated according to the procedures established for in-process control monitoring methods.
Chromatographic methods are validated according to their classification, as previously discussed. The method validation protocol should include a discussion of the method's classification and the justification for the classification. The validation described for each classification is for quantitative chromatographic methods. Chromatographic identification and semiquantitative techniques such as thin-layer methods must be validated (described later in this article). These methods require the determination of accuracy in their semiquantitative level. Table 1 summarizes the requirements of each classification.
Class 1. Description. Class 1 methods are limit tests and must be validated accordingly. This validation should include a demonstration of the method's detection limit specificity and determination because these steps are far removed from the formation of the key intermediate and API. Therefore, one must be able to identify the peak of interest, properly resolved from the starting materials (reactants). The method should confirm the disappearance of the reactants or the formation of the adduct.
Requirements. The testing needed to monitor the intermediate steps during API manufacture falls into Class 1. According to ICH Q7A, this classification suits reaction steps far removed from the formation of the API and for which cGMP requirements are not as demanding.
As is typical for every method, system suitability is a requirement and usually includes injecting a marker for methods using response normalization for quantitation. Precision is not necessarily a requirement at this stage. Knowledge of the relative retention times of the reactants being monitored is essential, however.
The method's sensitivity should be established once the target entity monitored is quantified and the limit is established. The limits can be established by following ICH Q2B recommendations, which suggest a linearity experiment. At this stage, running a three-point linearity experiment around the target value can be used to estimate the detection limit. For example, consider a reaction in which the transformed or consumed reactant will be monitored until the area of the peak of its signal is 0.5% of the product being formed. The linearity experiment can be executed to include 0.25, 0.50 and 0.75% of the reactant. Linear regression results would provide the intercept's slope and standard error, and thus, the estimation of the detection limit for this classification. Alternatively, estimation solutions can be prepared. When a signal-to-noise ratio (3.3:1) is obtained for the solution, the figure becomes the detection limit for the method.
Class 2. Description. Class 2 method validation includes the limit-test requirements previously described (specificity, detection limit), the determination of the method quantitation limit and the demonstration of the method linearity covering the entire range of the method (i.e., reactants and adduct being formed to determine the specified limit). Thus, the detection limit and quantitation limit values should be calculated from the linearity data generated during the execution of the validation protocol. The testing required for monitoring the formation of the key intermediate falls under Class 2.
As with Class 1, a marker solution can be injected to establish the system-suitability criteria such as resolution and tailing factors. Again, precision may not be an issue because the criticality of this monitoring is the appearance or disappearance of a reactant or an adduct relative to each other.
The determination of the quantitation limit would be part of the limit-test requirement. In this case, because we are further into the ICH 7A-suggested criteria for cGMPs, it is recommended that the linearity experiment be conducted over its full range. This range would be from the quantitation limit to at least 125% of the concentration range monitored. If the target value lies far from the quantitation limit (e.g., the quantitation limit is 0.01% and the target concentration is 5%), then a three-point calibration should be run close to the quantitation limit. This step would be followed by a normal five-point linear regression from 50 to 125% of the target. It is useful to compare the precision between the curves and to compare the response factors obtained from both curves.
Solution and standard stability are essential components at this stage of the synthesis. The cGMP requirements mandate that these solutions be stable for the time of use. Any degradation could generate false data and miscalculations/misidentifications of unknowns. The length of stability will be defined by the process requirements.
Class 3. Description. In essence, Class 3 methods are finished-product (release) methods that control the final product of the manufacturing process. As such, the extent of validation for this type of method approximates the extent of validation for the finished product methods described in the US Pharmacopeia (USP). Class 3 methods validation includes linearity, accuracy, precision, specificity and intermediate precision. The ranges applied to each parameter are subject to internal procedure requirements. The rationale for the ranges used must be clearly explained in the methods validation protocol. The impurity method parameters will be applied when the reactant is the quantified chromatographic component.
Requirements. The testing required for the monitoring reactions for the formation of the final API molecule falls into Class 3. The following are the specific requirements for validating such methods:
- The standard must be fully characterized by scientifically recognized methods.
- USP standards should be used if they are available.
Semiquantitative thin-layer chromatography methods are in this category. This technique is a two-dimensional chromatographic procedure. As such, the system must be tested and the procedure must be clear.
The accuracy and linearity of the technique being qualified as a semiquantitative method must be verified. The reference standards must be prepared at concentrations ranging from a quantitation limit to at least 125% of the concentration targeted in the analysis. This information is a visual calibration for the method.
Conversely, specifications must be set for the response factor (Rf) of the spots of reference material and any other reference substances that are critical for the test. This process will establish the conditions for system suitability. Furthermore, the sensitivity of the method must be determined to enable visual calibration to be established and a reliable limit to be set for the test.
Along these lines, the composition of the mobile phase and the length of the plate run are critical to this test. The concentration established for the test must be such that the separation yields good resolution (R) between the closest eluting components of the mixture. The process also involves changes in chromatographic plates and analyst-to-analyst comparison. Therefore, robustness is also required.
A comparison of a unique Rf for the main substances monitored or quantified with the Rf of other major components of the reaction would yield the test's specificity. Once again, standard and solution stability are critical as controls for the methodology and for ensuring reliable results.
Nonchromatographic Instrument Methods
Among nonchromatographic methods, titration can be used for monitoring reaction sequences. Titration methods will require validation beyond equipment qualification.
Linearity and accuracy for the technique are important. Linearity is established by preparing three-point calibration curves. Regarding accuracy, the titration would require the determination of matrix contributions, if any, to the end point of the procedure. The preparation of spiked solutions, as well as the titration of blanks containing matrix elements, is required for validating the reliability of the technique. Thus, precision can be assessed from the experiments conducted under linearity and accuracy.
The reaction and its stoichiometric relationship can be presented to assess the specificity of the method. If a method is not specific, an explanation or the rationale for using a nonspecific method must be provided in the method validation protocol.
In-process Spectrophotometric Methods
With the exception of chromatographic methods, in-process spectrophotometric methods are those for which the end detection technique is spectrophotometric. When these methods are used for identification purposes, only sensitivity, standard and solution stability data are required. The calibration of each technique is required before analytical work can begin.
The validation of atomic absorption techniques should include linearity, accuracy, precision and specificity. Although specificity is inherent to the technique, the protocol and its report should indicate the analysis specificity of the particular method.
Monitoring chemical processes for the formation of an API is the first step to ensuring quality in pharmaceutical manufacturing. Having reliable and reproducible methods will enable the production plant to guarantee the consistency of drugs batch after batch. Furthermore, it may simplify the characterization of such processes and their chemical profile.
Through the years, vast publications and general information have been presented to pharmaceutical industry specialists about the validation of analytical methods. Federal and international regulatory groups have published various guidelines to shed light on analytical method validation. No such emphasis has been given, or guidances described, however, the validation of in-process control methods. This article intends to establish a starting point for discussions about the validation of in-process methods.
Jose Zayas is a technical director at Zaycor Industries Corp., Puerto Rico.
Victor Sanchez is an analytical support supervisor at Schering-Plough, Spain.
Michelle Talley is a consultant at the Mintanciyan Consulting Group, USA.
1. ICH, ICH Quality Guidelines: Good Manufacturing Practice Guidance for Active Pharmaceutical Ingredients Q7A (ICH, Geneva, Switzerland, 2001).
2. US Food and Drug Administration, Guidance Document for Industry, "Analytical Procedures and Methods Validation," (FDA, Rockville, MD, 2000).
3. ICH, ICH Quality Guidelines Validation on Analytical Procedures: Methodology Q2B (ICH, Geneva, Switzerland, 1996).
4. General Chapter (1225) "Validation of Compendial Methods," USP 27–NF 22 (US Pharmacopeial Convention, Rockville, MD, 2003).
This article was first published in Pharm. Technol. 29(4), 154–162 (2005) and is reproduced with kind permission.