ANALYTICAL DESIGN SPACE STRATEGY FOR THE DEVELOPMENT OF LC METHODS TO COMBAT POTENTIALLY COUNTERFEIT ANTIBIOTIC DRUGS

Conference (2013, July)

Innovative Methodology for the Definition of Design Spaces of Chromatographic Methods

Conference (2013, June 06)

As defined by ICH [1] and FDA, Quality by Design (QbD) stands for “a systematic approach to development that begins with predefined objectives and emphasizes product and process understanding and process ... [more ▼]

As defined by ICH [1] and FDA, Quality by Design (QbD) stands for “a systematic approach to development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management”. A risk–based QbD–compliant approach is proposed for the robust development of analytical methods. This methodology based on Design of Experiments (DoE) to study the experimental domain models the retention times at the beginning, the apex and the end of each peak corresponding to the compounds of a mixture and uses the separation criterion (S) rather than the resolution (RS) as a Critical Quality Attribute. Stepwise multiple linear regressions are used to create the models. The estimated error is propagated from the modelled responses to the separation criterion (S) using Monte Carlo simulations in order to estimate the predictive distribution of the separation criterion (S) over the whole experimental domain. This allows finding ranges of operating conditions that will guarantee a satisfactory quality of the method in its future use. These ranges define the Design Space (DS) of the method. In chromatographic terms, the chromatograms processed at operating conditions within the DS will assuredly show high quality, with well separated peaks and short run time, for instance. This Design Space can thus be defined as the subspace, necessarily encompassed in the experimental domain (i.e. the knowledge space), within which the probability for the criterion to be higher than an advisedly selected threshold is higher than a minimum quality level. Precisely, the DS is defined as “the multidimensional combination and interaction of input variables (e.g., material attributes) and process parameters that have been demonstrated to provide assurance of quality” [1]. Therefore, this DS defines a region of operating conditions that provide prediction of assurance of quality rather than only quality as obtained with traditional mean response surface optimisation strategies. For instance, in the liquid chromatography there is a great difference in e.g. predicting a resolution (RS) higher than 1.5 vs. predicting that the probability for RS to be higher than 1.5 (i.e. P(RS> 1.5)) is high. The presentation of this global methodology will be illustrated for the robust optimisation and DS definition of several liquid chromatographic methods dedicated to the separation of different mixtures: pharmaceutical formulations, API and impurities/degradation products, plant extracts, separation of enantiomers, … [less ▲]

Optimisation robuste de méthodes SFC par une approche de type design space

Conference (2013, June)

Development of quantitative approaches based on Surface Enhanced Raman Scattering chemical imaging

Poster (2013, April 18)

Methodology for the Validation of Analytical Methods involved in Uniformity of Dosage Units tests

in Analytica Chimica Acta (2013), 760

Validation of analytical methods is required prior to their routine use. In addition, the current implementation of the Quality by Design (QbD) framework in the pharmaceutical industries aims at improving ... [more ▼]

Validation of analytical methods is required prior to their routine use. In addition, the current implementation of the Quality by Design (QbD) framework in the pharmaceutical industries aims at improving the quality of the end products starting from its early design stage. However, no regulatory guideline or none of the published methodologies to assess method validation propose decision methodologies that effectively take into account the final purpose of developed analytical methods. In this work a solution is proposed for the specific case of validating analytical methods involved in the assessment of the Content Uniformity or Uniformity of Dosage Units of a batch of pharmaceutical drug products as proposed in the European or US pharmacopoeias. This methodology uses statistical tolerance intervals as decision tools. Moreover it adequately defines the Analytical Target Profile of analytical methods in order to obtain analytical methods that allow to make correct decisions about Content Uniformity or Uniformity of Dosage Units with high probability. The applicability of the proposed methodology is further illustrated using an HPLC-UV assay as well as a Near Infra-Red Spectrophotometric method. [less ▲]

Implementation of a Design Space Approach for Enantiomeric Separations in Polar Organic Solvent Chromatography

in Journal of Pharmaceutical & Biomedical Analysis (2013), 74

This paper focuses on implementing a Design Space approach and on the critical process parameters (CPPs) to consider when applying the Quality by Design (QbD) concepts outlined in ICH Q8(R2), Q9 and Q10 ... [more ▼]

This paper focuses on implementing a Design Space approach and on the critical process parameters (CPPs) to consider when applying the Quality by Design (QbD) concepts outlined in ICH Q8(R2), Q9 and Q10 to analytical method development and optimization for three chiral compounds developed as modulators of small conductance calcium-activated potassium (SK) channels. In this sense, an HPLC method using a polysaccharide-based stationary phase containing a cellulose tris (4-chloro-3-methylphenylcarbamate) chiral selector in polar organic solvent chromatography mode was considered. The effects of trifluoroacetic acid (TFA) and n-hexane concentration in an acetonitrile (MeCN) mobile phase were investigated under a wide range of column temperatures. Good correlations were found between the observed data obtained after using a central composite design and the expected chromatographic behaviours predicted by applying the design of experiments-design space (DoE-DS) methodology. The critical quality attribute represented here by the separation criterion (Scrit) allowed assessing the quality of the enantioseparation. Baseline separation for the compounds of interest in an analysis time of less than 20 minutes was possible due to the original and powerful tools applied which facilitated an enhanced method comprehension. Finally, the advantage of the DoE-DS approach resides in granting the possibility to concurrently assess robustness and identify the optimal conditions which are compound dependent. [less ▲]

Modèles statistiques Bayésiens et méthodologies pour calculer le Design Space (OPTIMAL-DS)

Report (2012)

La compréhension des procédés technologiques et industriels dans les secteurs (bio)pharmaceutiques, biotechnologiques, agroalimentaires et environnementaux doit permettre de se conformer aux lignes de ... [more ▼]

La compréhension des procédés technologiques et industriels dans les secteurs (bio)pharmaceutiques, biotechnologiques, agroalimentaires et environnementaux doit permettre de se conformer aux lignes de conduites initiées par la FDA ou d'autres organismes de contrôles. Notamment, le document ICH Q8 introduit les notions de "Process Analytical Technology", de "Quality by Design" et de "Design Space", ayant attraits à la qualité des procédés industriels, des procédés d'analyse ainsi qu'à la qualité des produits finis. Cependant, si les lignes de conduites pour ces exigences sont expliquées, aucune méthodologie pour les atteindre n'est donnée. Or, un nombre considérable de nouvelles entités chimiques sont synthétisées par les laboratoires pharmaceutiques, biotechnologiques ou agroalimentaires. Les producteurs de matières premières et/ou d’excipients (secteur chimique) ont également besoin de disposer rapidement de méthodes analytiques de contrôle qui leur permettront de s’assurer de la qualité de leurs produits. On comprend aisément la nécessité pour ces secteurs de disposer rapidement de résultats fiables puisque les activités de recherches mais aussi des investissements, souvent importants, sont orientés ou stoppés sur base de données chiffrées, produits par les méthodes analytiques. La production de résultats fiables et la démonstration de cette fiabilité sont donc économiquement fondamentales. Ce projet vise la mise au point de stratégies et de modèles génériques de développement automatisé de nouvelles méthodes analytiques séparatives, en se basant sur la modélisation des temps de rétention, la planification expérimentale, et le concept de Design Space. L’objectif connexe est d’appliquer cette méthodologie à l’optimisation de n’importe quel procédé. Le fait de pouvoir disposer d’une méthodologie de mise au point automatique de méthodes analytiques ou de tous procédés analytiques aura un impact significatif. Cette nouvelle technologie permettra de réduire de façon drastique le temps d’optimisation des méthodes et procédés, permettant une production plus efficiente de produits (pharmaceutique, cosmétique, agro-alimentaire ou biotechnologique) répondant aux spécifications du client. [less ▲]

Innovative green supercritical fluid chromatography development for the separation of neurotransmitters using design space strategy

Conference (2012, October)

APPLICATION OF AN INNOVATIVE DESIGN SPACE OPTIMIZATION STRATEGY TO THE DEVELOPMENT OF LC METHODS TO COMBAT POTENTIALLY COUNTERFEIT NONSTEROIDAL ANTIINFLAMMATORY DRUGS

in Journal of Chromatography. A (2012), 1263

In the context of the battle against counterfeit medicines, an innovative methodology has been used to develop rapid and specific high performance liquid chromatographic methods to detect and determine 18 ... [more ▼]

In the context of the battle against counterfeit medicines, an innovative methodology has been used to develop rapid and specific high performance liquid chromatographic methods to detect and determine 18 non-steroidal anti-inflammatory drugs, 5 pharmaceutical conservatives, paracetamol, chlorzoxazone, caffeine and salicylic acid. These molecules are commonly encountered alone or in combination on the market. Regrettably, a significant proportion of these consumed medicines are counterfeit or substandard, with a strong negative impact in countries of Central Africa. In this context, an innovative design space optimization strategy was successfully applied to the development of LC screening methods allowing the detection of substandard or counterfeit medicines. Using the results of a unique experimental design, the design spaces of 5 potentially relevant HPLC methods have been developed, and transferred to an ultra high performance liquid chromatographic system to evaluate the robustness of the predicted DS while providing rapid methods of analysis. Moreover, one of the methods has been fully validated using the accuracy profile as decision tool, and was then used for the quantitative determination of three active ingredients and one impurity in a common and widely used pharmaceutical formulation. The method was applied to 5 pharmaceuticals sold in the Democratic Republic of Congo. None of these pharmaceuticals was found compliant to the European Medicines Agency specifications [less ▲]

Innovative green supercritical fluid chromatography development for the determination of polar compounds

in Journal of Chromatography. A (2012), 1256

In the context of green analytical chemistry, a supercritical fluid chromatography method was developed. In order to prove the potential of this technology, a worst case was selected, i.e. the separation ... [more ▼]

In the context of green analytical chemistry, a supercritical fluid chromatography method was developed. In order to prove the potential of this technology, a worst case was selected, i.e. the separation of very polar compounds. For that purpose, an innovative methodology based on design of experiments (DoE) and design space (DS) was previously developed and successfully tested on liquid chromatography. For the first time, this methodology was applied to a supercritical fluid chromatography (SFC) separation. First, a screening design was used to select the stationary phase and the nature of the mobile phase based on a maximization of the number of peaks eluted and a minimization of the number of co-eluted peaks. Then, a central composite design with orthogonal blocks defined a set of experiments used to model the retention times of each peak at the beginning, the apex, and the end. The gradient slope, the isocratic plateau before the gradient, the temperature, and the concentration of trifluoroacetic acid (TFA) in the mobile phase were the potentially influential factors. The critical quality attributes (CQAs), i.e. the separation (S) between peaks of the most critical pair, and the analysis time were the responses considered to assess the quality of the separation. The DS was computed as the multidimensional subspace where the probability for the separation and analysis time criteria to be within acceptance limits was higher than a defined quality level. The DS was computed propagating the prediction error from the modeled responses to the quality criterion using Monte Carlo simulations. The optimal condition was predicted at a gradient slope of 3.8% min−1 to linearly modify the modifier proportion between 5 and 40%, an isocratic time of 3 minutes, a concentration of TFA of 25 mM, and a temperature of 60.5 °C. This optimal condition was experimentally tested to confirm the prediction. Furthermore, chromatographic conditions included in the DS and on the limits of the DS were experimentally tested to assess the robustness of the developed SFC method. [less ▲]