Bertyl Andri
University of Liège
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Featured researches published by Bertyl Andri.
Journal of Pharmaceutical and Biomedical Analysis | 2014
Amandine Dispas; Pierre Lebrun; Bertyl Andri; Eric Rozet; Philippe Hubert
The concept of Quality by Design (QbD) is now well established in pharmaceutical industry and should be applied to the development of any analytical methods. In this context, the key concept of Design Space (DS) was introduced in the field of analytical method optimization. In chromatographic words, the DS is the space of chromatographic conditions that will ensure the quality of peaks separation, thus DS is a zone of robustness. In the present study, the interest of robust method optimization strategy was investigated in the context of direct method transfer from sending to receiving laboratory. The benefit of this approach is to speed up the method life cycle by performing only one quantitative validation step in the final environment of method use. A Supercritical Fluid Chromatography (SFC) method previously developed was used as a case study in this work. Moreover, the interest of geometric transfer was investigated simultaneously in order to stress a little bit more the transfer exercise and, by the way, emphasize the additional benefit of DS strategy in this particular context. Three successful transfers were performed on two column geometries. In order to compare original and transferred methods, the observed relative retention times (RT) were modelled as a function of the predicted relative RT and of the method type (original or transferred). The observed relative RT of the original and transferred methods are not statistically different and thus the method transfer is successfully achieved thanks to the robust optimization strategy. Furthermore, the analytical method was improved considering analysis time (reduced five times) and peak capacity (increased three times). To conclude, the advantage of using a DS strategy implemented for the optimization and transfer of SFC method was successfully demonstrated in this work.
Journal of Chromatography A | 2017
Bertyl Andri; Pierre Lebrun; Amandine Dispas; Régis Klinkenberg; Bruno Streel; Eric Ziemons; R.D. Marini; Ph. Hubert
In the uprising context of green analytical chemistry, Supercritical Fluid Chromatography (SFC) is often suggested as an alternative to Normal Phase Liquid Chromatography. Indeed, SFC provides fast, efficient and green separations. In this report, the quantitative performances of SFC were challenged on a real-life case study: the Quality Control (QC) of vitamin D3. A rapid and green SFC method was optimized thanks to the Design of Experiments-Design Space (DoE-DS) methodology. It provided robust and high quality separation of the compounds within a 2min timeframe, using a gradient of ethanol as co-solvent of the carbon dioxide. The analytical method was fully validated according to the total error approach, demonstrating the compliance of the method to the specifications of U.S. Pharmacopeia (USP: 97.0-103.0%) and European Pharmacopeia (EP: 97.0-102.0%) for an interval of [50-150%] of the target concentration. In order to allow quantification of impurities using vitamin D3 as an external standard in SFC-UV, correction factors were determined and verified during method validation. Thus, accurate quantification of impurities was demonstrated at the specified levels (0.1 and 1.0% of the main compound) for a 70.0-130.0% dosing range. This work demonstrates the validity of an SFC method for the QC of vitamin D3 raw material and its application to real samples. Therefore, it supports the switch to a greener and faster separative technique as an alternative to NPLC in the pharmaceutical industry.
Journal of Pharmaceutical and Biomedical Analysis | 2017
Amandine Dispas; Vincent Desfontaine; Bertyl Andri; Pierre Lebrun; Dorina Kotoni; Adrian Clarke; Davy Guillarme; Philippe Hubert
HIGHLIGHTSSFC is an alternative to European Pharmacopeia method LC method for salbutamol sulfate impurities determination.Separation of salbutamol sulfate impurities was achieved in 7 min using SFC.Robust SFC method was optimized thanks to Design Space strategy.SFC method was successfully validated according to total error approach.SFC could be used for the quality control of salbutamol sulfate API. ABSTRACT In the last years, supercritical fluid chromatography has largely been acknowledged as a singular and performing technique in the field of separation sciences. Recent studies highlighted the interest of SFC for the quality control of pharmaceuticals, especially in the case of the determination of the active pharmaceutical ingredient (API). Nevertheless, quality control requires also the determination of impurities. The objectives of the present work were to (i) demonstrate the interest of SFC as a reference technique for the determination of impurities in salbutamol sulfate API and (ii) to propose an alternative to a reference HPLC method from the European Pharmacopeia (EP) involving ion‐pairing reagent. Firstly, a screening was carried out to select the most adequate and selective stationary phase. Secondly, in the context of robust optimization strategy, the method was developed using design space methodology. The separation of salbutamol sulfate and related impurities was achieved in 7 min, which is seven times faster than the LC‐UV method proposed by European Pharmacopeia (total run time of 50 min). Finally, full validation using accuracy profile approach was successfully achieved for the determination of impurities B, D, F and G in salbutamol sulfate raw material. The validated dosing range covered 50 to 150% of the targeted concentration (corresponding to 0.3% concentration level), LODs close to 0.5 &mgr;g/mL were estimated. The SFC method proposed in this study could be presented as a suitable fast alternative to EP LC method for the quantitative determination of salbutamol impurities.
Journal of Chromatography A | 2017
Bertyl Andri; Amandine Dispas; R.D. Marini; Philippe Hubert; Patrick Sassiat; Ramia Z. Al Bakain; Didier Thiébaut; Jérôme Vial
This work presents a first attempt to establish a model of the retention behaviour for pharmaceutical compounds in gradient mode SFC. For this purpose, multivariate statistics were applied on the basis of data gathered with the Design of Experiment (DoE) methodology. It permitted to build optimally the experiments needed, and served as a basis for providing relevant physicochemical interpretation of the effects observed. Data gathered over a broad experimental domain enabled the establishment of well-fit linear models of the retention of the individual compounds in presence of methanol as co-solvent. These models also allowed the appreciation of the impact of each experimental parameter and their factorial combinations. This approach was carried out with two organic modifiers (i.e. methanol and ethanol) and provided comparable results. Therefore, it demonstrates the feasibility to model retention in gradient mode SFC for individual compounds as a function of the experimental conditions. This approach also permitted to highlight the predominant effect of some parameters (e.g. gradient slope and pressure) on the retention of compounds. Because building of individual models of retention was possible, the next step considered the establishment of a global model of the retention to predict the behaviour of given compounds on the basis of, on the one side, the physicochemical descriptors of the compounds (e.g. Linear Solvation Energy Relationship (LSER) descriptors) and, on the other side, of the experimental conditions. This global model was established by means of partial least squares regression for the selected compounds, in an experimental domain defined by the Design of Experiment (DoE) methodology. Assessment of the models predictive capabilities revealed satisfactory agreement between predicted and actual retention (i.e. R2=0.942, slope=1.004) of the assessed compounds, which is unprecedented in the field.
Journal of Chromatography A | 2017
Bertyl Andri; Amandine Dispas; Régis Klinkenberg; Bruno Streel; Roland Marini Djang'Eing'A; Eric Ziemons; Philippe Hubert
Nowadays, many efforts are devoted to improve analytical methods regarding efficiency, analysis time and greenness. In this context, Supercritical Fluid Chromatography (SFC) is often regarded as a good alternative over Normal Phase Liquid Chromatography (NPLC). Indeed, modern SFC separations are fast, efficient with suitable quantitative performances. Moreover, the hyphenation of SFC to mass spectrometry (MS) provides additional gains in specificity and sensitivity. The present work aims at the determination of vitamin D3 by SFC-MS for routine Quality Control (QC) of medicines specifically. Based on the chromatographic parameters previously defined in SFC-UV by Design of Experiments (DoE) and Design Space methodology, the method was adapted to work under isopycnic conditions ensuring a baseline separation of the compounds. Afterwards, the response provided by the MS detector was optimized by means of DoE methodology associated to desirability functions. Using these optimal MS parameters, quantitative performances of the SFC-MS method were challenged by means of total error approach method validation. The resulting accuracy profile demonstrated the full validity of the SFC-MS method. It was indeed possible to meet the specification established by the European Medicines Agency (EMA) (i.e. 95.0 - 105.0% of the API content) for a dosing range corresponding to at least 70.0-130.0% of the API content. These results highlight the possibility to use SFC-MS for the QC of medicine and obviously support the switch to greener analytical methods.
American Journal of Analytical Chemistry | 2016
Bertyl Andri; Amandine Dispas; R.D. Marini; Philippe Hubert
Journal of Automated Methods & Management in Chemistry | 2017
Ramia Z. Al Bakain; Yahya S. Al-Degs; Bertyl Andri; Didier Thiébaut; Jérôme Vial; Isabelle Rivals
Archive | 2017
Amandine Dispas; Bertyl Andri; Pierre Lebrun; Vincent Desfontaine; Dorina Koroni; Adrian Clarke; Davy Guillarme; Philippe Hubert
Archive | 2017
Amandine Dispas; Vincent Desfontaine; Bertyl Andri; Pierre Lebrun; Dorina Kotoni; Adrian Clarke; Davy Guillarme; Philippe Hubert
Archive | 2017
Bertyl Andri; Ramia Z. Al Bakain; Amandine Dispas; Roland Marini Djang'Eing'A; Philippe Hubert; Patrick Sassiat; Didier Thiébaut; Jérôme Vial