1
|
Zöldhegyi A, Horváth K, Kormány R. Revisiting column selectivity choices in ultra-high performance liquid chromatography-Using multidimensional analytical Design Spaces to identify column equivalency. J Chromatogr A 2024; 1719:464738. [PMID: 38422706 DOI: 10.1016/j.chroma.2024.464738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 03/02/2024]
Abstract
Current guides and column selection system (CSS) platforms can provide some helpful insights with regard to the selection of alternative phases. Their practical reliability however, can also turn out to be questionable, especially considering the lack of detailed specifics, such as a clear definition of points of equivalence-appropriate running conditions under which the given analytical mixture can be satisfactorily resolved on various stationary phases. In this context, the use of multivariate modeling tools can be highly beneficial. These tools, when applied systematically, are ideal for uniquely characterizing complex LC-separation systems, a fact supported by numerous peer-reviewed papers. Revisiting our earlier work [1] and the applied systematic workflow [2], we used a Design Space modeling software (DryLab), with the main focus on building and comparing 3-dimensional separation models of amlodipine and its related impurities to identify shared method conditions under which columns are conveniently interchangeable. Our study comprised 5, C18-modified ultra-high performance liquid chromatography (UHPLC) columns in total, in some cases with surprising results. We identified several equivalences between the Design Spaces (DSs) of markedly different columns. Conversely, there were cases where, despite the predicted similarities in column data, the modeled DSs demonstrated clear differences between the selected stationary phases.
Collapse
Affiliation(s)
- Arnold Zöldhegyi
- Department of Analytical Chemistry, University of Pannonia, Egyetem u. 10, 8200 Veszprém, Hungary; Molnár-Institute for Applied Chromatography, Schneeglöckchenstrasse 47, 10407 Berlin, Germany
| | - Krisztián Horváth
- Department of Analytical Chemistry, University of Pannonia, Egyetem u. 10, 8200 Veszprém, Hungary
| | - Róbert Kormány
- Egis Pharmaceuticals Plc., Keresztúri út 30-38, Budapest, Hungary.
| |
Collapse
|
2
|
Analytical quality by design-compliant retention modeling for exploring column interchangeabilities in separating ezetimibe and its related substances. J Chromatogr A 2022; 1682:463494. [PMID: 36126559 DOI: 10.1016/j.chroma.2022.463494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 08/29/2022] [Accepted: 09/08/2022] [Indexed: 11/21/2022]
Abstract
There are several potential advantages of using experimental design-based retention modeling for chromatographic method development. Most importantly, through the model-delivered systematic understanding (Design Spaces), users can benefit from increased method consistency, flexibility and robustness that can efficiently be achieved at lesser amount of development time. As a result, modeling tools have always been great supplementary assets and welcomed by both the pharmaceutical industry and the regulatory authorities. Most recently published chapters of ICH however - Q2(R2) and Q14 (both currently drafts) - evidence a further paradigm shift, specifying the elements of model-based development strategies in the so-called "enhanced approach". The main aim of this study was to investigate the impact of stationary phase chemistries on chromatographic method performance in the application example of ezetimibe and its related substances. A commercial modeling software package (DryLab®) was used to outline three-dimensional experimental design frameworks and acquire model Design Spaces (DSs) of 9 tested columns. This was done by performing 12 input calibration experiments per column, systematically changing critical method parameters (CMPs) as variables such as the gradient time (tG), temperature (T) and the ternary composition (tC) of the mobile phase. The constructed models allowed studying retention behaviors of selected analytes within each separation systems. In the first part of our work, we performed single optimizations for all nine stationary phases with substantially different surface modifications based on their highest achievable critical resolution values. For these optimum points in silico robustness testing was performed, clearly showing a change of CMPs, depending on the column, and specified optimum setpoint. In the second part of our work, we simultaneously compared the three-dimensional virtual separation models to identify all method parameter combinations that could provide at least baseline separation (Rs, crit.>1.50). These overlapping areas between the models described a common method operational design region (MODR) where columns were considered completely interchangeable - in terms of their baseline resolving capability - regardless of their exact physicochemical properties. A final optimized, column-independent working point within the common MODR was selected for verification. Indeed, experimental chromatograms showed excellent agreement with the model; all columns in the common condition were able to yield critical resolution values higher than 2.0, only their retentivity (elution window of peaks) was found different in some cases. Our results underline that a profound understanding of the separation process is of utmost importance andthat in some cases, adequate selectivity is achievable on various stationary phases.
Collapse
|
3
|
Enesei D, Kapui I, Fekete S, Kormány R. Updating the European Pharmacopoeia impurity profiling method for terazosin and suggesting alternative columns. J Pharm Biomed Anal 2020; 187:113371. [PMID: 32460215 DOI: 10.1016/j.jpba.2020.113371] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 05/06/2020] [Accepted: 05/14/2020] [Indexed: 10/24/2022]
Abstract
This work was motivated by the demand of European Directorate for the Quality of Medicines and HealthCare (EDQM). A new liquid chromatographic (LC) method was developed for terazosin impurity profiling to replace the old European Pharmacopoeia (Ph. Eur.) method. This new method is published as part of the new Ph. Eur. monograph proposal of terazosin in Pharmeuropa issue 32.2. The aim of the method renewal was to cut the analysis time from 90 min (2 × 45 min) down to below 20 min. The Ph. Eur. monograph method is based on two different chromatographic separations to analyze the specified impurities of terazosin. The reason for the two methods is that two of the impurities are not sufficiently retained in reversed phase (RP) conditions, not even with 100% water as eluent. Therefore, next to RP, an ion-pair (IP) chromatographic method has to be applied to analyze those two impurities. With our new proposed method it was possible to appropriately increase the retention of the two critical compounds using alternative stationary phases (instead of a C18 phase which is suggested by the Ph. Eur. method). Applying a pentafluoro-phenyl (PFP) stationary phase, it was feasible to separate and adequately retain all the impurities. The detection wavelength was also changed compared to the Ph. Eur. method and is now appropriate for the detection and quantification of all impurities using perchloric acid in the mobile phase at low pH. Another goal of the present study was to develop a generic workflow and to evaluate the chromatographic resolution in a wide range of method variables and suggest some replacement columns for terazosin impurity profiling. Retention modeling was applied to study the chromatographic behavior of the compounds of interest and visualize resolution for the different columns, where a given criterion is fulfilled. A zone (set of chromatographic conditions) of a robust space could be then quickly identified by the overlay of the individual response surfaces (resolution maps). It was also demonstrated that two columns from different providers (Kinetex F5 and SpeedCore PFP) can be used as replacement columns, providing sufficient resolution at the same working point and a high degree of robustness.
Collapse
Affiliation(s)
- Dániel Enesei
- Egis Pharmaceuticals Plc., Keresztúri út 30-38, 1106 Budapest, Hungary
| | - Imre Kapui
- Egis Pharmaceuticals Plc., Keresztúri út 30-38, 1106 Budapest, Hungary
| | - Szabolcs Fekete
- School of Pharmaceutical Sciences, University of Geneva, CMU - Rue Michel-Servet, 1, 1206 Geneva, Switzerland
| | - Róbert Kormány
- Egis Pharmaceuticals Plc., Keresztúri út 30-38, 1106 Budapest, Hungary.
| |
Collapse
|
4
|
|
5
|
D’Atri V, Fekete S, Clarke A, Veuthey JL, Guillarme D. Recent Advances in Chromatography for Pharmaceutical Analysis. Anal Chem 2018; 91:210-239. [DOI: 10.1021/acs.analchem.8b05026] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Valentina D’Atri
- School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, CMU-Rue Michel Servet 1, 1211 Geneva 4, Switzerland
| | - Szabolcs Fekete
- School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, CMU-Rue Michel Servet 1, 1211 Geneva 4, Switzerland
| | - Adrian Clarke
- Novartis Pharma AG, Technical Research and Development, Chemical and Analytical Development (CHAD), Basel, CH4056, Switzerland
| | - Jean-Luc Veuthey
- School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, CMU-Rue Michel Servet 1, 1211 Geneva 4, Switzerland
| | - Davy Guillarme
- School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, CMU-Rue Michel Servet 1, 1211 Geneva 4, Switzerland
| |
Collapse
|
6
|
Simultaneous optimization of mobile phase composition and pH using retention modeling and experimental design. J Pharm Biomed Anal 2018; 160:336-343. [DOI: 10.1016/j.jpba.2018.07.054] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 07/26/2018] [Accepted: 07/30/2018] [Indexed: 11/20/2022]
|
7
|
Zöldhegyi A, Rieger HJ, Molnár I, Fekhretdinova L. Automated UHPLC separation of 10 pharmaceutical compounds using software-modeling. J Pharm Biomed Anal 2018; 156:379-388. [DOI: 10.1016/j.jpba.2018.03.039] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 03/15/2018] [Accepted: 03/17/2018] [Indexed: 01/28/2023]
|
8
|
Critical review of reports on impurity and degradation product profiling in the last decade. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2017.09.012] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
|
9
|
Sahu PK, Ramisetti NR, Cecchi T, Swain S, Patro CS, Panda J. An overview of experimental designs in HPLC method development and validation. J Pharm Biomed Anal 2017; 147:590-611. [PMID: 28579052 DOI: 10.1016/j.jpba.2017.05.006] [Citation(s) in RCA: 158] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Revised: 05/01/2017] [Accepted: 05/04/2017] [Indexed: 01/25/2023]
Abstract
Chemometric approaches have been increasingly viewed as precious complements to high performance liquid chromatographic practices, since a large number of variables can be simultaneously controlled to achieve the desired separations. Moreover, their applications may efficiently identify and optimize the significant factors to accomplish competent results through limited experimental trials. The present manuscript discusses usefulness of various chemometric approaches in high and ultra performance liquid chromatography for (i) methods development from dissolution studies and sample preparation to detection, considering the progressive substitution of traditional detectors with tandem mass spectrometry instruments and the importance of stability indicating assays (ii) method validation through screening and optimization designs. Choice of appropriate types of experimental designs so as to either screen the most influential factors or optimize the selected factors' combination and the mathematical models in chemometry have been briefly recalled and the advantages of chemometric approaches have been emphasized. The evolution of the design of experiments to the Quality by Design paradigm for method development has been reviewed and the Six Sigma practice as a quality indicator in chromatography has been explained. Chemometric applications and various strategies in chromatographic separations have been described.
Collapse
Affiliation(s)
- Prafulla Kumar Sahu
- Department of Pharmaceutical Analysis and Quality Assurance, Raghu College of Pharmacy, Dakamarri, Bheemunipatnam Mandal, Visakhapatnam, 531162, Andhra Pradesh, India
| | - Nageswara Rao Ramisetti
- Analytical Chemistry Division, CSIR-Indian Institute of Chemical Technology (IICT), Tarnaka, Hyderabad, 500007, Telangana, India.
| | - Teresa Cecchi
- Chemistry Department, ITT MONTANI, Via Montani 7, 63900, Fermo, FM, Italy.
| | - Suryakanta Swain
- Department of Pharmaceutics, SIMS College of Pharmacy, Mangaladas Nagar, Vijayawada Road, Guntur, 522 001, Andhra Pradesh, India
| | - Chandra Sekhar Patro
- Department of Pharmaceutical Analysis and Quality Assurance, Raghu College of Pharmacy, Dakamarri, Bheemunipatnam Mandal, Visakhapatnam, 531162, Andhra Pradesh, India
| | - Jagadeesh Panda
- Department of Pharmaceutical Analysis and Quality Assurance, Raghu College of Pharmacy, Dakamarri, Bheemunipatnam Mandal, Visakhapatnam, 531162, Andhra Pradesh, India
| |
Collapse
|
10
|
Separation of antibody drug conjugate species by RPLC: A generic method development approach. J Pharm Biomed Anal 2017; 137:60-69. [DOI: 10.1016/j.jpba.2017.01.013] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 01/05/2017] [Accepted: 01/06/2017] [Indexed: 11/18/2022]
|
11
|
Validation of a two-dimensional liquid chromatography method for quality control testing of pharmaceutical materials. J Chromatogr A 2017; 1492:89-97. [PMID: 28284763 DOI: 10.1016/j.chroma.2017.02.074] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Revised: 02/26/2017] [Accepted: 02/28/2017] [Indexed: 11/22/2022]
Abstract
Despite the advantages of 2D-LC, there is currently little to no work in demonstrating the suitability of these 2D-LC methods for use in a quality control (QC) environment for good manufacturing practice (GMP) tests. This lack of information becomes more critical as the availability of commercial 2D-LC instrumentation has significantly increased, and more testing facilities begin to acquire these 2D-LC capabilities. It is increasingly important that the transferability of developed 2D-LC methods be assessed in terms of reproducibility, robustness and performance across different laboratories worldwide. The work presented here focuses on the evaluation of a heart-cutting 2D-LC method used for the analysis of a pharmaceutical material, where a key, co-eluting impurity in the first dimension (1D) is resolved from the main peak and analyzed in the second dimension (2D). A design-of-experiments (DOE) approach was taken in the collection of the data, and the results were then modeled in order to evaluate method robustness using statistical modeling software. This quality by design (QBD) approach gives a deeper understanding of the impact of these 2D-LC critical method attributes (CMAs) and how they affect overall method performance. Although there are multiple parameters that may be critical from method development point of view, a special focus of this work is devoted towards evaluation of unique 2D-LC critical method attributes from method validation perspective that transcend conventional method development and validation. The 2D-LC method attributes are evaluated for their recovery, peak shape, and resolution of the two co-eluting compounds in question on the 2D. In the method, linearity, accuracy, precision, repeatability, and sensitivity are assessed along with day-to-day, analyst-to-analyst, and lab-to-lab (instrument-to-instrument) assessments. The results of this validation study demonstrate that the 2D-LC method is accurate, sensitive, and robust and is ultimately suitable for QC testing with good method transferability.
Collapse
|
12
|
Kormány R, Molnár I, Fekete J. Renewal of an old European Pharmacopoeia method for Terazosin using modeling with mass spectrometric peak tracking. J Pharm Biomed Anal 2017; 135:8-15. [DOI: 10.1016/j.jpba.2016.11.050] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 11/21/2016] [Accepted: 11/25/2016] [Indexed: 10/20/2022]
|
13
|
Bobály B, Sipkó E, Fekete J. Challenges in liquid chromatographic characterization of proteins. J Chromatogr B Analyt Technol Biomed Life Sci 2016; 1032:3-22. [DOI: 10.1016/j.jchromb.2016.04.037] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Revised: 04/07/2016] [Accepted: 04/22/2016] [Indexed: 01/11/2023]
|
14
|
Falchi F, Bertozzi SM, Ottonello G, Ruda GF, Colombano G, Fiorelli C, Martucci C, Bertorelli R, Scarpelli R, Cavalli A, Bandiera T, Armirotti A. Kernel-Based, Partial Least Squares Quantitative Structure-Retention Relationship Model for UPLC Retention Time Prediction: A Useful Tool for Metabolite Identification. Anal Chem 2016; 88:9510-9517. [DOI: 10.1021/acs.analchem.6b02075] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Federico Falchi
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Sine Mandrup Bertozzi
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Giuliana Ottonello
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Gian Filippo Ruda
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Giampiero Colombano
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Claudio Fiorelli
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Cataldo Martucci
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Rosalia Bertorelli
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Rita Scarpelli
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Andrea Cavalli
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
- Department
of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro
6, 40126 Bologna, Italy
| | - Tiziano Bandiera
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Andrea Armirotti
- Drug
Discovery and Development Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| |
Collapse
|