Literature

Decades of chromatography research done with DryLab®.

Browse through a complete list of over 280 publications that have been published using DryLab®.

Showing 141–160 of 210 results for "reverse phase"

Journal of Pharmaceutical and Biomedical Analysis · 2019

Computer-assisted UHPLC–MS method development and optimization for the determination of 24 antineoplastic drugs used in hospital pharmacy

Nicolas Guichard, Szabolcs Fekete, Davy Guillarme, Pascal Bonnabry, Sandrine Fleury-Souverain

This study reports the use of retention modeling software for the successful method development of 24 injectable antineoplastic agents. Firstly, a generic screening of several stationary and mobile phases (using various organic modifiers and pH) was achieved. Then, an optimization procedure of mobile phase temperature, gradient profile and mobile phase binary composition was conducted through only 28 real experiments using retention modeling software for data treatment. Finally, the optimized separation was achieved with a mobile phase consisting in 10 mM acetic acid at pH 5.1 (A) and acetonitrile (B). A Waters CORTECS® T3 column (100 × 2.1 mm, 1.6 μm) operated at 25 °C with a gradient time of 17.5 min (0–51%B) at a flow rate of 0.4 mL/min was used. The prediction offered by the retention model was found to be highly reliable, with an average error lower than 1%. A robustness testing step was also assessed from a virtual experimental design. Success rate and regression coefficient were evaluated without the need to perform any real experiment. The developed LC–MS method was successfully applied to the analysis of pharmaceutical formulations and wiping samples from working environment.

High-Performance Liquid Chromatography: Advances and Perspectives · 1980

Gradient Elution

Csaba Horváth, Lloyd R. Snyder

High-Performance Liquid Chromatography: Advances and Perspectives, Volume 1 deals with the fundamental aspects of high-performance liquid chromatography, a technique used in chemical analysis. The publication provides accounts, presented by experts in the field, of a variety of topics in high-performance liquid chromatography. Each chapter covers interesting subjects such as the evolution of liquid chromatography; the use of bonded phases in high-performance chromatography; effects of ionization and complex formation on retention and selectivity in reversed-phase chromatography; and gradient elution. Chromatographers, chemists, and researchers in the field of chemical analysis will find this book a valuable reference material.

Journal of Pharmaceutical and Biomedical Analysis · 2015

Method development for the separation of monoclonal antibody charge variants in cation exchange chromatography, Part II: pH gradient approach

Szabolcs Fekete, Alain Beck, Jenő Fekete, Davy Guillarme

The cation exhange pH gradient approach was evaluated for the characterization of 10 model monoclonal antibodies including panitumumab, natalizumab, cetuximab, bevacizumab, trastuzumab, rituximab, palivizumab, adalimumab, denosumab and ofatumumab. This work shows that retention and resolution can be modelled in cation exchange pH gradient mode, based on only four initial runs (i.e. two gradient times and two mobile phase temperature). Only 6h were required for a complete method optimization when using a 100mm×4.6mm strong cation exchange column. The accuracy of the predictions was excellent, with an average difference between predicted and experimental retention times of about 1%. The 10 model antibodies were successfully eluted in both pH and salt gradient modes, proving that both modes of elution can be considered as multi-product charge sensitive separation methods. For most of the compounds, the variants were better resolved in the salt gradient mode and the peak capacities were also higher in the salt gradient approach. These observations confirm that pH gradient approach may be of lower interest than salt gradient cation exchange chromatography for antibody characterization.

Analytica Chimica Acta · 2011

A stepwise strategy employing automated screening and DryLab modeling for the development of robust methods for challenging high performance liquid chromatography separations: A case study

K. Jayaraman, A. J. Alexander, Y. Hu, F. P. Tomasella

Journal of Pharmaceutical and Biomedical Analysis · 2024

Linear solvent strength model on porous graphitic carbon stationary phase using high temperature liquid chromatographic method for allopurinol related substances analysis

Barnabás Soós, Krisztián Horváth, Róbert Kormány

A high-performance liquid chromatography (HPLC) method was developed for the analysis of Allopurinol and its Ph.Eur. impurities using a porous graphitic carbon (PGC) stationary phase. Retention behavior of solutes was studied across a wide temperature range (30–90 °C) and various gradient times (5–20 min). Analysis of the data revealed distinct retention mechanisms between reversed-phase and PGC phases. However, it was proved that the retention of Allopurinol and its Ph.Eur. impurities on PGC stationary phase can be effectively modeled using the linear solvent strength (LSS) theory. This allows for the utilization of LSS-based method development software to optimize methods under these conditions. By using commercial chromatographic modeling software, separation of Allopurinol and Ph.Eur. impurities was optimized within a large design space. At the optimized operating conditions (pH = 2.0, tG = 6 min, T = 60 °C), all solutes were separated within 6 min with baseline resolution. Comparison between predicted and experimentally measured chromatograms further confirmed the applicability of LSS theory in developing analytical methods for PGC-based HPLC systems. The presented approach offers a general framework for method development on PGC phases.

Journal of Pharmaceutical and Biomedical Analysis · 2021

Computer-assisted UHPLC method development and optimization for the determination of albendazole and its related substances

Elek Ferencz, Éva-Katalin Kelemen, Mona Obreja, Emese Sipos, Sára Vida, Melinda Urkon, Zoltán-István Szabó

Computer-aided ultrahigh performance liquid chromatographic (UHPLC) method development and optimization was undertaken in order to replace an underperforming European Pharmacopoeia method for the determination of albendazole and its related substances. In the preliminary screening, a temperature-gradient time bidimensional model was chosen to aid selection of the proper stationary phase. Hereinafter temperature-gradient time-ternary composition and temperature-gradient time-pH tridimensional models were applied for the optimization of critical method parameters. The simulation and in silico robustness testing were realized using DryLab modeling software. The final method was validated for quantification of impurities and assay of the active substance according to the current ICH guidance. The validated methods were tested on a real, commercial tablet formulation. The experimental design-based and software-assisted method development proved to be a fast and reliable way of replacing a method with inadequate selectivity and long runtime with a robust UHPLC-based method, which offers baseline separation for all monitored impurities in 10 min. Results confirm that software-based chromatographic modelling can not only speed up the analytical method development process, but also improve the reliability of the developed method.

Journal of Chromatography · 1990

High-performance liquid chromatographic computer simulation based on a restricted multi-parameter approach: I. Theory and verification

J. W. Dolan, D. C. Lommen, L. R. Snyder

A computer program (DryLab MP®) is described for the simulation of HPLC separations where two or more variables (e.g., temperature and pH) are changed simultaneously. It is assumed that preliminary method development has resulted in a mobile phase of appropriate strength, such that 1 < k′ < 20 for all bands in the chromatogram. If it is desired to simulate separation as a function of changes in the values of n variables, then one or two additional runs are carried out for each variable —changing only that variable. Retention times for each of the latter runs are entered into the computer, and predictions of separation as a function of all conditions are now possible. Because simultaneous changes in two or more variables can lead to significant interaction effects and less accurate predictions, the software evaluates each simulation for possible errors. Allowed conditions must be capable of predicting values of α with an accuracy better than ± 2% (1 S.D.). The present computer program has a number of possible applications during and following method development, as discussed in the following paper (Part II).

Molecules (Basel, Switzerland) · 2021

Development of a Fast and Robust UHPLC Method for Apixaban In-Process Control Analysis

Róbert Kormány, Norbert Rácz, Szabolcs Fekete, Krisztián Horváth

In-process control (IPC) is an important task during chemical syntheses in pharmaceutical industry. Despite the fact that each chemical reaction is unique, the most common analytical technique used for IPC analysis is high performance liquid chromatography (HPLC). Today, the so-called "Quality by Design" (QbD) principle is often being applied rather than "Trial and Error" approach for HPLC method development. The QbD approach requires only for a very few experimental measurements to find the appropriate stationary phase and optimal chromatographic conditions such as the composition of mobile phase, gradient steepness or time (tG), temperature (T), and mobile phase pH. In this study, the applicability of a multifactorial liquid chromatographic optimization software was studied in an extended knowledge space. Using state-of-the-art ultra-high performance liquid chromatography (UHPLC), the analysis time can significantly be shortened. By using UHPLC, it is possible to analyse the composition of the reaction mixture within few minutes. In this work, a mixture of route of synthesis of apixaban was analysed on short narrow bore column (50 × 2.1 mm, packed with sub-2 µm particles) resulting in short analysis time. The aim of the study was to cover a relatively narrow range of method parameters (tG, T, pH) in order to find a robust working point (zone). The results of the virtual (modeled) robustness testing were systematically compared to experimental measurements and Design of Experiments (DoE) based predictions.

Journal of Pharmaceutical and Biomedical Analysis · 2022

Expediting the chromatographic analysis of COVID-19 antibody therapeutics with ultra-short columns, retention modeling and automated method development

Bastiaan Duivelshof, Arnold Zöldhegyi, Davy Guillarme, Matthew Lauber, Szabolcs Fekete

The COVID-19 pandemic necessitated the emergency use authorization (EUA) of several new therapeutics and vaccines. Several monoclonal antibodies (mAbs) were among those authorized for use, and they have served a purpose to provide passive immunity and to help minimize dangerous secondary effects in at-risk and hospitalized patients infected with SARS-CoV-2. With an EUA submission, scientific data on a drug candidate is often collected near simultaneously alongside drug development. In such a situation, there is little time to allow misguided method development nor time to wait on traditional turnaround times. We have taken this dilemma as a chance to propose new means to expediting the chromatographic characterization of protein therapeutics. To this end, we have combined the use of automated, systematic modeling and ultrashort LC columns to quickly optimize high throughput RP, IEX, HILIC and SEC separations for two COVID-19-related mAbs. The development and verification of these four complementary analytical methods required only 2 days of experimental work. In the end, one chromatographic analysis can be performed with a sub-2 min run time such that it is feasible to comprehensively characterize a COVID-19 mAb cocktail by 4 different profiling techniques within a 1-hour turnaround time.

Journal of Chromatography A · 2018

Enantioselective multiple heartcut two-dimensional ultra-high-performance liquid chromatography method with a Coreshell chiral stationary phase in the second dimension for analysis of all proteinogenic amino acids in a single run

Ulrich Woiwode, Stefan Neubauer, Wolfgang Lindner, Stephan Buckenmaier, Michael Lämmerhofer

A multiple heartcut (MHC) 2D-UHPLC method with UV detection has been developed for the enantioselective analysis of complex amino acid mixtures in a single run. The MHC method is based on an achiral gradient RPLC separation with 1.8 μm C18 phase (100 × 2.1 mm ID column) in the first dimension (1D) and enantioselective isocratic separation on a tert-butylcarbamoylquinine-based 2.7 μm Coreshell particle column (50 × 3 mm ID) in the second dimension (2D). Pre-column derivatization has been performed with Sanger’s reagent (2,4-dinitrofluorobenzene) yielding chromogenic 2,4-dinitrophenylated amino acids (DNP-AAs). Heartcuts of 40 μL fractions of the 1D peaks were sampled into the 2D system via a two-position four-port dual valve connected to two loop decks each equipped with six 40 μL parking loops. Using this setup, 25 amino acids (20 proteinogenic plus allo-Thr, allo-Ile, homoserine (Hse), Orn, β-Ala) have been analyzed enantioselectively in a fully automated manner with a single chiral column within 130 min total run time (1D and 2D). All 2D separations together took 101.5 min (29 cuts with 3.5 min run time each) and thus the total analysis time was quite efficiently utilized. Faster separations were restricted by some software constraints which did not allow to adjust run times in 2D individually. The practical utility of this enantioselective MHC method is documented by application for the absolute configuration determination of the amino acids in gramicidin and bacitracin. Further optimizations should lead to a generic enantioselective amino acid analyzer for the quality control of synthetic peptides and the structural characterization of non-ribosomal peptides.

Journal of Chromatography · 1991

Computer-aided optimization of high-performance liquid chromatographic analysis of flavonoids from some species of the genus Althaea

T. H. Dzido, E. Soczewiński, J. Gudej

DryLab G software was used for the optimization of gradient elution programs in reversed-phase high-performance liquid chromatography applied to the chromatographic analysis of flavonoids present in marsh-mallow (Althaea officinalis). The optimization experiments were carried out for a mixture of eight standard solutes (isolated previously from the plant) and then applied to an extract from the flowers of marsh-mallow. Computer simulation experiments allowed convenient analytical conditions to be chosen. The use of two modifiers, methanol and acetonitrile, made the identification of separated components more certain. Good agreement between simulated and experimental chromatograms was obtained.

Journal of Chromatography · 1991

Computer simulation of gradient elution separation: Accuracy of predictions for non-linear gradients

Diana D. Lisi, James D. Stuart, Lloyd R. Snyder

An experimental study was carried out for the separation of a series of homologous 2-ketoalkanes by reversed-phase gradient elution. Both linear and non-linear gradients were used. Computer simulation was applied to these same separations, and comparisons were made between experimental and predicted results (values of retention time, retention time difference and bandwidth). Errors in the predicted separation were generally small and similar for both linear and non-linear gradients. Somewhat larger errors (retention time differences) were found in non-linear gradient separations for bands eluting after a change in gradient steepness. This can be attributed to the dispersion (rounding) of the gradient as it passes through the high-performance liquid chromatographic equipment. Computer simulation was demonstrated to provide predictions that are adequate for the purposes of developing an optimized gradient separation.

Acta Chromatographica · 2002

Computer Optimization of the RP-HPLC Separation of Some Taxoids from Yew Extracts

M. Ł Hajnos, M. Waksmundzka-Hajnos, K. Głowniak

Drylab G software has been used to optimize the reversed-phase HPLC separation of taxoids and co-extracted substances from yew. Two preliminary runs based on a linear gradient from 5 to 100% acetonitrile (ACN) in 20 or 60 min were shown to be satisfactory for optimization of resolution. The optimization experiments were performed on a purified extract fortified with taxoid standards. The identity and purity of the peaks were verified by use of photodiode-array detection. Agreement between simulated and experimental data was good. The optimized chromatographic system can be used for quantitative analysis of paclitaxel, cephalomannine, and 10-deacetylbaccatin in yew extracts.

Chromatographia · 1989

High-performance-liquid chromatography of Thermus aquaticus 50S and 30S ribosomal proteins

I. Molnár, R. I. Boysen, V. A. Erdmann

The ribosomal 50S and 30S subunit proteins (r-proteins) ofThermus aquaticus have, for the first time, been characterized by size exclusion chromatography (SEC) and by reversed phase high performance liquid chromatography (RPC). To ensure that the best resolution in the RPC was obtained. the elution conditions, such as gradient time, flow rate, temperature, ionic strength of the eluent and the type of stationary phase were optimized. Correlation between experimentally found retention times and those predicted by DryLab G was better than 0.7% over 30 peaks. Protein fractions from RPC runs were desalted and processed by gel electrophoresis so that the ribosomal proteins could be identified by their position on SDS-polyacrylamide gels. The enhanced speed and quality of separation which has been achieved in this study is expected to bring advantaces in experimental work with ribosomal proteins as well as with other biopolymers. In our case the high resolution technique provides a basis for the preparation of a collection of individual ribosomal protein components for future rRNA-protein interaction studies.

Analytical Chemistry · 1990

Computer simulation (based on a linear-elution-strength approximation) as an aid for optimizing separations by programmed-temperature gas chromatography

D. E. Bautz, J. W. Dolan, W. D. Raddatz, L. R. Snyder

If the dependence of retention on temperature is specified for the various components of a sample in isothermal gas chromatography (GC), it is possible to predict retention, bandwidth, and resolution for programmed-temperature GC separations as a function of experimental conditions. The use of a linear-elution-strength (LES) approximation for isothermal retention allows these predictions to be carried out more easily and conveniently, in turn facilitating rapid simulations with a personal computer. This approach to GC method development appears promising, especially if segmented-temperature programs are used. The LES approximation also provides added insight into how different factors affect separation in programmed-temperature GC.

Talanta · 2015

Protocols for finding the most orthogonal dimensions for two-dimensional high performance liquid chromatography

Danielle N. Bassanese, Brendan J. Holland, Xavier A. Conlan, Paul S. Francis, Neil W. Barnett, Paul G. Stevenson

The selection of two high performance liquid chromatography (HPLC) columns with vastly different retention mechanisms is vital for performing effective two-dimensional (2D-) HPLC. This paper reports on a systematic method to select a pair of HPLC columns that provide the most different separations for a given sample. This was completed with the aid of a HPLC simulator that predicted retention profiles on the basis of real experimental data, which is difficult when the contents of sample matrices are largely-or completely-unknown. Peaks from the same compounds must first be matched between chromatograms to compare the retention profiles and optimised 2D-HPLC column selection. In this work, two methods of matching peaks between chromatograms were explored and an optimal pair of chromatography columns was selected for 2D-HPLC. First, a series of 17 antioxidants were selected as an analogue for a coffee extract. The predicted orthogonality of the standards was 39%, according to the fractional surface coverage ‘bins’ method, which was close to the actual space utilisation of the standard mixture, 44%. Moreover, the orthogonality for the 2D-HPLC of coffee matched the predicted value of 38%. The second method employed a complex sample matrix of urine to optimise the column selections. Seven peaks were confidently matched between chromatograms by comparing relative peak areas of two detection strategies: UV absorbance and potassium permanganate chemiluminescence. It was found that the optimal combinations had an orthogonality of 35% while the actual value was closer to 30%.

Journal of Chromatography A · 2014

Comparison of liquid chromatography and supercritical fluid chromatography coupled to compact single quadrupole mass spectrometer for targeted in vitro metabolism assay

Dany Spaggiari, Florence Mehl, Vincent Desfontaine, Alexandre Grand-Guillaume Perrenoud, Szabolcs Fekete, Serge Rudaz, Davy Guillarme

The goal of this study was to evaluate the combination of powerful chromatographic methods and compact single quadrupole MS device for simple in vitro cytochrome P450 (CYP) inhibition assay, instead of more expensive triple quadrupole MS/MS detectors. For this purpose, two modern chromatographic approaches (ultra-high pressure liquid chromatography (UHPLC) and ultra-high performance supercritical fluid chromatography (UHPSFC)) were tested in combination with simple MS detector. To show the applicability for an in vitro CYP-mediated metabolism assay using the cocktail approach, a method was first developed in UHPLC–MS to separate a mixture of 8 probe substrates and 8 CYP-specific metabolites. A screening procedure was initially applied to determine the best combination of a column, an organic modifier and a mobile-phase pH, followed by fine tuning of the conditions (i.e., gradient profile, temperature and pH) using HPLC modelling software. A similar sequential method development procedure was also evaluated for UHPSFC–MS. For method development, where peak tracking is necessary, the use of single quadrupole MS was found to be extremely valuable for following the investigated analytes. Ultimately, a baseline separation of the 16 compounds was achieved in both UHPLC–MS and UHPSFC–MS with an analysis time of less than 7min. In a second series of experiments, sensitivity was evaluated, and LOQ values were between 2 and 100ng/mL in UHPLC–MS, while they ranged from 2 to 200ng/mL in UHPSFC–MS. Based on the concentrations employed for the current in vitro phase I metabolism assay, these LOQ values were appropriate for this type of application. Finally, the two analytical methods were applied to in vitro CYP-dependent metabolism testing. Two well-known phytochemical inhibitors, yohimbine and resveratrol, were investigated, and reliable conclusions were drawn from these experiments with both UHPLC–MS and UHPSFC–MS. At the end, the proposed strategy of optimized chromatography combined with simple MS device has been shown to potentially compete with the widely used combination of generic chromatography and highly selective MS/MS device for simple in vitro CYP inhibition assays. In addition, our analytical method may be easier to use in a routine environment; the instrument cost is significantly reduced and the two developed methods fit for purpose.

American Laboratory · 2010

Strategy for Improving HPLC Retention Time Prediction Accuracy Using Chromatography Simulation Software

A. Makarov, Zhi Chen, F. Chan, R. Bhashyam, R. Lobrutto, R. Vegesna

The basis for Quality by Design of chromatographic methods can be broadly categorized into two areas: knowledge space and design space. The knowledge space encompasses all considerations made, all experiments conducted, and all knowledge gained in the development of a method (i.e., column screening or pH screening experiments). The knowledge space forms the basis for delineating a design space within which one can modify the chromatographic factors (i.e., gradient slope, temperature, and buffer concentration, all at a defined pH) without significantly impacting the final quality of the method and making sure all of the chromatographic figures of merit can still be met (resolution of critical pairs, tailing factor, selectivity, etc.).

Journal of Chromatography A · 2026

Retention modeling of oligonucleotides on an amide-based HILIC column: A descriptor-driven approach

Jonathan Maurer, Balasubrahmanyam Addepalli, Fabrice Gritti, Matthew A. Lauber, Davy Guillarme, Szabolcs Fekete

Hydrophilic interaction chromatography (HILIC) has recently gained attention as a powerful tool for the analysis of nucleic acid–based therapeutics, offering high resolving power and excellent compatibility with mass spectrometry. However, the successful development of HILIC methods requires a clear understanding of the underlying retention mechanisms. Despite numerous studies, the respective contributions of hydrophilic partitioning, polar interactions, and ionic interactions to oligonucleotide retention remain poorly understood. In this work, the role of hydrogen bonding, dipole-dipole interactions, solvophobic effects, and ionic interactions in governing oligonucleotide retention have been systematically investigated. A series of targeted design-of-experiments studies, performed on a representative panel of samples to investigate the impact of oligonucleotide structure on retention, provided a refined framework for interpreting HILIC separations of oligonucleotides. All experiments were performed on an amide-bonded stationary phase, and the proposed descriptor-based retention model applies specifically to this surface chemistry. Our results demonstrate that solvophobic effects and hydrogen bonding are the dominant drivers of retention, whereas hydrophilic partitioning contributes negligibly under practical conditions. This mechanistic insight has important consequences for method development: introducing protic solvents into the mobile phase, conditions that would disrupt the water-rich layer, substantially increases selectivity and enables the resolution of closely related oligonucleotide species. Altogether, these findings shift the conceptual basis of HILIC for nucleic acids from a hydrophilic partitioning/interaction model toward a retention mechanism best described as a solvophobic–interaction‑dominated HILIC regime, in which protic solvents assist selectivity through H‑bond competition. This new perspective provides a more accurate foundation for designing, optimizing, and interpreting HILIC methods for oligonucleotide analysis.

The Column · 2011

Experimental Combination of Method Development Strategies in a Working Environment of Different Instrumental Set-ups

Imre Molnár, Kate E. Monks, Björn-Thoralf Erxleben

Experimental Combination of Method Development Strategies in a Working Environment of Different Instrumental Set-ups