Literature

Decades of chromatography research done with DryLab®.

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

Showing 61–80 of 117 results for "large molecules"

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.

Journal of Chromatography A · 1996

Combined use of temperature and solvent strength in reversed-phase gradient elution I. Predicting separation as a function of temperature and gradient conditions

P. L. Zhu, Lloyd R. Snyder, John W. Dolan, N. M. Djordjevic, D. W. Hill, L. C. Sander, Tom J. Waeghe

It has been shown previously that computer simulation based on two initial experiments can predict separation in reversed-phase gradient elution as a function of gradient conditions (gradient steepness, gradient range and gradient shape) and column conditions (column length, flow-rate and particle size). The present study extends this capability for changes in temperature. Four initial experiments (two different gradient times, two different temperatures) provide input data that allow predictions of separation as a function of temperature as well as gradient and column conditions. A semi-empirical relationship, tR=a+bT, is able to relate gradient retention time tR to column temperature T (other conditions constant). The accuracy of this approach has been evaluated for 102 solutes and a variety of experimental conditions, including the use of five different HPLC instruments (four different models).

Journal of Chromatography A · 1996

Combined use of temperature and solvent strength in reversed-phase gradient elution III. Selectivity for ionizable samples as a function of sample type and pH

P. L. Zhu, John W. Dolan, Lloyd R. Snyder, D. W. Hill, L. Van Heukelem, T. J. Waeghe

The ability of temperature and gradient steepness to change band spacing has been investigated for several ionizable samples that include 8 substituted benzoic acids, 9 substituted anilines, 22 basic drugs, 9 structurally-related herbicide impurities, 7 chlorophylls and 72 peptides and proteins. Mobile phase pH was also varied to determine the effect of sample ionization on temperature and gradient-steepness selectivity.

Journal of Chromatography A · 2017

Optimization of non-linear gradient in hydrophobic interaction chromatography for the analytical characterization of antibody-drug conjugates

Balázs Bobály, Giuseppe Marco Randazzo, Serge Rudaz, Davy Guillarme, Szabolcs Fekete

The goal of this work was to evaluate the potential of non-linear gradients in hydrophobic interaction chromatography (HIC), to improve the separation between the different homologous species (drug-to-antibody, DAR) of commercial antibody-drug conjugates (ADC). The selectivities between Brentuximab Vedotin species were measured using three different gradient profiles, namely linear, power function based and logarithmic ones. The logarithmic gradient provides the most equidistant retention distribution for the DAR species and offers the best overall separation of cysteine linked ADC in HIC. Another important advantage of the logarithmic gradient, is its peak focusing effect for the DAR0 species, which is particularly useful to improve the quantitation limit of DAR0. Finally, the logarithmic behavior of DAR species of ADC in HIC was modelled using two different approaches, based on i) the linear solvent strength theory (LSS) and two scouting linear gradients and ii) a new derived equation and two logarithmic scouting gradients. In both cases, the retention predictions were excellent and systematically below 3% compared to the experimental values.

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 · 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 · 2013

Optimizing selectivity during reversed-phase high performance liquid chromatography method development: Prioritizing experimental conditions

Lloyd R. Snyder, John W. Dolan

Several different conditions can be varied to improve selectivity for reversed-phase chromatography (RPC). A reexamination of literature data suggests that changes in selectivity due to a change of column or mobile phase pH are largely replicated by changes in temperature or mobile phase composition (concentrations of acetonitrile and/or methanol). This suggests a reconsideration of the role of mobile phase pH and the column during method development.

Journal of Chromatography · 1989

Separation of mixtures of o-phthalaldehyde-derivatized amino acids by reversed-phase gradient elution: Accuracy of computer simulation for predicting retention and band width

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

The separation of seven o-phthalaldehyde-derivatized amino acids by reversed-phase gradient elution was studied as a function of gradient time and mobile phase flow-rate. The resulting separations were compared with those from computer simulation (Drylab G). Predictions of retention time via computer simulation were found to be quite accurate, being about ±0.7% for retention time and about ±7% for retention-time differences (resolution). Predictions of band width were accurate within about ±15% for all but the steepest gradients (b > 1.0). Consequently, the ability of computer simulation to predict chromatograms reliably as a function of gradient conditions and flow-rate was confirmed for a sample that is representative of “real life”. For very steep gradients (b > 1.0), significant errors in band width were observed. The source of these errors could arise from various effects which are discussed.

Forensic Science International · 2016

In-silico optimisation of two-dimensional high performance liquid chromatography for the determination of Australian methamphetamine seizure samples

Luke M. Andrighetto, Niki K. Burns, Paul G. Stevenson, James R. Pearson, Luke C. Henderson, Christopher J. Bowen, Xavier A. Conlan

In-silico optimisation of a two-dimensional high performance liquid chromatography (2D-HPLC) separation protocol has been developed for the interrogation of methamphetamine samples including model, real world seizure, and laboratory synthesised samples. The protocol used Drylab® software to rapidly identify the optimum separation conditions from a library of chromatography columns. The optimum separation space was provided by the Phenomonex Kinetex PFP column (first dimension) and an Agilent Poroshell 120 EC-C18 column (second dimension). To facilitate a rapid 2D-HPLC analysis the particle packed C18 column was replaced with a Phenomenex Onyx Monolithic C18 withought sacrificing separation performance. The Drylab® optimised and experimental separations matched very closely, highlighting the robust nature of HPLC simulations. The chemical information gained from an intermediate methamphetamine sample was significant and complimented that generated from a pure seizure sample. The influence of the two-dimensional separation on the analytical figures of merit was also investigated. The limits of detection for key analytes in the second dimension determined for methamphetamine (4.59ÿ10⿿4M), pseudoephedrine (4.03ÿ10⿿4M), caffeine (5.16ÿ10⿿4M), aspirin (9.32ÿ10⿿4M), paracetamol (5.93ÿ10⿿4M) and procaine (2.02ÿ10⿿3M).

Chromatographia · 2011

From Csaba Horváth to Quality by Design: Visualizing Design Space in Selectivity Exploration of HPLC Separations

Imre Molnár, K.E. Monks

The present paper starts by taking a look back at some of the pioneering work in high pressure liquid chromatography (HPLC) that went on in Csaba Horváth’s laboratory in 1970s, through the eyes of I. Molnár. It then goes on to describe a very modern approach to HPLC method development within the Quality by Design framework: the multifactorial optimization of three critical HPLC method parameters, i.e. gradient time (tG), temperature (T), and ternary composition (B1:B2) based on 12 experiments. The effect of these experimental variables on critical resolution and selectivity was carried out in such a way as to systematically vary all three factors simultaneously.

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.

Journal of Chromatography A · 1996

Combined use of temperature and solvent strength in reversed-phase gradient elution IV. Selectivity for neutral (non-ionized) samples as a function of sample type and other separation conditions

P. L. Zhu, John W. Dolan, Lloyd R. Snyder, N. M. Djordjevic, D. W. Hill, J. -T. Lin, L. C. Sander, L. Van Heukelem

The separation of nine un-ionized samples was studied as a function of temperature (T) and gradient steepness (b). Selectivity values Δlog α∗ were obtained for 160 compounds, ranging from nonpolar hydrocarbons to very polar drugs. Selectivity varied markedly with sample type: nonpolar compounds such as aromatic hydrocarbons and fatty acid methyl esters generally showed only modest changes in band spacing as temperature or gradient steepness was varied. More polar samples exhibited larger changes in α (Δlog α∗) when temperature and/or gradient steepness wee changed, but the largest values of Δlog α∗ for these non-ionized samples are less than the average value of Δlog α∗ for the ionized samples of Part III [1]. Poly-functional silane (“polymeric”) columns exhibit slightly increased b- and/or T-selectivity for some samples.

Journal of Chromatography A · 2025

Extended multidimensional design space studies: Comparing volatile and non-volatile buffer systems in UPLC

Arnold Zöldhegyi, Barnabás Soós, Krisztián Horváth, Imre Molnár, Róbert Kormány

Journal of Chromatography A · 2020

Improving selectivity and performing online on-column fractioning in liquid chromatography for the separation of therapeutic biopharmaceutical products

Szabolcs Fekete, Harald Ritchie, Jason Lawhorn, Jean-Luc Veuthey, Davy Guillarme

A novel column-coupling approach is suggested to improve both the selectivity and efficiency of protein separations in liquid chromatography. Protein separations often suffer from limited selectivity or not appropriate resolving power. For a new biopharmaceutical product, the identification of the main and minor variant species is required. For that purpose, often offline collection fractioning is applied which is time consuming and regularly dilute the samples to an unacceptable extent. By serially coupling columns in the order of their increasing retentivity and applying “multi-isocratic” elution mode, indeed any (arbitrary) selectivity can be attained. Moreover, if a protein peak is trapped at the inlet of a later column segment – of a coupled system -, its band will be refocused and elute in unprecedented sharp peak. Furthermore, it becomes possible to perform online on-column fractioning of protein species within a very short analysis time (∼ 1 min) and without sample dilution. Two-, three- or multiple column systems can be developed and applied for complex sample separations (such as antibody mixtures). This new methodology can be particularly useful to improve the analysis (and therefore, safety and quality) of therapeutic mAbs and related products and offers benefits compared to offline fractionating. It is also demonstrated in this proof of concept study, that methyl (C1) modified RP phase has a great potential for protein separations despite it is not commercially available in state-of-the-art wide pore superficially porous particle format..

Journal of Pharmaceutical and Biomedical Analysis · 2015

Establishing column batch repeatability according to Quality by Design (QbD) principles using modeling software

Norbert Rácz, Róbert Kormány, Jenő Fekete, Imre Molnár

Column technology needs further improvement even today. To get information of batch-to-batch repeatability, intelligent modeling software was applied. Twelve columns from the same production process, but from different batches were compared in this work. In this paper, the retention parameters of these columns with real life sample solutes were studied. The following parameters were selected for measurements: gradient time, temperature and pH. Based on calculated results, batch-to-batch repeatability of BEH columns was evaluated. Two parallel measurements on two columns from the same batch were performed to obtain information about the quality of packing. Calculating the average of individual working points at the highest critical resolution (Rs,crit) it was found that the robustness, calculated with a newly released robustness module, had a success rate >98% among the predicted 36=729 experiments for all 12 columns. With the help of retention modeling all substances could be separated independently from the batch and/or packing, using the same conditions, having high robustness of the experiments.

Journal of Pharmaceutical and Biomedical Analysis · 2020

A validated UHPLC-MS method for tryptophan metabolites: Application in the diagnosis of multiple sclerosis

Ferenc Tömösi, Gábor Kecskeméti, Edina Katalin Cseh, Elza Szabó, Cecília Rajda, Róbert Kormány, Zoltán Szabó, László Vécsei, Tamás Janáky

The simultaneous quantitative estimation of tryptophan (TRP) and its metabolites represents a great challenge because of their diverse chemical properties, e.g., presence of acidic, basic, and nonpolar functional groups and their immensely different concentrations in biological matrices. A short ultra high-performance liquid chromatography (UHPLC)–tandem mass spectrometry (MS/MS) method was validated for targeted analysis of TRP and its 11 most important metabolites derived via both kynurenine (KYN) and serotonin (SERO) pathways in human serum and cerebrospinal fluid (CSF): SERO, KYN, 3-hydroxyanthranilic acid, 5-hydroxyindoleacetic acid, anthranilic acid, kynurenic acid (KYNA), 3-hydroxykynurenine (3-HK), xanthurenic acid, melatonin, picolinic acid (PICA), and quinolinic acid (QUIN). After selecting the “best” reversed-phase column and organic modifier, DryLab®4 was used to optimize the gradient time and temperature in chromatographic separation. To achieve absolute quantification, deuterium-labeled internal standards were used. Among all compounds, 3 were analyzed in derivatized (butyl ester) forms (3-HK, PICA, and QUIN) and the remaining 9 in underivatized forms. Validation was performed in accordance with the ICH and FDA guidelines to determine the intraday and interday precision, accuracy, sensitivity, and recovery. To demonstrate the applicability of the developed UHPLC–MS/MS method, the aforementioned metabolites were analyzed in serum and CSF samples from patients with multiple sclerosis (multiple sclerosis group) and those with symptomatic or noninflammatory neurological diseases (control group). The concentration of QUIN dramatically increased, whereas that of KYNA slightly decreased in the multiple sclerosis group, resulting in a significantly increased QUIN/KYNA ratio and significantly decreased PICA/QUIN ratio.

Open Chemistry · 2012

Determination of lipophilicity for antitumor acridinone derivatives supported by gradient high-performance liquid chromatography method

Marcin Koba, Mariusz Belka, Tomasz Ciesielski, Tomasz Bączek

The lipophilicity values of selected acridinone (imidazoacridinone and triazoloacridinone) derivatives were measured by gradient reversed-phase high-performance liquid chromatography (RP-HPLC) using a C18 stationary phase with a water/acetonitrile mixture as a mobile phase. The retention times obtained served as input data and appropriate log kw values (i.e., the retention factor log kw extrapolated to 0% organic modifier) as an alternative to log P were calculated using the DryLab program. The relationships between the lipophilicity (log kw) and the chemical structure of the studied compounds, as well as correlation between experimentally determined lipophilicities (log kw) and log P data calculated using some commonly available software, are discussed.

Journal of Chromatography · 1991

Computer simulation as an aid in method development for gas chromatography: II. Changes in band spacing as a function of temperature

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

Several different samples and three stationary phases of varying polarity have been examined for changes in band spacing as a function of temperature. The results of these studies have been expressed as a relative variability in the temperature coefficients of retention (S) for adjacent bands. A theoretical analysis suggests that useful changes in band spacing vs. temperature (or heating rate) can be expected when the difference in S values (ΔS) for two bands is larger than 1 to 2%. The samples studied exhibited variations in average values of ΔS of 0.6–6%. This suggests that optimizing the (isothermal) temperature or (programmed) heating rate of a gas chromatographic separation will often be advantageous.

Journal of Chromatography A · 1999

Reversed-phase liquid chromatographic separation of complex samples by optimizing temperature and gradient time: II. Two-run assay procedures

J. W Dolan, L. R Snyder, N. M Djordjevic, D. W Hill, T. J Waeghe

By optimizing column temperature T and gradient time tG, complex samples can often be separated by means of reversed-phase high-performance liquid chromatography (RP-LC). Conclusions reached in Part I suggest that the complete separation of such samples will be difficult, however, when more than 15–20 components are present in the sample. An alternative approach is to carry out two separations with different conditions (T, tG) in each run. The combination of results from these two runs then allows the total analysis of the sample, providing that every sample component is adequately resolved in one run or the other. Examples of this approach, carried out by means of computer simulation, are shown here for several samples of varying complexity. Also considered is the ability of a single separation where T and tG are optimized to enable the separation and analysis of one or more individual sample components from complex mixtures (e.g., drugs in animal plasma), including the resolution of isomeric compounds from each other.

Journal of Chromatography A · 2013

Determination of alcohols in essential oils by liquid chromatography with ultraviolet detection after chromogenic derivatization

Juan Ródenas-Montano, Enrique J. Carrasco-Correa, Miriam Beneito-Cambra, Guillermo Ramis-Ramos, José Manuel Herrero-Martínez

An HPLC-UV method to determine compounds having a hydroxyl functional group in plant essential oils is developed. The sample is diluted with 1,4-dioxane and the analytes are derivatized with phthalic anhydride. The derivatives (phthalates hemiesters) are separated on a C8 column using an acetonitrile (ACN)/water gradient. Separation conditions were optimized using the DryLab® method development software. For the alcohols and phenols present in mint and rose essential oils, optimization led to a ca. 40min gradient time and a column temperature of 8°C. The alcohol and its derivatives were identified using HPLC with mass spectrometry (MS) detection. A large sensitivity enhancement was obtained by derivatization protocol. The HPLC-UV method was compared to GC with flame ionization detector (FID) and GC–MS. The limits of detection (LODs) obtained by the proposed method were better than those obtained by GC-FID and of the same order as those achieved by GC–MS. The three methods were satisfactorily applied to the determination of alcohols in essential oils. Therefore, the recommended method is of interest as an alternative to GC methods, to investigate the presence of compounds having an alcohol group at low concentrations in essential oils.