Retention In Reversed-phase Liquid Chromatography Research Articles

The Solvation Shell of Small Solutes in Aqueous-Organic Solvent Mixtures and Its Implications for Reversed-Phase Liquid Chromatography.

Reversed-phase liquid chromatography (RPLC) operates with water-organic solvent (W-OS) mobile phases where preferential solvation (PS) of solutes is likely. To investigate the relevance of the solute solvation shell in the mobile phase for RPLC retention, we combine data from molecular dynamics simulations of small, neutral solutes (six analytes and two dead time markers) in W-methanol (MeOH) and W-acetonitrile (ACN) mixtures with corresponding retention data obtained on an RPLC column over a wide range of W/OS ratios. Data derived from Kirkwood-Buff integrals show PS by the OS for analytes vs low or negative PS for dead time markers. W-ACN mixtures generate a higher amount of PS than W-MeOH mixtures, which contributes to the higher eluent strength of ACN in RPLC. Difference spatial distribution functions reveal anisotropic solvation shells with OS excess at hydrocarbon elements and W excess at functional groups, predicting that retention by the hydrophobic stationary phase is favored by hydrocarbon elements and limited by functional groups. Analysis of solute-solvent hydrogen bonds pinpoints the hydrogen-bond requirements toward W as the retention-limiting factor. The relation between the solute solvation shell and retention confirms the importance of W-OS and solute-W hydrogen bonding for RPLC retention.

Revised descriptors for polycyclic aromatic and related hydrocarbons for the prediction of environmental properties using the solvation parameter model

Revised descriptors for twenty-five polycyclic aromatic and related hydrocarbons (PAHs) forming a component of the Wayne State University (WSU) descriptor database are provided for use with the solvation parameter model. The descriptors are determined by the Solver method using experimental data for calibrated gas-liquid and reversed-phase liquid chromatographic retention factors and liquid-liquid partition constants in totally organic biphasic systems. The characteristic solvation properties of the PAHs are accounted for mainly by the additional dispersion interactions (E descriptor) and dipole-type interactions (S descriptor) resulting from the availability of easily polarizable electrons that complement typical dispersion interactions for saturated hydrocarbons. The descriptors afford acceptable prediction of the water-air partition constant (average absolute deviation AAD = 0.17, n = 22), octanol-air partition constant (AAD = 0.12, n = 20), and water-octanol partition constant (AAD = 0.10, n = 23). A two-parameter model containing only the V and B descriptors provides an unbiased prediction of aqueous solubility for the PAHs with an AAD = 0.26 (n = 22). The descriptors estimated by convenient chromatographic and partition constant measurements are demonstrated to be a viable alternative to the experimental determination of environmental properties otherwise only available by tedious, expensive, and low data throughput experimental techniques.

Comparison of ZIC-HILIC Columns for the Simultaneous Analysis of Antiviral Drugs in Dosage Forms by Hydrophilic Interaction Liquid Chromatography

Background:: Antiviral drugs are vital since many viruses can produce fatal infections, as we have recently seen with the COVID-19 pandemic. Antiviral drugs can battle viruses at multiple stages of their life cycles, including neuraminidase, nucleic acid synthesis, protease, and virion fusion or entry [1]. Objective:: Antiviral drugs have poor retention in reversed-phase liquid chromatography, which makes it difficult to analyze a mixture of antiviral medications using high-performance liquid chromatography. Using zwitterionic hydrophilic interaction liquid chromatography (ZICHILIC), the paper highlights the simultaneous quantification of three antiviral drugs as active constituents in pharmaceutical formulations. Moreover, the influence of the length of the spacer between the two charges in two stationary phases on the retention behavior of antiviral drugs has been discussed. Methods:: Two homemade stationary phases (ZIC1-HILIC and ZIC5-HILIC) were utilized for the qualitative and quantitative analysis of three antiviral drugs, and UV was used as the detector. Several chromatographic conditions were examined, such as the organic modifier concentration, buffer concentration, and pH value. Results:: After optimizing the parameters, the devised method was applied to analyse three antiviral medications quantitatively. The initial results demonstrated the current procedure for separating and determining these three antiviral drugs to be sensitive, robust, and effective. Consequently, the present method has shown excellent repeatability, a broad linear range (0.1- 16.5 μgml-1), and excellent sensitivity (LOD 0.04-0.072 μgml-1). The RSD value of the method was less than 1. Conclusion:: A mixed mode of hydrophilic and ion exchange interactions was the predominant mode of antiviral medications with two ZIC-HILIC stationary phases. The ZIC5-HILIC stationary phase had a lower detection and limit of quantitation for three antiviral drugs and a prolonged retention time compared to the ZIC1-HILIC stationary phase with a shorter chain length.

Surface-bubble-modulated liquid chromatography: an experimental strategy for identification of molecular processes of solute retention in reversed-phase separation systems.

Molecular level understanding of the chemistry at the aqueous/hydrophobe interface is crucial to separation processes in aqueous media, such as reversed-phase liquid chromatography (RPLC) and solid-phase extraction (SPE). Despite significant advances in our knowledge of the solute retention mechanism in these reversed-phase systems, direct observation of the behavior of molecules and ions at the interface in reversed-phase systems still remains a major challenge and experimental probing techniques that provide the spatial information of the distribution of molecules and ions are required. This review addresses surface-bubble-modulated liquid chromatography (SBMLC), which has a stationary gas phase in a column packed with hydrophobic porous materials and enables one to observe the molecular distribution in the heterogeneous reversed-phase systems consisting of the bulk liquid phase, the interfacial liquid layer, and the hydrophobic materials. The distribution coefficients of organic compounds referring to their accumulations onto the interface of alkyl- and phenyl-hexyl-bonded silica particles exposed to water or acetonitrile-water and into the bonded layers from the bulk liquid phase are determined by SBMLC. The experimental data obtained by SBMLC show that the water/hydrophobe interface exhibits an accumulation selectivity for organic compounds, which is quite different from that of the interior of the bonded chain layer, and the overall separation selectivity of the reversed-phase systems is determined by the relative sizes of the aqueous/hydrophobe interface and the hydrophobe. The solvent composition and the thickness of the interfacial liquid layer formed on octadecyl-bonded (C18) silica surfaces are also estimated from the bulk liquid phase volume determined by the ion partition method employing small inorganic ions as probes. It is clarified that various hydrophilic organic compounds as well as inorganic ions recognize the interfacial liquid layer formed on the C18-bonded silica surfaces as being different from the bulk liquid phase. The behavior of some solute compounds exhibiting substantially weak retention in RPLC or the so-called negative adsorption, such as urea, sugars, and inorganic ions, can rationally be interpreted with a partition between the bulk liquid phase and the interfacial liquid layer. The spatial distribution of solute molecules and the structural properties of the solvent layer on the C18-bonded layer determined by the liquid chromatographic methods are discussed in comparison to the results obtained by other research groups using molecular simulation methods.

Prediction of surface excess adsorption and retention factors in reversed-phase liquid chromatography from molecular dynamics simulations

An alternative method to the classical fit of semi-empirical, statistical, or artificial intelligence-based models to retention data is proposed to predict surface excess adsorption and retention factors in liquid chromatography. The approach is based on a fundamental, microscopic description of the liquid-to-solid adsorption of analytes taking place at the interface between a bulk liquid phase and a solid surface. Molecular dynamics (MD) simulations are performed at T=300 K in a 100 Å wide slit-pore model (β-cristobalite-C18 surface in contact with an acetonitrile/water mobile phase) to quantify a priori the retention factors of small molecules expected in reversed phase liquid chromatography (RPLC). Uracil is chosen as the reference “non-retained” marker, whereas benzyl alcohol, acetophenone, benzene, and ethylbenzene are four selected retained, neutral compounds. The MD simulations allow to determine the pore-level density profiles of these five compounds, i.e., the variation of the analyte concentration as a function of distance from the silica surface. The retention factors of the retained analytes are expressed using their respective calculated surface excess adsorption relative to uracil. By definition, the retention factors are proportional to the surface excess adsorbed and the proportionality constant is directly scaled to the retention time of the “non-retained” marker. Experimentally, a 4.6 mm × 150 mm RPLC-C18 column packed with 5 μm 100 Å High Strength Silica (HSS)-C18 particles is used and the retention times of these five compounds are measured. The volume fraction of acetonitrile in water increases from 20 to 90% generating a wide range of retention factors from 0.15 to 183 at T=300 K. The results demonstrate very good agreement between the MD-predicted surface excess adsorption data and measured retention factors (R2> 0.985). A systematic error is observed as the proportionality constant is not exactly scaled to the retention time of uracil. This is most likely caused by the differences between the chemical and morphological features of the slit-pore model adopted in the MD simulations and those of the actual HSS-C18 particles: the average surface coverage with C18 chains, the geometry of the mesopores, and the pore size distribution. Specifically, the impact on RPLC retention of slight, local variations in surface chemistry (e.g., functional group density and uniformity) and how this aspect is affected by the pore space morphology (e.g., pore curvature and size) is worth investigating by future MD simulations.

Characterization of the Interfacial Liquid Layer Formed on Hydrophobic Packing Material Surfaces by Liquid Chromatographic Analysis of the Distribution of Ions and Molecules.

We determine the bulk liquid phase volumes in octadecyl-bonded silica (C18 silica) columns equilibrated with acetonitrile–water and methanol–water (0–19%(v/v)) binary mixed solvents by a liquid chromatographic method with inorganic ions used as probes. The solvent composition and the thickness of the interfacial liquid layer formed on the C18-bonded silica surface are then determined from the bulk liquid phase volume, the total liquid phase volume, the surface area of the C18 silica packing material, and the retention volumes of the isotopically labeled eluent components for the columns. We used two C18 silica packing materials having identical bonding structures but different pore sizes and surface areas. Our results show that various hydrophilic organic compounds as well as inorganic ions recognize the interfacial liquid layer as being different from the bulk phase. The behavior of the solute compounds exhibiting substantially weak retention in reversed-phase liquid chromatography or the so-called negative adsorption, such as urea, sugars, and inorganic ions, can rationally be interpreted with a partition between the bulk liquid phase and the interfacial solvation liquid layer. The structural properties of the solvent layer on the C18-bonded layer determined by liquid chromatography are consistent with the molecular dynamics simulation results that have been obtained by other researchers.

Predicting reversed-phase liquid chromatographic retention times of pesticides by deep neural networks

To be able to predict reversed phase liquid chromatographic (RPLC) retention times of contaminants is an asset in order to solve food contamination issues. The development of quantitative structure–retention relationship models (QSRR) requires selection of the best molecular descriptors and machine-learning algorithms. In the present work, two main approaches have been tested and compared, one based on an extensive literature review to select the best set of molecular descriptors (16), and a second with diverse strategies in order to select among 1545 molecular descriptors (MD), 16 MD. In both cases, a deep neural network (DNN) were optimized through a gridsearch.

Comparison of in-silico modelling and reversed-phase liquid chromatographic retention on an octadecyl silica column to predict skin permeability of pharmaceutical and cosmetic compounds

This study focuses on the in-silico modelling of the skin permeability using a test set of pharmaceutical and cosmetic compounds. Two sets of theoretical molecular descriptors, obtained from the E-Dragon and Vega ZZ software programs, were used in the models. Different linear regression methods, i.e. Multiple Linear Regression (MLR) and Partial Least Squares (PLS) regression, were applied for modelling and estimating the skin permeability. The best model was obtained using a stepwise MLR approach on the E-Dragon descriptor set. In a second step, the retention of the test set compounds was measured on a C18 column at two pH levels: pH 5.5 and pH 7. Different organic-modifier fractions were applied in the mobile phase to be able to extrapolate the retention factors to a log kw value, with kw the estimated retention factor in an aqueous mobile phase without organic modifier. Thereafter it was examined whether combining this chromatographic descriptor with the theoretical descriptors could improve the modelling of the skin permeability. The chromatographic descriptor often did not show an added value compared to the models containing only theoretical descriptors. Therefore, the in-silico models were preferred, and these models could be useful to predict the skin permeability of pharmaceutical and cosmetic compounds.

[Preparation and chromatographic properties of 1-vinyl-3-dodecylimidazole bromide silica-bonded stationary phase].

As the main components of cell membranes, lipids play important roles in organisms. Lipids have been proved to be closely associated with the occurrence and development of serious diseases, such as cancers and metabolic diseases. The development of novel separation materials for use in high-performance liquid chromatography (HPLC) is essential for high-efficiency lipid separation. Such materials can promote further in-depth research of the structure and biological functions of lipids. In this study, we focused on the preparation of an ionic-liquid-modified silica-bonded HPLC stationary phase and on its chromatographic retention mechanisms and separation performances for lipids. An imidazolium-based ionic liquid with C12 side chain, viz. 1-vinyl-3-dodecylimidazole bromide (VDI), has shown good biocompatibility and has previously been used for the solubilization of membrane proteins. Thus, VDI was first exploited as the functionalized monomer for the HPLC stationary phase. It was grafted onto the surface of thiol-functionalized silica spheres by a one-step click reaction to afford a new VDI silica-bonded stationary phase (Sil-VDI). Fourier-transform infrared (FT-IR)spectroscopy and thermogravimetric analysis were used to prove the successful preparation of Sil-VDI and characterize its structure. The chromatographic retention properties of the column packed with Sil-VDI was first studied using hydrophobic alkylbenzenes. The results showed that the Sil-VDI column was a typical reversed-phase liquid chromatography retention column. Since Sil-VDI has a permanent cationic imidazole structure, it should demonstrate anion exchange retention. Thus, inorganic anions BrO3-, NO3-, and IO3- were selected to further investigate the retention mechanism of the Sil-VDI column. The results demonstrate that the Sil-VDI column also possesses ion-exchange retention mode. Thus, the Sil-VDI column has typical reversed-phase and ion-exchange mixed-mode retention characteristics. Based on the reversed-phase retention characteristics of the Sil-VDI column, hydrophobic alkylbenzenes, polycyclic aromatic hydrocarbons (PAHs), basic anilines, and benzene derivatives were selected for testing the HPLC separation performances of the Sil-VDI column. The results demonstrate that this new column gave good separation selectivity with good peak shapes. For example, PAHs like diphenyl, o-terphenyl, m-terphenyl, and triphenylene were used to investigate the chromatographic performances of the Sil-VDI column. These four PAHs were baseline separated within 7 min with good peak shapes. In addition, the positional isomers o-terphenyl and m-terphenyl show good separation efficiency, with resolution as high as 3.26. Based on the ion-exchange retention characteristics of the Sil-VDI column, inorganic anions BrO3-, NO3-, and IO3- were selected to test the separation performance of the column for ionic compounds. Using 250 mmol/L KCl solution (pH 4.1) as the mobile phase, baseline separation of the three anions was achieved within 6 min. These results demonstrate that the Sil-VDI column has good potential for separation of ionic compounds. The separation performance of the Sil-VDI column was further verified based on the separation of lipids extracted from egg yolk and lung adenocarcinoma cells. Six main chromatographic peaks could be recognized within 7 and 5 min for the lipids extracted from lung adenocarcinoma cells and egg yolk, respectively. These results primarily demonstrate that the Sil-VDI column has good potential for the separation of lipid samples. In conclusion, a new ionic-liquid-based Sil-VDI stationary phase material was successfully fabricated via a simple synthesis method. The Sil-VDI column shows good separation performances for versatile samples. In future, further research will be performed on the separation ability of the Sil-VDI column for different biological samples.

LC-QTOF-MS Presumptive Identification of Synthetic Cannabinoids without Reference Chromatographic Retention/Mass Spectral Information. I. Reversed-Phase Retention Time QSPR Prediction as an Aid to Identification of New/Unknown Compounds.

The application of Quantitative Structure-Property Relationship (QSPR) modeling to the prediction of reversed-phase liquid chromatography retention behavior of synthetic cannabinoids (SC), and its use in aiding the untargeted identification of unknown SC are described in this paper. 1D, 2D molecular descriptors and fingerprints of 105 SC were calculated with PaDEL-Descriptor, selected with Boruta algorithm in R environment, and used to build-up a multiple linear regression model able to predict retention times, relative to JWH-018 N-pentanoic acid-d5 as internal standard, under the following conditions: Agilent ZORBAX Eclipse Plus C18 (100 mm × 2.1 mm I.D., 1.8 μm) column with Phenomenex SecurityGuard Ultra cartridge (C18, 10 mm × 2.1 mm I.D., < 2 μm) kept at 50°C; gradient elution with 5-mM ammonium formate buffer (pH 4 with formic acid) and acetonitrile with 0.01% formic acid, flow rate 0.5 mL/min. The model was validated by repeated k-fold cross-validation using two-thirds of the compounds as training set and one-third as test set (Q2 0.8593; root mean squared error, 0.087, ca. 0.56 min; mean absolute error, 0.060) and by predicting relative Retention Times (rRT) of 5 SC left completely out of the modeling study. Application of the model in routine work showed its capacity to discriminate isomers, to identify unexpected SC in combination with mass spectral information, and to reduce the length of the list of candidate isomers to ca. one-third, thus reducing significantly the time required for predicting high-resolution product ion spectra to be compared to the unknown using a computational Mass Spectrometry (MS) search/identification approach.

Characterization of nitrogen-containing compounds in petroleum fractions by online reversed-phase liquid chromatography-electrospray ionization Orbitrap mass spectrometry

Characterization of heteroatom compounds in crude oils is very important in petroleum production and processing. The ultrahigh-resolution Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) is a powerful MS technique for it but with expensive costs. It is necessary to develop a generally accepted alternative analytical approach to replace FT-ICR MS. In this study, a reversed-phase liquid chromatography (RPLC)-high-resolution (HR) MS method was proposed on an Orbitrap MS with electrospray ionization (ESI). The optimal chromatographic and MS parameters and internal mass calibration method were suggested. The sample complexity was greatly reduced by RPLC separation. Mass resolution (240 K at m/z 200) of Orbitrap MS was enough to obtain an accurate elemental assignment in complex petroleum fractions. False-positive element composition assignment could be easily excluded by the RPLC retention behavior of isomers. The performance of RPLC-Orbitrap MS was evaluated in comparison with direct injection (DI)-FT-ICR MS and DI-Orbitrap MS in positive ion mode for heavy oil analysis. The results showed that heteroatom class species, DBE vs carbon number distributions were very similar between RPLC-Orbitrap MS and DI-FT-ICR MS. The developed methods were further used to analyze petroleum oil fractions with boiling ranges at 180–350 °C, 350–530 °C and >530 °C. Detailed heteroatom class species and corresponding DBE vs carbon number distributions were obtained. This study demonstrated that the RPLC-Orbitrap MS technique could successfully be applied for heteroatom compound characterization in petroleum fractions.

Direct HPLC enantioseparation of chemopreventive chiral isothiocyanates sulforaphane and iberin on immobilized amylose-based chiral stationary phases under normal-phase, polar organic and aqueous conditions

Sulforaphane and iberin are promising chemopreventive chiral phytochemicals. The chirality of these organic isothiocyanates is due to the presence of a stereogenic sulfur atom. Investigations of the effectiveness of single enantiomers as chemoprotective agents highlight the key role played by sulfur chirality on biological activity. The predominant native (R)-enantiomer is active whereas the (S)-counterpart is inactive or poorly active.Here, we provide an enantioselective method for the direct and complete resolution of both chiral sulfoxides by high-performance liquid chromatography on immobilized amylose-derived chiral stationary phases. A set of five different columns was investigated utilizing normal-phase, polar organic and aqueous conditions. The effect of the composition of mobile phase on enantioselectivity and retention was carefully evaluated.U-shape retention maps, which are indicative of a double and competitive hydrophilic interaction liquid chromatography and reversed-phase liquid chromatography retention mechanism, were established by recording the retention factors of the enantiomers of sulforaphane on the Chiralpak IA-3 and Chiralpak IG-3 chiral stationary phases varying progressively the water content in the water-acetonitrile mobile phases.

Wayne State University experimental descriptor database for use with the solvation parameter model

The solvation parameter model is a well established quantitative structure-property relationship model suitable for describing the contribution of intermolecular interactions in a wide range of separation, chemical, biological and environmental processes. The model employs six descriptors for neutral compounds to describe their capability to interact with their environment of which only one, McGowan's characteristic volume (V) is available by calculation for compounds with a known structure. The other five descriptors are derived from experimental data, the refractive index at 20 °C for the excess molar refraction (E), at least for liquids, and the dipolarity/polarizability (S), hydrogen-bond acidity or basicity (A and B) and gas-liquid partition constant on n-hexadecane at 25 °C (L) typically from chromatographic measurements using gas, liquid or micellar electrokinetic chromatography, liquid-liquid partition, or solubility. In this article a descriptor database is assembled utilizing gas and reversed-phase liquid chromatography retention factors and liquid-liquid partition constants determined in a single laboratory to facilitate control over the experimental techniques employed together with a general set of selection tools to identify systems likely to result in unreliable experimental values for specific compounds. The assembled descriptors for a wide range of varied compounds are expected to be more robust for characterizing separation systems than those currently in use.

Ready for TDM: Simultaneous quantification of amikacin, vancomycin and creatinine in human plasma employing ultra-performance liquid chromatography-tandem mass spectrometry

BackgroundAmikacin (AMI) and vancomycin (VAN) are antibiotics largely used in intensive care in the empiric treatment of severe infections by multi-resistant gram-negative and gram-positive bacteria. AMI and VAN are eliminated untransformed by glomerular filtration, showing depuration ratio highly correlated with creatinine (CRE) clearance. AMI, VAN and CRE are highly polar structures, presenting poor retention in reversed-phase liquid chromatography when using conventional stationary phases. ObjectiveThis study aimed to develop and validate a simple UPLC-MS/MS method for simultaneous determination of AMI, VAN, and CRE in human plasma for therapeutic drug monitoring. ResultsSamples were prepared by protein precipitation, followed by dilution. Heptafluorobutyric acid (HFBA) was added to the mobile phase at low concentration (0.01%), and separation was performed in an ultra-performance reversed-phase column (particle diameter of 1.8 μm). These conditions allowed retention times of 0.92, 0.93, 2.12, 2.17 and 2.27 min for CRE, CRE-D3, AMI, KAN and VAN, respectively. The assay was linear from 0.5 to 100 mg L−1 for AMI and VAN and 5 to 100 mg L−1. Precision, accuracy and stability assays were acceptable according to bioanalytical validation guidelines. Suitable results. Matrix effects were in the range of +10.5 to +11.6% for AMI, −4.3 to −4.5% for VAN, and − 1.7 to +0.7 for CRE. ConclusionThe first assay for the simultaneous determination of AMI, VAN and CRE in plasma by liquid chromatography-tandem mass spectrometry was reported. This assay allows the obtention of the necessary analytical data for the clinical application of population pharmacokinetic methods for therapeutic drug monitoring of AMI and VAN.

Influence of the acid-base ionization of drugs in their retention in reversed-phase liquid chromatography

The effect of the ionization in the RP-HPLC retention of 66 acid-base compounds, most of them drugs of pharmaceutical interest, is studied. The retention time of the compounds can be related to the pH measured in the mobile phase (pwsH) through the sigmoidal equations derived from distribution of the neutral and ionic forms of the drug into the stationary and mobile phases. Fitting of the obtained retention vs. pH profiles provides the retention times of the ionic and neutral forms and the pKa values of the drugs in the mobile phase (pwsKa).The obtained pwsKa values are linearly correlated to the pKa values in water (pwwKa) with two different correlations, one for neutral acids and another for neutral bases that reflect the different influence of the dielectric constant of the medium in ionization of acids and bases. The retention of the neutral species is well correlated to the octanol-water partition coefficient of the drugs as measure of the lipophilicity of the drug, which affects chromatographic retention. Also, the retention time of the ionized forms is related to the retention time of the neutral forms by two different linear correlations, one for anions and the other for cations. These last correlations point out the different retention behaviour of anions and cations: anions are less retained than cations of the same lipophilicity, as measured by the octanol-water partition coefficient of the neutral form.The different retention behaviour of anionic, cationic and neutral forms is confirmed by the hold-up times obtained from different approaches: pycnometry and retention times of anionic (KBr and KI) and neutral (DMSO) markers. Hold-up times obtained by pycnometric measurements agree with those obtained by retention of neutral markers (0.83–0.85 min), whereas hold-up time for anions is mobile phase pH dependent. At acidic pH it is similar to the hold-up time for neutral markers (0.83 min), but then it decreases with the increase of mobile phase pH to 0.65 min at pH 11. The decrease can be explained by the ionization of the silanols of the column and exclusion of anions by charge repulsion. Although not directly measured, the obtained retention data and correlations indicate hold-up time for cations are similar or slightly lower than hold-up time for neutral compounds (0.77–0.83 min).The model proposed and the correlations obtained can be very useful for its implementation in retention prediction algorithms for optimization of separation purposes.

Evaluation of three temperature- and mobile phase-dependent retention models for reversed-phase liquid chromatographic retention and apparent retention enthalpy

Predicting retention and enthalpy allows for the simulation and optimization of advanced chromatographic techniques including gradient separations, temperature-assisted solute focusing, multidimensional liquid chromatography, and solvent focusing. In this paper we explore the fits of three expressions for retention as a function of mobile phase composition and temperature to retention data of 101 small molecules in reversed phase liquid chromatography. The three retention equations investigated are those by Neue and Kuss (NK) and two different equations by Pappa-Louisi et al., one based on a partition model (PL-P) and one based on an adsorption model (PL-A). More than 25 000 retention factors were determined for 101 small molecules under various mobile phase and temperature conditions. The pure experimental uncertainty is very small, approximately 0.22% uncertainty in retention factors measured on the same day (2.1% when performed on different days). Each of the three equations for ln(k) was fit to the experimental data based on a least-squares approach and the results were analyzed using lack-of-fit residuals. The PL-A model, while complex, gives the best overall fits. In addition to examining the equations’ adequacy for retention, we also examined their use for apparent retention enthalpy. This enthalpy can be predicted by taking the derivative of these expressions with respect to the inverse of absolute temperature. The numerical values of the fitted parameters based on retention data can then be used to predict retention enthalpy. These enthalpy predictions were compared to those obtained from a modified van ‘t Hoff equation that included a quadratic term in inverse temperature. Based on analysis of 1 211 van ‘t Hoff plots (solute-mobile phase-day combinations), ninety-eight percent showed a significantly better fit when using the modified van ‘t Hoff expression, justifying its use to provide apparent enthalpies as a function of mobile phase composition and temperature. The foregoing apparent enthalpies were compared to the apparent enthalpies predicted by the three models. The PL-A model, which contains a temperature dependent enthalpy, provided the best enthalpy prediction. However, there is virtually no correlation between the overall lack of fit to experimental ln(k) for each model and the corresponding lack of fit of the linear (in 1/T) van ‘t Hoff expression. Thus, the temperature-dependent enthalpy is apparently not the cause of a model’s ability to fit ln(k) as a function of mobile phase composition and temperature. The value in these expressions is their ability to predict chromatograms, allowing for optimization of an advanced chromatographic technique. The two simpler models NK and PL-P, which do not contain a temperature dependent enthalpy, have their merits in modelling retention (NK being the better of the two) and enthalpy (PL-P being the better of the two) if a simpler expression is required for a given application.

Deep Profiling of Immunosuppressive Glycosphingolipids and Sphingomyelins in Wild Cordyceps

Deep profiling of glycosphingolipids and sphingomyelins in wild Cordyceps was carried out by using offline chromatographic enrichment followed by ultrahigh performance liquid chromatography-ultrahigh definition-quadrupole time-of-flight mass spectrometry (UHPLC-UHD-Q-TOF-MS). A total of 119 glycosphingolipids (72 new ones) and 87 sphingomyelins (43 new ones) were identified from wild Cordyceps on the basis of the accurate mass and MS/MS fragmentations, isotope patterns, sphingolipid (SPL) database matching, confirmation by SPL standards, and the reversed-phase liquid chromatographic retention rule. This study is the most comprehensive report on the identification of glycosphingolipids and sphingomyelins from fungus. A subsequent lipopolysaccharide-induced mouse splenic lymphocyte proliferation assay showed that the Cordyceps glycosphingolipid fraction exhibits higher immunosuppressive activity compared to that of Cordyceps sphingomyelins. Our findings provided insight into the chemical diversity of sphingolipids in Cordyceps and chemical evidence for the therapeutic application of wild Cordyceps.

Characterization of stationary phases based on monosubstituted benzene retention indices using correspondence factor analysis and linear solvation energy relationships in RPLC

In reversed-phase liquid chromatography (RPLC), the comparison of experimental results obtained from different columns is a complex problem. A correspondence factor analysis (CFA) and a linear solvation energy relationship (LSER) were applied on retention data to characterize second-order intermolecular interactions responsible for retention on a set of RPLC columns. Seven octadecyl-C18 columns with different packing materials are obtained from different manufacturers and one octyl-C8 column. The retention data were determined under isocratic conditions using a methanol–water (65:35, v/v) mobile phase. The chromatographic retention indices based on alkan-2-ones and alkyl aryl ketones retention index scales are calculated using a multiparametric least-squares regressions iterative method. The CFA and LSER results permitted to highlight that the retention indices were appropriate for studying the second-order retention mechanisms on the eight chromatographic systems investigated and exhibited the best reproducibility. Although many earlier studies have reported the use of chemometric methods to characterize chemical factors affecting retention in RPLC using retention factors as retention parameters, this is the first study based on retention indices.

RePLiCal: A QconCAT Protein for Retention Time Standardization in Proteomics Studies.

This study introduces a new reversed-phase liquid chromatography retention time (RT) standard, RePLiCal (Reversed-phase liquid chromatography calibrant), produced using QconCAT technology. The synthetic protein contains 27 lysine-terminating calibrant peptides, meaning that the same complement of standards can be generated using either Lys-C or trypsin-based digestion protocols. RePLiCal was designed such that each constituent peptide is unique with respect to all eukaryotic proteomes, thereby enabling integration into a wide range of proteomic analyses. RePLiCal has been benchmarked against three commercially available peptide RT standard kits and outperforms all in terms of LC gradient coverage. RePLiCal also provides a higher number of calibrant points for chromatographic retention time standardization and normalization. The standard provides stable RTs over long analysis times and can be readily transferred between different LC gradients and nUHPLC instruments. Moreover, RePLiCal can be used to predict RTs for other peptides in a timely manner. Furthermore, it is shown that RePLiCal can be used effectively to evaluate trapping column performance for nUHPLC instruments using trap-elute configurations, to optimize gradients to maximize peptide and protein identification rates, and to recalibrate the m/z scale of mass spectrometry data post-acquisition.

Dependence of reversed-phase liquid chromatographic retention for aripiprazole and some related chemical impurities on the main elution parameters

ABSTRACTThe present study focuses on the chromatographic behavior of a novel atypical antipsychotic drug, aripiprazole, and its five chemical related impurities. The experiments were performed on a Zorbax SB-C18 column (150 mm × 4.6 mm, 5 µm particle size), whereas the detection was provided by an UV-Vis DAD detector set at 254 nm. The influences of the organic modifier, column temperature, and the pH of the mobile phase on the retention of the six compounds were studied. From these dependences some molecular descriptors and thermodynamic parameters that are important in drug characterization were evaluated. Also, the effect of two different acids added to the mobile phase (phosphoric acid and trifluoroacetic acid) on the retention behavior for chosen compounds was studied.