Different Senecio species, especially S. inaequidens - a neophyte native to South Africa - have widely spread across Europe and now are found worldwide. The entire genus is known to contain toxic pyrrolizidine alkaloids (PAs), which renders them a possible health hazard to humans and livestock. As they can enter the food chain or occur as contaminants in herbal crops and phytopharmaceutical formulations (e.g. teas), efficient and straightforward assays for their qualitative and quantitative analysis are in high demand. Different techniques have been used for this purpose, most commonly HPLC or GC. As the analysis of PAs is a challenging task, alternative methodologies like ultra-high performance SFC (UHPSFC) may offer an additional benefit in terms of their separation efficiency and orthogonal selectivity. In this study an UHPSFC approach for the simultaneous determination of six PAs (free bases as well as N-oxides) is presented, which achieved the baseline separation of all standard compounds in seven min. Optimal separation was carried out in gradient mode on a Torus™ DEA column with 0.05% ammonia in methanol as modifier. The column temperature was 25 °C, ABPR 1900 psi and flow rate 1.1 mL/min, with a detection wavelength of 215 nm. The assay was validated and fulfilled all ICH criteria exhibiting good linearity (R2 ≥ 0.9994), precision (inter-day variance ≤ 3.67%, intra-day variance ≤ 3.92%) and recovery rates (96.3-104.1%), with detection limits typical for SFC-PDA (≤ 4.24 µg/mL). Furthermore, it could conveniently be coupled to MS-detection, which increased the sensitivity significantly. To confirm practical suitability of the method, different Senecio samples were analyzed, indicating a high qualitative as well as quantitative difference in their PA profile (e.g. total amounts of PA between 0.09 and 4.63 mg/g).

Lipidomic analysis of biological samples in a clinical research represents challenging task for analytical methods given by the large number of samples and their extreme complexity. In this work, we compare direct infusion (DI) and chromatography - mass spectrometry (MS) lipidomic approaches represented by three analytical methods in terms of comprehensiveness, sample throughput, and validation results for the lipidomic analysis of biological samples represented by tumor tissue, surrounding normal tissue, plasma, and erythrocytes of kidney cancer patients. Methods are compared in one laboratory using the identical analytical protocol to ensure comparable conditions. Ultrahigh-performance liquid chromatography/MS (UHPLC/MS) method in hydrophilic interaction liquid chromatography mode and DI-MS method are used for this comparison as the most widely used methods for the lipidomic analysis together with ultrahigh-performance supercritical fluid chromatography/MS (UHPSFC/MS) method showing promising results in metabolomics analyses. The nontargeted analysis of pooled samples is performed using all tested methods and 610 lipid species within 23 lipid classes are identified. DI method provides the most comprehensive results due to identification of some polar lipid classes, which are not identified by UHPLC and UHPSFC methods. On the other hand, UHPSFC method provides an excellent sensitivity for less polar lipid classes and the highest sample throughput within 10min method time. The sample consumption of DI method is 125 times higher than for other methods, while only 40μL of organic solvent is used for one sample analysis compared to 3.5mL and 4.9mL in case of UHPLC and UHPSFC methods, respectively. Methods are validated for the quantitative lipidomic analysis of plasma samples with one internal standard for each lipid class. Results show applicability of all tested methods for the lipidomic analysis of biological samples depending on the analysis requirements.

This paper focuses on the possibility to inject large volumes (up to 10μL) in ultra-high performance supercritical fluid chromatography (UHPSFC) under generic gradient conditions. Several injection and method parameters have been individually evaluated (i.e. analyte concentration, injection volume, initial percentage of co-solvent in the gradient, nature of the weak needle wash solvent, nature of the sample diluent, nature of the column and of the analyte). The most critical parameters were further investigated using in a multivariate approach. The overall results suggested that several aprotic solvents including methyl tert-butyl ether (MTBE), dichloromethane, acetonitrile or cyclopentyl methyl ether (CPME) were well adapted for the injection of large volume in UHPSFC, while MeOH was generally the worst alternative. However, the nature of the stationary phase also had a strong impact and some of these diluents did not perform equally on each column. This was due to the existence of a competition in the adsorption of the analyte and the diluent on the stationary phase. This observation introduced the idea that the sample diluent should not only be chosen according to the analyte but also to the column chemistry to limit the interactions between the diluent and the ligands. Other important characteristics of the \"ideal\" SFC sample diluent were finally highlighted. Aprotic solvents with low viscosity are preferable to avoid strong solvent effects and viscous fingering, respectively. In the end, the authors suggest that the choice of the sample diluent should be part of the method development, as a function of the analyte and the selected stationary phase.

The utility of diode array ultraviolet (UV) detection for aiding in the identification of synthetic cathinones, including different sub-classes and positional isomers is presented. For 35 synthetic cathinones, unique UV spectra are obtained for seven sub-classes, including mostly beta ketones, where position and type of substitution on benzene rings give rise to differences in UV maxima and relative intensity of the spectral bands. This aspect is key to distinguishing positional isomers that contain differences in R substitution (mono and di) around the benzene ring, which provides complementary information to electron ionization mass spectrometry, where the latter technique cannot distinguish between these types of positional isomers. In addition, it is possible to ascertain the substitution position based on the UV spectra. For ten sets of positional isomers, it was possible to distinguish most of the positional isomers within a set. For ultra-high performance supercritical fluid chromatography (UHPSFC) versus reversed phase ultra-high performance liquid chromatography (UHPLC), there was at least a 10 nm blue shift in UV maximum (shift to shorter wavelengths). This highlights the importance of taking in account the effect of mobile phase on the UV maximum when performing method development in UHPSFC. Copyright © 2017 John Wiley & Sons, Ltd.

Agomelatine is one of the newest antidepressants. Due to a different mechanism of action it offers a completely new approach in the treatment of depressive disorders. Two chromatographic methods for determination of agomelatine and its impurities were developed. The separations on UHPSFC system were accomplished using stationary phase based on BEH 2-EP and gradient elution with CO2 and methanol containing 20mM ammonium formate and 5% of water. The UHPLC separations were performed on stationary phase BEH Shield RP18. The mixture of acetonitrile and methanol in ratio 1:1 and ammonium acetate buffer pH 9.5 were used as mobile phase. Both developed methods were properly validated in terms of linearity, sensitivity (LOD, LOQ), accuracy and precision according to ICH guidelines. The UHPSFC method was linear in the range 0.25-70μg/ml for all analytes with method accuracy ≥97.4% and ≥100.2% and method intra-day precision RSD ≤2.4 and ≤0.8 for impurities and API (active pharmaceutical ingredient), respectively. The UHPLC method was linear in the range 0.1-10μg/ml for all analytes except three impurities for which the linear range was larger 0.1-25μg/ml. Method accuracy ≥95.7% and ≥95.2% and method intra-day precision RSD ≤2.6 and ≤1.5 were found for impurities and API, respectively. The measurement of tablet samples was performed and the selected parameters of the methods were compared. In conclusion, both methods were appropriate for the determination of agomelatine and its impurities in pharmaceutical quality control (QC), although the UHPSFC method was found as more convenient especially in the method development phase. The advantages of newly developed UHPSFC-PDA (photo diode array detector) method were its environmental friendliness due to the mobile phase used, a very good resolution, selectivity and high speed of analysis (total time of separation was 4.1min).

Similar to reversed phase liquid chromatography, basic compounds can be highly challenging to analyze by supercritical fluid chromatography (SFC), as they tend to exhibit poor peak shape, especially those with high pKa values. In this study, three new stationary phase ligand chemistries available in sub -2 μm particle sizes, namely 2-picolylamine (2-PIC), 1-aminoanthracene (1-AA) and diethylamine (DEA), were tested in SFC conditions for the analysis of basic drugs. Due to the basic properties of these ligands, it is expected that the repulsive forces may improve peak shape of basic substances, similarly to the widely used 2-ethypyridine (2-EP) phase. However, among the 38 tested basic drugs, less of 10% displayed Gaussian peaks (asymmetry between 0.8 and 1.4) using pure CO2/methanol on these phases. The addition of 10mM ammonium formate as mobile phase additive, drastically improved peak shapes and increased this proportion to 67% on 2-PIC. Introducing the additive in the injection solvent rather than in the organic modifier, gave acceptable results for 2-PIC only, with 31% of Gaussian peaks with an average asymmetry of 1.89 for the 38 selected basic drugs. These columns were also compared to hybrid silica (BEH), DIOL and 2-EP stationary phases, commonly employed in SFC. These phases commonly exhibit alternative retention and selectivity. In the end, the two most interesting ligands used as complementary columns were 2-PIC and BEH, as they provided suitable peak shapes for the basic drugs and almost orthogonal selectivities.

In the last few years, there has been a resurgence of supercritical fluid chromatography (SFC), which has been stimulated by the introduction of a new generation of instruments and columns from the main providers of chromatographic instrumentation, that are strongly committed to advancing the technology. The known limitations of SFC, such as weak UV sensitivity, limited reliability and poor quantitative performance have been mostly tackled with these advanced instruments. In addition, due to the obvious benefits of SFC in terms of kinetic performance and its complementarity to LC, advanced packed-column SFC represents today an additional strategy in the toolbox of the analytical scientist, which may be particularly interesting in pharmaceutical analysis. In the present review, the instrumentation and experimental conditions (i.e. stationary phase chemistry and dimensions, mobile phase nature, pressure and temperature) to perform \"advanced SFC\" are discussed. The applicability of SFC in pharmaceutical analysis, including the determination of drugs in formulations and biofluids is critically discussed.

The multi-modal retention mechanism in supercritical fluid chromatography (SFC) results in a non-linear dependency of log(k) on the fraction of organic solvent φ and log(φ). In the present study, the possibility of retention modeling for method development purposes in SFC was investigated, considering several non-linear isocratic relationships. Therefore, both isocratic and gradient runs were performed, involving different column chemistries and analytes possessing diverse physico-chemical properties. The isocratic retention data of these compounds could be described accurately using the non-linear retention models typically used in HILIC and reversed-phase LC. The interconversion between isocratic and gradient retention data was found to be less straightforward than in RPLC and HILIC because of pressure effects. The possibility of gradient predictions using gradient scouting runs to estimate the retention parameters was investigated as well, showing that predictions for other gradients with the same starting conditions were acceptable (always below 5%), whereas prediction errors for gradients with a different starting condition were found to be highly dependent on the compound. The second part of the study consisted of the gradient optimization of two pharmaceutical mixtures (one involving atorvastatin and four related impurities, and one involving a 16 components mixture including eight drugs and their main phase I metabolites). This could be done via individual retention modeling based on gradient scouting runs. The best linear gradient was found via a grid search and the best multi-segment gradient via the previously published one-segment-per-component search. The latter improved the resolution between the critical pairs for both mixtures, while still giving accurate prediction errors (using the same starting concentrations as the gradient scouting runs used to build the model). The optimized separations were found in less than 3 h and 8 h of analysis time (including equilibration times), respectively.