http://academic.oup.com/milmed/article-pdf/146/7/506/24126715/milmed-146-7-506.pdf

Goodman and Gilman's The Pharmacological Basis of Therapeutics

State-of-the-art in design rules for drug delivery platforms: Lessons learned from FDA-approved nanomedicines

Quantitative structure-(chromatographic) retention relationships.

Antioxidant activity in banana peel extracts: Testing extraction conditions and related bioactive compounds

Metabolomics aims to identify the changes in endogenous metabolites of biological systems in response to intrinsic and extrinsic factors. This is accomplished through untargeted, semi-targeted and targeted based approaches. Untargeted and semi-targeted methods are typically applied in hypothesis-generating investigations (aimed at measuring as many metabolites as possible), while targeted approaches analyze a relatively smaller subset of biochemically important and relevant metabolites. Regardless of approach, it is well recognized amongst the metabolomics community that gas chromatography-mass spectrometry (GC–MS) is one of the most efficient, reproducible and well used analytical platforms for metabolomics research. This is due to the robust, reproducible and selective nature of the technique, as well as the large number of well-established libraries of both commercial and ‘in house’ metabolite databases available. This review provides an overview of developments in GC–MS based metabolomics applications, with a focus on sample preparation and preservation techniques. A number of chemical derivatization (in-time, in-liner, offline and microwave assisted) techniques are also discussed. Electron impact ionization and a summary of alternate mass analyzers are highlighted, along with a number of recently reported new GC columns suited for metabolomics. Lastly, multidimensional GC–MS and its application in environmental and biomedical research is presented, along with the importance of bioinformatics. The purpose of this review is to both highlight and provide an update on GC–MS analytical techniques that are common in metabolomics studies. Specific emphasis is given to the key steps within the GC–MS workflow that those new to this field need to be aware of and the common pitfalls that should be looked out for when starting in this area.

Review of recent developments in GC-MS approaches to metabolomics-based research.

Amino acids are very important organic compounds in nature. The biological activity of amino acids depends mainly on their stereoisomeric configuration (d- or l-). Thus, the stereochemical analysis of amino acids and peptides is an important aspect of their characterization. Owing to the increasing role of amino acid configuration in biomedical and pharmaceutical studies, numerous analytical methods have been described in the literature. Among a wide range of analytical techniques available for the steroselective separation of different amino acids, which were obtained from plants or biological samples, chromatographic methods such as thin-layer chromatography, high-performance chromatography and also gas chromatography are very useful. This review presents such systems developed for direct stereoisomeric separation and quantitative determination of amino acid and peptide enantiomers with emphasis on selected literature published during two last decades. Almost all aspects, including sample preparation prior chromatographic analysis, stationary phase, solvent system and detection system, are discussed. New possibilities in chiral amino acid analysis have been opened up by the application of mass spectrometry and infrared detection in thin-layer chromatography and mass spectrometry-selected ion monitoring detection system in gas chromatography. A modern trend in high-performance chromatography is two-dimensional chromatography. These innovations have led to decreased development time and increased amino acid resolution and detectability.

Application of TLC, HPLC and GC methods to the study of amino acid and peptide enantiomers: a review.

Chromatographic separation of tocopherols

Hundred ninety three drugs of different pharmacological activity were studied. Lipophilicity of a drug is one of the parameters, which influence its biological activity. The n-octanol-water partition coefficients were calculated for these compounds by use of different theoretical procedures (AlogPs, IAlogP, miLogP, ClogP, logP(Kowwin), and xlogP). Particular theoretical partition coefficients were compared with experimental n-octanol-water partition coefficients (logP(exp)) for all studied drugs. It was shown that experimental partition coefficients correlate the best with theoretical partition coefficients calculated by use of logP(Kowwin) and AlogPs methods. It was shown that it exists the possibility of the prediction of experimental n-octanol-water partition coefficients on the basis of logP(Kowwin), AlogPs, and ClogP for fifteen drugs (adrenalin, clobazam, 5,5-dimethylbarbituric acid, ethyl nicotinate, fluphenazine, ibuprofen, methyllorazepam, pimozide, prednisolone, promethazine, spironolactone, surital, theophylline, triamterene, and trimethoprim).

/pdf/a-comparison-of-theoretical-methods-of-calculation-of-42ks01hfbl.pdf

A comparison of theoretical methods of calculation of partition coefficients for selected drugs.

This review presents various chromatographic systems, TLC, HPLC, GC, and also SFC, developed for identification and accurate quantification of long-chain mono- and polyunsaturated fatty acids from different samples with emphasis on selected literature which was published during last decade. Almost all the aspects such as preseparation step of fatty acids (cis and trans), stationary phase, solvent system, and detection mode are discussed.

/pdf/chromatographic-methods-in-the-separation-of-long-chain-mono-2cebbihlnf.pdf

Chromatographic Methods in the Separation of Long-Chain Mono- and Polyunsaturated Fatty Acids

Monolinuron, chlortoluron, diuron, isoproturon, linuron, diflubenzuron, dimefuron, teflubenzuron, and lufenuron have been chromatographed on an RP-HPLC column and on RP-HPTLC plates with methanol–water in different volume proportions as mobile phases. The retention values log k, and RM were extrapolated to zero methanol content. Chromatographic lipophilicities (log kw, RMw, φo(HPLC), and φo (TLC)) were compared with measured (log Pexp) partition coefficients and with values (A log Ps, IA log P, C log P, log PKowin, and x log P) calculated by use of five different software products. The most significant correlations were found between the chromatographic lipophilicities and C log P values. Satisfactory linear correlation was also obtained between lipophilicity (log kw, RMw) and the valence Gutman index (M
 ν
 ).

Alina Pyka

Papers

Application of TLC, HPLC and GC methods to the study of amino acid and peptide enantiomers: a review.

Chromatographic separation of tocopherols

A comparison of theoretical methods of calculation of partition coefficients for selected drugs.

Chromatographic Methods in the Separation of Long-Chain Mono- and Polyunsaturated Fatty Acids

Chromatographic evaluation of the lipophilic properties of selected pesticides