J. Planar Chromatogr. 3, 144-148 (1990). Study of RM versus solvent composition relationships with 16 binary eluents composed of four diluents (heptane, chloroform, dichloromethane, trichloroethylene) and four modifiers (ethyl acetate, MEK, ether, diisopropyl ether) for 57 aromatic solutes (azaarenes, anilines, phenols, phenolic acids and their derivatives). Linear RM versus logCmod plots were obtained in almost all of the above cases, permitting storage of the data in computer memory.

J. Planar Chromatogr. 4, 442-445 (1991). Presentation of a method for the computer-assisted selection of multicomponent solvent systems for the separation of multicomponent solvent systems for the separation of a synthetic product of unknown composition by HPTLC. The method is based on recognition of the order of the spots by comparison of spot area percent, followed by design of the solvent mixture by a statistical optimization method. Excellent agreement has been obtained between predicted data and experimental results.

J. Planar Chromatogr. 8, 205-215 (1995). Investigation of adsorption liquid chromatography with alcohol - hydrocarbon binary eluents. A selection of the interpretative methods have been considered, and their practical usefulness compared when implemented with the commonly accepted Soczewinski equation and with the alternative nonlinear relationship. On the basis of a comparison of experimental and the computed results, conclusions are drawn about the efficiency of the individual interpretative methods and of the two „theoretical“ approaches.

J. Planar Chromatogr. 12, 13-25 (1999). Use of the solvation parameter model to derive system maps for methanol, 2-propanol, 2,2,2-trifluoroethanol, acetonitrile, N,N-dimethylformamide, and acetone binary mobile phase components in water on RP-18. Interpretation of the system constants provides an explanation of solvent selectivity in terms of fundamental intermolecular interactions and changes in the phase ratio. Excellent agreement between predicted and experimental Rf values which highlights the strong potential for this new method of computer-aided method development in reversed phase chromatography.

J. Chromatogr. A 1218 (19), 2712-2721 (2011). Presentation of a guidance on how to adopt international accepted formal requirements and guidelines for validation of different TLC/HPTLC procedures. Analytical validation is a key requirement to asses and to prove a method's reliability and suitability for intended different applications, ranging from simple screening tests to sophisticated instrumental quantitative assays of analytes in complex matrices. In addition description of selected parameters for robustness testing and for on-going quality assurance of analytical performance based on control charts.

Desaga offprint Thin-layer Chromatography, Heidelberg, 1-4 (1994). Parameters to validate a method are listed and explained like purity of reagents/reference substances/solvents, identity testing, specificity, linearity, precision, trueness, detection resp. determination limits, sensitivity and ruggedness.

TrAC 21, 468-486 (2002). The article describes the valuable lessons learned from EU while funding a method-validation project (1996-2000) to meet European mycotoxin control in foodstuffs. It shows the performance characteristics of validated and official methods for aflatoxins, the selection and development of methods for validation, and the preparation of naturally contaminated mycotoxin test materials for validation studies. The authors put special emphasis on validation of TLC methods for mycotoxins for developing countries, as the main exporters to Europe of food and food products.

Acta Chromatographica 22 (2), 267-279 (2010), DOI:10.1556/AChrom.22.2010.2.9. Presentation of a general equation for modeling retention, using the organic modifier content of the mobile phase, which is based on the Box-Cox transform of modifier concentration. Both the semilogarithmic relationship (Soczewinski-Wachtmeister equation) and logarithmic relationship (Snyder-Soczewinski equation) are found to be special cases of the proposed equation. The equation can be fitted easily with free software and an additional coefficient can be interpreted as closeness to the previous models. The equation enables extrapolation to zero modifier content even with strong closeness to log-log dependence. Discussion of a case study on nine drug-like substances, with comparison of 14 previously proposed retention equations found in the literature.