Literature

So far, more than 260 peer reviewed papers have been published on the application of DryLab – a complete list of which you can find here.

DryLab draws on the philosophy described in the three most famous Solvophobic Theory papers IIIIII of Csaba Horváth, which were developed in the years 1975-1977 at Yale University (see also literature by Dr. Imre Molnár).

Read more about the Fundamentals of DryLab and its History.

Keyword Year

Computer Simulation in HPLC: Making Multistep Gradients Practical

T.H. Jupille, J.W. Dolan, L.R. Snyder
Am. Lab., 20, 12, 20 (1988)

Application of principles of DryLab G.


Quantitative Determination of Limonin in Citrus Juices by HPLC Using Computerized Solvent Optimization

Philip E. Shaw, Charles W. Wilson III
J Chromatogr Sci, 26, 9, 478-481 (1988)

The commercially available computer program, DryLab, for optimization of separations by high-performance liquid chromatography (HPLC) using binary solvent mixtures is used to improve an HPLC method for separation of the bitter principle, limonin, in grapefruit and navel orange juices. Best conditions for separation of limonin in a reasonable time are 30 to 32% acetonitrile in water at 0.9 mL/min using a 5-μm C18 column 10 cm long. These conditions are used to analyze grapefruit and navel orange juice samples, and these HPLC results are compared with values determined by enzyme immunoassay or thin-layer chromatography (TLC) on the same samples.


Developing a Gradient Elution Method for Reversed-Phase HPLC

J.W. Dolan, L.R. Snyder
LC·GC, 5, 970 (1988)

Application of DryLab G method development strategy to a real sample.


Design of optimized high-performance liquid chromatographic gradients for the separation of either small or large molecules : III. An overall strategy and its application to several examples

B.F.D. Ghrist, L.R. Snyder
J. Chromatogr. A, 459, 43-63 (1988), DOI: 10.1016/S0021-9673(01)82016-1

http://www.sciencedirect.com/science/article/pi...

Recommendations are presented for an efficient approach to the design of optimized gradients for complex samples using computer simulation. Examples based on the separation of polyaromatic hydrocarbon and ribosomal protein mixtures are shown.


Solvent-strength selectivity in reversed-phase HPLC

L. R. Snyder, M. A. Quarry, J. L. Glajch
Chromatographia, 24, 1, 33-44 (1988), DOI: 10.1007/BF02688465

Keywords: Retention optimization, Solvent-strength selectivity

http://link.springer.com/article/10.1007/BF0268...

Solvent-strength selectivity refers to the variation of band spacing by changing the %-organic in the mobile phase (ion-pair or reversed-phase HPLC). A review of the literature has been combined with new experimental data to illustrate the general potential of this approach for HPLC optimization. It appears that most samples exhibit significant changes in band spacing method development based on solvent-strength optimization plus computer simulation (DryLab software) are given for illustration. For relatively simple mixtures (10 or fewer components), it appears that solvent-strength optimization compares favorably with other methods such as mapping the organic-solvent selectivity of methanol, acetonitrile, tetrahydrofuran, and water.


Computer simulation as a means of developing an optimized reversed-phase gradient-elution separation

J. W. Dolan, L. R. Snyder, M. A. Quarry
Chromatographia, 24, 1, 261-276 (1987), DOI: 10.1007/BF02688488

Keywords: Gradient elution, Reversed-phase, Method development, Computer simulation, Retention prediction

http://link.springer.com/article/10.1007/BF0268...

A personal-computer program (DryLab G) is described for the simulation of reversed-phase gradient-elution separations. After two experimental gradient runs are carried out initially, this program allows the user to develop a final separation by varying gradient conditions (gradient time, initial and final %-organic in the mobile phase, gradient shape), column dimensions, flowrate and particle size. This approach takes advantage of “solvent-strength selectivity”, as reported recently [28] for isocratic separations. Method development using this procedure can result in better separations with much less effort. Examples of its validation and application are presented.

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