The Molnar-Institute for Applied Chromatography has launched an eBook, Digital Analytical Procedure Development: Past, Present, and Future, published by LCGC International, a global communications portal for the separation sciences.
The eBook provides a guide to modern separation science based on high-performance liquid chromatography (HPLC), according to the organisation.
Modernising HPLC method development through computer modelling
Over the past 60 years, liquid chromatography has evolved from Csaba Horváth’s 1964 high-pressure system into modern UHPLC operating at up to 15,000 PSI. Advanced columns and low-dispersion systems now make complex gradient separations routine. However, method development remains a time-consuming challenge – especially for modern combination drugs and biopharmaceuticals like monoclonal antibodies, antibody-drug conjugates and oligonucleotides.
To overcome these challenges, laboratories increasingly rely on HPLC computer modeling to optimize separations, build robust analytical procedures, boost productivity, and reduce resource consumption.
This eBook offers a scientific perspective on the evolution of HPLC and its current landscape, demonstrating through several practical examples how fundamental chromatographic theories support HPLC modeling in achieving fast and smooth method development.
Invention of HPLC
Starting from the catastrophic drug safety failures like the thalidomide (Contergan) tragedy in the 1960s, the Introduction tells the fascinating story of how high-performance liquid chromatography (HPLC) redefined analytical science. It highlights how HPLC arrived where it is today through the pioneering work of four key scientists: István Halász, Csaba Horváth, Lloyd R. Snyder, and Imre Molnár. Their passion for scientific understanding drove HPLC from a high-pressure experiment into the foundational analytical framework that enables today’s life sciences.
At West Germany’s Saarland University, István Halász established a pioneering program that trained scientists to develop liquid chromatography analytical procedures capable and reliable enough for routine industrial use. Across the Atlantic at Yale University, Csaba Horváth used his chemical engineering expertise to develop a high-pressure liquid chromatograph with defined flow, defined packing, and controllable operating parameters – marking the invention of the first modern HPLC instrument.
Expanding HPLC into new domains
Horváth also defined the two HPLC operating elution modes, isocratic and gradient, that marked chromatography’s shift from trial-and-error practice to a science-driven, parameterized process. In isocratic elution, mobile-phase strength stays constant for the entire run, whereas in gradient elution mobile-phase strength increases over time according to a programmed profile – giving the analyst precise control over selectivity, resolution results and run time.
In 1975, Csaba Horváth recruited Imre Molnár, a young analytical chemist who had completed his PhD under István Halász at Saarland University. Horváth and Molnár shared a vision of expanding HPLC into entirely new domains, such as protein separations. In 1977, they reported groundbreaking reversed-phase HPLC separations of amino acids and peptides on bonded non-polar phases. This served as proof that peptide-level information could be read directly in the liquid phase with practical resolution and run times – opening the way for future peptide mapping and today’s biopharmaceutical characterization.
From predictive relationships to DryLab
The last link in the chain came in the early 1980s, when Csaba Horváth introduced Imre Molnár to Lloyd R. Snyder, who had built the intellectual scaffolding for modern LC with his «Principles of Adsorption Chromatography» (1968) that established solvent-strength, band-broadening, and nonionic interactions as quantitative parameters, and «Introduction to Separation Science» (1973), that placed liquid chromatography inside a coherent framework of separation mechanisms.
Snyder’s technical trademarks were turning raw data into predictive relationships and insisting on practical and useable models, such as the solvent-selectivity triangle and linear-solvent-strength relationships.
Under Snyder’s influences and core discipline of reducing problems to their essentials, the DryLab team developed the first software edition in 1986 as a computerized modeling environment for HPLC method development.
The Drylab virtual laboratory
As the name suggests, DryLab enables users to construct “dry” virtual laboratory experiments, using “wet” LC only to run a structured, minimal set of input runs alongside model-predicted verification experiments. This ability to explore optimal conditions in software has saved immense time and resources by eliminating hundreds of traditional trial-and-error runs. Under this approach, gradient profile, temperature, pH, buffer system, and column chemistry are treated as integrated coordinates in an explicit Design Space, rather than isolated local settings. Since then, DryLab® has evolved in various ways:
- Multidimensional modeling:Introduced simultaneous gradient-time × temperature (tG-T) modeling in 1996, followed by expanding optimization into multiple gradient-time × temperature × pH and gradient-time × temperature × ternary composition dimensions (2008).
- Quantitative robustness assessment and risk management tool:Added tolerance levels and risk-evaluation to quantify and ensure long-term method stability before moving to routine use (2012).
- System-level Design Space Comparison:Allowed the alignment of various column chemistries, stationary phase batches, pH and buffer systems, and instrument-to-instrument variability to make method transfer completely predictable (from 2017).
“DryLab tackles all three by using disciplined gradient design, by mapping method behavior as a Design Space rather than one setpoint, and by quantifying robustness before validation by using full-factorial “what-if” analysis across tG, T, pH, flow, %B-start/end), for example”. Imre Molnár further explains “This converts «keep it stable» into explicit tolerances and a concrete control strategy”.
Further information at: http://www.molnar-institute.com/
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