{"id":1869,"date":"2025-11-17T11:34:29","date_gmt":"2025-11-17T11:34:29","guid":{"rendered":"https:\/\/chromocan.test\/service\/process-modeling\/"},"modified":"2026-05-07T14:11:05","modified_gmt":"2026-05-07T12:11:05","slug":"process-modeling","status":"publish","type":"service","link":"https:\/\/www.chromacon.com\/en\/services\/process-modeling\/","title":{"rendered":"Process Modeling"},"content":{"rendered":"
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\n PROCESS MODELING <\/p>\n \n

\n Explore More Parameter Space. With Fewer Experiments<\/strong>\n <\/h1>\n \n
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Mechanistic modeling for batch, MCSGP, and CaptureSMB\u00ae. Calibrated mechanistic models built from your existing batch chromatography data \u2014 used to simulate, optimize, and de-risk processes computationally. Faster development, more robust design space.<\/p>\n <\/div>\n <\/div>\n\n

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\n Test More. Run Less <\/h2>\n \n
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Every chromatography development campaign faces the same tradeoff: thoroughness vs. time. Experimentally screening operating conditions, testing robustness, or generating data for regulatory submissions takes column time, material, and analytical effort.<\/p>\n

YMC ChromaCon’s process modeling services change the equation. We build calibrated mechanistic models from batch chromatography data you already have \u2014 from any HPLC or FPLC system \u2014 and use them to simulate process performance across a wide range of conditions. The result is faster process development, better-informed decisions, and stronger regulatory documentation, whether your goal is to optimize a batch process, evaluate MCSGP continuous polishing, or design a CaptureSMB\u00ae continuous capture step.<\/p>\n

Our process modeling services are available to pharmaceutical and biotechnology companies worldwide.<\/p>\n <\/div>\n \n <\/div>\n\n

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\n What Modeling Gives You <\/h2>\n \n
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Save time in process development<\/strong> The model explores parameter space computationally \u2014 in hours rather than weeks \u2014 reducing the number of experimental runs needed to reach an optimal operating point.<\/p>\n

Optimize performance and robustness<\/strong> Identify operating parameters that maximize yield and productivity at your target purity. Then test robustness by simulating realistic parameter variations \u2014 so you know how your process behaves before you run it.<\/p>\n

Define the design space<\/strong> Map the region of operating parameters where your process meets specification. For continuous processes, evaluate the impact of AutoPeak\u00ae or AutomAb\u00ae dynamic control on the operating envelope. Directly relevant for regulatory submissions and process characterization.<\/p>\n

Support scale-up<\/strong> Use modeling results to generate scale-up parameters and scenarios for transfer from the Contichrom\u00ae CUBE to PILOT or TWIN production systems \u2014 or between any column dimensions.<\/p>\n <\/div>\n \n <\/div>\n\n

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\n Batch Chromatography Modeling <\/h3>\n \n

\n A calibrated mechanistic model of your separation, built from gradient batch runs with fraction analysis. The model lets you simulate the effect of operating parameters \u2014 gradient slope, load, column dimensions, mobile phase composition \u2014 on separation performance without running additional experiments. Use it to optimize your batch process, screen conditions computationally, support scale-up decisions, or build process understanding for regulatory documentation.
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\n MCSGP Continuous Polishing \u2014 Modeling & Optimization <\/h3>\n \n

\n Building on a calibrated batch model, we simulate MCSGP performance and compare it to your existing batch polishing process. The service is structured in two stages: a feasibility study (Stage 1) that predicts MCSGP performance and generates scale-up parameters, and an optimization study (Stage 2) that systematically optimizes operating parameters, evaluates robustness, and maps the design space with and without AutoPeak\u00ae dynamic control. <\/p>\n \n \n <\/div>\n\n<\/div>\n\n <\/div><\/section><\/div>\n\n\n\n

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\n CaptureSMB\u00ae Continuous Capture \u2014 Modeling & Optimization <\/h3>\n \n

\n Analogous to the MCSGP service, we model your CaptureSMB\u00ae capture step using breakthrough curve data and mechanistic modeling. The service predicts continuous capture performance, evaluates the impact of AutomAb\u00ae dynamic loading control, and provides optimized operating parameters and scale-up scenarios. Available for affinity and bind-elute capture processes. <\/p>\n \n \n <\/div>\n\n<\/div>\n\n <\/div><\/section><\/div>\n<\/div>\n\n\n

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Service Details<\/h2>\n <\/div>\n \n
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