Dynochem Biologics
Bioprocess Simulation Software
Dynochem Biologics™ is a fit-for-purpose simulation software to support bioprocessing upstream and downstream unit operations at any scale. Bioprocess engineers and scientists utilize the software to determine suitable process operating conditions and obtain equivalence across scales. Utilities allow rapid assessment of equipment performance using minimal data while more powerful models leverage your existing data streams for process characterization. Responsive support from application experts backed by extensive training materials and a readymade model library allows rapid progress with initial projects. Applications range across all modalities including peptides, mAbs, vaccines, and viral vectors.
Robust at Any Scale
Leverage models to understand the impact of critical process parameters on key quality attributes at multiple scales.
For example, ensure equivalent mixing performance between shake flasks, wave bags, ambr™ 15 reactors, and production bioreactors.
Mixing calculation tools help scale from common lab-scale reactors to large-scale biologics reactors.
Ready-to-Use Model Library
Dynochem Biologics Resources provides a full library of models for common upstream and downstream operations. The easy-to-use interface coupled with training from modeling experts enables roll-out to a wide user base.
Dynochem Biologics template models include:
- Bioreactor Mixing Toolbox
- Fed-Batch Fermentation
- Dissolution and Solution Preparation
- Buffer Preparatio...
Leverage PAT Data
Process analytical technology (PAT) is a manufacturing methodology for high-value chemicals and pharmaceuticals.
Critical parameters (CPPs) and key performance indicators (KPIs) of the process are thoroughly understood, well-defined, and continually monitored in order to ensure that the pre-defined critical quality attributes (CQA) of the final product are consistently achieved.
Lifecycle Digital Twins
Data from process analytical technology (PAT) enables detailed models, making it possible to design and analyze fewer high-quality experiments to characterize and successfully scale your bioprocess system.
- Deploy models to predict performance
- Find optimal operating conditions
- Optimize yield and drive innovation
- Reduce the number of experiments by running variations and testing new process equipment in-silico
Access to Full Knowledge Base
With Dynochem Biologics, you get access to our full Knowledge Base with a wealth of content including:
- Template models
- Training material
- Guidance documents
- Hundreds of peer-reviewed journal articles using Scale-up Suite tools for modeling success
Free training sessions are also available so you get the most out of your software.
Dynochem Biologics FAQs
What does Dynochem Biologics software do?
Dynochem Biologics captures decades of knowledge of fluid mixing knowledge and contains an integrated database of your equipment to perform rapid and accurate mixing assessments, including mass transfer, mixing time, power input, and shear. Users can also characterize equipment using their own data.
For upstream applications, users can characterize and optimize cell growth, nutrient uptake, titer, and metabolite concentration, including oxygen transfer, carbon dioxide stripping, and pH level.
For downstream applications, users can develop custom models or choose from the library covering harvest, depth filtration, chromatography, viral inactivation, TFF, UF/DF (including gel polarization), and lyophilization.
Similar tools are included for ancillary operations such as media and buffer preparation operations.
Why is this bioprocessing software valuable?
Predict, optimize and scale critical unit operations using digital twins that leverage your process and analytical data, and combine it with institutional knowledge. For example:
- Ensure correct selection of agitation conditions and gas flow rates to achieve the required oxygen transfer rate (OTR) at any scale
- Predict glucose concentrations and feeding strategies to optimize viable cell count; use models predictively to develop control strategy and at-line to ensure process robustness
- Predict cycle times / diavolumes needed in UF, DF, and up-concentration operations, including buffer fraction; anticipate changes due to membrane module vendor and scale; ensure adequate agitation in the product collection vessel
- Predict appropriate addition rates and mixing conditions to ensure correct pH during virus inactivation to ensure successful inactivation while limiting protein denaturation and aggregation risk
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