Power Your Bioprocessing Purification

Streamline your downstream purification data workflow

Purification processes are difficult – don‘t let your data add complexity

Downstream purification, used to specify the function, structure and interactions of an entity of interest is not a simple task. The purification of proteins and other complex molecules, such as recombinant viruses, is a key element in bioprocessing and includes monitoring every step of the purification scheme for purification levels and yield.

This complex process includes data from different sources that include chromatography data systems (CDS). When data workflows are manual, data transfer is cumbersome and tasks like annotating peak information lowers scientific productivity. The use of proprietary data formats also hampers comparing data from runs across projects and instances and deriving meaningful insights.

Data accessible

Save hours per week and eliminate errors with automatically centralized and easily accessible purification data

Repeat Science Icon

Reuse all your purification data with any informatics or analytics application of your choice

Accelerate Research

Analyze purification data to correlate process parameters to outcomes and to develop and optimize processes

Purification before

Challenges laboratories face with bioprocessing purification processes

Difficulty comparing across runs

Scattered data across multiple locations must be manually transferred and aggregated to overlay and compare multiple chromatograms

Manual transfer and transcription

Moving results and method data to an ELN and LIMS is time consuming and error prone

Cannot correlate results with process parameters

Data is not enriched with metadata, making it difficult to correlate critical quality attributes with process parameters, instrument usage, and consumable usage

Purification with Tetrascience

Built for science

The Tetra Scientific Data Cloud™ automatically collects, centralizes, and democratizes all Fast Protein Liquid Chromatography (FPLC) data. It engineers the data into a standard, reusable format, and automatically transfers data to downstream visualization and informatics tools. Scientists, Scientific Data Engineers, and Data Scientists can access and interact with the data in applications of their choice, saving time and effort interacting with their data.

Converted into engineered Tetra Data, teams have the ability to develop optimization-based, data-driven models for optimal purification strategies in the manufacturing process of biomolecules.

Data can be used to troubleshoot and optimize processes locally as well as to support enterprise-wide coordination and optimization to scale production. Downstream bioprocessing will generate more high-quality protein products in less time than a traditional purification workflow.

Using the TetraScience self-service data science application, our scientists can identify best purification strategies, scout flow rates, or conduct system suitability tests in no time.

Eric, Global IT Director
Alexion Pharmaceuticals

Expediting Alexion’s Rare Disease Protein Therapeutics Pipeline

Development scientists at Alexion Pharmaceuticals, a global pharmaceutical company delivering transformative treatments for rare diseases, have leveraged Tetra Data Platform to optimize protein purification processes by expediting manual data input and automating time-consuming instrumental processes. Read our case study to learn more about Alexion's results.

Read Case Study

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