5 Critical Capabilities for Chemicals and Materials Innovation
The article outlines five essential capabilities—formula/components management, experiment planning, process capture, sample testing, and data analysis—required for effective chemicals and materials R&D, emphasizing that while companies often use multiple specialized systems that hinder data integration and collaboration, a single, robust, and flexible lab platform that blurs traditional boundaries between ELN, LIMS, and SDMS can support these diverse workflows and enhance innovation through data interoperability and workflow flexibility.
Can One ELN System or Material Testing LIMS Fully Support Chemicals & Materials Data-Driven R&D?
Building an R&D infrastructure to support chemicals and materials innovation is not an easy task. Chemicals and materials workflows and data types are not as standardizable as those often seen in the life sciences. However, even across specialty companies creating diverse products and formulations, there are some broad consistencies. Five consistent needs, or workflow steps, stand out:
- 1.Formula/Components Management
- 2.Experiment Planning
- 3.Process Capture
- 4.Sample Testing
- 5.Data Analysis
In many cases, companies rely on several different specialty systems to meet these needs, which can isolate data, slow workflows, and hamper collaboration. A single lab platform can support all these core needs if it is robust and flexible enough.
Blurring the Lines Between LIMS, ELN, and SDMS
An open and agnostic R&D platform that prioritizes both data interoperability and workflow flexibility can help teams address these core needs, facilitating collaborative innovation without constraining the scope of research initiatives.
1. Formula/Components Management
R&D teams must assess and manage the components of the chemicals or materials they are developing. Ingredient management is essential, requiring solutions that record batch information and physical properties (such as density, pH, or domain-specific properties), as well as supplier details, cost, origin-traceability data, inventory levels and locations, and approvals for new ingredients or hazardous materials.
2. Experiment Planning
Researchers need to plan experiments by building upon previous experiences. This includes deciding how many different materials to produce or formulate, how many samples of each are required, the time points for sample collection, and the quantities of materials to allocate. Accurate accounting is necessary to verify adherence to designs and to specify any deviations.
3. Process Capture
After planning, scientists execute the experiment, using the designed ingredients to create new materials. It is crucial to track the materials used and capture the process—how materials are mixed, shook, heated, cooled, filtered, or otherwise manipulated. Without a clear record of the process, outcomes can be inconsistent, irreproducible, and less likely to meet required properties.
4. Sample Testing
Approximately 80% of decisions in Chemical and Materials R&D are based on insights from linking structural properties to test data. Researchers must connect samples to their specific formulations and have tools to manage samples, log and track analysis requests, capture results, and search for and display sample, test, and result data in actionable ways.
5. Data Analysis
Collating data from previous steps is essential for data-driven innovation and is a precursor to leveraging AI and machine learning for product improvement. Teams must handle large varieties and volumes of cross-domain data, establish a single source of truth, and enable researchers across groups and locations to share data and insights while using their preferred workflows and specialty tools. Keeping data interoperable and FAIR is essential for powerful data querying, analysis, and application in R&D.
A Unified Chemicals and Materials Solution
By supporting each of these five core needs, a unified platform can remove the burden of maintaining numerous single-purpose systems and facilitate data exchange. This simplifies IT infrastructure and provides a complete and flexible solution to help Chemicals and Materials R&D teams create data-driven workflows.
In future discussions, further exploration will be given to how such platforms facilitate diverse Make-Test-Decide workflows in Chemicals and Materials Science Lab Experiments.
Next Steps
Learn more about how integrated R&D solutions help organizations combine existing data sources and implement workflows that support complex R&D processes.
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