Confidently Transfer Methods from Lab to Lab—Without the Guesswork

Chromatographic methods are essential for separating and analyzing complex mixtures, underpinning critical processes in research and development. But developing methods that hold up under slight changes (like shifts in temperature or flow rate) can take a lot of time and effort. As collaboration across departments and global sites increases, successfully transferring methods between different teams and setups has become a common and sometimes tricky part of the job.

Different instruments, software, or hardware—columns, detectors, or entire chromatography systems—can all impact how a method performs. For successful method transfer, it needs to deliver consistent, reliable results no matter where or how it’s run.

ACD/Labs’ Method Selection Suite™ simplifies the development and transfer of robust chromatographic methods. It enables scientists to evaluate and optimize methods with minimal manual effort, ensuring reliable performance regardless of where or how the method is implemented.

Take the Guesswork Out of Method Transfer

Before handing off a chromatographic method to another lab, it’s important to know how well it will perform under different conditions. The vary method parameters feature in Method Selection Suite automatically generates new methods by tweaking selected parameters, either individually or in combination. This helps teams understand how those changes might affect separation and identify potential risks before transfer happens.

Chromatograms and resolution maps make the outcomes easy to visualize, so scientists can quickly see how shifts in parameters impact separation quality. If performance differences emerge during method transfer, users can distinguish whether it’s due to a critical method tweak or something outside their control—saving time and avoiding unnecessary troubleshooting.

See What’s Working (and What’s Not) with Visualization and Prediction

Visualization tools like resolution maps and chromatogram overlays help identify the most robust conditions for optimal separation. Comparing experimental results with predicted outcomes can quickly identify problematic parameter changes and apply targeted adjustments, improving method resilience. 

Keep Everyone on the Same Page with Centralized Data Management

All the key method details—chromatograms, parameter changes, retention times, metadata etc.—are stored in a searchable database. This means teams across different labs, departments, or sites can access the same data and insights—making collaboration smoother and preventing duplication of work. 

Confident Transfers, Every Time 

With predictive tools, robust testing, and centralized data in one place, Method Selection Suite helps ensure methods transfer smoothly and perform consistently—no matter the setup. Scientists can fine-tune and safeguard their methods, ensuring reproducibility and performance—ultimately accelerating development timelines and improving confidence in analytical results.