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Developing and Optimizing LC and GC Methods

Software tools help you develop chromatographic methods faster and more reliably. Optimize your methods and find conditions that stand the test of time.

Chromatographic Data Handling Supports Quality Method Development

Chromatographers want LC and GC methods with high resolution and robustness. Separations that are fit for purpose and that will work once transferred to other teams and clients.

Approaches like Quality by Design (QbD) and Design of Experiments (DoE) help you get there. But implementing QbD and DoE smoothly has its own challenges. You have to approach development deliberately, design experiments for learning, and use and store the resulting data effectively.

Our software can help with all these steps.

Foundational chemistry underlies every chromatographic method. Starting your method development tools from these principles helps you choose better starting conditions.

What does that mean? Use software tools to predict physicochemical properties, such as pKa, logD, and solubility, and find the best solvents and pH range to screen. Use databases of Tanaka parameters to understand column properties, and find the best columns to test. By starting from a better place, you’ll reduce the work needed to reach the optimal point.

Every experiment gives you some information, but trial-and-error gives you less than other approaches. Instead, plan every experiment to paint a better picture of your separation space. The software helps here by suggesting experimental conditions, and building models with your data, so you can understand your separation space in multiple dimensions. Use simulated chromatograms for an intuitive understanding of your model.

Models are helpful, but they’re only as useful as they’re accurate. Ensure the model matches your data by choosing software that lets you customize equations. Adjust to suit the parameters you’re optimizing, your experimental conditions, and your samples. For example, protein and small-molecule separations are known to behave differently with temperature—build models that reflect those differences.

Every project adds to your chromatographic knowledge. By now, your organization might have years or decades of accumulated experience. But if the information isn’t readily findable, it languishes unused.

Searchable databases help you share project data, so you or your colleagues can use past attempts as starting points for future projects. With search that runs by structure, substructure, method parameters, retention time, and more, it’ll be hard to lose knowledge again. And with support for every major instrument vendor data format, all your information will be collected seamlessly together.

Customer Reviews
“We at Dow have used this tool extensively for small molecule separation and developed many methods for both in-process samples and final product.”

Binghe Gu
Dow Chemical Company

“Try ACD/Method Selection Suite—it saved me a lot of time and significantly reduced consumption of materials, while deepening my method development knowledge. You'll love it! ”

Shabnam Sarshar
Project Manager, Medice

“Reliability, robustness, and lifetimes of methods have improved, and at the same time we have reduced the loss of interpretation information and expensive retesting of samples…the QbD approach to method development aided by ACD/AutoChrom provides return on investment within a short time.”

Rudy Sneyers
Janssen Pharmaceuticals

“We had spent several months developing a method without successfully resolving a critical pair of peaks. Using the software we managed to generate a method that resolved those peaks in less than 48 hours.”

Erin Gemperline
Dow AgroSciences

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