Method Development System
Automatic Optimization of Gradient Conditions by AI Algorithm
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User Benefits
- The AI algorithm of LabSolutions MD can automatically optimize gradient conditions to greatly reduce labor of LC method development. - Gradient conditions are automatically optimized at different column oven temperatures consecutively. - Automatic optimization of gradient conditions can be applied not only to new method development, but also to existing method to efficiently improve resolution.
Introduction
In the typical LC method development, the process begins with "preparation" which includes mobile phase preparation, column installation, and creation of analysis schedules, then the analysis is started. After that, the acquired data is analyzed and "preparation" for the subsequent analysis is carried out, followed by starting the next analysis again. The method development progresses by repeating these processes, but in addition to the significant time required to repeatedly create analysis schedules, expertise in chromatography is necessary to explore optimal conditions based on data analysis. In other words, typical method development requires "human intervention". Therefore, eliminating human involvement and automating such method development processes would be desirable to improve labor efficiency. This article introduces an approach for automatically optimizing gradient conditions at different column oven temperatures consecutively, identifying the combination of temperature and gradient conditions that meet the resolution criteria.
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