Automatic Optimization of Separation Conditions by AI Algorithm -Optimization under Isocratic Elution-

User Benefits

- The AI algorithm of LabSolutions MD can automatically optimize separation conditions, greatly reducing the workload involved in LC method development. - By optimizing the separation under isocratic elution, method transfer between different systems becomes easier. - Automatic optimization under isocratic elution can efficiently convert existing gradient methods to isocratic ones.

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 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. In this article, a case study is presented in which a mixture of low-molecular-weight compounds was used as a model sample, and conditions meeting the resolution criteria were automatically explored using the dedicated software for supporting method development “LabSolutions MD”. For gradient elution, method transfer between different systems while maintaining the separation pattern requires appropriate adjustment of various LC parameters, and achieving an exact match of the separation pattern before and after transfer can be challenging. In this article, optimization of separation conditions under isocratic elution was carried out to facilitate smoother method transfer.

November 18, 2025 GMT