Automation, alongside AI and machine learning, is becoming a major trend in the analytical lab, meeting demands for increased efficiency, reproducibility, and accuracy. Automation allows scientists to focus on data rather than repetitive manual tasks, reducing exposure to hazardous chemicals and potentially dangerous samples. It also reduces rework, which can increase project timelines and increase capacity within the organization for more projects. The resulting higher-quality data is easier to analyze, interpret, and use for decision-making. The author also highlights the importance of AI in addressing data harmonization and analysis, which significantly enhances accuracy and efficiency. The article suggests that while many HPLC systems are still manually operated, newer ones integrate with automation.
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