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ACD/Labs Blog

Method Development Webinar Series Join our expert-led webinar series focused on modern, efficient approaches to chromatographic method development. Designed for industry scientists, this series will cover practical applications of retention modeling, software-assisted workflows, and in-silico tools to support faster development, reduced experimental effort, and more robust, QbD-aligned methods. Each session delivers actionable insights you can...

Digitalization is transforming research and development across pharma, biopharma, and chemical sciences. From predictive modeling to automated and digitalized workflows, scientists are finding innovative ways to bring together data, tools, and expertise to drive innovation. Join us as we bring together leading researchers and industry experts to explore practical applications of digital tools in real-world...

Optimizing chromatography ensures accurate, reproducible, high-resolution methods. Fine-tuning parameters like stationary phase, mobile phase, and instrument settings enhance method performance. Software tools for simulation, optimization, and method transfer simplify development, create robust methods, and ensure efficient analysis across systems.

Chromatography Data Systems (CDS) are essential in modern analytical labs, serving as centralized hubs that integrate with instruments, streamline workflows, manage data, and ensure precise, high-quality results across diverse industries. Read more to learn how to unlock the full potential of data from your CDS.

Jens Richards from Corteva Agriscience shares how the company’s SPEED-CHROM initiative aided in increasing the confidence and productivity of a young team with minimal industry experience. Find out how leveraging predictive modelling, using optimized instrumentation, and ensuring efficient communication can result in significantly faster and more accurate method development.

Technical Laboratory Supervisor from Shimadzu, Jen Field, discusses the principles, benefits, and challenges of retention modelling in chromatography, highlighting its advantages in streamlining method development by optimizing separations, reducing experimental workload, and saving resources. In the presentations, Jen shares practical tips to improve model accuracy with the aid of software tools such as ACD/Labs Method...

Chromatography Data Systems (CDSs) have become a prerequisite for laboratories that perform regulated testing for quality control and pharmaceutical development or manufacturing. While they play a crucial role in helping organizations assure regulatory compliance; the fact that the data is locked inside them, is an ever-increasing frustration. Particularly, with the advent of data-hungry AI/ML projects....