Sustainable Analytical Labs: Software for Greener Chromatography
Discover how sustainable chromatography can reduce the environmental impact of analytical labs by applying the 12 Principles of Green Chemistry. Learn about strategies for minimizing solvent use, enhancing energy efficiency, and utilizing predictive software tools to foster eco-friendly practices while maintaining accuracy and efficiency in research.
Machine Learning Shows Promise for Advancements in Lab Data Analysis
ACD/Labs discusses machine learning in their software with Tanya Samazan of Instrument Business Outlook. Read about ML-based experiment design and ML-based array planning for high throughput experimentation (HTE); and ML in spectral, chromatographic, and property prediction software.
Improving Method Transfer Outcomes
ACD/Labs and the Separation SME team at Pfizer collaborated to create a feature within Method Selection Suite to vary method parameters. With this tool methods are automatically generated for all possible combinations of parameter variations—enabling seamless method transfer without impacting method performance.
How to Choose NMR Data Analysis Software That’s Right for You
Choosing the right NMR data analysis software is crucial for extracting meaningful insights from your experiments. Important factors to consider include compatibility with various data formats, advanced analysis capabilities, ease of use, deployment options, and customization potential. Carefully considering these aspects will help you choose the right software to streamline your workflows and improve data accuracy.
ACD/Labs Releases v2024 of Modeling Platform Percepta® to Support Pharmaceutical and Chemical R&D at the PhysChem Forum
Version 2024 of Percepta delivers substantial expansions to the training sets and algorithms, improving prediction accuracy for pKa and logP calculators, and a range of ADME and toxicity endpoints. This update also increases coverage of chemical space occupied by new therapeutic modalities such as proteolysis targeting chimeras (PROTACs).
Computer Assisted Structure Elucidation of Boerelasin B Using Structure Elucidator Suite
The structure of Boerelasin B (molecular formula C29H35NO4) was determined from 1D and 2D NMR spectra as well as by comparison of the spectroscopic data with those of a known similar structure isolated from the same fungus. The NMR data obtained were used by us for challenging Structure Elucidator Suite.
Unveiling Spectral Secrets—Structure Elucidation & Verification Virtual Symposium
Join us to hear industry-leading experts share how they leverage software to make the most of their data and enhance their structure elucidation and verification workflows.
October 23–24, 2024 @ 9:30 AM EDT