![]({"default":{"normal":{"url":"https:\/\/www.digitalchemistry.ai\/wp-content\/uploads\/2024\/11\/Digital-Chemistry-Logo.svg","id":"17","height":"16","width":"242","thumbnail":"https:\/\/www.digitalchemistry.ai\/wp-content\/uploads\/2024\/11\/Digital-Chemistry-Logo.svg"},"retina":{"url":"","id":"","height":"","width":"","thumbnail":""}},"sticky":{"normal":{"url":"","id":"","height":"","width":"","thumbnail":""},"retina":{"url":"","id":"","height":"","width":"","thumbnail":""}},"mobile":{"normal":{"url":"","id":"","height":"","width":"","thumbnail":""},"retina":{"url":"","id":"","height":"","width":"","thumbnail":""}}}){kind=logo}
5 Minute Read
Enhancing Analytical Workflow: ChemisTwin™ Portal for Automated Structure Identification and Quality Control
This application note demonstrates the significant advantages of using ChemisTwin™ portal over traditional manual methods for NMR-based compound identification and quality control.
Through a comprehensive comparison study using ibuprofen and its related impurities, the research shows that ChemisTwin™ delivers accurate automated structure verification in 50-67% less time than conventional manual approaches.
The study reveals how ChemisTwin™ successfully identified ibuprofen with 100% match factor while effectively discriminating against closely related impurity compounds, providing detailed spectral assignments and match factor scores that enable rapid quality control decisions.
This streamlined digital approach eliminates the need for extensive manual interpretation and literature comparison, significantly enhancing efficiency while reducing potential for human error in analytical workflows.
