AI Article Synopsis
- Transition analysis was conducted on production-scale chromatography data to evaluate column performance, highlighting the effectiveness of the techniques used across over 300 different transitions.
- The analysis successfully identified columns with known integrity breaches, demonstrating the sensitivity of the methods in detecting these issues.
- PCA (principal components analysis) was utilized to observe changes in transition patterns, helping not only in breach detection but also in monitoring column efficiency during repeated uses.
Article Abstract
Transition analysis was performed on production-scale chromatography data in order to monitor column performance. Analysis of over 300 transitions from several different chromatography operations demonstrated the utility of the techniques presented. Several of the transitions analyzed occurred on columns with known integrity breaches. The techniques proved sensitive for detection of these breaches. Seven transition calculations are presented, which were combined to produce a single overall integrity value for each column. In addition, principal components analysis (PCA) was used to detect shifts in the transition pattern, including those attributed to integrity breaches. Besides detection of integrity breaches, transition analysis proved useful in monitoring column efficiency over multiple column uses.
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| http://dx.doi.org/10.1021/bp025639g | DOI Listing |
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