Chromatography Failure Detection via UV-Vis Absorbance Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Identifying failure modes in protein chromatography operations, especially in large-scale manufacturing, is challenging due to their specificity and the lack of available automatic detection methods.
Innovation Solution
A system and method for monitoring process chromatograms to detect potential or actual malfunctions in chromatography processes by comparing measured absorbance intensity within an integral volume window to a reference chromatogram, generating warning signals, and potentially repacking the chromatography column.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring methods are used for chromatography processes, then operators can detect failures, but the detection is delayed and labor-intensive
Solution Approach 1:
The patent replaces manual visual inspection and mechanical monitoring with an automated optical detection system that uses UV-Vis absorbance spectroscopy to continuously monitor chromatography processes. The system automatically compares process chromatograms to reference chromatograms and generates alerts for deviations, eliminating the need for manual operator monitoring while improving detection speed and accuracy.
Solution Approach 2:
The system implements continuous feedback by comparing real-time process chromatograms against reference chromatograms stored in memory. When deviations exceed predefined thresholds, the system immediately generates alerts to operators or automatically adjusts process parameters, creating a closed-loop control system that continuously optimizes chromatography performance and rapidly detects failures.
2Productivity
If automated detection systems are implemented, then detection speed improves, but system complexity increases
Solution Approach 1:
The patent employs a universal monitoring platform that can detect multiple types of chromatography failures (column deterioration, buffer precipitation, air bubbles, pump failures) using a single integrated system. The same UV-Vis detector and data processing algorithms handle diverse failure modes across different chromatography methods (ion exchange, affinity, hydrophobic interaction), reducing the need for multiple specialized detection systems.
Solution Approach 2:
The system creates digital copies of reference chromatograms from ideal runs and stores them in memory for comparison against process chromatograms. This copying approach allows the system to rapidly compare real-time data against established benchmarks without requiring complex physical reference standards or manual comparison procedures, simplifying the detection logic while maintaining high accuracy.
3Reliability
If continuous monitoring is performed, then process performance improves, but data processing requirements increase
Solution Approach 1:
The system extracts only the critical absorbance intensity data at specific wavelengths and time points from the continuous chromatography data stream for comparison against reference values. Rather than processing entire chromatograms, the system focuses on key parameters such as peak areas, retention times, and absorbance intensities at characteristic wavelengths, reducing data processing requirements while maintaining detection sensitivity.
Solution Approach 2:
The system performs partial monitoring by comparing only essential chromatogram features against reference data rather than analyzing every data point. The alert generation threshold is set to trigger on significant deviations only, allowing the system to process data continuously while generating alerts only when necessary, thus balancing monitoring thoroughness with data processing efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables real-time prediction and detection of chromatography process failures, improving process performance by alerting operators to column deterioration and allowing for timely remediation, thus preventing loss of separation power and valuable product.
Implementation Method 1
a UV detector measures an absorbance intensity of the eluate to generate a chromatogram
Data Source
AI summary
The disclosure provides systems and methods useful for predicting or detecting a malfunction in a chromatography process in real-time. In some embodiments, the disclosure provides systems and methods for detecting an atypical profile in a process chromatogram in ion-exchange chromatography of a biologic product.