Chromatography Column Packing Quality Assessment
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Solution Overview
Problem
Current methods for determining the quality of chromatography column packing in preparative chromatography require additional data acquisition and tracer compounds, which increase process time and resources, and do not effectively assess the separation efficacy and packing quality independently of equipment contributions.
Innovation Solution
A method that determines the separation efficacy and packing quality of re-usable chromatography columns by analyzing inert changes in physicochemical parameters of the mobile phase, using a function of the form yI=-12Aexp(-xt0)(exp(2xct0+w22t02)(erf((x-xcw-wt0)2)+1)-exp(xt0)erf(x-xc2w))+y0, without the need for additional tracer compounds or historical data, allowing for independent characterization of chromatography equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional data acquisition and tracer compounds are used to determine column packing quality, then measurement precision is improved, but loss of time and loss of substance increase
Solution Approach 1:
The patent extracts the essential information needed for column quality assessment from the main chromatography process data itself, rather than adding separate measurement steps. By analyzing the chromatography elution profile and comparing it to reference profiles, the method determines column packing quality without extracting or adding any separate tracer substances or performing additional data acquisition steps.
Solution Approach 2:
The chromatography process data serves multiple functions simultaneously: it performs the primary separation function and also provides the information needed for column quality assessment. The same elution profile used for product purification is also analyzed to determine column packing quality, making the data serve dual purposes and eliminating the need for separate measurement systems.
2Measurement precision
If additional data acquisition and tracer compounds are used to determine column packing quality, then measurement precision is improved, but loss of resources increases
Solution Approach 1:
The patent extracts the essential information needed for column quality assessment from the main chromatography process data itself, rather than adding separate measurement steps. By analyzing the chromatography elution profile and comparing it to reference profiles, the method determines column packing quality without extracting or adding any separate tracer substances or performing additional data acquisition steps.
Solution Approach 2:
The patent replaces expensive tracer compounds with computational analysis of existing process data. Instead of consuming physical tracer substances to assess column quality, the method uses mathematical comparison of elution profiles, effectively replacing material consumption with information processing.
3Measurement precision
If historical data is used for column integrity determination, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent creates a reference elution profile that represents a known good column state, and compares current process data against this reference copy. This copying approach allows for consistent quality assessment without requiring complex historical data management systems, as the reference profile serves as a stable benchmark for comparison.
4Measurement precision
If equipment contributions are included in chromatography data analysis, then measurement precision is improved, but manufacturing precision worsens
Solution Approach 1:
The patent extracts and separates the column packing quality information from the total chromatography data by comparing elution profiles. By focusing on the specific characteristics of the elution profile that reflect column packing quality rather than all equipment contributions, the method isolates the relevant quality indicators from confounding equipment effects.
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 the determination of chromatography column packing quality and separation efficacy without additional data acquisition, reducing process time and resources, and providing comprehensive characterization of chromatography equipment, independent of scale.
Implementation Method 1
chromatography column packing which is used at least for the second time in a purification step of a multi-step purification process of a polypeptide
Implementation Method 2
identifying and determining the experimental data of an inert change of at least one physicochemical parameter of a mobile phase passing through said re-usable chromatography column packing
Data Source
AI summary
Herein is reported a method for determining whether a re-usable chromatography column packing, which is used at least for the second time in a purification step of a purification of a polypeptide, has reduced separation efficacy in said purification step of said purification of said polypeptide, comprising the following steps: a) identifying and determining the experimental data of an inert change of at least one physicochemical parameter of a mobile phase passing through said re-usable chromatography column packing, b) determining the parameters of a function of formula I by fitting the experimental data of the inert change of the physicochemical parameter of the at least second use, c) determining the difference between the experimental data of the inert change of the physicochemical parameter of the at least second use and the function of formula I with the parameters determined in step b), d) calculating the difference between the maximum value and the minimum value of the difference determined in step c) and normalizing said difference, e) determining reduced separation efficacy of said re-usable chromatography column packing when the absolute value of the difference calculated in step d) is more than 0.1.