Liquid Chromatography Cleaning System Adaptive Control
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Solution Overview
Problem
In liquid chromatographic systems, it is challenging to effectively clean the streams after analysis due to varying sample properties and column types, leading to carryover issues that affect detection accuracy.
Innovation Solution
A liquid chromatographic system is designed with a processor and memory that analyze quality control results and sample information to specify the appropriate cleaning method and execution conditions, driving cleaning pumps to effectively clean the streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a specific cleaning condition is used for cleaning the stream, then cleaning efficiency is improved for certain sample properties, but it becomes difficult to avoid carryover for other sample types or column configurations
Solution Approach 1:
The cleaning system dynamically adjusts cleaning conditions based on the analyzed sample properties and column type. The processor selects from multiple cleaning conditions stored in memory, adjusting flow rates, cleaning solution types, and cleaning durations according to the specific sample and column configuration, transforming a static cleaning approach into a dynamic adaptive system
Solution Approach 2:
The system changes multiple cleaning parameters including flow rate, cleaning solution composition, cleaning duration, and temperature based on the sample properties and column type. By storing multiple cleaning conditions with different parameter sets and selecting the appropriate one for each analysis, the system achieves both effective cleaning and broad applicability
2Reliability
If the stream is cleaned after each analysis, then carryover is reduced, but the analysis throughput is decreased due to cleaning time
Solution Approach 1:
The system applies partial cleaning actions by selecting from multiple cleaning conditions with varying intensities and durations. For samples with low carryover risk, a lighter cleaning condition is applied, reducing cleaning time. For high-risk samples, more thorough cleaning is performed. This partial action approach maintains detection accuracy while optimizing throughput
Solution Approach 2:
The system adjusts cleaning parameters such as flow rate, cleaning solution type, and duration based on sample properties. By changing these parameters dynamically, the system achieves effective carryover removal with minimized cleaning time, balancing reliability and productivity
3Adaptability or versatility
If multiple cleaning conditions are stored and selected based on sample properties, then cleaning adaptability is improved, but the system complexity increases
Solution Approach 1:
The processor serves multiple functions: it controls the analysis, selects the appropriate cleaning condition from memory, and manages the cleaning pump operation. By making the processor universal and multi-functional, the system achieves high adaptability without adding separate dedicated components for each function, thus limiting complexity increase
4Manufacturing precision
If cleaning conditions are customized for each sample type and column type, then cleaning precision is improved, but the operation complexity increases
Solution Approach 1:
The system performs self-service by automatically selecting the appropriate cleaning condition based on the sample properties and column type without requiring manual user input. The processor autonomously retrieves the correct cleaning parameters from memory and executes the cleaning protocol, maintaining high cleaning precision while simplifying user operation
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
This approach allows for appropriate and efficient cleaning of the streams, reducing carryover and improving detection accuracy by tailoring the cleaning process to the specific analysis conditions.
Implementation Method 1
one or more cleaning pumps that supply a cleaning solution to the first stream
Implementation Method 2
a first column that separates a sample for each component
Data Source
AI summary
In a liquid chromatographic system, a processor is configured to analyze a sample through a first stream which is an analysis flow path including a first column, to obtain at least one of a result of analysis for quality control of the first stream and information that specifies a sample to be analyzed in the first stream, to specify, among two or more combinations of a cleaning method and a cleaning execution condition, a first combination including an execution condition to which at least one of the result of analysis for quality control and the information corresponds, and to drive one or more cleaning pumps in accordance with the cleaning method included in the first combination.