Sample Injection Device with Configurable Solvent Cleaning Order
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Solution Overview
Problem
Conventional sample injection devices for gas chromatography have a fixed cleaning order for multiple solvents, limiting the degree of freedom in cleaning, which can result in reduced cleaning effectiveness and increased carryover of samples.
Innovation Solution
A sample injection device that allows for customizable cleaning order settings based on solvent polarity and user preferences, enabling the use of solvents with high cleanliness before sample injection and adjusting the number of cleaning cycles based on sample viscosity, with automatic settings possible through pre-stored candidate substance information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed cleaning order of multiple cleaning solvents is used, then the device operation is simple, but the cleaning effectiveness is reduced and carryover increases
Solution Approach 1:
The cleaning order is made dynamically adjustable rather than fixed. The system allows users to freely set and change the cleaning order of multiple cleaning solvents according to different cleaning needs, transforming a static fixed-order system into a dynamic configurable system that adapts to various cleaning requirements.
Solution Approach 2:
The cleaning order parameter is made changeable. The system enables modification of the sequence in which multiple cleaning solvents are applied, allowing optimization of cleaning effectiveness by adjusting this parameter based on the specific cleaning task, sample type, and solvent properties.
2Adaptability or versatility
If cleaning order is fixed, then the device is easy to operate, but the degree of freedom in setting cleaning is limited
Solution Approach 1:
The system provides dynamic configurability for cleaning order while maintaining ease of operation through automated functions. Users can freely adjust the cleaning sequence when needed, but the system also offers automatic cleaning order determination based on sample and solvent properties, balancing flexibility with operational simplicity.
Solution Approach 2:
The system performs self-service by automatically determining the optimal cleaning order based on pre-stored information about sample properties and solvent characteristics. This eliminates the need for users to manually configure the cleaning sequence in routine cases, maintaining ease of operation while providing adaptability when manual adjustment is required.
3Object-generated harmful factors
If cleaning solvent with high cleanliness is used immediately before injection, then carryover is reduced, but the cleaning order must be flexible
Solution Approach 1:
The cleaning order parameter can be changed to place the cleaning solvent with highest cleanliness immediately before sample injection. This parameter adjustment ensures that the most effective cleaning occurs at the critical moment before injection, minimizing carryover while the system manages the configuration complexity.
Solution Approach 2:
The system performs preliminary cleaning actions using multiple solvents in an optimized sequence, with the final cleaning solvent selected and positioned to provide maximum cleanliness immediately before injection. This preliminary multi-stage cleaning approach ensures minimal carryover by preparing the syringe thoroughly beforehand.
Data Source
AI summary
A sample injection device is provided with a syringe for injecting a sample and an arrangement unit in which plural kinds of cleaning solvents are arranged to clean the syringe. The device is configured to be able to set a cleaning order of the syringe by the plural kinds of cleaning solvents.


