GC/MS Quantification With Category-Specific Calibration Curves
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for quantifying organic compounds in food samples, such as saccharides, are hindered by matrix effects from impurities, requiring time-consuming and labor-intensive standard addition methods for each sample, especially when multiple compounds are involved, leading to inaccurate results.
Innovation Solution
A quantitative analysis method and apparatus that categorizes samples into predefined groups, prepares calibration curves for each group on the manufacturer side, and uses a combination of standard addition and internal standard methods, reducing the need for user-side preparation and analysis by utilizing a database of pre-established calibration curves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the standard addition method is used to reduce matrix effects and improve measurement precision, then the accuracy of quantitative analysis is improved, but the time required for sample preparation and analysis increases significantly
Solution Approach 1:
The patent applies preliminary action by pre-preparing calibration curves for multiple food categories (vegetables, fruits, grains, meat, fish, dairy) and storing them in a database. This allows the system to directly select and use appropriate calibration curves without performing time-consuming standard addition experiments for each sample, thus reducing analysis time while maintaining accuracy through pre-optimized calibration data
Solution Approach 2:
The patent segments the complex calibration process by dividing food samples into multiple categories (vegetables, fruits, grains, meat, fish, dairy), each with its own pre-prepared calibration curve. This segmentation allows the system to handle different food types efficiently by selecting the appropriate category-specific calibration curve, reducing the overall time required compared to processing each sample individually through the full standard addition method
2Reliability
If the standard addition method is performed for each unknown sample to account for matrix effects, then the reliability of quantitative results is improved, but the complexity of the analysis procedure increases
Solution Approach 1:
The system performs the complex standard addition experiments in advance during the calibration phase, organizing results into category-specific calibration curves stored in a database. During actual analysis, the system simply selects the appropriate pre-prepared calibration curve based on sample category, dramatically simplifying the analysis procedure while maintaining the reliability benefits of the standard addition method
Solution Approach 2:
The patent creates simplified copies of the full standard addition process by developing category-specific calibration curves that capture the essential matrix effects for each food category. These calibration curve copies allow rapid quantification without repeating the complete standard addition procedure for each sample, reducing procedural complexity while preserving measurement reliability
3Measurement precision
If multiple calibration curves are prepared for different food categories to account for varying matrix effects, then the measurement precision across different sample types is improved, but the device complexity and data management requirements increase
Solution Approach 1:
The patent creates a universal database system that stores and manages calibration curves for multiple food categories (vegetables, fruits, grains, meat, fish, dairy). This universal database allows the system to handle diverse sample types through a single integrated platform, selecting the appropriate calibration curve based on sample category, thus managing data complexity through systematic organization while maintaining high measurement precision across all food types
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 efficient, labor-saving quantification of multiple compounds in large numbers of samples with high accuracy by using pre-prepared calibration curves, correcting for matrix effects and reducing the burden of sample preparation and analysis.
Implementation Method 1
executing gas chromatograph mass spectrometry on a preprocessed target sample
Implementation Method 2
executing gas chromatograph mass spectrometry on a preprocessed target sample
Data Source
AI summary
One mode of the present invention is a quantitative analysis method of quantifying a target compound contained in a sample derived from an organism, including: a category selection step of receiving selection by a user of one category containing a target sample from among categories determined in advance for the sample; a preprocessing step of performing a predetermined preprocessing including derivatization on the target sample; a measurement execution step of executing GC/MS analysis on the preprocessed target sample based on analysis condition information provided from a database storing the analysis condition information for the GC/MS analysis and calibration curve information for quantification by a standard addition method for each category; and a quantitative processing step of performing quantitative processing based on data obtained in the measurement execution step using the calibration curve information corresponding to the selected category, the calibration curve information being provided by the database.