Spectrum Data Processing Device for Peak Range Setting
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Solution Overview
Problem
Existing spectrum data processing methods face challenges in accurately determining the correct end positions and baseline of a peak in mass spectra, leading to time-consuming manual adjustments and errors when creating calibration curves, especially when dealing with overlapping peaks or background noise.
Innovation Solution
A spectrum data processing device with a display unit, peak range setting, and determination units that allow operators to easily set and adjust the peak end positions and baseline, using a combination of visual markers and numerical inputs, to calculate peak areas and create calibration curves dynamically, facilitating automatic updates of the calibration curve as adjustments are made.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual determination of peak end positions and baseline is performed, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary automatic determination of peak end positions and baseline before manual adjustment, providing initial values that guide the manual determination process. This preliminary action reduces the time required for manual adjustment while maintaining measurement precision.
Solution Approach 2:
The system provides real-time feedback by displaying the calibration curve and peak parameters during the determination process, allowing operators to see the effect of their adjustments immediately. This feedback mechanism enables faster convergence to accurate values without repeated trial-and-error operations.
2Productivity
If automatic determination of peak end positions and baseline is performed, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The system merges automatic determination and manual determination into a unified hybrid approach. The automatic determination provides initial values and the manual determination allows refinement, combining the speed of automation with the precision of human judgment in a single integrated process.
Solution Approach 2:
The system transitions from a static automatic determination to a dynamic process where parameters can be automatically determined initially and then manually adjusted as needed. This dynamic approach allows the system to adapt to the specific characteristics of each peak while maintaining overall efficiency.
3Measurement precision
If try-and-error operations are repeated for manual adjustment, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system introduces an intermediary computational layer that processes the relationship between peak parameters and calibration curve quality. This intermediary calculates and displays quality metrics that guide the adjustment process, reducing the complexity of trial-and-error operations by providing clear directional feedback.
Data Source
AI summary
A data processing device configured to create, based on a plurality of spectra each obtained from each of a plurality of specimens containing a predetermined component at known concentrations different from one another, a calibration curve showing a relationship between a concentration of the component in the specimen and an area of a peak corresponding to the component of a spectrum of the specimen, where each of the plurality of spectra has a peak top at a position depending on a component contained in a specimen. The device includes a display unit and a peak range setting unit configured to allow an operator to set both end positions of a peak or a position of a baseline corresponding to the component included in the displayed spectrum.