Data Processing Device for Accurate Spectrum Extraction
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Solution Overview
Problem
Existing data processing devices face challenges in accurately generating spectra from three-dimensional data due to distortion, saturation, and noise, especially when dealing with samples of varying component densities, leading to incorrect results in library search and spectrum identification.
Innovation Solution
A data processing device that includes an intensity-time graph generator, a target peak determiner, a time point specifier, and a target spectrum generator, which automatically extracts a target spectrum by specifying a time point where the spectrum size matches a predetermined value, thereby avoiding distortion, saturation, or noise, and optionally includes a peak purity determiner to separate signals from individual components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If spectrum extraction is performed at the peak top of the chromatogram, then the extraction process is simple, but the extracted spectrum is affected by distortion and saturation
Solution Approach 1:
The invention performs preliminary actions by generating the chromatogram first, detecting peaks, and determining time points before spectrum extraction. This preliminary processing identifies optimal extraction points that avoid distortion and saturation, ensuring accurate spectrum extraction without manual intervention at the peak top.
Solution Approach 2:
The invention replaces the manual mechanical approach of extracting spectra at peak tops with an automated computational system. The system automatically detects peaks, determines optimal time points based on chromatogram analysis, and extracts spectra, substituting manual operation with automated processing that avoids distortion and saturation.
2Measurement precision
If manual specification of extraction time points is performed, then spectrum extraction can be precise, but the operation becomes complex and time-consuming
Solution Approach 1:
The invention implements self-service by enabling the system to automatically perform peak detection, time point determination, and spectrum extraction without user intervention. The automated process analyzes the chromatogram, identifies peaks, determines optimal extraction time points, and extracts spectra autonomously, eliminating complex manual operations while maintaining precision.
Solution Approach 2:
The invention changes the parameter of extraction time point selection from fixed (peak top) or manually specified to dynamically determined based on chromatogram analysis. The system automatically adjusts the extraction time point parameter based on detected peak characteristics, achieving precise extraction without manual complexity.
3Measurement precision
If samples with high component density are analyzed, then detection sensitivity is improved, but signal distortion and saturation occur
Solution Approach 1:
The invention performs preliminary chromatogram analysis and peak detection before spectrum extraction. This preliminary processing identifies regions of interest and determines optimal extraction time points that avoid distorted and saturated signal regions, ensuring reliable spectrum extraction from high-density samples.
Solution Approach 2:
The invention extracts only the necessary spectral information at optimally determined time points rather than processing the entire chromatogram data. By extracting spectra at specific time points identified through peak detection and time point determination, the system obtains reliable spectral data without being affected by distortion and saturation in other regions.
Data Source
AI summary
A data processing device that processes three-dimensional data having time, intensity, and wavelength collected from a sample serving as a measurement target includes: a chromatogram generator configured to generate a chromatogram from the three-dimensional data; a target peak determiner configured to determine a target peak from peaks appearing on the chromatogram; a time point specifier configured to specify a time point at which the size of a spectrum matches the size of a reference spectrum from a time range during which the target peak appears in the three-dimensional data; and a target spectrum generator configured to extract data at the time point from the three-dimensional data, thereby generating a spectrum at the time point. With this configuration, a spectrum that is not affected by distortion, saturation, or noise can be readily and reliably obtained from the three-dimensional data obtained through sample analysis.