Sample Gas Spectral Library for Coexistence Error Reduction

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Solution Overview

Problem

Conventional sample gas analysis methods using multivariate analysis suffer from measurement errors due to coexistence influences, which are distinct from interference influences, caused by intermolecular interactions between measurement target components, leading to inaccurate concentration calculations.

Innovation Solution

A sample gas analysis device and method that incorporates library data storing coexistence influence spectrum data for multiple coexisting components, allowing for multivariate analysis to correct and reduce measurement errors by accounting for these interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If multivariate analysis is performed using conventional library data (spectrum data of components alone or diluted with nitrogen), then the analysis can be performed with simple library data, but measurement errors occur due to coexistence influences not being accounted for

Engineering Contradiction:

Improvelibrary data structureVSAvoidconcentration measurement accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent creates library data in advance that includes spectrum data of measurement target components mixed with coexistence components at predetermined concentrations. This preliminary preparation of comprehensive spectrum data allows the multivariate analysis to account for coexistence influences during actual measurement, eliminating measurement errors without requiring complex real-time corrections.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent changes the parameters of library data from simple pure-component spectra to composite spectra that include coexistence components at specific concentrations. By incorporating additional parameters (coexistence component concentrations) into the library data structure, the system can accurately measure target component concentrations even when coexistence influences are present.

Inventive Principle:

Principle #35Parameter changes

2Ease of manufacture

If spectrum data of components diluted with nitrogen is used for multivariate analysis, then the library data is simple and easy to manage, but coexistence influences from actual measurements cause measurement errors

Engineering Contradiction:

Improvelibrary data preparationVSAvoidmeasurement reliability

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The patent prepares library data in advance that includes spectrum data of measurement target components mixed with coexistence components at predetermined concentrations. This preliminary preparation of comprehensive spectrum data allows the multivariate analysis to account for coexistence influences during actual measurement, eliminating measurement errors without requiring complex real-time corrections.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If conventional multivariate analysis is used without coexistence influence correction, then the analysis process remains simple, but measurement errors occur when measurement target components and coexistence components coexist

Engineering Contradiction:

Improveanalysis speedVSAvoidconcentration measurement accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent merges the library data structure to include both measurement target component spectra and coexistence component spectra together. By combining these into a unified library data set with predetermined concentration relationships, the system can simultaneously analyze multiple components while accounting for their mutual influences, maintaining analysis speed while improving accuracy.

Inventive Principle:

Principle #5Merging (Combining)

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

The solution effectively reduces measurement errors by suppressing coexistence influences, thereby improving the accuracy of concentration calculations for target components.

Implementation Method 1

a sample gas analysis device which analyzes a concentration of a measurement target component in a sample gas by performing multivariate analysis using a spectroscopic spectrum obtained by irradiating the sample gas with light

Methodology Applied

Scientific EffectInfrared absorption spectroscopy: Absorption Spectroscopy

Data Source

PatentUS12590890B2Sample gas analysis device, sample gas analysis method, and program for sample gas analysis

Publication Date: 2026.03.31 HORIBA LTD

AI summary

Presented is a sample gas analysis device that reduces a measurement error due to a coexistence influence of another measurement target component different from the measurement target component, analyzes a concentration of a plurality of measurement target components in a sample gas by performing multivariate analysis using a spectroscopic spectrum obtained by irradiating the sample gas with light, and includes a library data storage configured to store library data including a plurality of spectrum data corresponding to a plurality of the measurement target components used for the multivariate analysis, and a concentration calculator configured to calculate the concentration of the plurality of measurement target components in the sample gas by the multivariate analysis using the plurality of library data stored in the library data storage.