Mixture Detection via Relative Activity and Characteristic Peaks
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Solution Overview
Problem
Current substance detection methods are inefficient in analyzing mixtures, as they primarily rely on single pure substance databases, unable to detect the proportion of substances in a mixture, leading to unfeasible database sizes and limited identification capabilities.
Innovation Solution
A mixture detection method and device that performs measurement spectrum line collection, selects characteristic peaks, queries a relative activity database to determine the proportion of substances, using a calibration substance and standard sample to calculate the proportion contents based on intensity proportions and relative activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a mixture database is constructed by using the original method (comparing all possible combinations of substances), then the identification capability is improved, but the data size becomes extremely large and the solution becomes unfeasible
Solution Approach 1:
The patent segments the mixture detection problem into two independent parts: (1) identifying the types of substances in the mixture by comparing against a pure substance database, and (2) calculating the proportion of each substance using relative activity values. This segmentation avoids the need to store and compare all possible mixture combinations, reducing database size from billions of entries to just pure substance data.
Solution Approach 2:
The patent performs preliminary action by pre-calculating and storing relative activity values for each pure substance in the database. These relative activity values are computed once and stored, allowing rapid proportion calculation during actual mixture analysis without requiring pre-computation of all possible mixture spectra. This preliminary preparation enables efficient real-time analysis.
2Quantity of substance
If a single pure substance database is constructed, then the data size is reduced and the solution becomes feasible, but the detection capability is limited to single substances only and cannot detect proportion contents
Solution Approach 1:
The patent makes the pure substance database multi-functional by enabling it to serve both single substance identification and mixture analysis purposes. Through the introduction of relative activity values and intensity proportion calculations, the same database structure is extended to handle mixtures, allowing the system to perform multiple functions (single substance detection, mixture composition identification, and proportion quantification) without requiring separate mixture databases.
3Measurement precision
If traditional spectral comparison methods are used, then the identification of substance kinds is achieved, but the proportion contents of substances in the mixture cannot be detected
Solution Approach 1:
The patent adds a new dimension to the analysis by introducing relative activity values and intensity proportion calculations. While traditional methods only compare spectral patterns for identification, this patent adds a quantitative dimension by measuring the intensity of characteristic peaks and calculating proportions based on relative activities. This dimensional extension transforms the system from qualitative identification only to quantitative composition analysis.
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
Enables the detection of proportion contents in mixtures by identifying substances and determining their concentrations through characteristic peak analysis and relative activity calculations, overcoming the limitations of existing methods.
Implementation Method 1
the detection by instrumental analysis at present is mainly based on the comparison of substance characteristics stored in databases, such as the comparison of the spectral characteristics of the substances
Implementation Method 2
selecting a characteristic peak of a measurement spectrum line of each kind of substance according to the kinds of substances, and obtaining an intensity proportion of the characteristic peak of each kind of substance
Data Source
AI summary
A mixture detection method and device relating to substance detection technology. The proportion contents of substances contained in a mixture can be detected. The method includes: performing measurement spectrum line collection on a to-be-detected mixture to identify the kinds of substances in the to-be-detected mixture; selecting a characteristic peak of a measurement spectrum line of each kind of substance according to the kinds of substances, and obtaining an intensity proportion of the characteristic peak of each kind of substance; querying a relative activity database according to the kinds of the substances to obtain relative activity corresponding to each kind of substance; and determining the proportion contents of the substances contained in the mixture according to the intensity proportion of the characteristic peak of each kind of substance and the quotient of the relative activities.