NMR Solvent Identification via Splitting Analysis
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Solution Overview
Problem
Current NMR measurement apparatuses require manual user input to identify solvents, leading to user burden and potential erroneous settings, as they lack automated and precise methods for solvent identification based on splitting information due to the Zeeman effect.
Innovation Solution
An NMR measurement apparatus comprising an acquisition unit, an analyzer, and an identifier that acquires and analyzes NMR spectra to identify splitting information, specifically the number of splits and splitting intervals, to automatically and precisely identify solvents, independent of the static magnetic field intensity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user input is used to identify solvents, then the apparatus can operate with simple hardware, but user burden increases and erroneous settings may occur
Solution Approach 1:
The NMR measurement apparatus automatically identifies the solvent type by analyzing the NMR spectrum and splitting information without requiring manual user input. The system performs self-service by autonomously determining the solvent based on the characteristic splitting patterns observed in the NMR spectrum, thereby reducing user burden and preventing erroneous settings.
Solution Approach 2:
The patent replaces the manual mechanical process of solvent identification with an automated spectral analysis system. The NMR spectrum acquisition and analysis unit automatically processes the spectral data to identify splitting information and determine solvent type, substituting manual operation with automated electronic analysis.
2Measurement precision
If manual solvent identification is used, then the apparatus structure remains simple, but measurement accuracy may be compromised due to erroneous settings
Solution Approach 1:
The system uses feedback from the NMR spectrum analysis to automatically adjust and identify the solvent type. By analyzing the splitting information and comparing it with reference data, the system provides feedback-based automated solvent identification, ensuring measurement accuracy without requiring complex manual intervention procedures.
Solution Approach 2:
The patent replaces manual solvent identification processes with automated spectral analysis. The NMR measurement apparatus automatically processes the spectrum, identifies splitting patterns, and determines solvent type through electronic analysis, thereby improving measurement accuracy while maintaining relatively simple apparatus structure.
3Reliability
If automated solvent identification based on splitting information is implemented, then user error is reduced, but the apparatus requires more complex analysis capabilities
Solution Approach 1:
The patent replaces manual solvent identification with automated spectral analysis using the NMR measurement apparatus. The analysis unit processes the NMR spectrum to identify splitting information and automatically determines solvent type, improving reliability by eliminating human error while using standard NMR analysis capabilities.
Solution Approach 2:
The NMR measurement apparatus performs self-service by automatically analyzing its own spectral data to identify the solvent type. The system uses its built-in analysis capabilities to process the NMR spectrum, extract splitting information, and determine solvent identity without external intervention, thereby improving reliability.
4Extent of automation
If conventional solvent identification methods are used, then the apparatus can operate without advanced analysis features, but automatic solvent identification is not achieved
Solution Approach 1:
The patent replaces conventional manual solvent identification methods with automated spectral analysis. The NMR measurement apparatus automatically acquires the NMR spectrum, analyzes splitting information, and identifies the solvent type through electronic processing, achieving full automation of the solvent identification process.
Solution Approach 2:
The system achieves self-service by automatically performing solvent identification through spectral analysis. The NMR measurement apparatus autonomously processes the acquired spectrum, extracts splitting information, and determines solvent type without requiring manual user input or external analysis tools.
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 automatic and precise solvent identification in NMR measurements, reducing user error and improving measurement accuracy by utilizing intrinsic solvent-specific splitting information, even before NMR locking, and allowing for accurate reference frequency management and shimming adjustments.
Implementation Method 1
splitting information due to the Zeeman effect; that is, splitting information, for identifying the solvent
Data Source
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AI summary
An NMR spectrum is acquired from a nucleus of interest 13C in a solvent included in a sample solution. A spectrum analyzer (50) analyzes a number of splits, a splitting interval, a number of signals, and a signal interval based on the NMR spectrum. Based on these characteristic quantities, an identifier (54) identifies the solvent. In another configuration, a plurality of NMR spectra acquired from a plurality of nuclei of interest included in the solvent may be analyzed.