Fitting-based nuclear magnetic resonance signal processing method

Abstract

The invention provides a nuclear magnetic resonance signal processing method. The method is characterized by comprising the following steps: collecting nuclear magnetic resonance signal data; calculating the ratio of extreme difference between a maximum sampling value and a minimum sampling value of the collected nuclear magnetic resonance data, and screening gross error data and rejecting the gross error data; calculating the nuclear magnetic resonance data by using studentized residual, and recognizing abnormal points in the nuclear magnetic resonance data according to a critical value of an absolute value of the studentized residual; measuring impact of the abnormal points through a statistic method to determine the choice of the abnormal points; further checking the linear fitting quality of the data through checking of related coefficients, signification checking of a regression equation and checking of residual standard difference, and performing linear fitting on the nuclear magnetic resonance data of which the gross error data and the abnormal points are rejected to obtain a final standard calibration straight line. The nuclear magnetic resonance signal processing method can perform linear fitting on the collected nuclear magnetic resonance data quickly, efficiently, reliably and accurately.

Description

technical field [0001] The invention relates to a standard scale straight line fitting method of nuclear magnetic resonance signals, which can be used to quickly determine the content of unknown samples. Background technique [0002] NMR detection technology has been used in various fields, such as environmental monitoring and analysis quality control, determination of free radical content in coal, determination of equivalent water content, oil content of seeds, etc. Taking the determination of the oil content of seeds as an example, the traditional Soxhlet extraction method to determine the oil content of seeds is time-consuming and laborious, the efficiency is low, and the seeds need to be destroyed, which is not conducive to the breeding of excellent varieties. Compared with the Soxhlet extraction method, the nuclear magnetic resonance instrument can quickly detect the oil content in the seeds, and has the advantages of safety, non-toxicity, easy operation, and no damage ...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the deficiency that the existing nuclear magnetic resonance signal processing software cannot optimize the fitting algorithm and control the reliability of the fitting result, the present invention provides a linear fitting method of nuclear magnetic resonance signal data, which can not only check the reliability of the measured data In addition, it can eliminate the data with large errors to obtain the best standard calibration line, and it is convenient, accurate and fast to determine the content of unknown samples.

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