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A processing method and technology of spectral data, applied in the field of spectral analysis, can solve the problems of high cost, cumbersome operation, many varieties required, etc., and achieve the effects of low cost, high efficiency and easy operation
Active Publication Date: 2017-05-31
HANGZHOU PUYU TECH DEV CO LTD +1
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However, whether it is to re-establish the standard curve or to calibrate the standard curve through high and low standard samples, to obtain a new standard curve requires the measure
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Embodiment 1
[0036] This embodiment provides a method for processing spectral data, and the method for processing spectral data includes the following steps:
[0037] (A1) Exciting a standard sample, collecting the spectrum of the standard sample and judging whether the relative standard deviation of the spectrum of the standard sample is within the first threshold range:
[0038] If within the first threshold range, enter the next step;
[0039] If it exceeds the first threshold range, the instrument will alarm and stop data processing;
[0040] (A2) determine that the peak intensity in the standard sample spectrum is less than the detector saturation threshold, and the peak net intensity is greater than the second threshold as an effective peak, and calculate the peak area of the effective peak;
[0041] (A3) Calculate the effective coefficient, the effective coefficient is the ratio of the peak area of the effective peak in the original spectrum and the peak area of the effective...
Embodiment 2
[0062] An application example of the spectral data processing method in Embodiment 1 of the present invention in spectral light intensity correction.
[0063] In this application example, the first threshold is [0,5%], the second threshold is 50, and the third threshold is 0.5. The specific spectral data processing flow is as follows:
[0064] S1. Excite the standard sample, collect the spectrum of the standard sample, if the SD of the standard sample spectrum is less than or equal to 5%, enter the next step, otherwise alarm;
[0065] S2. According to Find all the troughs in the standard sample spectrum according to the pixel interval [m-3, m+3], m≥3, and find the peaks sequentially from the starting pixel position;
[0066] according to In adjacent troughs [m i , m i+1 ] range to determine all peaks in the standard sample spectrum;
[0067] Then the net intensity of the peak is:
[0068]
[0069] S3. All peaks with peak intensity 50 are determined as effective pea...
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Abstract
The invention relates to a spectral data processing method. The spectral data processing method comprises the following steps: (A1) exciting a standard sample, collecting a spectrum of the standard sample, and determining whether a relative standard deviation of the standard sample spectrum is in a first threshold range or not; (A2) determining peaks with wave peak intensity smaller than a saturation threshold value of a detector and wave peak pure intensity greater than a second threshold value in the standard sample spectrum as effective peaks, and calculating a peak area of the effective peaks; (A3) calculating an effective coefficient, wherein the effective coefficient is a ratio of the peak area of the effective peaks in an original spectrum to the peak area of the effective peaks in the standard sample spectrum; (A4) performing polynomial fitting according to the effective coefficient and a pixel position of the corresponding effective peak, and obtaining a fitting curve of the effective coefficient and the pixel position relation: Coef=p1*i3+p2*i2+p3*i+c; and (A5) exciting a sample to be detected, and by virtue of the fitting curve, correcting an exciting spectrum as: Measureint.[i]=Coef[i]*Measureresa.[i]. The spectral data processing method has the advantages of convenience in operation, low cost, single standard sample correction and the like.
Description
technical field [0001] The invention relates to the field of spectral analysis, in particular to a spectral data processing method for correcting wavelength sensitivity. Background technique [0002] During the use of the spectrometer, as the use time increases, some key components in the spectrometer are prone to aging, pollution, and changes in the relative displacement between components, etc. The above factors plus changes in ambient temperature and humidity will cause The intensity of the characteristic peaks of the elements changes, and the spectral shift often occurs, resulting in inaccurate measurement results. In order to improve the accuracy of the measurement results, the current commonly used method is to obtain the content of the element to be measured in the new standard curve by re-establishing the standard curve; after the standard curve. However, whether it is to re-establish the standard curve or to calibrate the standard curve through high and low standa...
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