Spectral analysis method and system based on multistage partial least squares algorithm
A technique of partial least squares and spectral analysis, applied in the field of spectral analysis
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Embodiment 1
[0042]Embodiment 1 of the present invention provides a spectral analysis system based on a multi-stage partial least squares algorithm, the system comprising:
[0043] The collection module is used to collect spectra of samples at multiple different temperatures;
[0044] A preprocessing module, configured to filter and preprocess the collected spectra;
[0045] A building block for constructing an analysis model using the pre-filtered spectrum combined with a multi-level partial least squares algorithm;
[0046] The analysis module is used to use the analysis model to predict the spectral temperature and sample concentration, realize the correction of the spectral temperature, and analyze the sample spectra under different temperature disturbances.
[0047] In this embodiment 1, after the spectral matrix at different temperatures is overall centered, a partial least squares PLS regression analysis is performed on the matrix composed of the average value vector of each indivi...
Embodiment 2
[0063] In order to further improve the prediction ability of the near-infrared spectral model under temperature disturbance, in this embodiment 2, taking the spectral analysis of raw plasma as an example, a spectral analysis method based on the multi-level partial least squares algorithm is provided. The least squares (Multilevel Partial Least Square, MPLS) algorithm is used for the establishment of the near-infrared spectrum model, which realizes the improvement of the near-infrared spectrum modeling ability under temperature disturbance, improves the model prediction ability, and reduces the influence of temperature on the near-infrared spectrum .
[0064] The spectral analysis method based on the multistage partial least squares algorithm described in this embodiment 2:
[0065] The sample spectrum is collected by a near-infrared spectrometer, and the collected spectrum is processed to obtain an inter-individual model (inter-temperature model) and an intra-individual model ...
Embodiment 3
[0090] In the present embodiment 3, a kind of spectral analysis method based on the raw material plasma of multistage partial least square algorithm (MPLS) is provided, and PLS model, EPO-PLS model, MSCA model are established respectively, and in the present embodiment 3 The MPLS model is analyzed and compared.
[0091] In this embodiment 3, the spectral analysis method based on the raw material plasma of multistage partial least square algorithm (MPLS) comprises the following steps:
[0092] Collect raw spectra of raw plasma samples at 10 different temperatures; respectively 5°C, 10°C, 15°C, 20°C, 25°C, 30°C, 35°C, 40°C, 45°C, 50°C;
[0093] Perform filtering preprocessing on the collected spectra;
[0094] Using the pre-filtered spectrum, combined with the multi-level partial least squares algorithm, to build an analysis model;
[0095] The analysis model is used to predict the spectral temperature and sample concentration, realize spectral temperature correction, and anal...
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