Method for quantitatively analyzing content of sorbose in fermentation broth
A quantitative analysis, sorbose technology, applied in the direction of analyzing materials, material analysis by optical means, measuring devices, etc., can solve the problems of long time consumption and complicated operation process, and achieve short time consumption, simple operation process and high detection efficiency. Effect
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Embodiment 1
[0027] Such as Figure 1-2 As shown, the embodiment of the present invention provides a method for quantitative analysis of sorbose content in fermented liquid, comprising the following specific steps:
[0028] S1. First establish the orthogonal signal spectrum preprocessing algorithm, the algorithm process is as follows: first standardize the original calibration set spectral matrix X and the information matrix Y to be measured;
[0029] S2. Calculate M=I-X'Y(Y'XX'Y) -1 Y'X, I is the identity matrix;
[0030] S3. Calculate Z=X;
[0031] S4. Perform singular value decomposition on ZZ', and extract the first p eigenvalues g that require orthogonal processing i and the corresponding eigenvector C i ;
[0032] S5. Calculate the weight vector w i =MX'C i g i ;
[0033] S6. Calculate the score vector t i =C i g i ;
[0034] S7. Calculate load vector p i =X't i (t i 't i );
[0035] S8. Subtract the quadrature signal from X: X 0x =X-∑t i p' i ;
[0036] S9. F...
Embodiment 2
[0040] In this embodiment, on the basis of Embodiment 1, a group of experiments are carried out, and the experimental steps are as follows:
[0041]1. Sample collection: Take samples of the 8-hour fermentation time between the 12th hour and the 20th hour of the fermentation process. The first 30 samples are taken every 10 minutes, and the last 30 samples are taken every 5 minutes. The total sampling 60, packed in glass test tubes, placed in the freezer after scanning the spectrum. Spectrum collection: put the fermentation broth into a sample cup, and use a GSA103 near-infrared spectrometer for spectrum collection. Randomly select 50 samples from the spectra of 60 samples for modeling, and the remaining 10 samples will not participate in the modeling as external verification samples to verify the accuracy of the model;
[0042] 2. Collect the original spectrum of the sample and preprocess it with the orthogonal signal correction algorithm to obtain the following: figure 1 Pre...
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