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    CHEN Ziyun, PENG Mengxia. Predicition of Vitamin B6 with Models Based on Near Infrared Spectrometry[J]. PHYSICAL TESTING AND CHEMICAL ANALYSIS PART B:CHEMICAL ANALYSIS, 2022, 58(1): 13-18. DOI: 10.11973/lhjy-hx202201003
    Citation: CHEN Ziyun, PENG Mengxia. Predicition of Vitamin B6 with Models Based on Near Infrared Spectrometry[J]. PHYSICAL TESTING AND CHEMICAL ANALYSIS PART B:CHEMICAL ANALYSIS, 2022, 58(1): 13-18. DOI: 10.11973/lhjy-hx202201003

    Predicition of Vitamin B6 with Models Based on Near Infrared Spectrometry

    • The models for quantitative analysis of vitamin B6 in compound vitamin B tablets for drug and vitamin B complex tablets for health products was established respectively by near infrared spectrometry combined with partial least square (PLS) method. 6-12 tablets of compound vitamin B tablets or vitamin B complex tablets were ground and oscillated at 4 000 r·min-1 for 1 min, and the sample powder was respectively put into 3 sample cups. The near infrared spectra were collected by integrating sphere diffuse reflection analysis module. Each sample was collected 5 times, and 15 near infrared spectra were obtained. High performance liquid chromatography was used as the reference method, and different types of vitamin B tablets were used as modeling samples of the training set. In each sample, 12 spectra were used as the training set samples, and the remaining 3 spectra were used as the internal verification set samples. PLS method in TQ Analyst 9.0 was adopted, and the spectral data of the first derivative was used. 3 band ranges were selected for modeling (ranges of compound vitamin B tablets of 4 700.46-5 125.86 cm-1, 5 444.60-5 708.26 cm-1, 5 754.69-6 159.52 cm-1; ranges of vitamin B complex tablets of 4 133.67-5 512.28 cm-1, 5 944.17-6 495.08 cm-1, 8 105.85-9 005.94 cm-1). Norris derivative noise filter was used. The length of the segment was 5, and the interval between segments was 5 (compound vitamin B tablets) or 6 (vitamin B complex tablets). As shown by the results, quantitative analysis model of compound vitamin B tablets (model 2) of the corrected mean variance (RMSEC) was 0.003 0, with the corrected correlation coefficient (Rc) of 0.994 7, the predicted mean variance (RMSEP) of 0.002 9, the predicted correlation coefficient (Rp) of 0.995 4, the cross validation mean variance (RMSECV) of 0.005 2, the cross validation correlation coefficient (Rcv) of 0.994 1 and the performance index of 92.8. Quantitative analysis model of vitamin B complex tablets (model 3) of RMSEC was 0.031 4, with Rc of 0.998 7, RMSEP of 0.035 8, Rp of 0.998 7, RMSECV of 0.038 8, Rcv of 0.998 1, and the performance index of 93.5. Model 2 was used to predict the content of vitamin B6 in compound vitamin B samples, and the absolute error and the relative error of prediction values were in the ranges of -0.004 4%-0.008 0% and -1.7%-3.3%, respectively. Model 3 was used to predict the content of vitamin B6 in the vitamin B complex samples, and the absolute error and the relative error of prediction values were in the ranges of -0.007 1%-0.049 7% and -1.9%-5.0%, respectively.
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