药食两用中药菊花中多糖的快速质量评价方法学研究
Abstract Chrysanthemum is a traditional Chinese medicinal and edible herbs, common "Bo chrysanthemum", "Chu Ju", "Chrysanthemum", "Chrysanthemum" and so on. The quality of chrysanthemum from different sources is different, resulting in the current market quality is not stable, affecting the production and clinical use of Chinese medicinal materials and their preparations. This experiment using near infrared spectroscopy (NIRS) combined with chemometric methods, make full use of NIRS rapid, non-destructive, non destruction and high efficiency characteristics, from a sample of direct access to information analysis, the maximum retention in different habitats of similar medicinal samples between small differences. The main research content includes: (1) collected from different sources of Flos Chrysanthemi; (2) of different sources of chrysanthemum total polysaccharide components were determined. The collection of sample NIRS; (4) modeling method of choice; (5) spectral pre processing method of choice; (6) model for evaluation and prediction. Established in chrysanthemum polysaccharide NIR PLS calibration model, to the MSc method combined with 2D method, nd method on the original NIR spectra pretreatment, optimal number of latent variables is 6, the model of the correlation coefficient (R) 0.8329, correction of root mean square error (RMSEC) 0.0586 to predict root mean square error of prediction (RMSEP) was 0.104 predicted value and true value of good correlation, indicating a PLS model can effectively predict the content of polysaccharide in Chrysanthemum samples of unknown content. The establishment of this method will provide a scientific basis for the study of the rapid quality evaluation system of chrysanthemum.
毕业论文关键词：菊花; 多糖; 近红外光谱法
Key words: Chrysanthemum morifoliumRamat; polysaccharide; NIRS;
缩略词表
1D first derivative 一阶导数
2D second derivative 二阶导数
A absorbance 吸光度
C content 含量
S origial spectra value 原始光谱值
n sample number 样本数
NIR near infrared spectra 近红外光谱
NIRS near infrared spectroscopy 近红外光谱法
OS origial spectra 原始光谱
PCR principle component regression 主成分回归