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药食两用中药菊花中多糖的快速质量评价方法学研究

时间:2020-06-26 09:28来源:毕业论文
采用近红外光谱(NIRS)结合化学计量学的方法,充分利用NIRS快速、无损、非破坏性、高效等的特点,从样本直接获取分析信息,最大限度地保留不同产地的同类中药材样本之间的微小差

摘要菊花是我国传统的药食两用药材,常见的有“亳菊”、“滁菊”、“贡菊”、“杭白菊”等。不同来源的菊花药材品质各不相同,造成了目前市场上药材质量不稳定,影响药材及其制剂的生产和临床使用。本实验采用近红外光谱(NIRS)结合化学计量学的方法,充分利用NIRS快速、无损、非破坏性、高效等的特点,从样本直接获取分析信息,最大限度地保留不同产地的同类中药材样本之间的微小差异。实验的主要研究内容包括:(1)收集不同来源的菊花药材;(2)对不同来源菊花中的总多糖成分进行含量测定;(3)样品NIRS光谱的采集;(4)建模方法的选择;(5)光谱预处理方法的选择;(6)模型评价与预测。建立了菊花中多糖NIR的PLS校正模型,以MSC法结合2D法、ND法对NIR原始光谱进行预处理,最佳潜变量数为6,所建立模型的相关系数(R)0.8329,校正误差均方根(RMSEC)为0.0586,预测误差均方根(RMSEP)为0.104,预测值和真实值之间相关性较好,说明所建立的PLS模型能够有效地预测未知含量的菊花样品中多糖的含量。该方法的建立将对菊花的快速质量评价体系的研究提供一定的科学依据。51648
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 药食两用中药菊花中多糖的快速质量评价方法学研究:http://www.lwfree.com/shiping/lunwen_55360.html
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