| 引用本文: | 杨唯瀚,郝经文,黄和平,陈乃东,秦朝凤,刘东,朱富成,陈乃富.近红外漫反射光谱法快速测定蕨菜多糖含量的研究[J].中国现代应用药学,2023,40(5):597-602. |
| YANG Weihan,HAO Jingwen,HUANG Heping,CHEN Naidong,QIN Chaofeng,LIU Dong,ZHU Fucheng,CHEN Naifu.Rapid Determination of Polysaccharide in Pteridium Aquilinum by Near Infrared Diffuse Reflectance Spectroscopy[J].Chin J Mod Appl Pharm(中国现代应用药学),2023,40(5):597-602. |
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| 近红外漫反射光谱法快速测定蕨菜多糖含量的研究 |
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杨唯瀚1,2, 郝经文1,2,3, 黄和平1, 陈乃东1,2,3, 秦朝凤1,2, 刘东2,3, 朱富成2,3, 陈乃富2,3
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1.安徽中医药大学药学院, 合肥 230012;2.皖西学院生物与制药工程学院, 安徽 六安 237012;3.安徽省中药资源保护与持续利用工程实验室, 安徽 六安 237012
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| 摘要: |
| 目的 构建运用近红外光谱快速测定蕨菜总多糖含量的方法。方法 收集蕨菜样品140份，采用近红外光谱分析技术，采集11500~4000 cm-1内的近红外光谱。以蒽酮-硫酸比色法测定的总多糖含量作为参比值，以偏最小二乘法构建蕨菜总多糖定量分析模型。比较不同的光谱预处理方法(包括消除常数偏移量法、直线差值法、最值归一化法、多元散射校正法、标准正态变换法、一阶导数法、二阶导数法、多元散射校正+一阶导数法以及标准正态变换+一阶导数法)对定量分析模型的影响，确定最佳光谱预处理方法；并对建模的波段进行了优化。结果 选择标准正态变换法对原始光谱数据进行预处理，选择4450~4300cm-1，5250~4700 cm-1，7500~5750 cm-1，10000~9000 cm-1作为建模波段，获得最优模型，相关系数R2=0.9851，交叉验证均方根误差RMSECV为0.129%。完全外部验证显示，构建的模型对蕨菜多糖含量预测回收率平均为100.13%。结论 所建快速预测模型能够准确测定蕨菜总多糖含量，可为其他中药材主要成分含量快速测定提供候选方法。 |
| 关键词: 蕨菜 近红外光谱分析 总多糖 快速测定 |
| DOI：10.13748/j.cnki.issn1007-7693.20220928 |
| 分类号:R917.101 |
| 基金项目:国家自然科学基金项目(81573536，81274021)；皖西学院校级科研重点项目(WXZR202029，WXZR202034) |
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| Rapid Determination of Polysaccharide in Pteridium Aquilinum by Near Infrared Diffuse Reflectance Spectroscopy |
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YANG Weihan1,2, HAO Jingwen1,2,3, HUANG Heping1, CHEN Naidong1,2,3, QIN Chaofeng1,2, LIU Dong2,3, ZHU Fucheng2,3, CHEN Naifu2,3
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1.School of Pharmacy, Anhui University of Traditional Chinese Medicine, Hefei 230012, China;2.College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an 237012, China;3.Anhui Engineering Laboratory for Conservation and Sustainable Utilization of Traditional Chinese Medicine Resource, Lu'an 237012, China
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| Abstract: |
| OBJECTIVE To construct a rapid prediction method for the determination of total polysaccharide content in Pteridium aquilinum by near-infrared spectroscopy. METHODS A total of 140 samples were collected, and the infrared spectrum in the range of 11500-4000 cm-1 was collected by near-infrared spectroscopy technology through near-infrared diffuse reflection. The total polysaccharide content was determined by anthrone-sulfuric acid method as the actual value. The quantitative analysis model was established using the partial least squares method. The effects of different spectral preprocessing methods (including constant offset elimination, straight line subtraction, max min normalization, multiplication signal correction, standard normal variable, first derivative, second derivative, multiple scattering correction+first derivative method and standard normal variate + first derivative method) on the quantitative analysis model were compared to determine the best spectral pretreatment method, and to optimize the band of modeling. RESULTS The results show that when the standard normal variable method was used as the spectral data preprocessing method, 4450-4300 cm-1, 5250-4700 cm-1, 7500-5750 cm-1, 10000-9000 cm-1 were used as the interval bands, this model had the best performance, detection model R2 and RMSECV were 0.985 1 and 0.129%, respectively. Through complete external validation, the average predicted recovery rate of the model was 100.13%. CONCLUSION The established rapid prediction model can accurately determine the total polysaccharide content of pteridium aquilinum, and can provide a candidate method for rapid determination of the main components of other traditional Chinese medicine. |
| Key words: Pteridium aquilinum NIRS total polysaccharides rapid determination |
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