检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:魏梦凌 王兰 单圣男 解玫莹 杨青山 程旺兴 WEI Mengling;WANG Lan;SHAN Shengnan;XIE Meiying;YANG Qingshan;CHENG Wangxing(School of Pharmacy,Anhui University of Chinese Medicine,Hefei 230012,China)
出 处:《中医药学报》2023年第8期42-49,共8页Acta Chinese Medicine and Pharmacology
基 金:安徽省重点研究和开发计划项目(201904a07020073)。
摘 要:目的:根据红外光谱的吸收,测定不同产地的连翘,从而为连翘道源产地和质量评价提供依据。方法:收集6个省份66批连翘药材的红外光谱数据,利用多元散射校正(multiplicative signal correction,MSC)、标准正态变量(standard normal variate,SNV)、平滑滤波(Savitzky-Golay,SG)、一阶导数(first derivative,FD)、二阶导数(second derivative,SD)及其组合方法对原始光谱进行预处理,选择最佳预处理方式;利用主成分-马氏距离法和簇类独立软模式法(SIMCA)及偏最小二乘判别分析(PLS-DA)等化学计量学方法对连翘产地进行鉴别研究。结果:利用主成分-马氏距离法、SIMCA分类模型和PLS-DA模型实现了不同产地连翘的100%正确识别。结论:傅里叶变换红外光谱(FT-IR)结合化学计量学方法可以为不同产地的连翘鉴别提供一种新的分析方法。Objective:To provide a basis for the origin and quality evaluation of Forsythia suspensa from different regions according to the absorption of infrared spectrum.Methods:The middle infrared spectrum data of 66 batches of Forsythia suspensa from 6 provinces were collected,the original spectra was preprocessed by using multiplicative signal correction(MSC),standard normal variate(SNV),Savitzky-Golay smoothing filter(SG),first derivative(FD),second derivative(SD)and their combination methods to select the optimal preprocessing method.Principal component-Mahalanobis distance method,SIMCA method and PLS-DA method were used to identify the origins of forsythia suspensa.Results:The identification of Forsythia suspensa from different origins was achieved with 100%accuracy by principal component-Mahalanobis distance method,SIMCA classification model and PLS-DA model.Conclusion:Fourier transform infrared(FT-IR)spectroscopy combined with stoichiometry can provide a new analytical method for the identification of Forsythia suspensa from different origins.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7