THz-TDS combined with a fuzzy rule-building expert system applied to the identification of official rhubarb samples
THz-TDS combined with a fuzzy rule-building expert system applied to the identification of official rhubarb samples
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THz-TDS结合模糊规则构建专家系统应用于官方大黄样品的鉴定
DOI：
10.1039/c4ay00555d
复制
发表时间：
2014-09
影响因子：
3.1
通讯作者：
Harrington, Peter de B.
中科院分区：
文献类型：
--
作者：
Zhang, Zhuoyong;Zhang, Zhenwei;Xiang, Yuhong;Harrington, Peter de B.
将太赫兹时域光谱（THz-TDS）作为一种新的无损检测方法应用于41种官方和非官方大黄样品的鉴定。对大黄样品的太赫兹时域谱进行预处理，利用模糊规则构建专家系统（FuRES）建立识别模型。采用10个bootstrap和4个Latin-partitions的bootstrap Latin-partitions （BLPs）方法对模型进行了验证。结果表明，采用Savitzky-Golay （S-G）一阶导数与两种正交信号校正（OSC）方法中的任意一种相结合的预处理方法，该模型具有较好的预测能力，分类准确率分别为94.8±0.5%和95.2±0.1%。结果表明，THz-TDS结合化学计量学可用于鉴别中药材的正品和假品，以及大黄的正品和假品。
Terahertz time-domain spectroscopy (THz-TDS) as a new non-destructive testing method has been applied to the identification of 41 official and unofficial rhubarb samples in the present work. The THz time domain spectra of rhubarb samples were preprocessed and then used to establish an identification model by using fuzzy rule-building expert systems (FuRES). The model was validated using a bootstrapped Latin-partitions (BLPs) method with 10 bootstraps and 4 Latin-partitions. The obtained results showed that the model has good predictive ability with respect to the classification accuracy of 94.8 ± 0.5% and 95.2 ± 0.1% by using the preprocessing methods of Savitzky–Golay (S–G) first derivative combined with either one of two orthogonal signal correction (OSC) methods, respectively. The proposed method showed that THz-TDS combined with chemometrics can be used to identify genuine and counterfeit Chinese herbal medicines, as well as official and unofficial rhubarb.
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DOI：
10.1002/pca.957
发表时间：
2007-03
期刊：
Phytochemical analysis : PCA
影响因子：
--
作者：
Zhuoyong Zhang;Yamin Wang;Guo-qiang Fan;P. Harrington
通讯作者：
Zhuoyong Zhang;Yamin Wang;Guo-qiang Fan;P. Harrington
影响因子：
6.1
作者：
Fengxia Wang;Zhuoyong Zhang;Xiujun Cui;Peter de B. Harrington
通讯作者：
Fengxia Wang;Zhuoyong Zhang;Xiujun Cui;Peter de B. Harrington
DOI：
10.1002/pca.654
发表时间：
2002-09
期刊：
Phytochemical analysis : PCA
影响因子：
--
作者：
L. Xiang;Guo-qiang Fan;Junhui Li;Hui Kang;Yanlu Yan;Jun-hua Zheng;D. Guo
通讯作者：
L. Xiang;Guo-qiang Fan;Junhui Li;Hui Kang;Yanlu Yan;Jun-hua Zheng;D. Guo
影响因子：
6.2
作者：
Wan, CH;Harrington, PD
通讯作者：
Harrington, PD
影响因子：
13.1
作者：
Harrington, Peter de Boves
通讯作者：
Harrington, Peter de Boves