Study on the Identification of Radix Bupleuri from Its Unofficial Varieties Based on Discrete Wavelet Transformation Feature Extraction of ATR-FTIR Spectroscopy Combined with Probability Neural Network
The attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) was employed to acquire the infrared spectra of Radix Bupleuri and its unofficial varieties: the root of Bupleurum smithii Wolff and the root of Bupleurum bicaule Helm. The infrared spectra and spectra of Fourier self...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Analytical Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2015/950209 |
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| author | Wenying Jin Chayan Wan Cungui Cheng |
| author_facet | Wenying Jin Chayan Wan Cungui Cheng |
| author_sort | Wenying Jin |
| collection | DOAJ |
| description | The attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) was employed to acquire the infrared spectra of Radix Bupleuri and its unofficial varieties: the root of Bupleurum smithii Wolff and the root of Bupleurum bicaule Helm. The infrared spectra and spectra of Fourier self-deconvolution (FSD), discrete wavelet transform (DWT), and probability neural network (PNN) of these species were analyzed. By the method of FSD, there were conspicuous differences of the infrared absorption peak intensity of different types between Radix Bupleuri and its unofficial varieties. But it is hard to tell the differences between the root of Bupleurum smithii Wolff and the root of Bupleurum bicaule. The differences could be shown more clearly when the DWT was used. The research result shows that by the DWT technology it is easier to identify Radix Bupleuri from its unofficial varieties the root of Bupleurum smithii Wolff and the root of Bupleurum bicaule. |
| format | Article |
| id | doaj-art-4a59594bade94921b32697f0711e19b0 |
| institution | Kabale University |
| issn | 1687-8760 1687-8779 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Analytical Chemistry |
| spelling | doaj-art-4a59594bade94921b32697f0711e19b02025-02-03T00:59:32ZengWileyInternational Journal of Analytical Chemistry1687-87601687-87792015-01-01201510.1155/2015/950209950209Study on the Identification of Radix Bupleuri from Its Unofficial Varieties Based on Discrete Wavelet Transformation Feature Extraction of ATR-FTIR Spectroscopy Combined with Probability Neural NetworkWenying Jin0Chayan Wan1Cungui Cheng2Department of Computer Engineering, Yiwu Industrial and Commercial College, Yiwu 322000, ChinaCollege of Chemistry and Life Science, Zhejiang Normal University, Yingbin Avenue 688, Jinhua 321004, ChinaCollege of Chemistry and Life Science, Zhejiang Normal University, Yingbin Avenue 688, Jinhua 321004, ChinaThe attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) was employed to acquire the infrared spectra of Radix Bupleuri and its unofficial varieties: the root of Bupleurum smithii Wolff and the root of Bupleurum bicaule Helm. The infrared spectra and spectra of Fourier self-deconvolution (FSD), discrete wavelet transform (DWT), and probability neural network (PNN) of these species were analyzed. By the method of FSD, there were conspicuous differences of the infrared absorption peak intensity of different types between Radix Bupleuri and its unofficial varieties. But it is hard to tell the differences between the root of Bupleurum smithii Wolff and the root of Bupleurum bicaule. The differences could be shown more clearly when the DWT was used. The research result shows that by the DWT technology it is easier to identify Radix Bupleuri from its unofficial varieties the root of Bupleurum smithii Wolff and the root of Bupleurum bicaule.http://dx.doi.org/10.1155/2015/950209 |
| spellingShingle | Wenying Jin Chayan Wan Cungui Cheng Study on the Identification of Radix Bupleuri from Its Unofficial Varieties Based on Discrete Wavelet Transformation Feature Extraction of ATR-FTIR Spectroscopy Combined with Probability Neural Network International Journal of Analytical Chemistry |
| title | Study on the Identification of Radix Bupleuri from Its Unofficial Varieties Based on Discrete Wavelet Transformation Feature Extraction of ATR-FTIR Spectroscopy Combined with Probability Neural Network |
| title_full | Study on the Identification of Radix Bupleuri from Its Unofficial Varieties Based on Discrete Wavelet Transformation Feature Extraction of ATR-FTIR Spectroscopy Combined with Probability Neural Network |
| title_fullStr | Study on the Identification of Radix Bupleuri from Its Unofficial Varieties Based on Discrete Wavelet Transformation Feature Extraction of ATR-FTIR Spectroscopy Combined with Probability Neural Network |
| title_full_unstemmed | Study on the Identification of Radix Bupleuri from Its Unofficial Varieties Based on Discrete Wavelet Transformation Feature Extraction of ATR-FTIR Spectroscopy Combined with Probability Neural Network |
| title_short | Study on the Identification of Radix Bupleuri from Its Unofficial Varieties Based on Discrete Wavelet Transformation Feature Extraction of ATR-FTIR Spectroscopy Combined with Probability Neural Network |
| title_sort | study on the identification of radix bupleuri from its unofficial varieties based on discrete wavelet transformation feature extraction of atr ftir spectroscopy combined with probability neural network |
| url | http://dx.doi.org/10.1155/2015/950209 |
| work_keys_str_mv | AT wenyingjin studyontheidentificationofradixbupleurifromitsunofficialvarietiesbasedondiscretewavelettransformationfeatureextractionofatrftirspectroscopycombinedwithprobabilityneuralnetwork AT chayanwan studyontheidentificationofradixbupleurifromitsunofficialvarietiesbasedondiscretewavelettransformationfeatureextractionofatrftirspectroscopycombinedwithprobabilityneuralnetwork AT cunguicheng studyontheidentificationofradixbupleurifromitsunofficialvarietiesbasedondiscretewavelettransformationfeatureextractionofatrftirspectroscopycombinedwithprobabilityneuralnetwork |