[5] 林冠宇， 姚楠， 何蓉蓉， 等.淡竹葉總黃酮對拘束負荷所致小鼠肝損傷的保護作用[J]. 中國實驗方劑學雜誌， 2010， 16（7）：177.
[6] 李誌洲. 淡竹葉多糖的提取及體外抗氧化性研究[J]. 中成藥， 2008， 30（3）：434.
[7] 汪計珠. 淡竹葉、鴨蹠草、竹葉菜及淡竹之葉的鑒別考證[J]. 中藥通報， 1956， 2（5）：178.
[8] 袁加才， 李愛華， 宋娟. 鴨蹠草的本草考證[J]. 南京中醫藥大學學報， 1995， 11（3）：35.
[9] 王友川. 淡竹葉查考[J]. 中國藥店， 2004， 2（35）：88.
[10] 黃冬蘭， 陳小康， 徐永群， 等. 溪黃草不同部位的紅外光譜分析與評價[J]. 中成藥，2013（1）：113.
[11] Liu X H， Xu C H， Sun S Q， et al. Discrimination of different genuine Danshen and their extracts by Fourier transform infrared spectroscopy combined with two-dimensional correlation infrared spectroscopy [J]. Spectrochim Acta A， 2012， 97：290.
[12] Huang A M， Zhou Q， Liu J L， et al. Distinction of three wood species by Fourier transform infrared spectroscopy and two-dimensional correlation IR spectroscopy [J]. J Mol Struct， 2008， 883：160.
[13] 周曄， 李佩孚， 張慶偉， 等. 傅裏葉紅外光譜法鑒別部分黃精屬生藥的研究[J]. 光譜學與光譜分析， 2013（7）：1791.
[14] 蒲豔春， 吳方評， 楊勇， 等. 雙指標序列分析法分析吳茱萸的紅外指紋圖譜[J]. 中藥材， 2012（10）：1586.
[15] 鄒華彬. 雙指標信息顯著相似序列聚類分析桂附地黃丸、金匱腎氣丸無水乙醇提取物紅外指紋圖譜[J]. 中國中藥雜誌， 2009，34（18）：2325.
[16] 張誌祥， 劉鵬， 康華靖，等. 基於主成分分析和聚類分析的FTIR不同地理居群香果樹多樣性分化研究[J]. 光譜學與光譜分析， 2008（9）：2081.
Multi-level identification and analysis about infrared
spectroscopy of Lophatheri Herba
SHAO Ying， WU Qi-nan*， GU Wei， YUE Wei， WU Da-wei， FAN Xiu-he
（Collaborative Innovation Center of Chinese Medicinal Resources Industrialization of Jiangsu Province，
Nanjing University of Chinese Medicine， Nanjing 210023， China）
[Abstract] Based on the infrared spectra of Lophatheri Herba and Commelinae Herba， one-dimensional infrared spectra， second derivative spectra and two-dimensional correlated spectra were used to find out the differences between Lophatheri Herba and its imitations， respectively. The common peak ratio and variant peak ratio dual-indexes sequential were calculated and established according to infrared spectra of eleven batches of herbs. Infrared spectral data of Lophatheri Herba cluster analysis was applied to explore the similarity between each sample. The grouping results trend of sequential analysis of dual-indexes and cluster analysis was accordant. The results showed that the differences could be found by multi-level identification， and the source and the quality of the herbs could be effectively distinguished by the two analysis methods. Infrared spectroscopy， used in the present work exhibited some advantages on quick procedures， less sample required， and reliable results， which could provide a new method for the identification of traditional Chinese medicine with the imitations and adulterants， and the control of quality and origin.
[Key words] Lophatheri Herba； infrared print； second derivative spectra； two-dimensional correlated spectra； sequential analysis of dual-indexes； cluster analysis
doi：10.4268/cjcmm20140920