【摘要】：紅外光譜因具有快速、無(wú)損的優(yōu)點(diǎn),特別適合于不同中藥的鑒別研究�；诩t外光譜和聚類分析法對(duì)兩類黨參(共49個(gè)樣本)進(jìn)行鑒別。結(jié)果表明:在一維紅外光譜中,兩者紅外光譜圖非常相似,僅在1 738和935cm-1處有細(xì)微的差異,說(shuō)明兩者化學(xué)組分基本一致。在二階導(dǎo)數(shù)紅外光譜中,顯示了更多的紅外指紋特征,特別是1 747,1 515,1 468,1 368,1 264,1 163,1 147,1 108和936cm-1等峰的指紋特征更加明顯。進(jìn)一步采用高分辨率的二維相關(guān)紅外光譜對(duì)兩類黨參(紋黨參和白條黨參)進(jìn)行鑒別,在1 510~1 170cm-1范圍內(nèi),紋黨參的自動(dòng)峰和交叉峰形成明顯的3×3矩陣,在1 459,1 298和1209cm-1處有三個(gè)強(qiáng)自動(dòng)峰,其中1 209cm-1的自動(dòng)峰強(qiáng)度最大;而白條黨參僅在1 450cm-1處有1個(gè)強(qiáng)自動(dòng)峰,其余1 340,1 260,1209cm-1等3個(gè)自動(dòng)峰都極弱。此外,還采用K-means聚類分析技術(shù)對(duì)兩類黨參共49個(gè)樣本進(jìn)行快速分類研究,結(jié)果令人滿意。因此,紅外三級(jí)鑒定法結(jié)合K-means聚類分析技術(shù)在相似藥物的鑒別中能起到重要的作用,且有利于確保藥物臨床治療安全有效。
[Abstract]:Because of its fast and nondestructive advantages, infrared spectroscopy is especially suitable for the identification of different Chinese medicines. Two kinds of Codonopsis pilosula (49 samples) were identified by IR and cluster analysis. The results show that the infrared spectra of the two are very similar in one dimension, only slightly different at 1 738 and 935cm-1, indicating that their chemical components are basically the same. In the second derivative infrared spectrum, more infrared fingerprint features are shown, especially the fingerprint characteristics of 1 51515 / 1 468 / 1 264C / 1 163N / 1147 / 108 and 936cm-1 are more obvious than those of other peaks, such as 1 747 / 1 51515 / 1 468 / 1 668 / 1264 / 1 163N / 1147 / 1 108 and 936cm-1 etc. Two kinds of Codonopsis pilosula (Codonopsis pilosula and Codonopsis pilosula) were further identified by high resolution two-dimensional correlation infrared spectroscopy. In the range of 1 510 ~ 1 170cm-1, the automatic and cross peaks of Codonopsis pilosula formed a 3 脳 3 matrix. There are three strong automatic peaks at 1 459 and 1 298 and 1209cm-1, among which 1 209cm-1 has the largest automatic peak, while the other 3 peaks are very weak at 1 450cm-1. In addition, 49 samples of two kinds of Codonopsis pilosula were classified by K-means cluster analysis, and the results were satisfactory. Therefore, infrared triple identification combined with K-means cluster analysis can play an important role in the identification of similar drugs, and help to ensure the safety and effectiveness of drug clinical treatment.
【作者單位】： 韶關(guān)學(xué)院化學(xué)與環(huán)境工程學(xué)院;
【基金】：the National Natural Science Foundational of China(21071099) the Innovation Projects of Department of Education of Guangdong Province(2014KTSCX169) the Scientific Research project of Shaoguan University(S201501028)
【分類號(hào)】：O657.33;R284.1

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉昆元;;聚類分析法及其在分析化學(xué)中的應(yīng)用[J];分析化學(xué);1985年09期

2 蒲雪梅,魏波,李夢(mèng)龍;金屬元素的聚類分析[J];四川大學(xué)學(xué)報(bào)(自然科學(xué)版);1999年01期

3 劉昆元;俞汝勤;;聚類分析法研究廣義酸堿的分類[J];化學(xué)通報(bào);1988年03期

4 任子中;一種聚類分析方法的改進(jìn)[J];北京服裝學(xué)院學(xué)報(bào);1994年02期

5 葉茂華,李水福,胡清宇;真?zhèn)吸S芪紫外光譜的聚類分析[J];時(shí)珍國(guó)藥研究;1997年03期

6 李水福,胡清宇;紫外光譜聚類分析在中藥研究中的應(yīng)用[J];時(shí)珍國(guó)藥研究;1997年01期

7 付大友,袁東,譚文淵,向雙全;聚類分析方法用于汽油質(zhì)量研究[J];吉林化工學(xué)院學(xué)報(bào);2005年02期

8 張福良,周令;人參各部位成份差異的探索[J];數(shù)理醫(yī)藥學(xué)雜志;2004年03期

9 孫成俊，孫賢祥;氧化物分類的聚類分析法研究[J];計(jì)算機(jī)與應(yīng)用化學(xué);1995年03期

10 鐘蕾,朱斌,宓鶴鳴,陸峰,范國(guó)榮;近紅外漫反射光譜聚類分析用于血竭的鑒別[J];理化檢驗(yàn)(化學(xué)分冊(cè));2004年01期

相關(guān)碩士學(xué)位論文 前2條

1 張德鵬;基于t-SNE的氨基酸聚類分析[D];遼寧師范大學(xué);2016年

2 馬輝;乳腺病患者與健康人血清SERS的聚類分析研究[D];大連理工大學(xué);2014年

，

本文編號(hào)：2284995