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Year : 2012  |  Volume : 8  |  Issue : 30  |  Page : 107-111  

Identification of four Sedum plant medicines by Fourier transform infrared spectra

1 College of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
2 College of Chinese Medicine, China Pharmaceutical University, Nanjing, China
3 College of Pharmacy, South-Central University for Nationalities, Wuhan, China

Date of Submission18-May-2011
Date of Acceptance28-Sep-2011
Date of Web Publication23-May-2012

Correspondence Address:
Dingrong Wan
College of Pharmacy, South-Central University for Nationalities, Wuhan, Hubei Province-430074
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0973-1296.96551

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Background: Sedum sarmentosum bunge (SSB)., S. lineare Thunb. (SLT), S. erythrostictum migo. (SEM), and S. aizoon L. (SAL) were four widely used Chinese traditional drugs or ethnic drugs, which were easy to be confused with each other. Objective: This study aimed at developing a rapid and accurate method to identify the four Sedum plant medicines with very similar appearances and close relationships. Materials and Methods: The herbal medicines employed here were SSB, SLT, SEM, and SAL collected in different places and seasons. Through comparing the infrared (IR) spectra of their 70% ethanol extracts, the results showed that the IR spectra of the four plant medicines possessed not only some common characteristics but also certain notable distinctions, such as shapes, numbers, positions, intensity, and ratios of the absorbing peaks. Results: By Fourier transform infrared (FT-IR) spectroscopy, the four medicines could be effectively differed, their habitats could be judged preliminarily, and the genetic relationships of the original plants of the four medicines could also be estimated to some extent. Conclusion: The application of FT-IR spectroscopy in crude medicine authentication and quality evaluation deserved to be further emphasized.

Keywords: Ethanol extracts, Fourier transform infrared spectrum identification, Sedum plant medicines

How to cite this article:
Xu R, Chen Y, Wan D, Wang J. Identification of four Sedum plant medicines by Fourier transform infrared spectra. Phcog Mag 2012;8:107-11

How to cite this URL:
Xu R, Chen Y, Wan D, Wang J. Identification of four Sedum plant medicines by Fourier transform infrared spectra. Phcog Mag [serial online] 2012 [cited 2022 Oct 5];8:107-11. Available from: http://www.phcog.com/text.asp?2012/8/30/107/96551

   Introduction Top

Since IR (infrared) spectrum is a simple, rapid technique with marked characteristics and high reproducibility, it has been widely used in authentication studies involved plants and plant medicines, [1],[2],[3],[4],[5],[6],[7],[8] food additives, [9] pollen, [10] as well as crude drug preparations. [11]

It is well known that the quality of a herbal medicine is related to its original plant and habitat. As widely used ethnic drugs by the Tujia Nationality, the whole plants of Sedum sarmentosum Bunge. (SSB), S. lineare Thunb. (SLT), S. erythrostictum Migo. (SEM), and S. aizoon L. (SAL) could all cure of hemostasis. At the same time, the first three are also applied for hepatitis, dysentery, herpes zoster, and swelling while the last can eliminate stagnant blood and smooth the nerves. Despite some studies reported on identification of the plants from the same genus by the IR spectrum, [2],[3],[4],[5] this research employed the technique in authentication of SSB, SLT, SEM, and SAL collected in different periods and harvests [Table 1], whose appearances resembled and relationships approached.
Table 1: Sedum plant drug samples and their sources

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   Materials and Methods Top

and reagents

Twenty-one samples of the four drugs were collected in different months from various habitats such as "Tiantangzhai" of Luotian County; "Hongshan", "Sheshan", and "South-Central University for Nationalities (SCUN)" in Wuhan City in East Hubei; "Wuduhe" of Yiling, Yichang City and Jianshi County of Enshi Autonomous Prefecture in West Hubei [Table 1]. They were, respectively, identified as SSB, SLT, SEM, and SAL by Professor Wan Dingrong from College of Pharmacy, SCUN. The relevant specimens were deposited in pharmacognosy laboratory of pharmaceutical college of SCUN. The ethanol employed here was analytical reagent.

FT-IR spectroscopy

NEXUS 470 intelligent Fourier transform infrared (FT-IR) spectrometer (American NICOLET) with a resolving powder of 16 cm−1 , spectrum range of 4000-400 cm−1 , and scanning accumulative limitation of 32 times, was used for the analysis of all the samples in the experiments.

Sample preparation and spectrum measurement

About 1 g of coarse powder of every sample was taken with a certain ratio of stem to leaf, then 20 ml 70% ethanol was added, respectively. Followed with ultrasonic treatment for 40 min and percolation, the filtrate was steamed into thick paste and dried at 60°C to a constant weight. After that, 1.5 mg of the dried powder (100 mesh) was taken and grinded with 300 mg KBr under IR light till evenly mixed. Then the mixture was crushed in a mechanical mold to form a tablet with a diameter of 3 mm and a thickness of 0.6 mm. Finally, the spectrum of an extract could be gained by scanning the sample tablet immediately.

   Results Top

common peaks shared by the samples

Because the four drugs were all from Sedum and the original plants had closed relationships and similar components with each other, the obtained IR spectra entirely exhibited a great consistency in general. There were six common absorbing bands: 3403 ± 25 cm−1 , 2930 ± 8 cm−1 , 2849 ± 6 cm−1 (shoulder peak), 1622 ± 14 cm−1 , 1387 ± 4 cm−1 , and 613 ± 11 cm−1 [Figure 1].
Figure 1: IR spectra of ethanol extracts of four Sedum plant drugs. (A) SSB, (B) SLT, (C) SEM, and (D) SAL

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Differences among species

Although the spectra of the four drug samples were almost alike, each of them still bore its own characters such as different peak shapes, numbers, positions, and intensity.

In detail, the SAL samples harvested in different seasons and places possessed common moderate intensive peaks at 1451 ± 2 cm−1 , 1224 ± 9 cm−1 , 1039 ± 4 cm−1 and an obvious weak peak at 873 cm−1 , while the other three had none. At 1183 ± 9 cm−1 , the four SLT samples held their own characteristic absorbing peaks; opposite with SLT, shoulder peaks were absent on the left of the peak at 1066 ± 11 cm−1 among SEM samples. The ratios of A1622 ± 14 to A1385 ± 2 of SEM samples collected in various months and habitats were generally lower than 0.78 with an average value of 0.70, while those of SSB were mostly above 0.82 with an average value of 1.00. Significant differences of the both were shown after statistics procession (P < 0.01). Thus, the ratios could also be used to differ SEM and SSB [Figure 1].

In the spectra of SSB and SLT samples, all the peaks in characteristic regions of 4000-1250 cm−1 showed great identity in numbers, positions, and relative intensity, plus that common peaks at 830 ± 6 cm−1 and 538 ± 18 cm−1 of fingerprint regions were almost similar with each other, revealing a close relationship between the two. However, certain stable distinctions could still be found. All the SSB samples retained an obvious weak peak at 1261 ± 6 cm−1 while SLT did not; SSB hardly owned a shoulder peak on the left of the peak located at 1070 ± 6 cm−1 while SLT kept 2 (sometimes 1) on the same side.

Besides, the peak numbers, positions, shapes of SEM were more resembling with SSB and SLT, suggesting a more closed relationship with them compared with SAL. This was consisted with the similarity shown on the level of plant morphology, anatomy, and molecular biology. [12],[13],[14]

All these supported the traditional clinical utilization of the four herbal drugs from the aspect of preliminary comprehensive information of components.

The spectrum disparities among samples of the same plant drug from different habitats

Certain disparities existed among the samples of the same plant drug (SSB or SEM) from different places. The IR spectra of SSB showed a certain correlated relation between the positions, intensity or ratios of some peaks, and the habitats. As for the positions, a number of samples collected in SCUN and Sheshan in Wuhan City, East Hubei, held absorbing bands at 1628 ± 8 cm−1 , which moved to 1613 ± 8 cm−1 in the spectra of another three samples gained in Jianshi, West Hubei. After statistics processing, significant differences of the both were shown (P < 0.05). As for the ratios, the ratios of A1628 ± 8 to A1387 ± 4 of SSB samples harvested in East Hubei were usually lower than 1 with an average value of 0.86, but the ratios of A1613 ± 8 to A1385 ± 2 (corresponding with the ratios mentioned before) of those from the west were all above 1 with an average value of 1.11 [Figure 2]. Significant differences of the both were testified by statistics procession (P < 0.05). The same happened to SEM too: the three samples harvested in different months in West Hubei bore peaks at 3380 ± 2 cm−1 , which changed to 3407 ± 17 cm−1 when those were collected in the east [Figure 3].
Figure 2: IR spectra of ethanol extracts of SSB from different habitats. (A) Jianshi (060427), (B) Jianshi (060620), (C) Jianshi (061119), (D) SCUN (060328), and (E) Sheshan (060403)

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Figure 3: IR spectra of ethanol extracts of SEM from different habitats. (A) Jianshi (060427), (B) Jianshi (060627), (C) Jianshi (061125), (D) Sheshan (060403), (E) Sheshan (060720), and (F) Sheshan (061004).

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   Discussion Top

Compared with the traditional identification methods, the FT-IR spectroscopy had plenty of advantages. It possessed strong characteristic sense, required low quantity of samples, and was also rapid, simple, and accurate. As the relevant plant drugs from the same family or genus were originally intimate with each other, sometimes they were hardly able to be fast and accurately identified by conventional means. Nevertheless, a rapid and effective identification method for these drugs (including their habitats) could be developed through comparing the peak positions, intensities ratios, and observing whether certain absorbing bands exit or not in their IR spectra.

As components contained in a herbal drug were various and complicated, the peak shape and intensity of IR spectrum were often influenced by interactions among the same or different functional groups. Hence, objective and repeatable IR spectra could be attained as long as the compositions of the plant drugs were relatively stable both in quality and quantity and the samples were all prepared in the same way.

This study also indicated that the sample extraction technique could effectively settle some difficult problems. Since plenty of ordinary components such as protein and polysaccharide (cellulose) were often contained in various herbal drugs, common absorbing bands generated usually disturbed identification. Nevertheless, the extraction technique could effectively exclude these disturbances. For example, to enrich the unique compositions of each medicine, this study selected 70% ethanol as the solvent to carry out the experiments.

Thus, the overall composition characteristics of the four plant drugs could be attained to a certain extent by the IR spectrum, suggesting this technique was worthy of more attention in identification and quality estimation of plant drugs.

   Acknowledgments Top

The authors gratefully acknowledge the State Ethnic Affairs Commission of China for the financial support (Grant No. 05ZN01).

   References Top

1.Yap KY, Lai TK, Chan SY, Lim CS. Infrared authentication of ginseng species: The use of the 2-6PC rule. J AOAC Int 2009;92:672-9.  Back to cited text no. 1
2.Wu YW, Xiao XH, Sun SQ, Liu HX. Study on traditional Chinese medicine extracts of rhizome coptidis by FTIR spectroscopy. Guang Pu Xue Yu Guang Pu Fen Xi 2009;29:93-6.  Back to cited text no. 2
3.Pei LK, Guo BL, Sun SQ, Huang WH. Study on the identification of some species of Herba Epimedii with FTIR. Guang Pu Xue Yu Guang Pu Fen Xi 2008;28:55-60.   Back to cited text no. 3
4.Nie B, Zhang GJ, Sun SQ, Zhou Q, Ding WL. Identification study of different Flos Trollii by IR. Zhong Yao Cai 2006;29:323-6.  Back to cited text no. 4
5.Peng Y, Sun SQ, Zhao ZZ, Leung HW. A rapid method for identification of genus lycium by FTIR spectroscopy. Guang Pu Xue Yu Guang Pu Fen Xi 2004;24:679-81.  Back to cited text no. 5
6.Xu L, Suritalatu, Xi HS, Bi KS, Sun W. Identification study of Momgolian herbal medicine Rubus Schalinesis Lebeille and its forgeries by UV/fluorescence/IR spectroscopy. Guang Pu Xue Yu Guang Pu Fen Xi 2006;26:448-51.  Back to cited text no. 6
7.Kolomiets O, Hoffmann U, Geladi P. Quantitative determination of pharmaceutical drug formulations by near-infrared spectroscopic imaging. Appl Spectrosc 2008;62:1200-8.  Back to cited text no. 7
8.Strgulc Krajsek S, Buh P, Zega A. Identification of herbarium whole-leaf samples of Epilobium species by ATR-IR spectroscopy. Chem Biodivers 2008;5:310-7.  Back to cited text no. 8
9.Kitamura Y, Iwasaki T, Saito M, Mifune M, Saito Y, Sato K, et al. Standard infrared absorption spectrum of betaine and optimal conditions for its measurement. Shokuhin Eiseigaku Zasshi 2006;47:232-6.  Back to cited text no. 9
10.Pappas CS, Tarantilis PA, Harizanis PC, Polissiou MG. New method for pollen identification by FT-IR spectroscopy. Appl Spectrosc 2003;57:23-7.  Back to cited text no. 10
11.Zuo L, Sun S, Zhou Q, Tao J, Noda I. 2D-IR correlation analysis of deteriorative process of traditional Chines medicine 'Qing Kai Ling' injection. J Pharm Biomed Anal 2003;30:1491-8.  Back to cited text no. 11
12.Xu R, Wan DR, Zhao L, Chen Y, Luo H. Studies on Identification of Sedum emarginatum. Zhong Yao Cai 2008;31:660-2.  Back to cited text no. 12
13.Dingrong W, Ran X, Yujuan W. Comparison and identification of Herba Sedi and Herba Sedi Linearis. Chin J Tradit Chin Med Pharm 2008;23:201-4.  Back to cited text no. 13
14.Huajie W, Ran X, Dingrong W, Yan C. RAPD analysis of genetic diversity of sedum medicinal plants. J Huazhong Agric Univ 2008;27:782-6.  Back to cited text no. 14


  [Figure 1], [Figure 2], [Figure 3]

  [Table 1]

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