Journal of Natural Medicines

, Volume 71, Issue 1, pp 148–157 | Cite as

Quantitative evaluation and discrimination of wild Paris polyphylla var. yunnanensis (Franch.) Hand.-Mazz from three regions of Yunnan Province using UHPLC–UV–MS and UV spectroscopy couple with partial least squares discriminant analysis

  • Yuangui Yang
  • Hang Jin
  • Ji Zhang
  • Jinyu Zhang
  • Yuanzhong Wang
Original Paper


Paris polyphylla var. yunnanensis (Franch.) Hand.-Mazz (PPY) is used widely as an anthelmintic, antimicrobial, and anti-tumor agent. Multiplicate analytical methods have been employed to discriminate PPY from different regions, as well as to identify regions most beneficial to the growing of this species. In this study, a convenient and accurate method was established using ultra high performance liquid chromatography (UHPLC) for simultaneous determination of four steroid saponins (Pa, Pb, polyphyllin VI, and chonglou saponin VII). Partial least squares discriminant analysis (PLS-DA) according to UHPLC and UV spectroscopy was applied to analyze 30 samples of PPY from three regions of Yunnan Province in China, and identify significant peaks. The results indicated that the correlation coefficients (r 2) of all calibration curves were above 0.999, and the inter- and intra-day relative standard deviations (RSD) of retention time and peak areas of common peaks were below 1.78 % and 3.40 %, respectively, with recovery rates of 99.6–103.4 % with RSD ≤2 %. Quantitative analysis implied that the average values of total saponins in PPY from south Yunnan Province (19.9 mg/g) were higher than in the central (8.79 mg/g) district. Thus, further investigation could focus on the southern region to seek high quality PPY. The analysis found that PLS-DA for ultraviolet (UV) spectroscopy, which could separate the samples from three regions, was more appropriate than UHPLC. Retention times during 20–30.75 min of UHPLC, and absorption at 200–300 nm of the UV spectrum were identified as significant peaks for distinguishing PPY from different regions.


Paris polyphylla var. yunnanensis (Franch.) Hand.-Mazz UHPLC–UV–MS UV PLS-DA 



The authors are grateful for the financial support provided by a Grant from the National Natural Science Foundation of China (No. 81460584) and Special Fund for Agro-scientific Research in the Public Interest (No. 201303117).

Supplementary material

11418_2016_1044_MOESM1_ESM.docx (880 kb)
Supplementary material 1 (DOCX 880 kb)


  1. 1.
    Li H (1998) The genus Paris (Trilliaceae). Science, Beijing, p 23Google Scholar
  2. 2.
    The State Pharmacopoeia Commission (2015) Chinese pharmacopoeia. The State Pharmacopoeia Commission, Beijing, p 261Google Scholar
  3. 3.
    Wen YS, Ni W, Qin XJ, Yan H, Chen CX, Hua Y, Cheng YC, He L, Liu HY (2015) Steroidal saponins with cytotoxic activity from the rhizomes of Paris polyphylla var. yunnanensis. Phytochem Lett 12:31–34CrossRefGoogle Scholar
  4. 4.
    Wu X, Wang L, Wang H, Dai Y, Ye WC, Li YL (2012) Steroidal saponins from Paris polyphylla var. yunnanensis. Phytochemistry 81:133–143CrossRefPubMedGoogle Scholar
  5. 5.
    Yan LL, Zhang YJ, Gao WY, Man SL, Wang Y (2009) In vitro and in vivo anticancer activity of steroid saponins of Paris polyphylla var. yunnanensis. Exp Oncol 31:27–32PubMedGoogle Scholar
  6. 6.
    Wei JC, Gao WY, Yan XD, Wang Y, Jing SS, Xiao PG (2014) Chemical constituents of plants from the Genus Paris. Chem Biodivers 11:1277–1297CrossRefPubMedGoogle Scholar
  7. 7.
    Zhang JY, Wang YZ, Zhao YL, Yang SB, Zuo ZT, Yang MQ, Zhang J, Yang WZ, Yang TM, Jin H (2011) Phytochemicals and bioactivities of Paris species. J Asian Nat Prod Res 13:670–681CrossRefGoogle Scholar
  8. 8.
    Wang GX, Han J, Zhao LW, Jiang YT, Liu XT, Liu XL (2010) Anthelmintic activity of steroidal saponins from Paris polyphylla. Phytomedicine 17:1102–1105CrossRefPubMedGoogle Scholar
  9. 9.
    Zhao JL, Sun WB, Shan TJ, Mou Y, Lou JF, Li Y, Wang MG, Zhou LG (2012) Antimicrobial metabolites from the endophytic fungus Gliomastix murorum Ppf8 associated with the medicinal plant Paris polyphylla var. yunnanensis. J Med Plants Res 6:2100–2104Google Scholar
  10. 10.
    Liu Z, Gao W, Jing S, Zhang Y, Man SL, Wang Y, Zhang J, Liu CX (2013) Correlation among cytotoxicity, hemolytic activity and the composition of steroidal saponins from Paris. J Ethnopharmacol 149:422–430CrossRefPubMedGoogle Scholar
  11. 11.
    Chan JYW, Koon JCM, Liu X, Michael D, Yu B, Kong SK, Fung KP (2011) Polyphyllin D, a steroidal saponin from Paris polyphylla, inhibits endothelial cell functions in vitro and angiogenesis in zebrafish embryos in vivo. J Ethnopharmacol 137:64–69CrossRefPubMedGoogle Scholar
  12. 12.
    Zhang X, Cui Y, Huang J, Zhang YZ, Nie Z, Wang LF, Yan BZ, Tang YL, Liu Y (2007) Immuno-stimulating properties of diosgenyl saponins isolated from Paris polyphylla. Bioorg Med Chem Lett 17:2408–2413CrossRefPubMedGoogle Scholar
  13. 13.
    Guo CK, Zhang S, Kong WJ, Li QT (2006) Clinical study of Bi Yan Qing Du granule and Bi Yan Shu oral liquid in treatment patients with nasopharyngeal carcinoma after radiotherapy. Bull Chin Cancer 15:113–115Google Scholar
  14. 14.
    Li H, Tang W, Wang X, Wang J, Li Y (2009) Protective effect of Jidesheng Sheyao on the chronic hepatic injury induced by carbon tetrachloride in mice. Med J Commun 3:004Google Scholar
  15. 15.
    Zhao YL, Zhang J, Yuan TJ, Shen T, Li WY, Yang SH, Wang YZ, Jin H (2014) Discrimination of wild Paris based on near infrared spectroscopy and high performance liquid chromatography combined with multivariate analysis. PLoS One 9:e89100CrossRefPubMedPubMedCentralGoogle Scholar
  16. 16.
    Lu H, Xu JH, Chen RP, Yang H, Liu YP (2006) Status of the Genus Paris L. resources of Yunnan and countermeasures for protection. J Yunnan Univ 28:307–310Google Scholar
  17. 17.
    Li HT, Luo XW, Guan YH, Zhang LX, Gao WW (2014) Comparison between content of saponins of Paris polyphylla var. yunnanensis in different areas of Yunnan Province. China J Chin Mater Med 39:803–806Google Scholar
  18. 18.
    Ling Y, Fu Z, Zhang Q, Xu L, Liao L (2015) Identification and structural elucidation of steroidal saponins from the root of Paris polyphylla by HPLC-ESI-QTOF-MS/MS. Nat Prod Res 29:1798–1803CrossRefPubMedGoogle Scholar
  19. 19.
    Man S, Gao W, Zhang Y, Jin X, Ma C, Huang X, Li Q (2009) Characterization of steroidal saponins in saponin extract from Paris polyphylla by liquid chromatography tandem multi-stage mass spectrometry. Anal Bioanal Chem 395:495–505CrossRefPubMedGoogle Scholar
  20. 20.
    Pan Y, Zhang J, Shen T, Zhao YL, Zuo ZT, Wang YZ, Li WY (2015) Liquid chromatography tandem mass spectrometry combined with fourier transform mid-infrared spectroscopy and chemometrics for comparative analysis of raw and processed Gentiana rigescens. J Liq Chromatogr R T 38:1407–1416CrossRefGoogle Scholar
  21. 21.
    Jing P, Zhao SJ, Lu MM, Cai Z, Pang J, Song LH (2014) Multiple-fingerprint analysis for investigating quality control of Flammulina velutipes fruiting body polysaccharides. J Agric Food Chem 62:12128–12133CrossRefPubMedGoogle Scholar
  22. 22.
    Wrona M, Pezo D, Canellas E, Nerin C (2016) Ultra high performance liquid chromatography coupled to quadruple time-of-flight with MSE technology used for qualitative analysis of non-volatile oxidation markers in sliced packed mushrooms (Agaricus Bisporus). J Chromatogr A 1432:73–83CrossRefPubMedGoogle Scholar
  23. 23.
    Zhang C, Sun L, Tian R, Jin H, Ma S, Gu B (2015) Combination of quantitative analysis and chemometric analysis for the quality evaluation of three different frankincenses by ultra high performance liquid chromatography and quadrupole time of flight mass spectrometry. J Sep Sci 38:3324–3330CrossRefPubMedGoogle Scholar
  24. 24.
    Pan Y, Zhang J, Shen T, Zhao YL, Wang YZ, Li WY (2015) Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis. BMC Biochem 16:9CrossRefPubMedPubMedCentralGoogle Scholar
  25. 25.
    Xie HD, Bu LJ, Li ZX (2009) Method of vinegar detection based on ultraviolet fingerprint technology. T Chin Soc Agric Mach 40:133–138Google Scholar
  26. 26.
    Da Silva Taveira JH, Borém FM, Figueiredo LP, Reis N, Franca AS, Harding SA, Tsai CJ (2014) Potential markers of coffee genotypes grown in different Brazilian regions: a metabolomics approach. Food Res Int 61:75–82CrossRefGoogle Scholar
  27. 27.
    Gad HA, El-Ahmady SH, Abou-Shoer MI, Al-Azizi MM (2013) Application of chemometrics in authentication of herbal medicines: a review. Phytochem Anal 24:1–24CrossRefPubMedGoogle Scholar
  28. 28.
    Kang YR, Park YS, Park YC, Yoon SM, Jongahn H, Kim G, Kwon SW (2012) UPLC/Q-TOF-MS based metabolomics approach to post-mortem-interval discrimination: mass spectrometry based metabolomics approach. J Pharm Invest 42:41–46CrossRefGoogle Scholar
  29. 29.
    Afanador NL, Tran TN, Buydens LMC (2013) Use of the bootstrap and permutation methods for a more robust variable importance in the projection metric for partial least squares regression. Anal Chim Acta 768:49–56CrossRefPubMedGoogle Scholar
  30. 30.
    Oussama A, Elabadi F, Platikanov S, Kzaiber F, Tauler R (2012) Detection of olive oil adulteration using FT-IR spectroscopy and PLS with variable importance of projection (VIP) scores. J Am Oil Chem Soc 89:1807–1812CrossRefGoogle Scholar
  31. 31.
    Zhang J, Jin H (2012) Ultraviolet absorption spectrum analysis and identification of medicinal plants of Paris. Spectrosc Spect Anal 32:2176–2180Google Scholar

Copyright information

© The Japanese Society of Pharmacognosy and Springer Japan 2016

Authors and Affiliations

  1. 1.College of Traditional Chinese MedicineYunnan University of Traditional Chinese MedicineKunmingChina
  2. 2.Institute of Medicinal PlantsYunnan Academy of Agricultural SciencesKunmingChina
  3. 3.Yunnan Technical Center for Quality of Chinese Materia MedicaKunmingChina

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