Metabonomic analysis of water extracts from Chinese and American ginsengs by 1H nuclear magnetic resonance: identification of chemical profile for quality control
© Chan et al.; licensee BioMed Central Ltd. 2012
Received: 9 February 2012
Accepted: 17 September 2012
Published: 12 November 2012
With the gaining popularity of commercially prepared decoctions of herbal medicines on the market, an objective and efficient way to reveal the authenticity of such products is urgently needed. Previous attempts to use chromatographic or spectroscopic methods to identify ginseng samples made use of components derived from methanol extracts of the herb. It was not established that these herbs can be distinguished solely from consumable components, which are responsible for the clinical efficacy of the herb.
In this study, metabonomics, or metabolic profiling, based on the application of 1H-Nuclear Magnetic Resonance (NMR), is applied to distinguish the water extracts of three closely related ginseng species: P. ginseng (from two different cultivated regions in China), P. notoginseng and P. quinquefolius.
A water extraction protocol that mimics how ginseng decoctions are made for consumption was used to prepare triplicate samples from each herb for analysis. High-resolution 1H NMR spectroscopy was used to acquire metabolic profiles of the four ginseng samples. The spectral data were subjected to multivariate and univariate analysis to identify metabolites that were able to distinguish different types of ginseng.
H NMR metabolic profiling was performed to distinguish the water extracts of P. ginseng cultivated in Hebei and Jilin of China, both of which were distinguished from extracts of P. notoginseng and P. quinquefolius, by unsupervised principle component analysis based on the entire 1H NMR spectral fingerprint Statistically significant differences were found for several discriminating features traced to common metabolites and the ginsenosides Rg1 and Rd, in the 1H NMR spectra.
This study demonstrated that 1H NMR metabonomics can simultaneously distinguish different ginseng species and multiple samples of the same species that were cultivated in different regions. This technique is applicable to the authentication and quality control of ginseng products.
The Panax L. (Araliaceae) genus consists of 12 species, including 10 from Asia and two from North America. Three species are commonly used today: Panax ginseng C.A. Mey., known as Ginseng, Renshen, or Korean Ginseng; Panax quinquefolius L., known as American Ginseng or Xiyangshen; and Panax notoginseng (Burk.) F.H. Chen, known as Notoginseng or Sanqi. While these Panax species have different clinical efficacies in Chinese medicine, they share a great deal of similarity in their chemistry and gene sequences, making their authentication difficult.
Currently, quality control of these three ginsengs is based on the relative quantities of saponins . In addition, the ginsengs are graded and priced according to their origins, ages, and morphological characteristics , which are mainly determined after visual or microscopic inspection by experts . However, this morphological method is subjective, and cannot be applied to medicinal products in the form of slices, powders, or decoctions.
Genetically, the three Panax species closely resemble one another. For example, P. ginseng, P. quinquefolius, and P. notoginseng have similar DNA sequences  for nuclear ribosomal DNA, 5S rRNA spacer, and 18S rRNA. Random amplified polymorphic analysis can distinguish the Panax species [4, 5], with restriction to the crude herbs instead of their extracts. Chemically, the important constituents of Panax roots, including ginsenosides Rb1, Rb2, Rd, Rg, and Re, are found in the roots of P. ginseng, P. quinquefolius, and P. notoginseng. The presence of ginsenosides alone cannot offer conclusive evidence for species distinction. In 2006, Yang et al.  demonstrated the use of NMR metabonomics for quality control of commercial ginseng preparations. Similar metabonomic approaches were applied to distinguish the roots of P. ginseng and P. quinquefolius from different countries and ages by Kang et al.  and Lee et al.. However, these previous attempts used methanol extraction, which is not typically used in ginseng preparation for consumption.
Therefore, this study aims to distinguish the Panax species roots from different cultivated regions in China and America in water extracts, that mimics the general way of ginseng consumption, to assess the potential of distinguishing ginseng decoctions by 1H NMR metabonomics.
Materials and reagents
All P. ginseng roots (Hebei-voucher# 10-5-23 and Jilin-voucher# 10-10-11) were obtained from their cultivated regions in China. P. quinquefolius roots (voucher# 10-8-12) were purchased from a local pharmacy and P. notoginseng roots (voucher# 10-9-26) were collected from Yunnan in China. The plant materials were collected in 2010, and authenticated by Dr. Tina T.X. Dong at Hong Kong University of Science & Technology according to their morphological characteristics . The voucher specimens were deposited in the Centre for Chinese Medicine R&D at Hong Kong University of Science & Technology. All other reagents used in this study were of analytical grade (Sigma-Aldrich, USA).
Ginsengs were prepared using the extraction procedure optimized by Song et al. . Briefly, each sample (1 g) was cut into granules, boiled in 8 volumes of water (w/v) for 2 h, and extracted twice. The extracts were dried by lyophilization and stored at −40°C. Five biological replicates of each of the four herbs were prepared and analyzed in the same manner.
High-performance liquid chromatography (HPLC)
The water extracts of different ginsengs were first analyzed by HPLC fingerprinting, according to a previously described method , to confirm the effectiveness of water extraction.
Sample preparation for NMR spectroscopy
Each extract (100 mg) was dissolved in 600 μL of sodium phosphate buffer (0.2 M Na2HPO4, 0.043 M NaH2PO4, 3 mM NaN3, 100% D2O, pH 7.4) with an internal standard, 0.1 mM sodium 3-(trimethylsilyl)propionate-2,2,3,3-d4 (TSP-d4). All particulate materials were removed by centrifugation (Prism, Labnet international, USA) at 13,000 x g for 1 min, and the supernatant was transferred to a standard 5-mm NMR tube. NMR spectra were acquired using a Bruker AV 400 MHz NMR spectrometer (Bruker Biospin, Rheinstetten, Germany) with a 5-mm PA BBO 400SB BBFO-H-D05 Z-gradient BB observe probe head, operating at 400.13 MHz 1H NMR frequency at 298 K. Gradient shimming was used to improve the magnetic field homogeneity prior to all acquisitions. 1H NMR spectra of the samples were acquired using a 1D NOESY pulse sequence (RD-90o-t1-90o-tm-90o-acquire) to generate a spectrum with a reduced residual solvent peak, 2-s relaxation delay, 100-ms mixing time, 20-ppm spectral width and 32000 acquired points. Each sample was run for 10 min. All spectra were Fourier-transformed, phase-corrected, and baseline-corrected manually.
All data were integrated using the rNMR program  and normalized by TSP-d4 as an internal standard. The data were formatted in XML for import into Matlab version 2009b, (MathWorks, USA) and SIMCA-P version 12.0 (Umetrics, Sweden). Each 1H-NMR spectrum was Pareto scaled and divided into 1.3-K bins (bin width, 0.0084 ppm). The summed intensity in each bin was used as a data point for principal component analysis (PCA). Metabolites were identified using Chenomx Profiler, a module of Chenomx NMR Suite version 7.5, online databases (hmdb.ca  & bmrb.wisc.edu ) and a previous report . Differences between groups were performed by the Student’s t-test and subsequent Bonferroni correction of P values.
The water extracts of different ginsengs were first analyzed by HPLC fingerprinting, according to a previously described method , to confirm the effectiveness of water extraction. The average 1H spectra of the ginsengs from different origins, including P. quinquefolius from Wisconsin in the United States, P. ginseng from Hebei and Jilin in China, and P. notoginseng from Yunnan in China, were obtained (Additional file 1: Figure S1). By visual inspection, the average 1H NMR spectra of the four herbs showed similar, but also different characteristics.
This study differed from previous ginseng studies that used methanol as an extraction solvent [1, 8]. The bioavailable chemicals of the four ginseng samples were directly observed by a water extraction protocol that resembles the commercial preparation of ginseng decoctions. Different extraction methods produce different quantities of metabolites. For example, comparing our metabolic profiles with those of Lee et al. , fewer metabolites were detected in the aromatic region (6–8 ppm). Our findings showed that P. quinquefolius had a significantly higher fructose concentration than P. ginseng, while Lee et al. did not detect any significant difference. Our data also showed similar (in the case of Hubei-grown P. ginseng) or lower (in the case of Jilin-grown P. ginseng) concentrations in P. quinquefolius compared with P. ginseng, while Lee et al. showed the opposite trend of much higher concentration of fumarate in P. quinquefolius than P. ginseng. Use of methanol extraction may not allow a direct demonstration of the chemical differences in the human-consumed components of these ginseng herbs.
The metabolite profiles from the 1H NMR spectra exhibited differences in the finer details for closely related ginseng species, and allowed measurements of different metabolites in an unbiased manner without prior chemical markers. The 1H NMR signal is directly proportional to the number of protons present, and the characteristic chemical shifts can identify and quantify many well-known metabolites, including amino acids, sugars, nucleotides, and other aromatic compounds . In addition, the entire 1H-NMR spectrum can function as a fingerprint based on the content of metabolites from a biological sample, representing a valuable alternative to traditional methods in the absence of reliable chemical markers. PCA was used to identify differences in the 1H NMR spectra in an automated manner. When the group labels are unknown to the regression, this method is useful for outlier detection and detecting patterns and trends without prior knowledge. In this study, the four herbs were distinguished at once by the PCA, suggesting that this demonstration of the distinguishability may be more powerful than those in previous studies using supervised methods, such as Kang et al.  and Lee et al..
No single metabolite was able to act as a biomarker for the classification of all four herbs. For example, fructose (4.21 ppm) was significantly different in P. quinquefolius, and can only be a potential biomarker for identifying P. quinquefolius but not the others, while sucrose (5.42 ppm) was able to differentiate most of the ginsengs significantly, but not P. quinquefolius and P. ginseng (Hebei), or P. notoginseng and P. ginseng (Jilin). These findings corroborate the findings from the PCA loading plot that the sugar region (3.4–4 ppm) is greatly discriminative. It is noted that choline was able to differentiate P. quinquefolius and P. ginseng (Hebei), and P. notoginseng and P. ginseng (Jilin). Taken together, choline and sucrose were able to distinguish the four ginsengs. A profiling approach can detect effective combinations of biomarkers automatically using ubiquitous metabolites.
To compare with the traditional method of discriminating samples based on known chemical markers, we attempted to identify peaks in the 1H NMR spectra that could correspond to two known ginsenosides. The 1H NMR spectra showed that P. notoginseng had a significantly higher amount of these ginsenosides than the other three herbs, consistent with a previous study . In addition, the other three herbs were unable to be distinguished by this ginsenoside peak alone.
In this approach, the overall spectral fingerprint incorporating multiple markers, many of which have not previously been studied, was utilized successfully to distinguish the samples, in contrast to the traditional approach of relying on one or several known chemical markers. In contrast to previous work relying on different metabolite profiles obtained by methanol extraction, the water extraction used in the present study resembles that for commercial ginseng preparations.
This study demonstrated that 1H NMR metabonomics can simultaneously distinguish different ginseng species and multiple samples of the same species cultivated in different regions. This technique is applicable to the authentication and quality control of ginseng decoctions.
Principle component analysis
The authors wish to thank Kai Qi Yan for HPLC quality assurance of the water extraction of the ginsengs, Chi Yuen Cheung for assistance with plotting of the figures and the Department of Chemistry, Hong Kong University of Science and Techonology, for providing the NMR machine for data generation. This research was supported by the University Grant Council of Hong Kong (HKUST RPC10EG08 to H. Lam), the Research Grants Council of Hong Kong (N_HKUST629/07, 662608 to K. Tsim), and the Croucher Foundation (CAS-CF07/08.SC03 to K. Tsim).
- Lee EJ, Shaykhutdinov R, Weljie AM, Vogel HJ, Facchini PJ, Park SU, Kim YK, Yang TJ: Quality assessment of ginseng by H-1 NMR metabolite fingerprinting and profiling analysis. J Agric Food Chem. 2009, 57: 7513-7522. 10.1021/jf901675y.View ArticlePubMedGoogle Scholar
- Woo SH, Choi BC, Oh SJ, Seul JH: Classification of the first web space free flap of the foot and its applications in reconstruction of the hand. Plast Reconstr Surg. 1999, 103: 508-517. 10.1097/00006534-199902000-00022.View ArticlePubMedGoogle Scholar
- Ngan F, Shaw P, But P, Wang J: Molecular authentication of Panax species. Phytochemistry. 1999, 50: 787-791. 10.1016/S0031-9422(98)00606-2.View ArticlePubMedGoogle Scholar
- Shaw PC, But PPH: Authentication of Panax species and their adulterants by random-primed polymerase chain-reaction. Planta Med. 1995, 61: 466-469. 10.1055/s-2006-958138.View ArticlePubMedGoogle Scholar
- Ha WY, Yau FCF, But PPH, Wang J, Shaw PC: Direct amplification of length polymorphism analysis differentiates Panax ginseng from P. quinquefolius. Planta Med. 2001, 67: 587-589. 10.1055/s-2001-16483.View ArticlePubMedGoogle Scholar
- Leung KSY, Chan K, Bensoussan A, Munroe MJ: Application of atmospheric pressure chemical ionisation mass spectrometry in the identification and differentiation of Panax species. Phytochem Anal. 1997, 18: 146-150.View ArticleGoogle Scholar
- Yang SY, Kim HK, Lefeber AW, Erkelens C, Angelova N, Choi YH, Verpoorte R: Application of two-dimensional nuclear magnetic resonance spectroscopy to quality control of ginseng commercial products. Planta Med. 2006, 72: 364-369. 10.1055/s-2005-916240.View ArticlePubMedGoogle Scholar
- Kang J, Lee S, Kang S, Kwon HN, Park JH, Kwon SW, Park S: NMR-based metabolomics approach for the differentiation of ginseng (Panax ginseng) roots from different origins. Arch Pharm Res. 2008, 31: 330-336. 10.1007/s12272-001-1160-2.View ArticlePubMedGoogle Scholar
- Department of Health government of Hong Kong Special Administrative Region, People’s Republic of china: Hong Kong Chinese Material Medica Standards Volume 1. 2005, China: Hong Kong Special Administrative RegionGoogle Scholar
- Song ZH, Ji ZN, Lo CK, Dong TT, Zhao KJ, Li OT, Haines CJ, Kung SD, Tsim KW: Chemical and biological assessment of a traditional Chinese herbal decoction prepared from radix astragali and radix angelicae sinensis: orthogonal array design to optimize the extraction of chemical constituents. Planta Med. 2004, 70: 1222-1227. 10.1055/s-2004-835855.View ArticlePubMedGoogle Scholar
- Li W, Fitzloff JF: Determination of 24(R)-pseudoginsenoside F(11) in north American ginseng using high performance liquid chromatography with evaporative light scattering detection. J Pharm Biomed Anal. 2001, 25: 257-265. 10.1016/S0731-7085(00)00494-5.View ArticlePubMedGoogle Scholar
- Lewis IA, Schommer SC, Markley JL: rNMR: open source software for identifying and quantifying metabolites in NMR spectra. Magn Reson Chem. 2009, 47 (1): S123-S126. 10.1002/mrc.2526.PubMed CentralView ArticlePubMedGoogle Scholar
- Wishart DS, Tzur D, Knox C, Eisner R, Guo AC, Young N, Cheng D, Jewell K, Arndt D, Sawhney S, Fung C, Nikolai L, Lewis M, Coutouly MA, Forsythe I, Tang P, Shrivastava S, Jeroncic K, Stothard P, Amegbey G, Block D, Hau DD, Wagner J, Miniaci J, Clements M, Gebremedhin M, Guo N, Zhang Y, Duggan GE, Macinnis GD, Weljie AM, Dowlatabadi R, Bamforth F, Clive D, Greiner R, Li L, Marrie T, Sykes BD, Vogel HJ, Querengesser L: HMDB: the human metabolome database. Nucleic Acids Res. 2007, 35: D521-D526. 10.1093/nar/gkl923.PubMed CentralView ArticlePubMedGoogle Scholar
- Ulrich EL, Akutsu H, Doreleijers JF, Harano Y, Ioannidis YE, Lin J, Livny M, Mading S, Maziuk D, Miller Z, Nakatani E, Schulte CF, Tolmie DE, Kent Wenger R, Yao H, Markley JL: BioMagResBank. Nucleic Acids Res. 2008, 36: D402-D408.PubMed CentralView ArticlePubMedGoogle Scholar
- Fan WMT: Metabolite profiling by one- and two-dimensional NMR analysis of complex mixtures. Prog Nucl Magn Reson Spectrosc. 1996, 28: 161-219.View ArticleGoogle Scholar
- Kang J, Choi M, Kang S, Kwon H, Wen H, Lee CH, Park M, Wiklund S, Kim HJ, Kwon SW, Park S: Application of a H-1 nuclear magnetic resonance (NMR) metabolomics approach combined with orthogonal projections to latent structure-discriminant analysis as an efficient tool for discriminating between Korean and Chinese herbal medicines. J Agric Food Chem. 2008, 56: 11589-11595. 10.1021/jf802088a.View ArticlePubMedGoogle Scholar
- Dong TTX, Cui XM, Song ZH, Zhao KJ, Ji ZN, Lo CK, Tsim KWK: Chemical assessment of roots of Panax notoginseng in China: regional and seasonal variations in its active constituents. J Agric Food Chem. 2003, 51: 4617-4623. 10.1021/jf034229k.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.