Comparative Study on “Long-Dan”, “Qin-Jiao” and Their Adulterants by HPLC Analysis

“Long-Dan” and “Qin-Jiao” are two important TCM herbs since ancient times in China. In the Chinese Pharmacopoeia, the dried roots and rhizomes of four species from the genus Gentiana, e.g. Gentiana manshurica, G. scabra, G. triflora and G. rigescens, are recorded under the name of Gentianae Radix et Rhizoma (“Long-Dan” in Chinese), while the other four species from the same genus including G. macrophylla, G. crassicaulis, G. straminea and G. duhurica are recorded and used as the raw materials of Gentianae Macrophyllae Radix (“Qin-Jiao” in Chinese). On the basis of the establishment of a validated HPLC–UV method for quantifying simultaneously, five iridoid glycosides, e.g. loganic acid (1), swertiamarinin (2), gentiopicroside (3), sweroside (4) and 2′-(o,m-dihydroxybenzyl)sweroside (5) have been used successfully as chemical markers for the comparison of the species used as “Long-Dan”, “Qin-Jiao” and their adulterants in the present study. The results suggested that four iridoid glycosides 1–4 commonly existed in both “Long-Dan” and “Qin-Jiao”, while 2′-(o,m-dihydroxybenzyl)sweroside (5) also existed as one of the major components in “Dian-Long-Dan” species. Moreover, the contents of compounds 1–5 were various in different “Long-Dan” and “Qin-Jiao” species. Herein, we profiled and compared three “Long-Dan” species, four “Qin-Jiao” species and five adulterants by applying multivariate statistical techniques to their HPLC data sets to establish the differences and/or similarities. Electronic supplementary material The online version of this article (doi:10.1007/s13659-014-0039-x) contains supplementary material, which is available to authorized users.

In general, the qualities and chemical compositions of herbs vary widely, depending substantially on their different species, variety, geographical origin, cultivation, environment, and so on. It was considered that the qualities and chemical compositions of ''Long-Dan'' and ''Qin-Jiao'' could be significantly affected by such factors. Different ''Long-Dan'' and ''Qin-Jiao'' species previously have been chemically and biologically investigated on by several groups [9][10][11][12]. The comparative study on ''Long-Dan'' and related adulterants by HPLC analysis was also developed by Jiang, et al. [13]. Previous studies suggested that loganic acid, gentiopicroside, sweroside and swertiamarinin, existing widely in genus Gentiana, were the main compounds in ''Long-Dan'' and ''Qin-Jiao''. Among them, loganic acid could inhibit the carrageenan-induced mouse paw edema [14], and gentiopicroside showed inhibitory effects on inflammatory mediators NO and COX-2 [15]. Our recent study showed that iridoid glycosides as the major constituents in ''Qin-Jiao'' (G. dahurica, G. crassicaulis and G. straminea) and ''Long-Dan'' (G. rigescens), displayed potential COXs-2/1 inhibitory activities in zebrafish model [12]. However, a detailed comparison among different species used as ''Qin-Jiao'' and ''Long-Dan'', and their related adulterants by applying multivariate statistical techniques is lacking. Herein, a quantitative analysis of five main constituents in Gentiana species, e.g., loganic acid (1), swertiamarinin (2), gentiopicroside (3), sweroside (4) and 2 0 -(o,mdihydroxybenzyl)sweroside (5) was established, and their profiling and comparison in 39 Gentiana samples referring to three ''Long-Dan'' species, four ''Qin-Jiao'' species and five other relating adulterants were studied by applying multivariate statistical techniques to their HPLC data sets, in order to establish the differences and/or similarities.

Identification of Compounds 1-5
Compounds 1-5 were identified by HPLC-DAD-MS analysis, on the basis of their retention time, UV absorption, the quasimolecular ions, fragment ions, and co-HPLC comparison with authentic standards, as well as the data published previously. In the LC-MS spectra, the retention times and quasimolecular ions of the five compounds were as follows:
Among ''Qin-Jiao'' and its adulterants, the contents of compounds 1-4 in G. crassicaulis, G. straminea, G. dahurica and G. robusta were quite similar, but higher than those in G. macrophylla ( Fig. 3A and SI1). Among them, the total contents of compounds 1 and 3 were less than 2.5 % in two samples, S29 and S30 of G. crassicaulis (collected from Ganzi in Sichuan provinces, respectively), which could be considered as substandard medicines according to the record in the Chinese Pharmacopoeia. Moreover, the contents of 1 and 3 displayed obviously more different than those of 2 and 4 in different ''Qin-Jiao'' species ( Fig. 3C and SI1).
In the case of 11 ''Qin-Jiao'' and its adulterants,   identification, the results suggested that peak a was common typical component in ''Qin-Jiao'' and ''Qin-Jiao'' could be distinguished from ''Long-Dan'' by HPLC analysis on peak a except for four major compounds. Among the tested samples, G. purdomii and G. microdonta as the adulterants of ''Long-Dan'' and G. robusta as the adulterant of ''Qin-Jiao'', contained all the seven common peaks, accounting for more than 90 % of the total peak area. Of them, gentiopicroside (3) with all above 60 % of the total peak area displayed the highest content among all the peaks. It suggested that these three species had not only close similarity of chemical compositions, but also similar chromatographic patterns to those of ''Long-Dan'' and ''Qin-Jiao'' recorded in the Chinese Pharmacopoeia, respectively. They were considerable to be used respectively as adulterants for ''Long-Dan'' or ''Qin-Jiao'', on the basis of the HPLC-UV fingerprint analysis.

Hierarchical Clustering Analysis
According to the fingerprint analysis, seven common characteristic peaks were found among 35 samples. The hierarchical clustering analysis of all the ''Long-Dan'' and ''Qin-Jiao'' samples with their adulterants were showed in Figs. 6, 7 and 8.
As shown in Fig. 8, two groups A with 22 samples and B with 13 samples were obtained from 35 batches of ''Long-Dan'', ''Qin-Jiao'' and their adulterants samples. It was obvious that group B contained all the ''Qin-Jiao'' and its adulterant samples, as well as one of ''Long-Dan'' species, G. triflora (S18 and S19). In addition, most of the ''Long-Dan'' samples and all of its adulterants samples were into group A. It was observed in group B that all species, e.g. G. crassicaulis (S27-S28), G. straminea (S31-S34), G. dahurica (S35-S37) and G. triflora (S18-S19), were clearly separated from each other, except that G. macrophylla (S38) and G. robusta (S39) were mixed into G. dahurica and G. straminea respectively (Figs. 6 and 8). According to group A, only the samples of G. purdomii (S20-S23) were categorized into together, the left samples especially the samples of G. rigescens (S1-S16) distributed a little mass and the samples of G. scabra and G. microdonta were not discriminated with other species, so was the result of Fig. 7. The result indicated that more number of samples and data of characteristic peaks were needed to improve a more comprehensive and accurate categorization. Though the grouping of 35 samples of ''Long-Dan'', ''Qin-Jiao'' and their adulterants in hierarchical clustering analysis was not all well in agreement with the species, it supported that G. purdomii, G. microdonta, and G. robusta could be used as the adulterants of ''Long-Dan'' and ''Qin-Jiao'', respectively.

Principal Component Analysis (PCA)
PCA is a kind of a clustering statistical method which reduces the dimensionality of multivariate data to express the original variables as a particular linear combination of the principal components (PCs) in the score plots. Moreover, the plotted data can enhance the visualization of similarities and differences in the data set, allowing for improved discrimination among samples [18,19]. The relationship of ''Long-Dan'', ''Qin-Jiao'', and their adulterants from 10 Gentiana species was investigated on by PCA using the data of seven common peaks 1-7. As shown in Fig. 9. Ten Gentiana species could be clearly discriminated in the score plots constructed by combining PC 1 (41.5 %) and PC 2 (23.2 %). From the score plots, most of the ''Qin-Jiao'' and ''Long-Dan'' species were separated by PC1 whereas some samples from ''Long-Dan'' species, e.g. S17 (G. scabra) and S18-S19 (G. triflora) were in the area of ''Qin-Jiao''. The result indicated that ''Long-Dan'' and ''Qin-Jiao'' could not be discriminated from each other by using these seven common peaks in the present study. And this might be the reason that ''Long-Dan'', ''Qin-Jiao'' and their adulterants have been easily confused by the local people. From the phytochemical point of view, it is important to increase the characteristic components of ''Long-Dan'' and ''Qin-Jiao'', in order to distinguish them reasonably.

HPLC and HPLC-MS Analysis
The powdered roots (0.25 g) of each sample were immersed in MeOH (10 mL) over eight hours and then extracted under ultrasonic condition for 30 min. The obtained residue was filtered through a syringe filter (0.45 lm), and an aliquot of each filtrate (10 lL) was injected into the HPLC instrument for analysis. HPLC analysis was performed on an Agilent series 1260 (Agilent Technologies) liquid chromatography, equipped with a vacuum degasser, a quaternary pump, an autosampler, and a diode array detector (DAD). An Agilent ZORBAX SB-C 18 column (4.6 9 150 mm, 5 lm) was used. The HPLC-DAD-MS analysis was performed on a Agilent series 1100 (Agilent Technologies) liquid chromatography, equipped with a vacuum degasser, a quaternary pump, an autosampler, and a DAD and an ion-trap mass spectrometer with electrospray interface (ESI), operating in full scan MS mode from 150 to 1,500 amu. Samples were analyzed using both negative and positive ionization modes. ESI-MS parameters were as follows: potential of the ESI source, 4 kV; capillary temperature, 400°C. An Agilent ZORBAX SB-C 18 column (4.6 9 150 mm, 5 lm) was used. The mass traces of five were recorded, and identification of individual compounds was conducted by MS n ragmentation and comparison with standards. The gradient system was the same system as described in the above HPLC conditions part. HPLC injection volume was 10 lL. The result was shown in Figs. 2 and 3 of ESM (SI5 and SI6). Standard samples of compounds 1-5 were prepared into appropriate concentration, and the calibration curve for each compound was performed with six different added quantities in triplicate by plotting the peak area versus the quantities of the compounds. All five calibration curves exhibited good linear regressions, and the results are shown in Table 2 and Fig. 1 of ESM (SI2 and SI3).

Method Evaluation
Selectivity was determined by comparing the chromatograms obtained from the Gentiana samples with those of the standard solutions. Precision was calculated in terms of intra-day (n = 6) with the standard solution of compounds 1-5 on the Agilent ZORBAX SB-C 18 column and evaluated by calculating the relative standard deviation (RSD). In order to test the repeatability, solutions of sample 1 were prepared and it was injected 6 times (Table 3 of ESM, SI4). Other method evaluation was performed as described by our previous studies [22].

Data Analysis
A professional and recommended software by the SFDA of China, named Similarity Evaluation System for Chromatographic Fingerprint of TCM (Version 2004 A) was used for similarity analysis of chromatographic profiles of ''Long-Dan'', ''Qin-Jiao'' and their adulterants. By which, seven common peaks in the chromatograms were selected and the peak of gentiopicroside (3) was used as the reference. The relative retention time (RRT) and RPA of each common peak to the reference in the chromatograms were calculated. The hierarchical clustering analysis (HCA) of 35 samples was performed with between-group linkage method in SPSS (version 16.0, USA). In addition, principal component analysis (PCA) was also applied to clarify the relationship between these species by using SIMCA-P (version 11.0 Umetrics, Umea, Sweden).

Conclusions
A validated HPLC-UV method for simultaneously quantifying of five iridoid glycosides, e.g. loganic acid (1), swertiamarinin (2), gentiopicroside (3), sweroside (4) and 2 0 -(o,m-dihydroxybenzyl)sweroside (5), in ''Long-Dan'', ''Qin-Jiao'' and their adulterants was established in the present study. It was found that the chemical constituents of ''Long-Dan'', ''Qin-Jiao'' and their adulterants were differed from each other, even among the samples from the same species, due to different geographical positions and climatic conditions, which may cause the qualitative differences between the plants from various areas.
In the Chinese Pharmacopoeia, it recorded that the content of gentiopicroside (3) should be no less than 2 % in ''Long-Dan'' with an exception for G. rigescens (no less than 1 %), and the total contents of gentiopicroside (3) and loganic acid (1) must be no less than 2.5 % in ''Qin-Jiao''. Our present study showed that except for loganic acid (1) and gentiopicroside (3), other two iridoid glycosides, swertiamarinin (2) and sweroside (4) were also common constituents in ''Long-Dan'' and ''Qin-Jiao'', while 2 0 -(o,m-dihydroxybenzyl)sweroside (5) was only detected in one ''Long-Dan'' species, G. rigescens. Swertiamarinin (2), sweroside (4), and 2 0 -(o,m-dihydroxybenzyl)sweroside (5) were reported to have potential COX1/2 inhibition in zebrafish model [12]. It suggested that their contents should be also used for the quality control of ''Long-Dan'' and ''Qing-Jiao'', which maybe more accurate if multivariate quantitative detection of these bioactive ingredients as control was adapted. Moreover, from the phytochemical point of view, our study supported that the four different Gentiana species have been recorded as one of the ''Long-Dan'' or ''Qin-Jiao'' origins in the Chinese Pharmacopoeia. Although the contents of compounds 1-5 were various in different species, it should explain the geo-herbalism opinion in phytochemical terms.

Electronic Supplementary Material
The sample list, the contents (%), calibration curves, 1 H NMR and MS spectra of compounds 1-5, the intraday precision of sample 1 (S1), the HPLC-MS spectra of compounds 1-5 in sample 1 (S1) are provided as links available below as supporting information.