Abstract
A simple gradient high-performance liquid chromatography with diode array detection (HPLC-DAD) method was used to simultaneously to analyze characteristics of six indicator compounds in the traditional Chinese medicine (TCM) formulation Wen-Qing-Yin (WQY). Separate optimization was performed using a Cosmosil C18 column gradient method with 0.1% formic acid in both mobile phases of aqueous and acetonitrile (ACN), at a flow rate, detection wavelength, and sample volume of 1.8 mL/min, 268 nm, and 10 μL, respectively. The linear regression of six active compounds berberine (BER), baicalin (BAI), ferulic acid (FER), geniposide (GEN), hydorxymethoxylfurfural (HMF), and paeoniflorin (PAE) was produced at the concentration range of 10–2000 μg/mL. The method validation revealed an acceptable precision (intra- and inter-day precision < 3.39% and 4.11%, respectively) and recovery (85.60–110.45% and 86.58–110.90%), a recovery range of 86.61–109.42%, and sensitivity (limit of detection [LOD] and limit of quantification [LOQ] values were in the range of 0.03–3.13, and 0.08–9.38 μg/mL, respectively) while the calibration curves were linear with a correlation coefficient (R2) ranging from 0.9966 to 0.9989. The qualitative and quantitative analyses were performed by direct comparison of the peaks of the WCY extract to retention times of reference standards. Additionally, principal component analysis (PCA) successfully discriminated four purchased commercial samples of all six indicator constituents, and the present results indicate their comprehensive potential usefulness for qualitative and quantitative analyses of the WQY decoction and its commercial products.
Keywords: HPLC-DAD, Method validation, PCA analysis, Traditional Chinese medicine, Wen-Qing-Yin
1. Introduction
Recently, traditional Chinese medicine (TCM) formulations are gaining increasing attention in numerous fields because of their low toxicity and mild therapeutic activity [1]. In contrast to pharmaceutical drugs that contain specific active constituents and exhibit clear dose-dependent effects and cytotoxic, herbal medicines are often derived from complex systems containing multiple components [2]. Furthermore, all the components in TCM preparations are considered to contribute to mediating the beneficial effects and not just a few active compounds. TCM formulations are composed of diverse components, and their contents vary with growing soil, climate, and the growth stage when harvested [3]. This makes the quality control of crude drugs and their medical preparations extremely difficult; similarly, the quality of medicines is also an important foundation for their clinical efficacy [4]. Traditionally, the contents of active components in TCM formulations have been used to evaluate the quality of raw herbal medicines [5,6].
Wen-Qing-Yin (WQY), a combinatorial formula, includes Coptidis Rhizoma (Huang Lian), Scutellaria Radix (Huang Qin), Phellodendri Cortex (Huang Bai), Gardeniae Fructus (Zhi Zi), Rehmanniae Radix Preparata (Shu Di Huang), Chuanxiong Rhizoma (Chuan Xiong), Angelicae Sinensis Radix (Dang Gui), and Paeoniae Alba Radix (Bai Shao) in equal proportions. Generally, WQY has been clinically used to regularize the menstrual cycle, clear heat and purge pathogenic fire, resolve toxins, nourish and quicken the blood, and stop bleeding [7]. WQY is composed of Huang Lian Jie Du Tang (HLJDT) and SiWu Tang (SWT), which has been investigated for hypotensive effects on the theophylline-induced increase in arterial blood pressure [8]. In addition, several studies revealed the exceptional pharmacological activities such as anticancer [9–12], anti-inflammatory [13–17], anti-oxidation [17–20] and antimicrobial [21–24].
Several analytical methods have been reported for the simultaneous determination of indicator compounds in herbal medicines formula, such as ultra-high-performance liquid chromatography (UHPLC) [25], capillary electrophoresis (CE) [26], and HPLC coupled with other detectors including ultraviolet (UV), mass spectrometry [27], a diode array detector (DAD) [28], and electrochemical [29] detection. However, HPLC-DAD is the recommended and most popular technique for the analysis of herbal formula because of its wide choice of mobile phases, column, contamination resistant, and low cost. It plays a crucial role in the compound separation of mix substance to improve the elucidation of the role of individual molecules.
Consequently, it is important to identify suitable methods to monitor the amount of active ingredients in the combinatorial formula in quality control analyses of medicine manufacturers. Currently, very limited studies on WQY have been carried out in the analytical sciences. Hence, a simple and efficient analytical method was developed for the simultaneous detection of the constituents of WQY is important. Especially, principal components analysis (PCA) [30], a mathematical procedure, which is used to minimize data dimensionality combined with HPLC chromatographic data provided on the important information for the evaluation of WQY commercial products. In this study, although we simultaneously quantified six major quality indicators (indicators recorded in Taiwan Herbal Pharmacopoeia for WQY) in WQY by the method established by us, our findings showed that using only a few indicators is not sufficient to determine the quality of commercial products. Moreover, our validated HPLC method was then successfully applied to quantify these crude herbs and commercial products.
2. Materials and methods
2.1. Chemicals and reagents
HPLC grade methanol (MeOH, Beijing Chemical Reagent Company, Beijing, China) was used for sample extraction, and HPLC grade acetonitrile (ACN) used as the mobile phase were purchased from J.T. Baker Chemical Co. (Phillipsburg, NJ, USA). Deionized water from a Millipore water purification system (Millipore, Bedford, MA, USA) and analytical grade formic acid (Beijing Chemical Reagent Company, Beijing, China) were used for the HPLC analysis. Berberine (BER), baicalin (BAI), ferulic acid (FER), geniposide (GEN), hydorxymethoxylfurfural (HMF), and paeoniflorin (PAE) with a purity of >95% by HPLC were purchased from Sigma–Aldrich (St. Louis, MO, USA). All standards were filtered using 0.22 μm membranes before use. Four commercial products were purchased from factories of Sun Ten Pharmaceutial Co., Ltd., Chuang Song Zong Pharmaceutial Co., Ltd., Fu Tian Pharmaceutial Co., Ltd., and Sheng Foong Co., Ltd., respectively.
2.2. Sample preparations
The raw materials of Coptidis Rhizoma (Huang Lian), Scutellaria Radix (Huang Qin), Phellodendri Cortex (Huang Bai), Gardeniae Fructus (Zhi Zi), Rehmanniae Radix Preparata (Shu Di Huang), Chuanxiong Rhizoma (Chuan Xiong), Angelicae sinensis Radix (Dang Gui), and Paeoniae alba Radix (Bai Shao) were powdered using a homogenizer, filtered through a 40-mesh sieve, divided into equal proportions, and dissolved with 100% MeOH in a volumetric flask to a final concentration of 1 mg/mL for decoction extraction. After ultrasonic extraction for 30 min at 28 ± 1 °C and 20 kHz frequency, the extract was vacuum-filtered using Whatman No. 1 filter paper and then further filtered through a 0.22 μm membrane. For the determination of BER, BAI, FER, GEN, HMF, and PAE a 10 μL aliquot of the solution was injected into the HPLC-DAD system and analyzed immediately. The contents of the analytes were determined from the corresponding calibration curve.
2.3. HPLC apparatus and conditions
The components of the methanolic extract of WQY formula were characterized using HPLC DAD analysis. The HPLC apparatus used was a Waters® Alliance 2695 series chromatograph system (Milford Corp., MA, USA) consisting of a quaternary pump and photodiode array detector, and a reversed-phase column of Cosmosil 5C18-AR-II (4.6 × 150 mm, 5 μm, Nacalai USA, Inc., Kyoto, Japan)was used for the separation. Themobile phase was composed of 0.1% formic acid in water (A) and ACN (B). The gradient conditions were as follows: 0.5 min, 0% B; 10 min, 20%B; 30min, 30%B; 30 min, 40%B; 20min, 100%B, and then a 10 min hold before returning to the initial conditions. The flow rate was 1.8 mL/min. The wavelength was set at UV 268 nm, and absorption spectra of the compounds were recorded between 200 nm and 400 nm. The column temperature was 30 ± 2 °C, and the sample injection volume was 10 μL. The compounds were identified by comparing their retention times and UV spectra with those of the standards.
2.4. Method validation for standard analysis
2.4.1. Regression equations
Linear regression analysis of each of the six compounds was performed based on the estimated standard curve in triplicate using six different concentrations. A, b, and rare the coefficients of the regression , equationy = ax + b, x indicates the concentrations of the marker compounds (μg/mL), and y and R2 are the peak area and coefficient of correlation of the equation, respectively. The standard curve was constructed over a concentration range of 10–200 μg/mL for HMF, 200–2000 for GEN and PAE, 20–100 for FER, 600–2000 for BER, and 200–1000 for BAI. The line for each compound was plotted using a linear regression of the peak area vs concentration. The R2 was used to determine the linearity. All the marker compounds showed linearity (R2 > 0.995) in a relatively wide concentration range detected at 268 nm. Furthermore, the concentrations of these compounds in the commercial products were also calculated using the same regression parameters.
2.4.2. Intra- and inter-day precision and recovery
To assess the recovery of the data, the proximity of the obtained value to the “true” value can be estimated similarly to recovery. By adding known amounts of three concentration levels (low, medium, and high) of the six marker compounds to the powdered sample, after sample preparation and extraction, the concentration of recovery of the substances can be calculated (standard addition method). The precision results of the developed analytical method were expressed as the relative standard deviation (RSD) of multiple samplings of the same homogeneous sample. Precision and recovery were estimated as intra-day and inter-day.
2.4.3. System validation, repeatability, and stability
The intra- and inter-day precision of the developed analytical procedure obtained from multiple samplings of the mixed compound standard (six in a single day and three within 3 days). The repeatability of the developed method was estimated by sampling six times a day. The intra- and inter-day precision was determined from six analyses in the same day and three in 3 days. Furthermore, the stability was analyzed by injecting three aliquots of a sample solution during three time-points, 0, 24, and 48 at 15 °C ± 1. The RSD was considered a measure of the precision.
2.4.4. Limit of detection (LOD) and limit of quantification (LOQ)
The limit of detection (LOD) and limit of quantification (LOQ) are considered the lowest compound concentration detectable and the exact value determinable with suitable precision and recovery, respectively. The LOD and LOQ were determined at a signal to noise ratio (S/N) of 3 and 10, respectively as the lowest concentrations of the analyte.
2.4.5. Recovery
An appropriate amount of the WQY decoction to be extracted was divided into one portion as the control group, and another three portions that were spiked with marker standards at three concentration levels (low, medium, and high). After all the samples were extracted with MeOH and then filtered through a 0.45 μm membrane filter, the filtrates were assayed using HPLC to determine the recoveries, which were calculated using the following equation: recovery (%) = (total amount detected – amount original)/amount spiked × 100.
2.4.6. Quantification of marker components
For the crude herb analysis, 2 g samples of pulverized Coptidis Rhizoma, Scutellaria baicalensis, Cortex Phellodendri, Fructus Gardeniae, Rehmanniae Radix Preparata, Chuanxiong Rhizoma, A. sinensis Radix, and P. alba Radix were extracted with 20 mL of 99.5% methanol by sonication at 28 ± 1 °C for 30 min. The suspension was centrifuged at 3000 rpm for 10 min, and then filtered using a 0.22 μm filter and analyzed by HPLC.
3. Results
3.1. Optimized HPLC condition
The structures of these compounds are shown in Fig. 1. The absorption maxima of HMF, GEN, PAE, FER, BER, and BAI were in the range of 200–400 nm on the ultraviolet (UV) full-spectra with three-dimensional chromatograms and a monitoring wavelength for quantitative determination at 268 nm was altered to obtain the baseline separation of marker compounds. As the polarity and other properties of the various marker substances differ greatly, gradient elution was carried out to successfully separate the compounds in the WQY decoction using HPLC with 0.1% (v/v) formic acid-ACN as the mobile phase within ~65 min (Fig. 2).
Fig. 1.
Structures of the six indicator compounds.
Fig. 2.
(A) High-performance liquid chromatography (HPLC) peaks of six indicator compounds. HMF, hydroxymethyl furfural; GEN, geniposide; PAE, paeoniflorin; FER, ferulic acid; BER, berberine; BAI, baicalin. (B) Six indicator compounds in self-prepared Wen-Qing-Yin (WQY).
3.2. Linear regression equations, LOD and LOQ
The calculated results are shown in Table 1. All the marker substances showed linearity (R2 > 0.995) in a relatively wide concentration range. The LODs and LOQs were detected at 268 nm.
Table 1.
Calibration parameters of high-performance liquid chromatography-diode array detection (HPLC-DAD) analysis of six compounds.
Compounda | Retention time | Regression equationd | R 2 | Standard curve (μg/mL) | LODb (μg/mL) | LOQc (μg/mL) |
---|---|---|---|---|---|---|
HMF | 2.7 | y = 5881x − 18999 | 0.9967 | 10–200 | 0.15 | 0.46 |
GEN | 20.8 | y = 555x − 11368 | 0.9972 | 200–2000 | 3.13 | 9.38 |
PAE | 25.5 | y = 313x − 12227 | 0.9981 | 200–2000 | 3.13 | 9.38 |
FER | 27.9 | y = 9513x + 5542 | 0.9966 | 20–100 | 0.16 | 0.46 |
BER | 56.1 | y = 24063x − 1521369 | 0.9989 | 600–2000 | 0.03 | 0.08 |
BAI | 63.1 | y = 19983x − 684951 | 0.9976 | 200–1000 | 0.03 | 0.08 |
Hydroxymethyl furfural, HMF; geniposide, GEN; paeoniflorin, PAE; ferulic acid, FER; berberine, BER; baicalin, BAI.
LOD = 3 × signal-to-noise ratio.
LOQ = 10 × signal-to-noise ratio.
In the regression equation y = ax + b, x and y indicate the concentration (μg/mL) and peak area (mAU), respectively. R2 is the correlation coefficient of the
3.3. Intra- and inter-day precision and recovery
The within-day and day-to-day precision and recovery data of each marker compound are shown in Table 2a. The RSD of the within-day and day-to-day were <3.39–4.11%, and the recovery ranged from 85.60 to 110.45% and 86.58–110.90%, respectively.
Table 2a.
Intra- and inter-day precision and recovery.
Compounda | Theoretical conc. (μg/mL) | Found conc. (μg/mL) | Precision (%) | Recovery (%) | |||
---|---|---|---|---|---|---|---|
|
|
|
|||||
Intra-dayb | Inter-dayc | Intra-dayb | Inter-dayc | Intra-dayb | Inter-dayc | ||
HMF | 20 | 20.93 | 20.28 | 3.39 | 3.03 | 104.63 | 89.19 |
40 | 39.43 | 41.09 | 1.60 | 4.11 | 98.56 | 90.34 | |
60 | 66.27 | 66.54 | 1.55 | 1.57 | 110.45 | 110.90 | |
GEN | 200 | 201.31 | 198.61 | 1.24 | 1.22 | 99.30 | 100.66 |
400 | 367.77 | 375.86 | 0.83 | 1.96 | 93.96 | 91.94 | |
600 | 626.98 | 620.72 | 0.11 | 0.91 | 103.45 | 104.50 | |
PAE | 200 | 198.13 | 205.37 | 0.43 | 3.80 | 99.06 | 102.68 |
400 | 379.37 | 391.95 | 2.13 | 3.08 | 94.84 | 97.99 | |
600 | 572.74 | 582.20 | 0.57 | 1.98 | 95.46 | 97.03 | |
FER | 20 | 16.92 | 17.32 | 1.32 | 1.98 | 84.60 | 86.58 |
40 | 36.16 | 36.30 | 0.80 | 0.89 | 90.41 | 90.75 | |
60 | 52.38 | 52.91 | 2.25 | 2.44 | 87.30 | 88.18 | |
BER | 600 | 566.11 | 582.31 | 0.58 | 3.83 | 94.35 | 97.05 |
800 | 776.18 | 772.57 | 0.45 | 1.66 | 97.02 | 96.57 | |
1000 | 950.99 | 942.41 | 0.17 | 1.32 | 95.10 | 94.24 | |
BAI | 200 | 198.79 | 201.71 | 1.18 | 1.32 | 99.39 | 100.86 |
400 | 343.99 | 348.51 | 0.33 | 1.80 | 86.01 | 87.13 | |
600 | 524.76 | 548.91 | 1.65 | 3.87 | 87.46 | 91.48 |
Hydroxymethyl furfural, HMF; geniposide, GEN; paeoniflorin, PAE; ferulic acid, FER; berberine, BER; baicalin, BAI.
Intra-day at three times in 1 day.
Inter-day on 3 different days.
3.4. Precision, repeatability, and stability
The repeatability was examined using six batches of the sample solutions, and Table 2b shows that the RSD of the six compounds ranged from 0.02 to 0.83%. One of the sample solutions was injected into the HPLC-DAD system at 0, 24 and 48 h, to determine the stability of the solution and it showed RSD values ranging from 0.75 to 1.92%.
Table 2b.
Precision analysis of standard and stability and repeatability of Wen-Qing-Yin (WQY) samples.
Compounda | Precision RSD (%) | Repeatability RSD (%) (six batch per day) | dStability RSD (%) (cwithin 3 days) | |
---|---|---|---|---|
| ||||
Intra-dayb | Inter-dayc | |||
HMF | 0.96 | 0.90 | 0.66 | 2.92 |
GEN | 0.32 | 0.23 | 0.83 | 1.68 |
PAE | 0.33 | 0.24 | 0.24 | 0.75 |
FER | 0.41 | 0.33 | 0.25 | 1.29 |
BER | 0.05 | 0.05 | 0.10 | 1.26 |
BAI | 0.01 | 0.02 | 0.02 | 1.34 |
Hydroxymethyl furfural, HMF; geniposide, GEN; paeoniflorin, PAE; ferulic acid, FER; berberine, BER; baicalin, BAI.
Intra-day at three times in 1 day.
On 3 different days.
Stored at 15 °C.
3.5. Recovery
The average recoveries of six standards spiked into the WQY extract at low, medium, and high levels ranged from 101.05 to 109.42% for HMF, 101.70 to 101.29% for GEN, 106.08 to 99.17% for PAE, 87.54 to 86.61% for FER, 95.52 to 94.81% for BER and 101.17 to 92.87% for BAI.
3.6. Determination of six compounds in WQY
Fig. 2 shows the chromatogram of the HPLC-separated mixture of the six standards and the prepared WQY. The retention times of the six compounds were 2.7, 20.8, 25.5, 27.9, 56.1, and 63.1 min for HMF, GEN, PAE, FER, BER, and BAI, respectively. The qualitative and quantitative data of the analyzed commercial products are shown in Fig. 3 and Table 3.
Fig. 3.
Principle component analysis (PCA) of four commercial products.
Table 3.
Content of six compounds in four different commercial products.
Product | Contentsa [μg/mL, n = 3 (RSD)] | |||||
---|---|---|---|---|---|---|
|
||||||
HMF | GEN | PAE | FER | BER | BAI | |
Sample A | 52.98 (0.41) | 507.32 (0.49) | 504.48 (4.09) | 18.63 (0.94) | 647.87 (0.27) | 613.44 (0.22) |
Sample B | 53.87 (0.42) | 747.26 (0.52) | 378.76 (0.41) | 23.23 (0.16) | 637.87 (0.09) | 617.81 (0.28) |
Sample C | 63.88 (0.95) | 651.66 (0.16) | 264.96 (0.56) | 31.54 (0.97) | 691.70 (0.13) | 567.85 (0.03) |
Sample D | 65.33 (0.29) | 769.39 (0.40) | 474.35 (2.39) | 29.35 (3.33) | 897.46 (0.32) | 545.36 (1.04) |
Hydroxymethyl furfural, HMF; geniposide, GEN; paeoniflorin, PAE; ferulic acid, FER; berberine, BER; baicalin, BAI. RSD, relative standard deviation.
3.7. PCA
The clear separation of different WQY products containing the six indicator compounds was observed in the PCA score plot, where each coordinate represented a sample. The PCA of the HPLC data of four WQY products was divided into four groups (Fig. 4). Samples A, B, C, and D from the factories of Sun Ten Chuang, Song-Zong, Fu Tian, and Sheng Foong were attributed to groups A, B, C, and D, respectively. The difference between these WQY products was attributed to their different manufacturers, plant origins, material harvest time, and extraction processes.
Fig. 4.
High-performance liquid chromatography (HPLC) peaks of the six indicator compounds in four commercial products. HMF, hydroxymethyl furfural; GEN, geniposide; PAE, paeoniflorin; FER, ferulic acid; BER, berberine; BAI, baicalin.
4. Discussion
4.1. Optimization of separation conditions
Proper solvent selection is essential and commonly used to maximize extraction yield recoveries. MeOH was used to extract six compounds from the crude samples because it has very clear advantages, such as the fewest steps, shorter extraction time than other solvents, and good efficacy. However, this extraction solvent was also recommended for the six indicator compounds in the second edition of the Taiwan Herbal Pharmacopeia.
The maximum absorption wavelengths of HMF, GEN, PAE, FER, BER, and BAI were at 285, 238, 230, 320, 345, and 254 nm, respectively; however, all components were acquired in the UV full-spectral wavelength ranging from 200 to 400 nm and a wavelength of 268 nm was the optimized setting for simultaneous quantitative determination to obtain the baseline separation of the marker compounds.
As shown in Fig. 2 (B), the chromatograms of the six marker compounds in the WQY were successfully achieved with a good resolution and symmetric peaks. The peak identification results of six marker compounds were confirmed against retention time of each standards using the same elution program for the HPLC analysis.
Although the polarity and other characteristic factors of each marker compounds were significantly strong and caused long elution times (~80 min), the gradient elution successfully separated the compounds in the WQY extract using 0.1% (v/v) formic acid-ACN as the mobile phase. No interfering peaks were detected in the time frame of any of the six monitored compounds in the WQY decoction. Fig. 2 (B) shows that HMF, GEN, and PAE were at the high polar region during 0–52 min (below ~17% of ACN) and the composition of the solvent system was slowly changed to acquire good separation capacity. Although all the components could be obtained at a good resolution using a higher speed flow rate (1.8 mL/min), the analytical time would be impaired by a prolonged elution.
4.2. Linear curve
Linear regression analysis of each of the six compounds was established using the external standard method to be evaluated using the R2, range, LOD, and LOQ, which are presented in Table 1. All the marker compounds showed linearity with R2 > 0.995 at the test concentration range. The LOD and LOQ range at a signal to noise ratio of 3 and 10 for the analytes were 0.03–3.13 and 0.08–9.38 μg/mL, respectively.
4.3. Precision and recovery
The precision and recovery of the method for each analyte expressed as the RSD and percentage (recovery) were calculated for each standard concentration as required for assay validation. Table 2a shows the intra- and inter-day precision and recovery that were tested by spiking samples with three concentration levels (low, medium, and high concentration) of each marker compounds.
The variation of intra-day RSD values ranged from 0.43 to 3.39%, 0.33–2.13%, and 0.11–2.25% at the low, medium, and high levels, respectively and the corresponding inter-day RSD values ranged from 1.22 to 3.83%, 0.89–4.11%, and 0.91–3.87%, respectively. Satisfactory values of the intra-day recovery ranged from 85.60 to 104.63%, 86.01–98.56%, and 87.30–110.45% at low, medium, and high levels, respectively while the corresponding inter-day values ranged from 86.58 to 102.68%, 87.13–97.99%, and 88.18–110.90%, respectively.
Intra-day and inter-day precisions were carried out using six replicate injections of a mixed standard solution during a single day and within 3 consecutive days, and the repeatability was investigated using six batches of the working solutions and one portion was injected into the HPLC at time intervals of 0, 24 and 48 h at 15 °C for determining the stability of the solution. The data are shown in Table 2b, and RSD values of the intra- and inter-day, repeatability, and stability of the six compounds were all <2.92%.
Three levels of each of the six compounds were added to the sample to test the recovery.
The recovery data was between 86.61% and 109.42% with RSD values < 2.74% for all six compounds. Therefore, this established method showed reliability under optimized conditions.
4.4. Application for determination of six marker compounds in commercial WQY products
The developed HPLC method was validated and used to determine the components in the herbal extract and commercial WQY products. The tentatively identified peaks of the marker compounds in the chromatograms were characterized based on their retention, which was confirmed by comparison with the pure individual standard (Fig. 2). To obtain satisfactory extraction efficiency, MeOH was chosen as the extraction solvent because of its simplicity, low toxicity, and low cost (commercial application). In commercial products of WQY, the six indicator compounds could be determined individually in the chromatogram of WQY. The composition of the TCM pharmaceutical product is quite complex, industrial dependent, and some components may be altered during the manufacturing process. Hence, the contents of the analytes in the commercial products differed from those of the individual single herbs shown in Table 3. According to our result, the remarkable difference in the contents of the six compounds between the various commercial products was identified in the chromatogram as well as the PCA analysis. This variability in content might have been caused by the differences in geographic source, cultivating conditions, or manufacturing process.
5. Conclusion
Although HPLC analytical methods are currently used to determine active compounds in many natural resources, there is a need to develop more robust, simultaneous quantification methods for analyzing phytochemicals of interest. The HPLC-DAD method developed in this study was shown to be sensitive, accurate, and suitable for routine analysis of commercial WQY products. These results suggest that the established method was validated to exhibit satisfactory recovery, reproducibility, and precision for simultaneous analysis. To the best of our knowledge, this is the first report of simultaneous determination of the six major compounds in WQY decoction. With a relatively simple extraction procedure that is cost saving, the developed HPLC-DAD method combined with PCA based on the validation results of good recovery and precision could be efficiently used to qualitatively and quantitatively assess the contents of the indicator marker compounds in different WQY commercial products. Although this study used PCA, a reliable method for evaluating the quality of WQY products, the analyte contents in the commercial products in our study were different from those of the individual single herbs. Taken together, our findings indicate that the developed HPLC-DAD method rapidly and efficiently analyzed the constituents of WQY preparations, but the utilization of PCA as a quality control tool for commercial products should be further improved by monitoring more indicator marker compounds of individual medicinal herbs.
Acknowledgment
This study was supported by the Taiwan Food and Drug Administration.
Funding Statement
This study was supported by the Taiwan Food and Drug Administration.
Footnotes
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Declarations of interest
None.
Data statement
All data generated or analyzed during this study are included in this published article.
REFERENCES
- 1. Xie G, Plumb R, Su M, Xu Z, Zhao A, Qiu M, et al. Ultraperformance LC/TOF MS analysis of medicinal Panax herbs for metabolomic research. J Separ Sci. 2008;31:1015–26. doi: 10.1002/jssc.200700650. [DOI] [PubMed] [Google Scholar]
- 2. Yan D, Li J, Xiong Y, Zhang C, Luo J, Han Y, et al. Promotion of quality standard of herbal medicine by constituent removing and adding. Sci Rep. 2014;4:3668. doi: 10.1038/srep03668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Xie G, Zhao A, Li P, Li L, Jia W. Fingerprint analysis of rhizoma chuanxiong by pressurized capillary electrochromatography and high-performance liquid chromatography. Biomed Chromatogr. 2007;21:867–75. doi: 10.1002/bmc.833. [DOI] [PubMed] [Google Scholar]
- 4. Barnes J. Quality, efficacy and safety of complementary medicines: fashions, facts and the future. Part ii: efficacy and safety. Br J Clin Pharmacol. 2003;55:331–40. doi: 10.1046/j.1365-2125.2003.01811.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Wang P, Nie L, Zang H. A useful strategy to evaluate the quality consistency of traditional Chinese medicines based on liquid chromatography and chemometrics. J Anal Methods Chem. 2015;2015:589654. doi: 10.1155/2015/589654. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Seo CS, Shin HK. HPLC-PDA method for simultaneous determination of nine marker components in banhasasimtang. J Chromatogr Sci. 2016;54:299–304. doi: 10.1093/chromsci/bmv141. [DOI] [PubMed] [Google Scholar]
- 7. Koda A, Ono Y, Nishiyori T, Nagai H, Matsuura N, Mase A, et al. Immunopharmacological studies of Wen-Qing-Yin, a Chinese blended medicine: effects on type iv allergic reactions and humoral antibody production. Int J Immunopharm. 1987;9:289–95. doi: 10.1016/0192-0561(87)90053-1. [DOI] [PubMed] [Google Scholar]
- 8. Sanae F, Komatsu Y, Chisaki K, Kido T, Ishige A, Hayashi H. Effects of san’o-shashin-to and the constituent herbal medicines on theophylline-induced increase in arterial blood pressure of rats. Biol Pharm Bull. 2001;24:1137–41. doi: 10.1248/bpb.24.1137. [DOI] [PubMed] [Google Scholar]
- 9. Lin LT, Wu SJ, Lin CC. The anticancer properties and apoptosis-inducing mechanisms of cinnamaldehyde and the herbal prescription huang-lian-jie-du-tang (huang lian jie du tang) in human hepatoma cells. J Tradit Complement Med. 2013;3:227–33. doi: 10.4103/2225-4110.119732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Xu X, Yokoyama S, Hayakawa Y, Saiki I. Coptidis Rhizoma induces intrinsic apoptosis through BAX and BAK activation in human melanoma. Oncol Rep. 2017;38:538–44. doi: 10.3892/or.2017.5672. [DOI] [PubMed] [Google Scholar]
- 11. Choi BB, Choi JH, Park SR, Kim JY, Hong JW, Kim GC. Scutellariae radix induces apoptosis in chemoresistant scc-25 human tongue squamous carcinoma cells. Am J Chin Med. 2015;43:167–81. doi: 10.1142/S0192415X15500111. [DOI] [PubMed] [Google Scholar]
- 12. Chiang SC, Choi YJ, Kang SE, Yun M, Lee BJ. Herbal medicines showing synergistic effects with tumor necrosis factor-related apoptosis-inducing ligand (trail) against a549 trail-resistant lung cancer cells: a screening study. Phcog Mag. 2018;14:145–8. doi: 10.4103/pm.pm_270_17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Fujii A, Okuyama T, Wakame K, Okumura T, Ikeya Y, Nishizawa M. Identification of anti-inflammatory constituents in phellodendri cortex and coptidis rhizoma by monitoring the suppression of nitric oxide production. J Nat Med. 2017;71:745–56. doi: 10.1007/s11418-017-1107-4. [DOI] [PubMed] [Google Scholar]
- 14. Zhang G, Li C, Niu Y, Yu Q, Chen Y, Liu E. Osteoprotective effect of radix scutellariae in female hindlimb-suspended Sprague-Dawley rats and the osteogenic differentiation effect of its major constituent. Molecules. 2017;22:1044. doi: 10.3390/molecules22071044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Yin MC, Chang CH, Su CH, Yu B, Hsu YM. Pteris multifida, cortex phellodendri, and probiotics attenuated inflammatory status and immunity in mice with a Salmonella enterica serovar typhimurium infection. Biosci Biotechnol Biochem. 2018;82:836–47. doi: 10.1080/09168451.2018.1447356. [DOI] [PubMed] [Google Scholar]
- 16. Han Y, Jung HW, Lee JY, Kim JS, Kang SS, Kim YS, et al. 2,5-dihydroxyacetophenone isolated from rehmanniae radix preparata inhibits inflammatory responses in lipopolysaccharide-stimulated Raw264.7 macrophages. J Med Food. 2012;15:505–10. doi: 10.1089/jmf.2011.1940. [DOI] [PubMed] [Google Scholar]
- 17. Liu ZK, Ng CF, Shiu HT, Wong HL, Wong CW, Li KK, et al. A traditional Chinese formula composed of chuanxiong rhizoma and gastrodiae rhizoma (da chuanxiong formula) suppresses inflammatory response in LPS-induced raw 264.7 cells through inhibition of NF-kappaB pathway. J Ethnopharmacol. 2017;196:20–8. doi: 10.1016/j.jep.2016.12.014. [DOI] [PubMed] [Google Scholar]
- 18. Grzegorczyk-Karolak I, Golab K, Gburek J, Wysokinska H, Matkowski A. Inhibition of advanced glycation end-product formation and antioxidant activity by extracts and polyphenols from Scutellaria alpina l. and S. altissima l. Molecules. 2016;21:E739. doi: 10.3390/molecules21060739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Zhan JY, Yao P, Bi CW, Zheng KY, Zhang WL, Chen JP, et al. The sulfur-fumigation reduces chemical composition and biological properties of Angelicae sinensis radix. Phytomedicine. 2014;21:1318–24. doi: 10.1016/j.phymed.2014.07.002. [DOI] [PubMed] [Google Scholar]
- 20. Kong L, Wang S, Wu X, Zuo F, Qin H, Wu J. Paeoniflorin attenuates ultraviolet B-induced apoptosis in human keratinocytes by inhibiting the ROS-p38-p53 pathway. Mol Med Rep. 2016;13:3553–8. doi: 10.3892/mmr.2016.4953. [DOI] [PubMed] [Google Scholar]
- 21. Lin SJ, Chen CS, Lin SS, Chou MY, Shih HC, Lee IP, et al. In vitro anti-microbial and in vivo cytokine modulating effects of different prepared Chinese herbal medicines. Food Chem Toxicol. 2006;44:2078–85. doi: 10.1016/j.fct.2006.07.010. [DOI] [PubMed] [Google Scholar]
- 22. Lu Y, Joerger R, Wu C. Study of the chemical composition and antimicrobial activities of ethanolic extracts from roots of Scutellaria baicalensis Georgi. J Agric Food Chem. 2011;59:10934–42. doi: 10.1021/jf202741x. [DOI] [PubMed] [Google Scholar]
- 23. Yu HH, Kim KJ, Cha JD, Kim HK, Lee YE, Choi NY, et al. Antimicrobial activity of berberine alone and in combination with ampicillin or oxacillin against methicillin-resistant Staphylococcus aureus. J Med Food. 2005;8:454–61. doi: 10.1089/jmf.2005.8.454. [DOI] [PubMed] [Google Scholar]
- 24. Yang Q, Wu B, Shi Y, Du X, Fan M, Sun Z, et al. Bioactivity-guided fractionation and analysis of compounds with anti-influenza virus activity from Gardenia jasminoides Ellis. Arch Pharm Res. 2012;35:9–17. doi: 10.1007/s12272-012-0101-3. [DOI] [PubMed] [Google Scholar]
- 25. Yin G, Cheng X, Tao W, Dong Y, Bian Y, Zang W, et al. Comparative analysis of multiple representative components in the herb pair astragali radix-curcumae rhizoma and its single herbs by UPLC-QQQ-MS. J Pharmaceut Biomed Anal. 2018;148:224–9. doi: 10.1016/j.jpba.2017.09.015. [DOI] [PubMed] [Google Scholar]
- 26. Zhang L, Zhang W, Chen W, Chen G. Simultaneous determination of five bioactive constituents in rhizoma chuanxiong by capillary electrophoresis with a carbon nanotube-polydimethylsiloxane composite electrode. J Pharmaceut Biomed Anal. 2016;131:107–12. doi: 10.1016/j.jpba.2016.08.031. [DOI] [PubMed] [Google Scholar]
- 27. Shao X, Zhao J, Wang X, Tao Y. Rapid screening and quantitative determination of active components in qing-hua-yu-re-formula using UHPLC-Q-TOF/MS and HPLC-UV. J Anal Methods Chem. 2018;2018:8535127. doi: 10.1155/2018/8535127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Li S, Han Q, Qiao C, Song J, Lung CC, Xu H. Chemical markers for the quality control of herbal medicines: an overview. Chin Med. 2008;3:7. doi: 10.1186/1749-8546-3-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Shih TT, Lee HL, Chen SC, Kang CY, Shen RS, Su YA. Rapid analysis of traditional Chinese medicine pinellia ternata by microchip electrophoresis with electrochemical detection. J Separ Sci. 2018;41:740–6. doi: 10.1002/jssc.201700901. [DOI] [PubMed] [Google Scholar]
- 30. Deng W, Xu T, Yang M, Cui Y, Guo DA. Improved chromatographic fingerprinting combined with multi-components quantitative analysis for quality evaluation of Penthorum chinense by UHPLC-DAD. Nat Prod Commun. 2015;10:71–6. [PubMed] [Google Scholar]