Quantitative Analysis of 18 Marker Components in the Traditional Korean Medicine, Cheongsangbangpung-Tang, Using High-Performance Liquid Chromatography Combined with Photodiode Array Detector
Abstract
:1. Introduction
2. Materials and Methods
2.1. Plant Materials
2.2. Chemicals and Reagents
2.3. Preparation of CSBPT Water Extract
2.4. Preparation of Test Solution and Standard Solution for HPLC–PDA
2.5. HPLC Equipment and Chromatographic Separation Conditions
2.6. Validation of the Analytical Method
3. Results and Discussion
3.1. Confirmation of the Main Component in Each Raw Herbal Medicine
3.2. Selection of Marker Components for Quality Assessment of CSBPT
3.3. Optimization of HPLC Chromatographic Separation Conditions
3.4. Method Validation of the Developed HPLC Analytical Method
3.5. Quantification of Compounds 1–18 in CSBPT Samples
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
- Woo, C.Y.; Kim, D.C. Skin regeneration, anti-wrinkle, whitening and moisturizing effects of Cheongsangbangpung-tang aqueous extracts with cytotoxicity. J. Korean Obs. Gynecol. 2017, 30, 49–70. [Google Scholar]
- Heo, J. Donguibogam; Namsandang: Seoul, Korea, 2007; p. 211. [Google Scholar]
- Higaki, S.; Hasegawa, Y.; Morohashi, M.; Takayoshi, Y. The correlation of Kampo formulations and their ingredients on anti-bacterial activities against Propionibacterium acnes. J. Derm. 1995, 22, 4–9. [Google Scholar] [CrossRef] [PubMed]
- Lee, E.S.; Seo, B.I. The antimicrobial activity of Cheongsangbangpungtang on Proteus sp. Korea J. Herbol. 2004, 19, 101–108. [Google Scholar]
- Jo, H.; Oh, E.; Jee, S.; Seo, B. The antimicrobial activity of Cheongsangbangpungtang and its composition oriental medicines against Staphylococcus aureus. Korea J. Herbol. 2003, 18, 37–47. [Google Scholar]
- Jin, K.S.; Lim, T.H.; Park, E.J.; Lee, H.J.; Han, K.H.; Na, W.K. Regulatory effect of atopic allergic reaction by Chungsangbangpoong-tang. J. Korean Orient. Pediatr. 2004, 18, 61–76. [Google Scholar]
- Saruwatari, J.; Takashima, A.; Yoshida, K.; Soraoka, H.; Ding, T.B.; Uchiyashiki, Y.; Tsuda, Y.; Imamura, M.; Oniki, K.; Miyata, K.; et al. Effects of Seijo-bofu-to, a traditional Japanese herbal medicine containing furanocoumarin derivatives, on the drug-metabolizing enzyme activities in healthy male volunteers. Basic Clin. Pharmacol. Toxicol. 2014, 115, 360–365. [Google Scholar] [CrossRef] [Green Version]
- Yang, S.H.; Lin, Y.H.; Lin, J.R.; Chen, H.Y.; Hu, S.; Yang, Y.H.; Yang, Y.H.; Yang, Y.S.; Fang, Y.G. The efficacy and safety of a fixed combination of Chinese herbal medicine in chronic urticarial: A randomized, double-blind, placebo-controlled pilot study. Front. Pharmacol. 2018, 9, 1474. [Google Scholar] [CrossRef]
- Kim, M.K.; Yang, D.H.; Jung, M.; Jung, E.H.; Eom, H.Y.; Suh, J.H.; Min, J.W.; Kim, U.; Min, H.; Kim, J.; et al. Simultaneous determination of chromones and coumarins in Radix Saposhnikoviae by high performance liquid chromatography with diode array and tandem mass detectors. J. Chromatogr. A 2011, 1218, 6319–6330. [Google Scholar] [CrossRef]
- Li, B.; Zhang, X.; Wang, J.; Zhang, L.; Gao, B.; Shi, S.; Wang, X.; Li, J.; Tu, P. Simultaneous characterisation of fifty coumarins from the roots of Angelica dahurica by off-line tow-dimensional high-performance liquid chromatography coupled with electrospray ionisation tandem mass spectrometry. Phytochem. Anal. 2014, 25, 229–240. [Google Scholar] [CrossRef]
- Won, T.H.; Liao, L.; Lee, S.H.; Son, J.K.; Shin, J. Comparative analyses of bioactive constituents from Forsythia suspensa and Forsythia viridissima by HPLC-DAD. Nat. Prod. Sci. 2011, 17, 328–336. [Google Scholar]
- Kim, H.K.; Choi, J.S.; Yoo, D.S.; Choi, Y.H.; Yon, G.H.; Hong, K.S.; Lee, B.H.; Kim, H.J.; Kim, E.J.; Park, B.K.; et al. HPLC analysis of saponins in Platycodi Radix. Kor. J. Pharmacol. 2007, 38, 192–1296. [Google Scholar]
- Tong, L.; Wan, M.; Zhang, L.; Zhu, Y.; Sun, H.; Bi, K. Simultaneous determination of baicalin, wogonoside, baicalein, wogonin, oroxylin A and chrysin of Radix Scutellariae extract in rat plasma by liquid chromatography tanderm mass spectrometry. J. Pharmacol. BioMed Anal. 2012, 70, 6–12. [Google Scholar] [CrossRef] [PubMed]
- Baek, M.E.; Seong, G.U.; Lee, Y.J.; Won, J.H. Quantitative analysis for the quality evaluation of active ingredients in Cnidium Rhizome. Yakhak Hoeji 2016, 60, 227–234. [Google Scholar] [CrossRef]
- Shan, M.Q.; Qian, Y.; Yu, S.; Guo, S.C.; Zhang, L.; Ding, A.W.; Wu, Q.N. Anti-inflammatory effect of volatile oil from Schizonepeta tenuifolia on carrageenin-induced pleurisy in rats and its application to study of appropriate harvesting time coupled with multi-attribute comprehensive index method. J. Ethnopharmacol. 2016, 194, 580–586. [Google Scholar] [CrossRef] [PubMed]
- Lee, E.J.; Hong, J.K.; Whang, W.K. Simultaneous determination of bioactive marker compounds from Gardeniae Fructus by high performance liquid chromatography. Arch. Pharmacol. Res. 2014, 37, 992–1000. [Google Scholar] [CrossRef]
- Lv, X.; Li, Y.; Tang, C.; Zhang, Y.; Zhang, J.; Fan, G. Integration of HPLC-based fingerprint and quantitative analyses for differentiation botanical species and geographical growing origins of Rhizoma Coptidis. Pharmacol. Biol. 2016, 54, 3264–3271. [Google Scholar] [CrossRef] [Green Version]
- Wang, C.; Pan, Y.; Fan, G.; Chai, Y.; Wu, Y. Application of an efficient strategy based on MAE, HPLC-DAD-MS/MS and HSCCC for the rapid extraction, identification, separation and purification of flavonoids from Fructus Aurantii Immaturus. BioMed Chromatogr. 2010, 24, 235–244. [Google Scholar] [CrossRef]
- Shin, K.E.; Park, H.K. Changes of essential oils from Mentha piperita L. influenced by various cultivation conditions and harvesting time. Korea J. Food Sci. Technol. 1994, 26, 512–519. [Google Scholar]
- Zhou, S.; Cao, J.; Qiu, F.; Kong, W.; Yang, S.; Yang, M. Simultaneous determination of five bioactive components in Radix Glycyrrhizae by pressurized liquid extraction combined with UPLC-PDA and UPLC/ESI-QTOF-MS confirmation. Phytochem. Anal. 2013, 24, 527–533. [Google Scholar] [CrossRef]
- Lee, K.H. The Dispensatory on the Visual and Organoleptic Examination of Herbal Medicine; National Institute of Food and Drug Safety Evaluation: Seoul, Korea, 2013; pp. 24–728.
- Seo, C.S.; Yoo, S.R.; Jeong, S.J.; Ha, H. Quantification of the constituents of the traditional Korea medicine, Samryeongbaekchul-san, and assessment of its antiadipogenic effect. Saudi Pharmacol. J. 2019, 27, 145–153. [Google Scholar] [CrossRef]
- Seo, C.S.; Shin, H.K. Simultaneous determination of 12 marker components in Yeonkyopaedok-san using HPLC-PDA and LC-MS/MS. Appl. Sci. 2020, 10, 1713. [Google Scholar] [CrossRef] [Green Version]
- Jung, M.Y.; Seo, C.S.; Baek, S.E.; Lee, J.; Shin, M.S.; Kang, K.S.; Lee, S.; Yoo, J.E. Analysis and identification of active compounds from Gami-Soyosan toxic to MCF-7 human breast adenocarcinoma cells. Biomolecules 2019, 9, 272. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Seo, C.S.; Shin, H.K. Quality assessment of traditional herbal formula, Hyeonggaeyeongyo-tang through simultaneous determination of twenty marker components by HPLC-PDA and LC-MS/MS. Saudi Pharmacol. J. 2020, 28, 427–439. [Google Scholar] [CrossRef] [PubMed]
- International Conference on Harmonisation (ICH). Q2B, Validation of analytical procedures: Methodology. November 1996. Available online: https://www.fda.gov/regulatory-information/search-fda-guidance-documents/q2b-validation-analytical-procedures-methodology (accessed on 22 December 2020).
- U.S. Food and Drug Administration. Reviewer Guidance, Validation of Chromatographic Methods; Center for Drug Evaluation and Research: Rockville, MD, USA, 1994.
Analyte | Detection (nm) | Linear Range (μg/mL) | Regression Equation a | r2 | LOD (μg/mL) | LOQ (μg/mL) |
---|---|---|---|---|---|---|
1 | 235 | 0.78–50 | y = 22,979.62x + 2649.51 | 1.0000 | 0.09 | 0.28 |
2 | 355 | 0.78–50 | y = 39,831.26x − 5918.67 | 0.9996 | 0.20 | 0.60 |
3 | 300 | 0.78–50 | y = 19,703.59x + 3163.52 | 1.0000 | 0.16 | 0.48 |
4 | 345 | 1.25–80 | y = 47,572.65x + 12858.14 | 1.0000 | 0.31 | 0.95 |
5 | 275 | 0.78–50 | y = 17,486.99x + 3289.39 | 1.0000 | 0.20 | 0.61 |
6 | 275 | 0.78–50 | y = 21,989.62x + 4049.96 | 1.0000 | 0.20 | 0.60 |
7 | 320 | 0.31–20 | y = 65,199.18x + 4792.95 | 1.0000 | 0.08 | 0.25 |
8 | 280 | 0.31–20 | y = 17,012.50x + 1238.65 | 1.0000 | 0.07 | 0.21 |
9 | 290 | 0.78–50 | y = 17,739.58x + 3428.71 | 1.0000 | 0.20 | 0.60 |
10 | 280 | 1.56–100 | y = 16,112.67x + 6984.59 | 1.0000 | 0.36 | 1.10 |
11 | 280 | 0.78–50 | y = 7271.72x + 1344.77 | 1.0000 | 0.20 | 0.60 |
12 | 275 | 0.78–50 | y = 38,381.96x + 6880.25 | 1.0000 | 0.20 | 0.61 |
13 | 310 | 0.31–20 | y = 53,174.23x + 3697.05 | 1.0000 | 0.09 | 0.28 |
14 | 275 | 0.31–20 | y = 48,111.17x + 3026.11 | 1.0000 | 0.09 | 0.28 |
15 | 275 | 0.78–50 | y = 57,618.21x + 3704.23 | 1.0000 | 0.15 | 0.45 |
16 | 280 | 0.78–50 | y = 10,789.77x + 2166.35 | 1.0000 | 0.20 | 0.61 |
17 | 250 | 0.78–50 | y = 8540.20x + 1806.55 | 1.0000 | 0.21 | 0.64 |
18 | 250 | 0.31–20 | y = 18,446.27x + 1845.86 | 1.0000 | 0.07 | 0.22 |
Analyte | Measured Amount (μg/mL) | Found Amount (μg/mL) | Recovery (%) | SD | RSD (%) |
---|---|---|---|---|---|
1 | 1.00 | 1.01 | 100.81 | 1.73 | 1.72 |
2.00 | 1.99 | 99.41 | 0.94 | 0.95 | |
4.00 | 3.93 | 98.23 | 1.17 | 1.19 | |
2 | 2.00 | 2.07 | 103.52 | 0.98 | 0.94 |
4.00 | 3.99 | 99.70 | 1.00 | 1.00 | |
8.00 | 8.27 | 103.36 | 0.59 | 0.57 | |
3 | 1.00 | 1.02 | 101.52 | 1.50 | 1.48 |
2.00 | 1.99 | 99.58 | 0.36 | 0.36 | |
4.00 | 3.96 | 99.07 | 0.82 | 0.83 | |
4 | 4.00 | 4.04 | 100.90 | 2.80 | 2.77 |
10.00 | 9.92 | 99.24 | 2.97 | 2.99 | |
20.00 | 19.41 | 97.03 | 1.13 | 1.17 | |
5 | 2.00 | 1.98 | 99.19 | 1.86 | 1.88 |
5.00 | 4.97 | 99.45 | 1.11 | 1.12 | |
10.00 | 9.91 | 99.13 | 1.40 | 1.41 | |
6 | 1.00 | 1.00 | 100.31 | 1.24 | 1.24 |
2.00 | 2.01 | 100.43 | 1.48 | 1.47 | |
4.00 | 4.04 | 101.04 | 0.85 | 0.84 | |
7 | 1.00 | 1.01 | 100.56 | 1.79 | 1.78 |
2.00 | 1.99 | 99.73 | 0.67 | 0.67 | |
4.00 | 3.91 | 97.79 | 0.44 | 0.45 | |
8 | 1.00 | 1.04 | 104.04 | 2.36 | 2.27 |
2.00 | 1.96 | 98.25 | 2.56 | 2.60 | |
4.00 | 3.97 | 99.32 | 1.50 | 1.51 | |
9 | 1.00 | 1.00 | 99.65 | 1.40 | 1.41 |
2.00 | 2.02 | 100.84 | 1.34 | 1.33 | |
4.00 | 4.06 | 101.62 | 0.84 | 0.83 | |
10 | 5.00 | 5.13 | 102.63 | 2.36 | 2.30 |
12.50 | 12.79 | 102.29 | 1.23 | 1.20 | |
25.00 | 25.09 | 100.36 | 1.36 | 1.36 | |
11 | 2.00 | 1.97 | 98.37 | 2.86 | 2.90 |
5.00 | 4.96 | 99.16 | 1.60 | 1.61 | |
10.00 | 9.86 | 98.57 | 1.01 | 1.03 | |
12 | 3.00 | 2.96 | 98.74 | 0.97 | 0.98 |
7.50 | 7.42 | 98.89 | 0.82 | 0.83 | |
15.00 | 15.44 | 102.95 | 0.72 | 0.70 | |
13 | 1.00 | 1.01 | 100.80 | 1.49 | 1.47 |
2.00 | 2.03 | 101.35 | 0.54 | 0.53 | |
4.00 | 4.05 | 101.20 | 0.67 | 0.66 | |
14 | 1.00 | 1.01 | 100.61 | 1.83 | 1.82 |
2.00 | 2.03 | 101.74 | 0.90 | 0.89 | |
4.00 | 4.14 | 103.59 | 0.88 | 0.85 | |
15 | 2.00 | 1.99 | 99.45 | 1.20 | 1.21 |
5.00 | 4.96 | 99.14 | 1.61 | 1.62 | |
10.00 | 9.82 | 98.25 | 1.79 | 1.82 | |
16 | 2.00 | 2.04 | 101.96 | 0.89 | 0.87 |
4.00 | 4.06 | 101.47 | 1.44 | 1.42 | |
8.00 | 8.04 | 100.53 | 1.64 | 1.63 | |
17 | 3.00 | 3.10 | 103.47 | 2.29 | 2.21 |
7.50 | 7.53 | 100.37 | 1.18 | 1.18 | |
15.00 | 14.99 | 99.90 | 0.34 | 0.34 | |
18 | 1.00 | 0.99 | 98.85 | 1.91 | 1.93 |
2.00 | 2.02 | 101.14 | 1.02 | 1.01 | |
4.00 | 4.10 | 102.45 | 0.57 | 0.56 |
Analyte | Conc. (μg/mL) | Intra-Day (n = 5) | Inter-Day (n = 5) | Repeatability (n = 6) | |||||
---|---|---|---|---|---|---|---|---|---|
Observed Conc. (μg/mL) | Precision (%) a | Accuracy (%) | Observed Conc. (μg/mL) | Precision (%) | Accuracy (%) | RSD (%) of Retention Time | RSD (%) of Peak Area | ||
1 | 12.50 | 12.73 | 0.91 | 101.84 | 12.80 | 0.88 | 102.39 | 0.05 | 0.52 |
25.00 | 25.91 | 1.40 | 103.64 | 25.99 | 1.24 | 103.96 | |||
50.00 | 51.13 | 0.36 | 102.25 | 51.25 | 0.68 | 102.51 | |||
2 | 12.50 | 12.56 | 0.75 | 100.44 | 12.95 | 2.67 | 103.58 | 0.05 | 0.16 |
25.00 | 24.99 | 1.23 | 99.98 | 25.41 | 2.21 | 101.64 | |||
50.00 | 51.03 | 2.81 | 102.05 | 50.98 | 2.69 | 101.97 | |||
3 | 12.50 | 12.97 | 1.49 | 103.79 | 13.33 | 2.54 | 106.62 | 0.04 | 0.52 |
25.00 | 26.05 | 1.65 | 104.18 | 26.57 | 2.56 | 106.28 | |||
50.00 | 51.50 | 1.51 | 103.00 | 51.72 | 1.79 | 103.44 | |||
4 | 20.00 | 20.72 | 1.28 | 103.62 | 21.30 | 2.65 | 106.52 | 0.03 | 0.35 |
40.00 | 41.64 | 1.67 | 104.11 | 42.25 | 2.10 | 105.63 | |||
80.00 | 82.13 | 1.11 | 102.66 | 82.43 | 1.40 | 103.03 | |||
5 | 12.50 | 13.09 | 2.00 | 104.74 | 13.41 | 2.70 | 107.26 | 0.03 | 0.46 |
25.00 | 26.27 | 2.10 | 105.09 | 26.63 | 2.27 | 106.53 | |||
50.00 | 51.73 | 1.50 | 103.47 | 51.85 | 1.46 | 103.70 | |||
6 | 12.50 | 13.06 | 1.82 | 104.48 | 13.34 | 2.52 | 106.69 | 0.03 | 0.41 |
25.00 | 26.27 | 1.96 | 105.06 | 26.59 | 2.01 | 106.34 | |||
50.00 | 51.67 | 1.31 | 103.34 | 51.73 | 1.20 | 103.46 | |||
7 | 5.00 | 5.20 | 1.44 | 104.07 | 5.34 | 2.33 | 106.90 | 0.03 | 0.37 |
10.00 | 10.49 | 1.53 | 104.86 | 10.66 | 2.34 | 106.62 | |||
20.00 | 20.65 | 1.39 | 103.24 | 20.74 | 1.54 | 103.69 | |||
8 | 5.00 | 5.21 | 1.87 | 104.22 | 5.37 | 3.04 | 107.48 | 0.03 | 0.40 |
10.00 | 10.50 | 1.69 | 104.97 | 10.68 | 2.43 | 106.78 | |||
20.00 | 20.68 | 1.36 | 103.41 | 20.79 | 1.65 | 103.97 | |||
9 | 12.50 | 12.89 | 1.73 | 103.12 | 13.20 | 2.33 | 105.63 | 0.03 | 0.25 |
25.00 | 26.02 | 2.05 | 104.09 | 26.41 | 2.37 | 105.62 | |||
50.00 | 51.04 | 1.42 | 102.08 | 51.29 | 1.60 | 102.58 | |||
10 | 25.00 | 26.14 | 1.83 | 104.56 | 26.96 | 3.05 | 107.85 | 0.03 | 0.35 |
50.00 | 52.56 | 1.77 | 105.12 | 53.45 | 2.41 | 106.90 | |||
100.00 | 103.20 | 1.43 | 103.20 | 103.79 | 1.67 | 103.79 | |||
11 | 12.50 | 13.09 | 1.79 | 104.73 | 13.52 | 3.09 | 108.17 | 0.02 | 0.39 |
25.00 | 26.44 | 1.98 | 105.75 | 26.86 | 2.38 | 107.44 | |||
50.00 | 52.21 | 1.52 | 104.43 | 52.41 | 1.69 | 104.82 | |||
12 | 12.50 | 12.85 | 1.67 | 102.80 | 13.29 | 3.07 | 106.32 | 0.02 | 0.43 |
25.00 | 26.10 | 1.32 | 104.42 | 26.39 | 1.69 | 105.55 | |||
50.00 | 51.32 | 1.39 | 102.63 | 51.66 | 1.60 | 103.31 | |||
13 | 5.00 | 5.22 | 1.74 | 104.38 | 5.35 | 2.53 | 107.03 | 0.02 | 0.33 |
10.00 | 10.52 | 1.94 | 105.17 | 10.63 | 2.02 | 106.32 | |||
20.00 | 20.67 | 1.39 | 103.34 | 20.69 | 1.23 | 103.46 | |||
14 | 5.00 | 5.19 | 1.73 | 103.87 | 5.37 | 3.08 | 107.31 | 0.02 | 0.35 |
10.00 | 10.49 | 1.82 | 104.91 | 10.66 | 2.37 | 106.58 | |||
20.00 | 20.62 | 1.30 | 103.09 | 20.74 | 1.54 | 103.68 | |||
15 | 12.50 | 12.87 | 1.50 | 102.94 | 13.13 | 2.83 | 105.03 | 0.02 | 0.39 |
25.00 | 26.04 | 0.99 | 104.17 | 26.18 | 1.22 | 104.71 | |||
50.00 | 51.45 | 1.12 | 102.90 | 51.19 | 0.93 | 102.38 | |||
16 | 12.50 | 13.07 | 1.81 | 104.60 | 13.47 | 2.95 | 107.79 | 0.02 | 0.38 |
25.00 | 26.28 | 1.92 | 105.13 | 26.71 | 2.43 | 106.83 | |||
50.00 | 51.65 | 1.40 | 103.31 | 51.92 | 1.65 | 103.84 | |||
17 | 12.50 | 13.07 | 1.83 | 104.55 | 13.36 | 2.06 | 106.85 | 0.01 | 0.32 |
25.00 | 26.20 | 1.74 | 104.82 | 26.50 | 1.79 | 106.02 | |||
50.00 | 51.54 | 1.32 | 103.08 | 51.83 | 1.59 | 103.67 | |||
18 | 5.00 | 5.18 | 1.18 | 103.58 | 5.31 | 2.22 | 106.24 | 0.01 | 0.27 |
10.00 | 10.41 | 1.33 | 104.06 | 10.55 | 1.83 | 105.53 | |||
20.00 | 20.52 | 1.06 | 102.60 | 20.57 | 1.02 | 102.87 |
Analyte | Batch No. | |||||
---|---|---|---|---|---|---|
I | II | III | ||||
Mean (mg/g) ± SD (×10−2) | RSD (%) | Mean (mg/g) ± SD (×10−2) | RSD (%) | Mean (mg/g) ± SD (×10−2) | RSD (%) | |
1 | 5.33 ± 1.02 | 0.19 | 5.35 ± 4.59 | 0.86 | 5.41 ± 3.41 | 0.63 |
2 | 0.70 ± 0.45 | 0.63 | 0.75 ± 0.31 | 0.41 | 0.71 ± 0.19 | 0.26 |
3 | 0.60 ± 0.87 | 1.45 | 0.59 ± 0.60 | 1.02 | 0.59 ± 0.18 | 0.31 |
4 | 2.30 ± 3.72 | 1.62 | 2.45 ± 2.10 | 0.86 | 2.30 ± 1.70 | 0.74 |
5 | 1.16 ± 1.41 | 1.22 | 1.16 ± 1.18 | 1.01 | 1.14 ± 0.97 | 0.86 |
6 | 0.54 ± 0.45 | 0.82 | 0.55 ± 0.41 | 0.75 | 0.54 ± 0.25 | 0.47 |
7 | 0.50 ± 0.20 | 0.39 | 0.50 ± 0.94 | 1.87 | 0.50 ± 0.29 | 0.58 |
8 | 4.55 ± 0.42 | 0.09 | 4.57 ± 2.82 | 0.62 | 4.56 ± 1.21 | 0.27 |
9 | 0.60 ± 0.32 | 0.53 | 0.60 ± 0.51 | 0.84 | 0.60 ± 0.24 | 0.40 |
10 | 2.51 ± 1.45 | 0.58 | 2.54 ± 1.66 | 0.65 | 2.51 ± 1.54 | 0.61 |
11 | 1.11 ± 1.04 | 0.94 | 1.16 ± 1.60 | 1.38 | 1.15 ± 2.10 | 1.83 |
12 | 17.82 ± 7.34 | 0.41 | 18.31 ± 3.76 | 0.21 | 18.19 ± 9.31 | 0.51 |
13 | 0.46 ± 0.03 | 0.06 | 0.47 ± 0.28 | 0.60 | 0.47 ± 0.23 | 0.50 |
14 | 4.40 ± 1.65 | 0.38 | 4.52 ± 2.19 | 0.48 | 4.48 ± 1.05 | 0.24 |
15 | 1.02 ± 2.23 | 2.19 | 1.05 ± 1.49 | 1.42 | 0.99 ± 2.01 | 2.02 |
16 | 0.82 ± 0.20 | 0.24 | 0.85 ± 0.25 | 0.30 | 0.82 ± 0.72 | 0.88 |
17 | 1.51 ± 0.82 | 0.54 | 1.52 ± 0.25 | 0.16 | 1.48 ± 0.29 | 0.20 |
18 | 0.27 ± 0.08 | 0.28 | 0.27 ± 0.05 | 0.17 | 0.27 ± 0.07 | 0.26 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Seo, C.-S.; Shin, H.-K. Quantitative Analysis of 18 Marker Components in the Traditional Korean Medicine, Cheongsangbangpung-Tang, Using High-Performance Liquid Chromatography Combined with Photodiode Array Detector. Appl. Sci. 2021, 11, 14. https://doi.org/10.3390/app11010014
Seo C-S, Shin H-K. Quantitative Analysis of 18 Marker Components in the Traditional Korean Medicine, Cheongsangbangpung-Tang, Using High-Performance Liquid Chromatography Combined with Photodiode Array Detector. Applied Sciences. 2021; 11(1):14. https://doi.org/10.3390/app11010014
Chicago/Turabian StyleSeo, Chang-Seob, and Hyeun-Kyoo Shin. 2021. "Quantitative Analysis of 18 Marker Components in the Traditional Korean Medicine, Cheongsangbangpung-Tang, Using High-Performance Liquid Chromatography Combined with Photodiode Array Detector" Applied Sciences 11, no. 1: 14. https://doi.org/10.3390/app11010014
APA StyleSeo, C. -S., & Shin, H. -K. (2021). Quantitative Analysis of 18 Marker Components in the Traditional Korean Medicine, Cheongsangbangpung-Tang, Using High-Performance Liquid Chromatography Combined with Photodiode Array Detector. Applied Sciences, 11(1), 14. https://doi.org/10.3390/app11010014