Development and Validation of a High-Performance Liquid Chromatography Method for Quality Assessment of Oriental Medicine, Dokhwalgisaeng-Tang
Abstract
:1. Introduction
2. Materials and Methods
2.1. Plant Materials
2.2. Chemicals and Reagents
2.3. DHGST Sample Preparation
2.4. HPLC Simultaneous Quantification of the 24 Marker Compounds
2.5. System Suitability Test of the Analytical Method
2.6. Method Validation of the Developed HPLC Analytical Assay
3. Results and Discussion
3.1. Selection of Marker Components for Quality Assessment of DHGST
3.2. Establishment of Optimal HPLC–PDA Conditions
3.3. System Suitability and Method Validation of the Developed HPLC Analytical Method
3.4. Simultaneous Determination of 24 Markers Components for Quality Assessment of DHGST Sample
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- Heo, J. Donguibogam; Namsandang: Seoul, Korea, 2007; p. 303. [Google Scholar]
- Xiong, Z.; Zheng, C.; Chang, Y.; Liu, K.; Shu, L.; Zhang, C. Exploring the pharmacological mechanism of Duhuo Jisheng decoction in treating osteoporosis based on network pharmacology. Evid.-Based Complement. Alternat. Med. 2021, 2021, 5510290. [Google Scholar] [CrossRef]
- Zhou, X.; Xiang, K.; Lu, M.; Xia, H.; Zhou, X.; Yuan, X.; Wang, Z.; Li, K. A comparative study of the efficacy of Chinese herbal medicine Duhuo Jisheng decoction combined with DMARDs vs isolated DMARDs for rheumatoid arthritis. Medicine 2020, 99, e23479. [Google Scholar] [CrossRef]
- Sun, K.; Huang, F.; Qi, B.; Yin, H.; Tang, B.; Yang, B.; Chen, L.; Zhuang, M.; Wei, X.; Zhu, L. A systematic review and meta-analysis for Chinese herbal medicine Duhuo Jisheng decoction in treatment of lumbar disc herniation: A protocol for a systematic review. Medicine 2020, 99, e19310. [Google Scholar] [CrossRef]
- Xiong, Z.; Yi, P.; Zhang, L.; Ma, H.; Li, W.; Tan, M. Efficacy and safety of modified Duhuo Jisheng decection in the treatment of lumbar disc herniation: A systematic review and meta-analysis. Evid.-Based Complement. Alternat. Med. 2020, 2020, 2381462. [Google Scholar] [CrossRef]
- Li, J.; Wang, W.; Feng, G.; Du, J.; Kang, S.; Li, Z.; Zhu, W.; Shang, H. Efficacy and safety of Duhuo Jisheng decoction for postmenopausal osteoporosis: A systematic review and meta-analysis. Evid.-Based Complement. Alternat. Med. 2020, 2020, 6957825. [Google Scholar] [CrossRef]
- Zhang, W.; Wang, S.; Zhang, R.; Zhang, Y.; Li, X.; Lin, Y.; Wei, X. Evidence of Chinese herbal medicine Duhuo Jisheng decoction for knee osteoarthritis: A systematic review of randomized clinical trials. BMJ Open 2016, 6, e008973. [Google Scholar] [CrossRef] [PubMed]
- Liu, Z.; Wang, Z.; Huang, C.; Fu, Z.; Liu, Y.; Wei, Z.; Liu, S.; Ma, C.; Shen, J.; Duan, D.D. Duhuo Jisheng decoction inhibits SDF-1-induced inflammation and matrix degradation in human degenerative nucleus pulposus cells in vitro through the CXCR4/NF-κB pathway. Acta Pharmacol. Sin. 2018, 39, 912–922. [Google Scholar] [CrossRef]
- Liu, W.; Jin, S.; Huang, M.; Li, Y.; Wang, Z.W.; Wang, P.; Zhao, X.; Xia, P.; Feng, J. Duhuo jisheng decoction suppresses matrix degradation and apoptosis in human nucleus pulposus cells and ameliorates disc degeneration in a rat model. J. Ethnopharmacol. 2020, 250, 112494. [Google Scholar] [CrossRef]
- Kim, H.S.; Moon, B.C.; Choi, G.; Kim, W.J.; Lee, A.Y. Ultra-performance convergence chromatography for the quantitative determination of bioactive compounds in Aralia continentalis Kitagawa as quality control markers. J. Sep. Sci. 2017, 40, 2071–2079. [Google Scholar] [CrossRef]
- Ahn, M.J.; Lee, M.K.; Kim, Y.C.; Sung, S.H. The simultaneous determination of coumarins in Angelica gigas root by high performance liquid chromatography–diode array detector coupled with electrospray ionization/mass spectrometry. J. Pharm. Biomed. Anal. 2008, 46, 258–266. [Google Scholar] [CrossRef]
- Bae, J.Y.; Kim, C.Y.; Kim, H.J.; Park, J.H.; Ahn, M.J. Differences in chemical profiles and biological activities of Paeonia lactiflora and Paeonia obovata. J. Med. Food 2015, 18, 224–232. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Liu, R.; Su, B.; Huang, F.; Ru, M.; Zhang, H.; Qin, Z.; Li, Y.; Zhu, K. Identification and analysis of cardiac glycosides in Loranthaceae parasites Taxillus chinensis (DC.) Danser and Scurrula parasitica Linn. and their host Nerium indicum Mill. J. Pharm. Biomed. Anal. 2019, 174, 450–459. [Google Scholar] [CrossRef]
- Lee, J.Y.; Lee, E.J.; Kim, J.S.; Lee, J.H.; Kang, S.S. Phytochemical studies on Rehmanniae Radix Preparata. Kor. J. Pharmacogn. 2011, 42, 117–126. [Google Scholar]
- 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, S.M.; Luo, J.G.; Huang, F.; Kong, L.Y. Chemical characteristics combined with bioactivity for comprehensive evaluation of Panax ginseng C.A. Meyer in different ages and seasons based on HPLC-DAD and chemometric methods. J. Pharm. Biomed. Anal. 2014, 89, 76–82. [Google Scholar] [CrossRef]
- Li, G.; Xu, M.L.; Lee, J.S.; Woo, M.H.; Chang, H.W.; Son, J.K. Cytotoxicity and DNA topoisomerases inhibitory activity of constituents from the Sclerotium of Poria cocos. Arch. Pharm. Res. 2004, 27, 829–833. [Google Scholar] [CrossRef]
- Zhao, B.T.; Jeong, S.Y.; Moon, D.C.; Son, K.H.; Son, J.K.; Woo, M.H. High performance liquid chromatography used for quality control of Achyranthis Radix. Arch. Pharm. Res. 2012, 35, 1449–1455. [Google Scholar] [CrossRef]
- Zhao, B.T.; Jeong, S.Y.; Kim, T.I.; Seo, E.K.; Min, B.S.; Son, J.K.; Woo, M.H. Simultaneous quantitation and validation of method for the quality evaluation of Eucommiae Cortex by HPLC/UV. Arch. Pharm. Res. 2015, 38, 2183–2192. [Google Scholar] [CrossRef]
- Liu, F.F.; Wang, Y.M.; Zhu, H.T.; Wang, D.; Yang, C.R.; Xu, M.; Zhang, Y.J. Comparative study on “Long-Dan”, “Qin-Jiao” and their adulterants by HPLC analysis. Nat. Prod. Bioprospect. 2014, 4, 297–308. [Google Scholar] [CrossRef] [Green Version]
- Seo, C.S.; Shin, H.K. Quantitative analysis of the seven marker components in Asarum sieboldii using the LC-MS/MS and GC-MS. Kor. J. Pharmacogn. 2013, 44, 350–361. [Google Scholar]
- 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 coumarin 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]
- Lv, G.P.; Huang, W.H.; Yang, F.Q.; Li, J.; Li, S.P. Pressurized liquid extraction and GC-MS analysis for simultaneous determination of seven components in Cinnamomum cassia and the effect of sample preparation. J. Sep. Sci. 2010, 33, 2341–2348. [Google Scholar] [CrossRef] [PubMed]
- Zhou, S.; Cao, J.; Qiu, F.; Kong, W.; Yang, S.; Yang, M. Simultaneous determination of five bioactive components in Radix Glycyrrhizae by pressurised liquid extraction combined with UPLC-PDA and UPLC/ESI-QTOF-MS confirmation. Phytochem. Anal. 2013, 24, 527–533. [Google Scholar] [CrossRef] [PubMed]
- Lee, H.R.; Lee, J.H.; Park, C.S.; Ra, K.R.; Ha, J.S.; Cha, M.H.; Kim, S.N.; Choi, Y.; Hwang, J.; Nam, J.S. Physicochemical properties and antioxidant capacities of different parts of ginger (Zingiber officinale Roscoe). J. Korean Soc. Food Sci. Nutr. 2014, 43, 1369–1379. [Google Scholar] [CrossRef] [Green Version]
- Chen, Y.; Li, J.; Li, Q.; Wang, T.; Xing, L.; Xu, H.; Wang, Y.; Shi, Q.; Zhou, Q.; Liang, Q. Du-Huo-Ji-Sheng-Tang attenuates inflammation of TNF-Tg Mice related to promoting lymphatic drainage function. Evid.-Based Complement. Alternat. Med. 2016, 2016, 7067691. [Google Scholar] [CrossRef]
- Wang, J.Y.; Chen, W.M.; Wen, C.S.; Huang, S.C.; Chen, P.W.; Chiu, J.H. Du-Huo-Ji-Sheng-Tang and its active component ligusticum chuanxiong promote osteogenic differentiation and decrease the aging process of human mesenchymal stem cells. J. Ethnopharmacol. 2017, 198, 64–72. [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. 24–599. [Google Scholar]
- Seo, C.S.; Lee, M.Y. Simultaneous quantification of eight marker components in traditional herbal formula, Haepyoyijin-tang using HPLC-PDA. Appl. Sci. 2020, 10, 3888. [Google Scholar] [CrossRef]
- 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. [Google Scholar] [CrossRef]
Analyte | Quantification Wavelength (nm) | Linear Range (μg/mL) | Regression Equation a | r2 | LOD b (μg/mL) | LOQ c (μg/mL) |
---|---|---|---|---|---|---|
1 | 270 | 0.31–20.00 | y = 50,316.71x − 21.01 | 1.0000 | 0.013 | 0.040 |
2 | 280 | 0.31–20.00 | y = 95,555.03x + 935.74 | 1.0000 | 0.013 | 0.039 |
3 | 240 | 0.47–30.00 | y = 15,452.83x + 1286.82 | 1.0000 | 0.061 | 0.184 |
4 | 230 | 0.31–20.00 | y = 13,392.15x + 165.98 | 1.0000 | 0.012 | 0.037 |
5 | 325 | 0.31–20.00 | y = 34,622.74x + 153.82 | 1.0000 | 0.054 | 0.164 |
6 | 275 | 0.47–30.00 | y = 9752.57x + 486.57 | 1.0000 | 0.005 | 0.017 |
7 | 275 | 0.31–20.00 | y = 6007.63x + 176.53 | 1.0000 | 0.009 | 0.028 |
8 | 230 | 0.31–20.00 | y = 12,743.33x − 1091.63 | 0.9999 | 0.057 | 0.173 |
9 | 300 | 0.31–20.00 | y = 24,286.05x + 859.92 | 1.0000 | 0.025 | 0.074 |
10 | 230 | 0.31–20.00 | y = 15,281.10x − 925.73 | 1.0000 | 0.051 | 0.155 |
11 | 275 | 0.31–20.00 | y = 15,640.67x + 491.83 | 1.0000 | 0.005 | 0.015 |
12 | 275 | 0.31–20.00 | y = 28,890.59x + 763.74 | 1.0000 | 0.011 | 0.032 |
13 | 320 | 0.31–20.00 | y = 76,887.30x + 2445.47 | 1.0000 | 0.006 | 0.018 |
14 | 335 | 0.31–20.00 | y = 39,517.99x + 1130.43 | 1.0000 | 0.008 | 0.025 |
15 | 290 | 0.31–20.00 | y = 24,810.62x + 623.99 | 1.0000 | 0.031 | 0.095 |
16 | 230 | 0.31–20.00 | y = 66,259.50x + 1750.85 | 1.0000 | 0.004 | 0.012 |
17 | 275 | 0.31–20.00 | y = 65,542.40x + 1891.13 | 1.0000 | 0.005 | 0.014 |
18 | 275 | 0.31–20.00 | y = 108,376.64x + 3458.00 | 1.0000 | 0.013 | 0.039 |
19 | 290 | 0.31–20.00 | y = 158,240.87x + 3787.46 | 1.0000 | 0.005 | 0.016 |
20 | 250 | 0.31–20.00 | y = 8285.09x + 3641.95 | 1.0000 | 0.058 | 0.176 |
21 | 280 | 0.31–20.00 | y = 14,330.97x + 305.25 | 1.0000 | 0.006 | 0.019 |
22 | 290 | 0.31–20.00 | y = 22,822.38x + 385.08 | 1.0000 | 0.023 | 0.070 |
23 | 330 | 0.31–20.00 | y = 50,159.85x + 796.04 | 1.0000 | 0.016 | 0.049 |
24 | 330 | 0.31–20.00 | y = 33,400.18x + 668.55 | 1.0000 | 0.013 | 0.038 |
Analyte | Spiked Conc. (μg/mL) | Measured Conc. (μg/mL) | Recovery (%) a | SD | RSD (%) b |
---|---|---|---|---|---|
1 | 2.00 | 2.00 | 100.04 | 0.77 | 0.77 |
4.00 | 4.08 | 101.92 | 0.98 | 0.96 | |
8.00 | 7.94 | 99.19 | 1.12 | 1.13 | |
2 | 2.00 | 1.97 | 98.46 | 1.25 | 1.27 |
4.00 | 3.99 | 99.87 | 0.44 | 0.44 | |
8.00 | 7.78 | 97.27 | 0.51 | 0.52 | |
3 | 1.00 | 1.01 | 101.30 | 1.16 | 1.14 |
2.00 | 2.03 | 101.44 | 1.84 | 1.82 | |
4.00 | 4.07 | 101.82 | 1.55 | 1.52 | |
4 | 1.00 | 1.02 | 101.83 | 2.05 | 2.02 |
2.00 | 1.97 | 98.55 | 0.55 | 0.56 | |
4.00 | 4.02 | 100.41 | 0.92 | 0.92 | |
5 | 2.00 | 2.03 | 101.39 | 1.20 | 1.19 |
5.00 | 5.03 | 100.54 | 0.53 | 0.53 | |
10.00 | 9.96 | 99.59 | 0.93 | 0.93 | |
6 | 3.00 | 2.98 | 99.37 | 1.32 | 1.33 |
7.50 | 7.30 | 97.38 | 1.47 | 1.50 | |
15.00 | 14.48 | 96.52 | 2.34 | 2.43 | |
7 | 2.00 | 1.94 | 97.25 | 1.31 | 1.34 |
5.00 | 4.92 | 98.45 | 0.82 | 0.84 | |
10.00 | 10.08 | 100.78 | 1.49 | 1.47 | |
8 | 1.00 | 0.97 | 97.42 | 1.63 | 1.67 |
2.00 | 1.97 | 98.73 | 1.72 | 1.74 | |
4.00 | 3.86 | 96.49 | 1.16 | 1.20 | |
9 | 1.00 | 1.00 | 100.20 | 2.80 | 2.79 |
2.00 | 2.00 | 99.77 | 0.81 | 0.81 | |
4.00 | 4.05 | 101.34 | 0.96 | 0.95 | |
10 | 1.00 | 0.98 | 98.30 | 1.58 | 1.61 |
2.00 | 2.02 | 101.24 | 2.36 | 2.34 | |
4.00 | 3.99 | 99.78 | 0.80 | 0.80 | |
11 | 1.00 | 0.99 | 99.17 | 0.73 | 0.74 |
2.00 | 1.93 | 96.42 | 0.52 | 0.54 | |
4.00 | 4.03 | 100.75 | 1.24 | 1.23 | |
12 | 1.00 | 1.00 | 99.75 | 0.78 | 0.78 |
2.00 | 2.02 | 100.75 | 1.00 | 0.99 | |
4.00 | 4.05 | 101.22 | 0.88 | 0.87 | |
13 | 1.00 | 1.03 | 102.81 | 0.75 | 0.73 |
2.00 | 1.96 | 97.79 | 0.50 | 0.51 | |
4.00 | 3.90 | 97.55 | 0.84 | 0.86 | |
14 | 2.00 | 2.02 | 100.97 | 1.17 | 1.16 |
5.00 | 5.05 | 100.95 | 1.46 | 1.44 | |
10.00 | 10.15 | 101.53 | 0.82 | 0.81 | |
15 | 1.00 | 0.99 | 99.32 | 2.67 | 2.69 |
2.00 | 1.99 | 99.27 | 1.24 | 1.25 | |
4.00 | 4.01 | 100.20 | 1.05 | 1.05 | |
16 | 1.00 | 0.96 | 95.92 | 0.79 | 0.83 |
2.00 | 1.92 | 96.04 | 0.96 | 0.99 | |
4.00 | 3.86 | 96.57 | 1.31 | 1.35 | |
17 | 1.00 | 0.96 | 96.49 | 0.81 | 0.84 |
2.00 | 1.92 | 96.03 | 0.54 | 0.56 | |
4.00 | 3.98 | 99.43 | 0.36 | 0.36 | |
18 | 1.00 | 0.96 | 96.28 | 0.34 | 0.36 |
2.00 | 1.91 | 95.68 | 0.71 | 0.75 | |
4.00 | 3.84 | 95.90 | 0.24 | 0.25 | |
19 | 1.00 | 1.02 | 101.96 | 0.10 | 0.10 |
2.00 | 1.92 | 96.01 | 0.45 | 0.47 | |
4.00 | 3.90 | 97.55 | 0.46 | 0.47 | |
20 | 1.00 | 1.02 | 101.91 | 0.78 | 0.77 |
2.00 | 2.00 | 100.05 | 0.66 | 0.66 | |
4.00 | 4.01 | 100.35 | 1.47 | 1.47 | |
21 | 1.00 | 0.96 | 95.68 | 0.49 | 0.51 |
2.00 | 1.97 | 98.62 | 0.33 | 0.34 | |
4.00 | 3.95 | 98.70 | 0.25 | 0.26 | |
22 | 1.00 | 0.96 | 95.77 | 1.01 | 1.05 |
2.00 | 1.91 | 95.47 | 0.54 | 0.56 | |
4.00 | 3.87 | 96.83 | 0.41 | 0.42 | |
23 | 1.00 | 0.98 | 98.10 | 1.93 | 1.97 |
2.00 | 1.97 | 98.32 | 0.32 | 0.32 | |
4.00 | 4.09 | 102.16 | 0.22 | 0.21 | |
24 | 1.00 | 0.98 | 97.75 | 0.95 | 0.97 |
2.00 | 1.95 | 97.69 | 0.41 | 0.42 | |
4.00 | 4.02 | 100.52 | 0.29 | 0.29 |
Analyte | Conc. (μg/mL) | Intraday (n = 5) | Interday (n = 5) | ||||
---|---|---|---|---|---|---|---|
Measured Conc. (μg/mL) | Precision (RSD, %) a | Accuracy (%) | Measured Conc. (μg/mL) | Precision (RSD, %) | Accuracy (%) | ||
1 | 5.00 | 4.88 | 0.46 | 97.64 | 4.87 | 0.53 | 97.38 |
10.00 | 9.72 | 0.44 | 97.23 | 9.68 | 0.48 | 96.83 | |
20.00 | 19.50 | 0.19 | 97.51 | 19.49 | 0.32 | 97.44 | |
2 | 5.00 | 4.97 | 0.47 | 99.42 | 4.96 | 0.48 | 99.24 |
10.00 | 9.85 | 0.73 | 98.52 | 9.79 | 1.24 | 97.90 | |
20.00 | 19.79 | 0.39 | 98.93 | 19.65 | 0.57 | 98.27 | |
3 | 7.50 | 7.52 | 0.14 | 100.29 | 7.58 | 1.19 | 101.05 |
15.00 | 14.97 | 0.25 | 99.81 | 15.07 | 0.99 | 100.43 | |
30.00 | 29.96 | 0.79 | 99.88 | 30.04 | 0.80 | 100.14 | |
4 | 5.00 | 5.03 | 0.20 | 100.65 | 5.05 | 0.81 | 101.03 |
10.00 | 9.96 | 0.25 | 99.64 | 9.99 | 0.58 | 99.93 | |
20.00 | 19.83 | 0.18 | 99.17 | 19.98 | 0.84 | 99.92 | |
5 | 7.50 | 7.26 | 0.70 | 96.78 | 7.19 | 0.87 | 95.17 |
15.00 | 14.46 | 0.73 | 96.38 | 14.30 | 0.95 | 95.32 | |
30.00 | 29.01 | 0.53 | 96.71 | 28.80 | 0.62 | 96.00 | |
6 | 7.50 | 7.48 | 0.18 | 99.78 | 7.55 | 1.20 | 100.04 |
15.00 | 14.86 | 0.20 | 99.08 | 14.96 | 0.83 | 99.75 | |
30.00 | 29.63 | 0.19 | 98.78 | 29.88 | 0.90 | 99.61 | |
7 | 5.00 | 4.99 | 0.35 | 99.75 | 5.03 | 1.16 | 100.55 |
10.00 | 9.90 | 0.23 | 98.97 | 9.96 | 0.87 | 99.60 | |
20.00 | 19.75 | 0.10 | 98.76 | 19.89 | 0.77 | 99.45 | |
8 | 5.00 | 4.86 | 0.37 | 97.13 | 4.90 | 1.10 | 98.00 |
10.00 | 10.00 | 0.32 | 99.98 | 9.86 | 1.53 | 98.55 | |
20.00 | 19.71 | 0.40 | 98.56 | 19.89 | 0.93 | 99.43 | |
9 | 5.00 | 5.00 | 0.32 | 100.01 | 5.04 | 1.20 | 100.75 |
10.00 | 9.93 | 0.27 | 99.31 | 10.00 | 0.86 | 99.98 | |
20.00 | 19.80 | 0.22 | 99.01 | 19.95 | 0.84 | 99.77 | |
10 | 5.00 | 4.97 | 0.85 | 99.50 | 5.02 | 1.09 | 100.32 |
10.00 | 9.91 | 0.62 | 99.05 | 9.95 | 0.62 | 99.50 | |
20.00 | 19.83 | 0.63 | 99.13 | 19.95 | 1.02 | 99.73 | |
11 | 5.00 | 4.98 | 0.14 | 99.68 | 5.02 | 1.04 | 100.26 |
10.00 | 9.90 | 0.22 | 98.99 | 9.96 | 0.75 | 99.43 | |
20.00 | 19.74 | 0.22 | 98.69 | 19.95 | 0.84 | 99.38 | |
12 | 5.00 | 4.99 | 0.11 | 99.81 | 5.03 | 1.12 | 100.50 |
10.00 | 9.91 | 0.19 | 99.14 | 9.97 | 0.79 | 99.56 | |
20.00 | 19.76 | 0.17 | 98.80 | 19.92 | 0.86 | 99.43 | |
13 | 5.00 | 4.97 | 0.14 | 99.49 | 5.01 | 1.14 | 100.66 |
10.00 | 9.89 | 0.18 | 98.90 | 9.94 | 0.78 | 99.78 | |
20.00 | 19.73 | 0.20 | 98.64 | 19.88 | 0.84 | 99.57 | |
14 | 5.00 | 4.98 | 0.21 | 99.65 | 5.03 | 1.42 | 100.70 |
10.00 | 9.90 | 0.22 | 98.99 | 9.96 | 1.09 | 100.51 | |
20.00 | 19.74 | 0.15 | 98.68 | 19.89 | 0.55 | 100.93 | |
15 | 5.00 | 4.99 | 0.10 | 99.83 | 5.03 | 1.18 | 100.70 |
10.00 | 9.92 | 0.16 | 99.20 | 9.98 | 0.92 | 99.89 | |
20.00 | 19.76 | 0.20 | 98.78 | 19.91 | 1.00 | 99.63 | |
16 | 5.00 | 4.97 | 0.28 | 99.47 | 5.04 | 1.17 | 100.55 |
10.00 | 9.95 | 0.20 | 99.50 | 10.05 | 0.86 | 99.67 | |
20.00 | 20.13 | 0.33 | 100.66 | 20.19 | 0.92 | 99.54 | |
17 | 5.00 | 4.99 | 0.12 | 99.70 | 5.04 | 1.14 | 100.71 |
10.00 | 9.90 | 0.18 | 99.04 | 9.99 | 0.87 | 100.09 | |
20.00 | 19.74 | 0.21 | 98.72 | 19.93 | 0.96 | 99.79 | |
18 | 5.00 | 4.98 | 0.12 | 99.63 | 5.03 | 1.07 | 99.22 |
10.00 | 9.90 | 0.17 | 98.98 | 9.97 | 0.72 | 100.23 | |
20.00 | 19.74 | 0.18 | 98.72 | 19.91 | 0.56 | 99.86 | |
19 | 5.00 | 4.99 | 0.14 | 99.76 | 5.04 | 1.20 | 100.82 |
10.00 | 9.93 | 0.13 | 99.28 | 10.01 | 0.94 | 99.97 | |
20.00 | 19.79 | 0.22 | 98.94 | 19.96 | 0.97 | 99.74 | |
20 | 5.00 | 4.95 | 0.37 | 99.09 | 4.96 | 0.90 | 101.19 |
10.00 | 10.04 | 0.42 | 100.44 | 10.02 | 0.63 | 100.45 | |
20.00 | 19.89 | 0.24 | 99.47 | 19.97 | 0.72 | 100.29 | |
21 | 5.00 | 4.99 | 0.29 | 99.86 | 5.04 | 1.11 | 100.60 |
10.00 | 9.91 | 0.22 | 99.14 | 10.00 | 0.82 | 99.64 | |
20.00 | 19.78 | 0.27 | 98.90 | 19.95 | 0.89 | 99.44 | |
22 | 5.00 | 5.03 | 0.18 | 100.58 | 5.06 | 1.12 | 100.48 |
10.00 | 10.00 | 0.10 | 99.99 | 10.05 | 0.80 | 99.55 | |
20.00 | 19.94 | 0.23 | 99.72 | 20.06 | 0.87 | 99.42 | |
23 | 5.00 | 4.99 | 0.17 | 99.75 | 5.03 | 1.04 | 100.26 |
10.00 | 9.90 | 0.21 | 99.02 | 9.96 | 0.75 | 99.43 | |
20.00 | 19.73 | 0.18 | 98.66 | 19.89 | 0.84 | 99.38 | |
24 | 5.00 | 4.98 | 0.19 | 99.62 | 5.02 | 1.12 | 100.50 |
10.00 | 9.90 | 0.19 | 98.96 | 9.96 | 0.79 | 99.56 | |
20.00 | 19.73 | 0.17 | 98.64 | 19.88 | 0.86 | 99.43 |
Analyte | Content (mg/g Freeze-Dried Sample) | Source a | |||||
---|---|---|---|---|---|---|---|
Batch 1 | Batch 2 | Batch 3 | |||||
Mean | RSD (%) | Mean | RSD (%) | Mean | RSD (%, ×10−1) | ||
1 | 0.70 | 0.20 | 0.71 | 0.28 | 0.70 | 0.02 | PL, TC |
2 | 0.61 | 0.30 | 0.61 | 0.22 | 0.61 | 2.29 | RG |
3 | 2.91 | 0.40 | 2.99 | 0.25 | 2.96 | 3.61 | EU |
4 | 2.73 | 0.22 | 2.79 | 0.25 | 2.74 | 0.89 | GS |
5 | 0.94 | 1.22 | 0.95 | 0.91 | 0.95 | 6.23 | EU |
6 | 14.29 | 0.19 | 14.68 | 0.84 | 14.48 | 7.08 | GS |
7 | 9.81 | 0.26 | 9.69 | 0.44 | 9.70 | 5.92 | EU |
8 | 3.13 | 0.28 | 3.28 | 1.16 | 3.28 | 24.73 | PL |
9 | 0.30 | 1.00 | 0.30 | 0.22 | 0.30 | 5.05 | SD |
10 | 4.68 | 0.30 | 4.77 | 0.28 | 4.72 | 2.19 | PL |
11 | 1.25 | 0.51 | 1.27 | 0.22 | 1.25 | 5.23 | GU |
12 | 0.24 | 1.26 | 0.23 | 0.99 | 0.23 | 5.14 | GU |
13 | 0.23 | 0.98 | 0.23 | 0.09 | 0.23 | 1.75 | CO |
14 | 0.90 | 0.23 | 0.90 | 0.29 | 0.90 | 3.48 | AG |
15 | 0.26 | 0.31 | 0.26 | 0.91 | 0.26 | 1.66 | SD |
16 | 0.52 | 0.47 | 0.52 | 0.28 | 0.52 | 0.91 | PL |
17 | 0.39 | 0.57 | 0.39 | 0.50 | 0.39 | 0.74 | CC |
18 | 0.60 | 0.40 | 0.60 | 0.31 | 0.60 | 1.80 | CC |
19 | 1.36 | 0.50 | 1.38 | 0.48 | 1.36 | 4.64 | CC |
20 | 2.25 | 0.44 | 2.28 | 1.27 | 2.26 | 7.34 | GU |
21 | 1.38 | 0.30 | 1.39 | 0.82 | 1.39 | 5.41 | AH |
22 | 0.50 | 1.16 | 0.50 | 0.63 | 0.50 | 9.28 | AH |
23 | 0.25 | 0.20 | 0.25 | 0.01 | 0.25 | 3.45 | AG |
24 | 0.24 | 0.23 | 0.25 | 0.11 | 0.24 | 1.48 | AG |
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Seo, C.-S.; Shin, H.-K. Development and Validation of a High-Performance Liquid Chromatography Method for Quality Assessment of Oriental Medicine, Dokhwalgisaeng-Tang. Appl. Sci. 2021, 11, 7829. https://doi.org/10.3390/app11177829
Seo C-S, Shin H-K. Development and Validation of a High-Performance Liquid Chromatography Method for Quality Assessment of Oriental Medicine, Dokhwalgisaeng-Tang. Applied Sciences. 2021; 11(17):7829. https://doi.org/10.3390/app11177829
Chicago/Turabian StyleSeo, Chang-Seob, and Hyeun-Kyoo Shin. 2021. "Development and Validation of a High-Performance Liquid Chromatography Method for Quality Assessment of Oriental Medicine, Dokhwalgisaeng-Tang" Applied Sciences 11, no. 17: 7829. https://doi.org/10.3390/app11177829
APA StyleSeo, C.-S., & Shin, H.-K. (2021). Development and Validation of a High-Performance Liquid Chromatography Method for Quality Assessment of Oriental Medicine, Dokhwalgisaeng-Tang. Applied Sciences, 11(17), 7829. https://doi.org/10.3390/app11177829