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HPLC fingerprint combined with chemical pattern recognition to evaluate the differences between decoction and formula granules of Niaodukang

Published on Nov. 17, 2023Total Views: 667 times Total Downloads: 277 times Download Mobile

Author: Qing-Hong HU 1 Xiao-Jie LI 1 Yuan XU 2 Jie DING 3 Ming-Lan ZHAO 1 Hua LIN 4 Jun-Biao WU 4

Affiliation: 1. The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou 510006, China 2. Department of Nephrology, the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou 510120, China 3. Department of Research, the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou 510120, China 4. Department of Pharmacy, the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou 510120, China

Keywords: Niaodukang Decoction Formula granule HPLC Characteristic chromatograms Similarity evaluation Chemical pattern recognition

DOI: 10.12173/j.issn.1008-049X.202302173

Reference: Qing-Hong HU, Xiao-Jie LI, Yuan XU, Jie DING, Ming-Lan ZHAO, Hua LIN,Jun-Biao WU.HPLC fingerprint combined with chemical pattern recognition to evaluate the differences between decoction and formula granules of Niaodukang[J].Zhongguo Yaoshi Zazhi,2023, 26(10):12-21.DOI: 10.12173/j.issn.1008-049X.202302173.[Article in Chinese]

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Abstract

Objective  To establish an HPLC fingerprint of Niaodukang, compare the differences between Chinese herbal decoction and formula granules (FG) with chemical pattern recognition, and provide a theoretical basis for the equivalence study.

Methods  The analysis was performed on Thermo 5005-254630 C18 (250 mm × 4.6 mm, 5 μm) column with acetonitrile-0.1% phosphoric acid solution for gradient elution at the flow rate of 0.8 mL·min-1, the detection wavelength was 254 nm, the column temperature was 22℃, and the injection volume was 20 μL. The HPLC fingerprints of 9 batches of Niaodukang were established, then the similarity of chromatograms was investigated by the Chinese medicine chromatographic fingerprint similarity evaluation system, combined hierarchical cluster analysis (HCA), principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA), and the variable importance projection value (VIP) >1 was used as a standard to comprehensively evaluate the  difference among the traditional decoction(TD), formula granule mixed (FGm), and formula granule decocted (FGd) of Niaodukang.

Results  HPLC fingerprints of 9 batches of Niaodukang were established with similarity between 0.754-0.993. 21 common peaks were calibrated, and 8 chromatographic peaks were identified. The samples were classified into two clusters by HCA, PCA and OPLS-DA, and seven markers that caused the difference among batches were screened, which were peak 3, peak 1, peak 5 (calycosin-7-O-β-D-glucopyranoside), peak 7 (nvzhenoside), peak 16 (aloe emodin), peak 13 (cinnamaldehyde) and peak 2.

Conclusion  There are differences in chemical composition between Niaodukang decoction and formula granules. FGm and FGd had good similarity, Meanwhile, screening out the difference components could provide a basis for process optimization and quality evaluation.

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References

1.林梦楠. 中药汤剂和中药颗粒制剂的现代应用对比探究 [J]. 中国社区医师, 2019, 35(34): 100-101. [Li MN. Comparative study on modern application of traditional Chinese medicine decoction and traditional Chinese medicine granule[J]. Chinese Community Doctors, 2019, 35(34): 100-101.] DOI: 10.3969/j.issn.1007-614x.2019.34.053.

2.陈坤全, 陈益强. 中药饮片颗粒剂与中药汤剂的比较 [J]. 河北医药, 2003, 25(10): 775. [Chen KQ, Chen YQ. Comparison of Chinese traditional medicine granule and decoction[J]. Hebei Medical Journal, 2003, 25(10): 775.] DOI: 10.3969/j.issn.1002-7386.2003.10.043.

3.付敏, 宋雅琳, 孙增涛. 中药汤剂和中药颗粒制剂的现代应用对比研究 [J]. 中国中医药现代远程教育, 2017, 15(18): 152-154. [Fu M, Song YL, Sun ZT. Comparative study on modern application of traditional chinese medicine decoction and traditional Chinese medicine granule preparation[J]. Chinese Medicine Modern Distance Education of China, 2017, 15(18): 152-154.] DOI: 10.3969/j.issn.1672-2779.2017.18.066.

4.蒲娟, 周晓梅. 中药配方颗粒的发展现状及思考 [J]. 中国社区医师, 2019, 35(24): 6, 9. [Pu J, Zhou XM. Current situation and thinking of the development of traditional Chinese medicine formula granules[J]. Chinese Community Doctors, 2019, 35(24): 6, 9.] DOI: 10.3969/j.issn.1007-614x.2019.24.002.

5.郭明星, 吴诚, 童卫杭. 中药配方颗粒和中药汤剂等效性研究进展 [J]. 中国现代中药, 2016, 18(9): 1107-1110. [Guo MX, Wu C, Tong WH. Research progress on the equivalence of traditional Chinese medicine formula granules and traditional Chinese medicine decoction[J]. Modern Chinese Medicine, 2016, 18(9): 1107-1110.] DOI: 10.13313/j.issn.1673-4890.2016.9.005.

6.朱明刚, 陈关键, 杨金兵, 等. 中药免煎颗粒与传统中药的对比研究概述 [J]. 光明中医, 2013, 28(8): 1728-1729. [Zhu MG, Chen GJ, Yang JB, et al. Summary of comparative study between traditional Chinese medicine and traditional Chinese medicine[J]. Guangming Journal of Chinese Medicine, 2013, 28(8): 1728-1729.] DOI: 10.3969/j.issn.1003-8914.2013.08.114.

7.Shang E, Zhu Z, Liu L, et al. UPLC-QTOF-MS with chemical profiling approach for rapidly evaluating chemical consistency between traditional and dispensing granule decoctions of Tao-Hong-Si-Wu decoction[J]. Chem Cent J, 2012, 6(1): 143. DOI: 10.1186/1752-153x-6-143.

8.Ma C, Qian Y, Fan X, et al. Using UPLC-QTOF-MS to analyze the chemical changes between traditional and dispensing granule decoctions of San-Ao-Tang[J]. J Chromatogr Sci, 2014, 52(4): 277-292. DOI: 10.1093/chromsci/bmt026.

9.刘东方, 赵丽娜, 李银峰, 等. 中药指纹图谱技术的研究进展及应用 [J]. 中草药, 2016, 47(22): 4085-4094. [Liu DF, Zhao LN, Li YF, et al. Research progress and application in fingerprint technology on Chinese materia medica[J]. Chinese Traditional and Herbal Drugs, 2016, 47(22): 4085-4094.] DOI: 10.7501/j.issn.0253-2670.2016.22.026.

10.徐妍, 杨华蕊, 杨永寿, 等. 中药指纹图谱研究现状及展望 [J]. 世界最新医学信息文摘, 2018, 18(76): 91-94. [Xu Y, Yang HR, Yang YS, et al. Research and Prospect of fingerprint of Traditional Chinese Medicine[J]. World Latest Medicine Information, 2018, 18(76): 91-94.] DOI: 10.19613/j.cnki.1671-3141.2018.76.040.

11.张慧, 陈燕, 汪佳楠, 等.指纹技术在中药配方颗粒质量评价及工艺控制中的应用 [J] .中国中药杂志, 2018, 43(19): 3822-3827. [Zhang H, Chen Y, Wang JN, et al. Application of fingerprint technology in quality evaluation and process control of traditional Chinese medicine formula granules[J]. China Journal of Chinese Materia Medica, 2018, 43(19): 3822-3827.] DOI: 10.19540/j.cnki.cjcmm.20180703.008.

12.孙立丽, 王萌, 任晓亮. 化学模式识别方法在中药质量控制研究中的应用进展 [J]. 中草药, 2017, 48(20): 4339-4345. [Sun LL, Wang M, Ren XL. Application progress on chemical pattern recognition in quality control of Chinese meteria medica[J]. Chinese Traditional and Herbal Drugs, 2017, 48(20): 4339-4345.] DOI: 10.7501/j.issn.0253-2670.2017.20.031

13.于洋, 李军, 李宝国. 化学计量学在中药质量控制研究中的应用 [J]. 中成药, 2018, 40(5): 1139-1142. [Yu Y, Li J, Li BG. Application of chemometrics in quality control of traditional Chinese medicine[J]. Chinese Traditional Patent Medicine, 2018, 40(5): 1139-1142.] DOI: 10.3969/j.issn.1001-1528.2018.05.028.

14.胡婧文, 赵颖. 聚类分析和主成分分析法对半枝莲指纹图谱的研究 [J]. 中国医药科学, 2022, 12(7): 61-65.[Hu JW, Zhao Y. Study on fingerprint spectra of scutellaria barbata by clustering analysis and principal component analysis[J]. China Medicine and Pharmacy, 2022, 12(7): 61-65.] DOI: 10.3969/j.issn.2095-0616.2022.07.015.

15.周广峰, 刘欣. 主成分分析法在水环境质量评价中的应用进展 [J]. 环境科学导刊, 2011, 30(1): 75-78. [Zhou GF, Liu X. Application progress of principal component analysis method in water environmental quality assessment[J]. Environmental Science Survey, 2011, 30(1): 75-78.] DOI: 10.3969/j.issn.1673-9655.2011.01.021.

16.许有诚, 赵庄, 卢日刚, 等. 主成分分析在中药质量分析及质量评价中的应用进展 [J]. 大众科技, 2021, 23(8): 37-41. [Xu YC, Zhao Z, Lu RG, et al. Principal component analysis in traditional Chinese medicine quality analysis and quality Evaluation[J]. Popular Science & Technology, 2021, 23(8): 37-41.] DOI: 10.3969/j.issn.1008-1151.2021.08.011.

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