Objective: To establish a method for the UPLC fingerprint and content determination of Rubus phoenicolasius Ramulus, and combine with chemical pattern recognition analysis to provide basis for its quality evaluation. Methods:Phenomenex Titank C18 (100 mm×2.1 mm, 1.8 μm) chromatographic column was used, the mobile phase was acetonitrile-0.1% phosphoric acid with gradient elution at the flow rate of 0.4 mL·min-1, the detection wavelength was 254 nm, the column temperature was 40 ℃, and the injection volume was 3 μL. UPLC fingerprints of Rubus phoenicolasius Ramulus was established, and the contents of caffeic acid, ellagic acid and isoquercitrin were determined at the same time. Based on the results of the common peak areas of the fingerprint, the quality of Rubus phoenicolasius Ramulus was evaluated by using two dimensional clustering analysis, principal component analysis, orthogonal partial least squares discriminant analysis, statistical analysis and pattern recognition. Results: The fingerprints identified 16 common peaks. Three compounds had good linearity within their ranges of mass concentration (r≥0.999 5). The contents of caffeic acid, ellagic acid and isoquercitrin were 0.014%-0.118%, 0.013%-0.120% and 0.012%-0.374% in 19 sample batches of Rubus phoenicolasius Ramulus. 33 batches of Rubus were divided into 4 categories, which could distinguish different rubus herbs. Principal component analysis showed four main factors affecting the classification of Rubus. Orthogonal partial least squares discriminant analysis showed that the compound of chromatographic peak No.13, ellagic acid, caffeic acid, isoquercitrin, compound of chromatographic peak No.5 and compound of chromatographic peak No.15 could be used as the main markers of difference between Rubus phoenicolasius Ramulus and other Rubus. Statistical analysis showed that the difference of caffeic acid and isoquercetin content was the important difference between Rubus phoenicolasius Ramulus and Rubus biflorus Ramulus. The model established in the pattern recognition study could accurately identify Rubus phoenicolasius Ramulus, and the prediction result was satisfactory. Conclusion:The method is stable and reliable, which can be used for the quality control of Rubus phoenicolasius Ramulus.
QIAO Ya-ling, LIU Ya-rong, ZHANG Chun-ping, ZHANG Jin-kui, SONG Xia, LIN Peng-cheng
. Quality evaluation of Tibetan medicine Rubus phoenicolasius Ramulus based on UPLC fingerprint, content determination and chemical pattern recognition analysis*[J]. Chinese Journal of Pharmaceutical Analysis, 2023
, 43(1)
: 85
-95
.
DOI: 10.16155/j.0254-1793.2023.01.11
[1] 中国科学院西北高原生物研究所. 青海植物志[M].西宁: 青海人民出版社, 1999: 101
Northwest Institute of Plateau Biology. Flora of Qinghai[M]. Xining: People's Publishing House of Qinghai, 1999: 101
[2] 中国科学院中国植物志编辑委员会. 中国植物志. 第37卷[M].北京: 科学出版社, 1985: 66
Editorial Committee of Chinese Flora. Flora of China. Vol 37[M].Beijing: Science Press, 1985: 66
[3] 青海省藏药标准[S].1992: 25
Qinghai Province Tibetan Drug Standards[S].1992: 25
[4] 帝玛尔·丹增彭措. 晶珠本草[M].上海: 上海科学技术出版社, 1986: 306
DEMAR DENTSEN PHENTHOK. Jingzhu Materia Medica[M].Shanghai: Shanghai Scientific and Technical Publishers, 1986: 306
[5] 宇妥·云丹贡布. 四部医典[M].上海: 上海科学技术出版社, 1987: 215
YUTOK YONDEN GONPO. The Four Medical Tantras[M].Shanghai: Shanghai Scientific and Technical Publishers 1987: 215
[6] 周思敏, 刘斌. 中药指纹图谱相似度软件在“药物分析”教学中的应用[J].林区教学, 2020(1):23
ZHOU SM, LIU B. Application of similarity software of traditional Chinese medicine fingerprint in teaching of “drug analysis”[J].Teach Forest Region, 2020(1):23
[7] YI T, GU XH, LI WD, et al. Techniques for biological fingerprinting of traditional Chinese medicine[J].Trends Anal Chem, 2017, 97: 272
[8] 常鑫鑫, 李倩, 薛紫鲸, 等. 知母栽培品和野生品的指纹图谱建立及差异性成分确认[J].中国药房, 2022, 33(2):146
CHANG XX, LI Q, XUE ZJ, et al. Establishment of fingerprints and differential component identification of cultivated and wild Anemarrhena asphodeloides[J].China Pharm, 2022, 33(2):146
[9] 周谧, 徐丹洋, 孙成静, 等. 干蟾皮及其炮制品的指纹图谱建立与化学模式识别[J].药物分析杂志, 2022, 42(5):875
ZHOU M, XU DY, SUN CJ, et al. Establishment of fingerprint and identification of chemical pattern of Bufonis Corium and processed products[J].Chin J Pharm Anal, 2022, 42(5):875
[10] 邢秀, 李琼, 张晶, 等. 多波长串联指纹图谱结合紫外全指纹溶出度测定评价复方两面针含片质量[J].药物分析杂志, 2020, 40(10):1887
XING X, LI Q, ZHANG J, et al. Evaluation of compound Liangmianzhen tablets quality by multi-wavelength series fingerprint combined with UV overall components dissolution method[J].Chin J Pharm Anal, 2020, 40(10):1887
[11] LI X, ZHANG F, SHI YN, et al. Assessing the quality consistency of Rong'e Yishen oral liquid by five wavelength maximization profilings and electrochemical fingerprints combined with antioxidant activity analyses[J].Anal Chim Acta, 2022, 1192: 339348
[12] HAN J, XU K, YAN QX, et al. Qualitative and quantitative evaluation of Flos Puerariae by using chemical fingerprint in combination with chemometrics method[J].J Pharm Anal, 2021, 12: 489
[13] 翟瑶, 钟文, 林鹏程. UV法和HPLC法测定藏药多腺悬钩子中总黄酮及芦丁的含量[J].湖北农业科学, 2013, 52(9):2145
ZHAI Y, ZHONG W, LIN PC. Determination of total flavonids and rutin contents of Rubus phoenicolasius by UV and HPLC[J].Hubei Agric Sci, 2013, 52(9):2145
[14] 骆桂法, 刘超, 纪兰菊. 多腺悬钩子黄酮类化学成分研究[J].西北药学杂志, 2014, 29(1):5
LUO GF, LIU C, JI LJ. Study on the flavonoid constituents of Rubus phoenicolasius Maxim.[J].Northwest Pharm J, 2014, 29(1):5
[15] 汪涛, 徐云霞, 李伟莉, 等. 聚类分析在中药方剂研究中的应用[J].中医药临床杂志, 2017, 29(12):2035
WANG T, XU YX, LI WL, et al. Application of cluster analysis in the study of traditional Chinese medicine formulae[J].Clin J Tradit Chin Med, 2017, 29(12):2035
[16] 聂韡, 朱培林, 房海灵, 等. HPLC指纹图谱结合化学计量学评价不同产地广东紫珠药材的质量[J].中草药, 2017, 48(1):185
NIE W, ZHU PL, FANG HL, et al. Quality evaluation of Callicarpa kwangtungensis from different origins by HPLC coupled with chemometrics[J].Chin Tradit Herb Drugs, 2017, 48(1):185
[17] 陈燕, 詹羽姣, 李晨阳, 等. 异槲皮苷的生物活性研究进展[J].中国现代中药, 2018, 20(12):1579
CHEN Y, ZHAN YJ, LI CY, et al. Research progress in biological activity of isoquercitrin[J].Mod Chin Med, 2018, 20(12):1579
[18] 何宇鸿, 梁敏桐, 刘璐群, 等. 鞣花酸药理作用综述[J].化学工程与装备, 2012(3):217
HE YH, LIANG MT, LIU LQ, et al. Review of the pharmacological effects of ellagic acid[J].Chem Eng Equip, 2012(3):217
[19] 包伊凡, 沈新春, 汪芳. 咖啡酸及其主要衍生物的研究进展及开发前景[J].天然产物研究与开发, 2018, 30(10):1825
BAO YF, CHEN XC, WANG F. The research progress and development prospects of biosynthesis,structure activity relationship and biological activity of caffeic acid and its main types of derivatives[J].Nat Prod Res Dev, 2018, 30(10):1825
[20] 张雯, 孙雅丽, 王琳, 等. 咖啡酸及其衍生物药理作用研究进展[J].动物医学进展, 2021, 42(8):103
ZHANG W, SUN YL, WANG L, et al. The research progress of biological activity of caffeic acid and its derivatives[J].Prog Vet Med, 2021, 42(8):103
