基于多糖组成和含量的3种基原黄精质量比较和识别研究
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摘要
目的通过定性与定量分析,结合化学计量学方法,比较黄精3种基原植物中多糖的组成和含量差异,为黄精药材质量评价提供参考。方法采用红外光谱法(FTIR)和柱前衍生化-HPLC(PMP-HPLC)法比较3种基原黄精中多糖的差异;采用紫外光谱法(UV)测定总多糖含量。结果 3种基原黄精多糖的IR平均光谱和二阶导数图谱差异明显,主成分分析(PCA)、偏最小二乘法判别分析(PLS-DA)及聚类分析(HCA)分析均可将3种基原的黄精加以区分;PMP-HPLC图谱显示3种基原黄精中多糖的单糖组成存在差异,共有成分为D-甘露糖、D-核糖、L-鼠李糖、D-半乳糖醛酸、D-葡萄糖醛酸、D-半乳糖、D-葡萄糖、D-木糖、D-阿拉伯糖和L-岩藻糖;结果表明,所测样品多糖含量符合《中国药典》2015年版的要求。结论本研究所建立方法为黄精类药材的多糖组成研究和质量评价提供了新的参考。
Objective To compare the composition and content of polysaccharides in Polygonati Rhizoma by qualitative and quantitative analysis combined with chemometrics, and provide the reference for the quality evaluation of Polygonati Rhizoma. Methods Fourier transform infrared spectroscopy(FTIR) and pre-column derivatization-HPLC(PMP-HPLC) were employed to reveal the differences of polysaccharide among the three species, and the content of total polysaccharide was determined by ultraviolet spectroscopy(UV). Results The result indicated that the average spectra and the second derivative atlas in FTIR fingerprint of Polygonati Rhizoma was significantly different. The PCA, PLS-DA and HCA analysis provided a further refinement of the method to distinguish three species. Furthermore, the PMP-HPLC showed that the components of monosaccharide and polysaccharides of three species were different. The main common components of the 10 common peaks were identified, which were as follows: D-mannose, D-ribose, L-rhamnose, D-galacturonic acid,D-glucuronic acid, D-galactose, D-glucose, D-xylose, D-arabinose and L-fucose. The content of the total polysaccharide meeted the requirements of Chinese pharmacopoeia 2015 edition Conclusion The study provided a new reference for quality evaluation of P. Rhizoma.
Objective To compare the composition and content of polysaccharides in Polygonati Rhizoma by qualitative and quantitative analysis combined with chemometrics, and provide the reference for the quality evaluation of Polygonati Rhizoma. Methods Fourier transform infrared spectroscopy(FTIR) and pre-column derivatization-HPLC(PMP-HPLC) were employed to reveal the differences of polysaccharide among the three species, and the content of total polysaccharide was determined by ultraviolet spectroscopy(UV). Results The result indicated that the average spectra and the second derivative atlas in FTIR fingerprint of Polygonati Rhizoma was significantly different. The PCA, PLS-DA and HCA analysis provided a further refinement of the method to distinguish three species. Furthermore, the PMP-HPLC showed that the components of monosaccharide and polysaccharides of three species were different. The main common components of the 10 common peaks were identified, which were as follows: D-mannose, D-ribose, L-rhamnose, D-galacturonic acid,D-glucuronic acid, D-galactose, D-glucose, D-xylose, D-arabinose and L-fucose. The content of the total polysaccharide meeted the requirements of Chinese pharmacopoeia 2015 edition Conclusion The study provided a new reference for quality evaluation of P. Rhizoma.
引文
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[15]张丹,王媚,史亚军,等.黄精药材及其饮片的红外光谱研究[J].陕西中医,2016,37(12):1679-1681.
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[18]王坤,岳永德,汤锋,等.多花黄精多糖的分级提取及结构初步分析[J].天然产物研究与开发,2014,26(3):364-369.
[19]张晓红,博·格日勒图,昭日格图,等.高效液相色谱法对黄精多糖相对分子质量及组成的测定[J].色谱,2005,23(4):394-396.
[20]秦垂新,曹子丰,黄绮敏,等.黄精多糖水解物柱前衍生HPLC指纹图谱[J].中国实验方剂学杂志,2015,21(11):65-68.
[21]王彩步,段宝忠.云南不同种植基地滇黄精中多糖含量测定分析[J].大理大学学报,2018,3(2):14-17.
[22]Hashim D M,Man Y B C,Norakasha R,et al.Potential use of Fourier transform infrared spectroscopy for differentiation of bovine and porcine gelatins[J].Food Chem,2010,118(3):856-860.
[23]Chen J B,Sun S Q,Ma F,et al.Vibrational microspectroscopic identification of powdered traditional medicines:Chemical micromorphology of Poria observed by infrared and Raman microspectroscopy[J].Spectrochim Acta A,2014,128(7):629-637.
[24]吴喆,张霁,金航,等.红外光谱结合化学计量学对不同采收期滇重楼的定性定量分析[J].光谱学与光谱分析,2017,37(6):1754-1758.
[25]Abdi H W L J.Principal component analysis[J].Comp Stat,2010,4(2):433-459.
[26]Bassbasi M,Luca M D,Ioele G,et al.Prediction of the geographical origin of butters by partial least square discriminant analysis(PLS-DA)applied to infrared spectroscopy(FTIR)data[J].J Food Compos Anal,2014,33(2):210-215.
[2]段宝忠,张晓灿,杜泽飞,等.滇黄精资源现状及可持续利用探讨[J].大理学院学报,2017,2(10):10-14.
[3]中国药典[S].一部.2015.
[4]Yan H,Lu J,Wang Y,et al.Intake of total saponins and polysaccharides from Polygonatum kingianum affects the gut microbiota in diabetic rats[J].Phytomedicine,2017,26:45-54.
[5]徐锦龙,马卫成,张明,等.黄精成方治疗早期糖尿病肾病的荟萃分析[J].中国现代应用药学,2018,35(4):561-565.
[6]徐锦龙,陈武,段宝忠.黄精中药制剂治疗II型糖尿病的Meta分析[J].中华中医药学刊,2017,35(7):1698-1701.
[7]王艳芳.滇黄精多糖改善大鼠脂代谢紊乱的作用研究[D].昆明:云南中医学院,2017.
[8]石娟,赵煜,雷杨,等.黄精粗多糖抗疲劳抗氧化作用的研究[J].时珍国医国药,2011,22(6):1409-1410.
[9]Long T,Liu Z,Shang J,et al.Polygonatum sibiricum polysaccharides play anti-cancer effect through TLR4-MAPK/NF-κB signaling pathways[J].Int J Biol Macromol,2018,111:813-821.
[10]陶爱恩,张晓灿,杜泽飞,等.黄精属植物中黄酮类化合物及其药理活性研究进展[J].中草药,2018,49(9):2163-2171.
[11]杨兴鑫,胡海波,王鑫.基于多元统计分析的3种法定基源黄精化学成分比较研究[J].中国中医药信息杂志,2018,25(5):71-76.
[12]余亚鸣,马晓勇,张铁军,等.基于高效液相色谱-质谱联用技术的黄精化学成分快速鉴别研究[J].时珍国医国药,2016,27(4):794-796.
[13]赵欣.黄精HPLC指纹图谱的研究及其不同产地的质量评价[D].杨凌:西北农林科技大学,2011.
[14]周晔,李佩孚,张庆伟,等.傅里叶红外光谱法鉴别部分黄精属生药的研究[J].光谱学与光谱分析,2013,33(7):1791-1795.
[15]张丹,王媚,史亚军,等.黄精药材及其饮片的红外光谱研究[J].陕西中医,2016,37(12):1679-1681.
[16]刘江,徐元江,吉哈利,等.藏产卷叶黄精和轮叶黄精的红外光谱鉴别[J].高原农业,2018,2(4):342-346.
[17]王海洋,高阳,高其品,等.黄精多糖的柱前衍生化HPLC指纹图谱研究[J].湖北农业科学,2016,55(13):3462-3464.
[18]王坤,岳永德,汤锋,等.多花黄精多糖的分级提取及结构初步分析[J].天然产物研究与开发,2014,26(3):364-369.
[19]张晓红,博·格日勒图,昭日格图,等.高效液相色谱法对黄精多糖相对分子质量及组成的测定[J].色谱,2005,23(4):394-396.
[20]秦垂新,曹子丰,黄绮敏,等.黄精多糖水解物柱前衍生HPLC指纹图谱[J].中国实验方剂学杂志,2015,21(11):65-68.
[21]王彩步,段宝忠.云南不同种植基地滇黄精中多糖含量测定分析[J].大理大学学报,2018,3(2):14-17.
[22]Hashim D M,Man Y B C,Norakasha R,et al.Potential use of Fourier transform infrared spectroscopy for differentiation of bovine and porcine gelatins[J].Food Chem,2010,118(3):856-860.
[23]Chen J B,Sun S Q,Ma F,et al.Vibrational microspectroscopic identification of powdered traditional medicines:Chemical micromorphology of Poria observed by infrared and Raman microspectroscopy[J].Spectrochim Acta A,2014,128(7):629-637.
[24]吴喆,张霁,金航,等.红外光谱结合化学计量学对不同采收期滇重楼的定性定量分析[J].光谱学与光谱分析,2017,37(6):1754-1758.
[25]Abdi H W L J.Principal component analysis[J].Comp Stat,2010,4(2):433-459.
[26]Bassbasi M,Luca M D,Ioele G,et al.Prediction of the geographical origin of butters by partial least square discriminant analysis(PLS-DA)applied to infrared spectroscopy(FTIR)data[J].J Food Compos Anal,2014,33(2):210-215.