目的:建立栀子HPLC数字化指纹图谱并进行统一化研究。方法:采用反相高效液相色谱法,使用Century SIL C18 BDS柱(20cm×4.6mm,5μm),以1%醋酸水-1%醋酸乙腈为流动相,低压线性梯度洗脱,检测波长265nm,柱温(30.0±0.15)℃,进样量5...目的:建立栀子HPLC数字化指纹图谱并进行统一化研究。方法:采用反相高效液相色谱法,使用Century SIL C18 BDS柱(20cm×4.6mm,5μm),以1%醋酸水-1%醋酸乙腈为流动相,低压线性梯度洗脱,检测波长265nm,柱温(30.0±0.15)℃,进样量5μL,测定10批不同产地栀子HPLC指纹图谱。以色谱指纹图谱指数F和色谱指纹图谱信息量指数I等指标定性、定量评价不同产地栀子药材质量。用方向余弦阐明大峰对相似度的影响,建立了比率定性相似度的消除方法。结果:以栀子苷峰为参照物峰,确定35个共有峰,建立了栀子HPLC数字化指纹图谱和统一化指纹图谱。结论:所建立的指纹图谱具有较好的精密度和重现性,可作为栀子药材质量控制和真伪鉴别的依据。展开更多
目的:建立注射用苦碟子HPLC数字化指纹图谱,为注射用苦碟子质量控制提供依据。方法:采用反相HPLC法分析注射用苦碟子水溶液,以Century SIL BDS柱(250mm×4.6mm,5μm),流动相为1%醋酸水-1%醋酸乙腈低压梯度洗脱,检测波长265nm,柱温(3...目的:建立注射用苦碟子HPLC数字化指纹图谱,为注射用苦碟子质量控制提供依据。方法:采用反相HPLC法分析注射用苦碟子水溶液,以Century SIL BDS柱(250mm×4.6mm,5μm),流动相为1%醋酸水-1%醋酸乙腈低压梯度洗脱,检测波长265nm,柱温(30±0.15)℃,进样量20μL。用"中药色谱指纹图谱超信息特征数字化评价系统3.0"软件计算不同批次的注射用苦碟子HPLC指纹图谱的色谱指纹图谱指数F和色谱指纹图分离量指数RF等42个参数进行潜信息特征数字化评价。以双参照物体系结合定量结构-性质相关(QSPR)原理标定指纹峰的表观分子量、峰位、洗脱动量数δ、折合相对积分φ。结果:以咖啡酸峰为参照物峰,确定21个共有峰,建立了注射用苦碟子HPLC数字化指纹图谱,获得了判别注射用苦碟子质量的重要数字化信息。以双定性双定量相似度法评价注射用苦碟子批间质量稳定。结论:所建立HPLC数字化指纹图谱具有较好的精密度和重现性,适用于注射用苦碟子的质量控制。数字化指纹图谱是数字中药的核心技术,双定性双定量相似度法是宏观定性定量评价中药质量的最准确和最佳技术。展开更多
目的:建立黄芩HPLC数字化指纹图谱。方法:采用反相高效液相色谱法,Century SIL C18BDS柱(200 mm×4.6mm,5μm),流动相为1%醋酸水-2%醋酸乙腈低压梯度洗脱,检测波长280 nm,柱温(30±0.15)°C,进样量5μL。以"中药色谱...目的:建立黄芩HPLC数字化指纹图谱。方法:采用反相高效液相色谱法,Century SIL C18BDS柱(200 mm×4.6mm,5μm),流动相为1%醋酸水-2%醋酸乙腈低压梯度洗脱,检测波长280 nm,柱温(30±0.15)°C,进样量5μL。以"中药色谱指纹图谱超信息特征数字化评价系统"软件进行评价。结果:以黄芩苷峰为参照物峰,确定30个共有峰,建立了黄芩HPLC数字化指纹图谱。应用色谱指纹图谱指数F等参数对不同产地黄芩HPLC指纹图谱的超信息特征进行了数字化评价。结论:所建立HPLC数字化指纹图谱具有较好的精密度和重现性,适用于黄芩药材的质量控制。展开更多
The similarities of the non-linear chemical （NLC） fingerprints of Radix Glycyrrhizaes from four producing areas and eight other traditional Chinese medicines （TCMs） were calculated, using a systemic similarity cal...The similarities of the non-linear chemical （NLC） fingerprints of Radix Glycyrrhizaes from four producing areas and eight other traditional Chinese medicines （TCMs） were calculated, using a systemic similarity calculation method proposed and three other main calculation ones （Euclidean distance, correlation coefficient and included angle cosine）. All of the correlation coefficient similarities of different TCMs are higher than 0.952, and the included angle cosines are all higher than 0.962. So, both the conelation coefficient and included angle cosine similarities are unable to be used as the criteria for quantitatively evaluating the similarities of NLC fingerprints of TCMs. Although all of the Euclidean distance similarities of Berry Liquorices from four producing areas are less than 73, those of the other eight TCMs are all more than 180. The Euclidean distance cannot reflect the relative magnitudes of the feature differences in the NLC fingerprints very correctly. The systemic similarity method is the best among the four ones. All of the systemic similarities of Berry Liquorices from the four producing areas are higher than 0.962, while those of the other eight TCMs are all lower than 0.805, and the systemic similarity can reflect the differences between samples most faithfully, and can be used as a quantitative one evaluating the similarities of NLC fingerprints of TCMs, by which TCM could be distinguished and evaluated quickly, simply and exactly.展开更多
文摘目的:建立栀子HPLC数字化指纹图谱并进行统一化研究。方法:采用反相高效液相色谱法,使用Century SIL C18 BDS柱(20cm×4.6mm,5μm),以1%醋酸水-1%醋酸乙腈为流动相,低压线性梯度洗脱,检测波长265nm,柱温(30.0±0.15)℃,进样量5μL,测定10批不同产地栀子HPLC指纹图谱。以色谱指纹图谱指数F和色谱指纹图谱信息量指数I等指标定性、定量评价不同产地栀子药材质量。用方向余弦阐明大峰对相似度的影响,建立了比率定性相似度的消除方法。结果:以栀子苷峰为参照物峰,确定35个共有峰,建立了栀子HPLC数字化指纹图谱和统一化指纹图谱。结论:所建立的指纹图谱具有较好的精密度和重现性,可作为栀子药材质量控制和真伪鉴别的依据。
文摘目的:建立注射用苦碟子HPLC数字化指纹图谱,为注射用苦碟子质量控制提供依据。方法:采用反相HPLC法分析注射用苦碟子水溶液,以Century SIL BDS柱(250mm×4.6mm,5μm),流动相为1%醋酸水-1%醋酸乙腈低压梯度洗脱,检测波长265nm,柱温(30±0.15)℃,进样量20μL。用"中药色谱指纹图谱超信息特征数字化评价系统3.0"软件计算不同批次的注射用苦碟子HPLC指纹图谱的色谱指纹图谱指数F和色谱指纹图分离量指数RF等42个参数进行潜信息特征数字化评价。以双参照物体系结合定量结构-性质相关(QSPR)原理标定指纹峰的表观分子量、峰位、洗脱动量数δ、折合相对积分φ。结果:以咖啡酸峰为参照物峰,确定21个共有峰,建立了注射用苦碟子HPLC数字化指纹图谱,获得了判别注射用苦碟子质量的重要数字化信息。以双定性双定量相似度法评价注射用苦碟子批间质量稳定。结论:所建立HPLC数字化指纹图谱具有较好的精密度和重现性,适用于注射用苦碟子的质量控制。数字化指纹图谱是数字中药的核心技术,双定性双定量相似度法是宏观定性定量评价中药质量的最准确和最佳技术。
文摘目的:建立黄芩HPLC数字化指纹图谱。方法:采用反相高效液相色谱法,Century SIL C18BDS柱(200 mm×4.6mm,5μm),流动相为1%醋酸水-2%醋酸乙腈低压梯度洗脱,检测波长280 nm,柱温(30±0.15)°C,进样量5μL。以"中药色谱指纹图谱超信息特征数字化评价系统"软件进行评价。结果:以黄芩苷峰为参照物峰,确定30个共有峰,建立了黄芩HPLC数字化指纹图谱。应用色谱指纹图谱指数F等参数对不同产地黄芩HPLC指纹图谱的超信息特征进行了数字化评价。结论:所建立HPLC数字化指纹图谱具有较好的精密度和重现性,适用于黄芩药材的质量控制。
基金Project(2009GJD20033) supported by the National Science and Technology Ministry of China
文摘The similarities of the non-linear chemical （NLC） fingerprints of Radix Glycyrrhizaes from four producing areas and eight other traditional Chinese medicines （TCMs） were calculated, using a systemic similarity calculation method proposed and three other main calculation ones （Euclidean distance, correlation coefficient and included angle cosine）. All of the correlation coefficient similarities of different TCMs are higher than 0.952, and the included angle cosines are all higher than 0.962. So, both the conelation coefficient and included angle cosine similarities are unable to be used as the criteria for quantitatively evaluating the similarities of NLC fingerprints of TCMs. Although all of the Euclidean distance similarities of Berry Liquorices from four producing areas are less than 73, those of the other eight TCMs are all more than 180. The Euclidean distance cannot reflect the relative magnitudes of the feature differences in the NLC fingerprints very correctly. The systemic similarity method is the best among the four ones. All of the systemic similarities of Berry Liquorices from the four producing areas are higher than 0.962, while those of the other eight TCMs are all lower than 0.805, and the systemic similarity can reflect the differences between samples most faithfully, and can be used as a quantitative one evaluating the similarities of NLC fingerprints of TCMs, by which TCM could be distinguished and evaluated quickly, simply and exactly.
