| 引用本文: | 林苗苗,魏惠珍,吴柳瑾,吕尚,康兴东,吴永忠,金浩鑫,饶毅.基于近红外光谱法快速检测裸花紫珠颗粒中木犀草苷和毛蕊花糖苷的含量[J].中国现代应用药学,2019,36(7):786-790. |
| LIN Miaomiao,WEI Huizhen,WU Liujin,LYU Shang,KANG Xingdong,WU Yongzhong,JIN Haoxin,RAO Yi.Rapid Determination of Luteolosided and Verbascoside in Callicarpa Nudiflora Granule Based on Near-infrared Spectroscopy[J].Chin J Mod Appl Pharm(中国现代应用药学),2019,36(7):786-790. |
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| 基于近红外光谱法快速检测裸花紫珠颗粒中木犀草苷和毛蕊花糖苷的含量 |
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林苗苗1, 魏惠珍1,2, 吴柳瑾1, 吕尚1, 康兴东3, 吴永忠3, 金浩鑫2, 饶毅1,2
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1.江西中医药大学药学院, 南昌 330000;2.中药固体制剂制造技术国家工程研究中心, 南昌 330000;3.江西普正制药有限公司, 江西 吉安 343000
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| 摘要: |
| 目的 采用近红外光谱法建立裸花紫珠颗粒中木犀草苷和毛蕊花糖苷含量的快速检测方法。方法 采用HPLC测定裸花紫珠颗粒中木犀草苷和毛蕊花糖苷的含量，利用近红外光谱法结合偏最小二乘法（PLS），建立裸花紫珠颗粒中木犀草苷和毛蕊花糖苷的定量校正模型。结果 木犀草苷和毛蕊花糖苷的定量校正模型的相关系数（r）分别为0.987 9，0.956 3；内部交叉验证均方差（RMSECV）分别为0.004 6，0.063 7。验证集的相关系数（r）分别为0.905 8，0.964 8；预测误差均方差（RMSEP）分别为0.020 0，0.079 8。结论 该研究基于近红外光谱法建立的裸花紫珠颗粒木犀草苷和毛蕊花糖苷快速检测定量模型性能良好，预测结果良好，为中药颗粒的含量测定和质量控制研究提供了科学合理的方法。 |
| 关键词: 近红外光谱 裸花紫珠颗粒 木犀草苷 毛蕊花糖苷 快速检测 |
| DOI：10.13748/j.cnki.issn1007-7693.2019.07.003 |
| 分类号:R284.1 |
| 基金项目:国家中药标准化项目（ZYBZH-C-JX-40）；江西省重点研发计划项目（20171ACG70010） |
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| Rapid Determination of Luteolosided and Verbascoside in Callicarpa Nudiflora Granule Based on Near-infrared Spectroscopy |
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LIN Miaomiao1, WEI Huizhen1,2, WU Liujin1, LYU Shang1, KANG Xingdong3, WU Yongzhong3, JIN Haoxin2, RAO Yi1,2
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1.College of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330000, China;2.National Engineering Research Center of Chinese Medicine Solid Preparation, Nanchang 330000, China;3.Jiangxi Puzheng Pharmaceutical Co., Ltd., Ji'an 343000, China
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| Abstract: |
| OBJECTIVE To establish a rapid detection method to detect the content of luteolosided and verbascoside in Callicarpa Nudiflora granule by near infrared spectrum. METHODS Determined the content of luteolosided and verbascoside in Callicarpa Nudiflora granule by HPLC. And used near infrared spectroscopy combining with partial least squares(PLS) to set up quantitative calibration model of luteolosided and verbascoside. RESULTS The correlation coefficients(r) of the quantitative correction model of luteolosided and verbascoside were 0.987 9 and 0.956 3 respectively. The values of root mean square error of cross validation(RMSECV) were 0.004 6 and 0.063 7. The correlation coefficient(r) of the verification set were 0.905 8 and 0.964 8 respectively. The mean square error(RMSEP) were 0.020 0 and 0.079 8. CONCLUSION Based on near infrared spectroscopy, the study establish a rapid quantitative model of luteolosided and verbascoside and its performance is good, and the prediction results of the model are good. This study provides a scientific and reasonable method for the content determination and quality control of Chinese medicine granules. |
| Key words: near-infrared spectroscopy Callicarpa Nudiflora granule luteolosided verbascoside rapid determination |
