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近红外光谱技术快速检测银杏叶中指标成分含量的研究 被引量:5

Rapid Analysis of Multi- indicators in Ginkgo Biloba by Near Infrared Spectroscopy
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摘要 目的将近红外光谱技术应用于银杏叶中指标成分总黄酮醇苷含量的快速检测。方法采用HPLC方法测定银杏叶样本中总黄酮醇苷(槲皮素、山奈酚及异鼠李素)的含量,并通过最小二乘法对数据进行处理,建立银杏叶药材中的黄酮醇苷含量和槲皮素/山奈酚峰面积比的近红外定量校正模型。结果两者模型相关系数分别为0.9443和0.8963,RMSECV分别为0.104和0.149,RMSEP分别为0.082和0.206,RSEP(%)为8.69和7.29。结论近红外光谱法预测结果良好,实现了对银杏叶中药材重要指标含量的快速检测,为后期生产现场在线近红外快速无损检测系统的建构奠定扎实的基础。 Objective To determine the index ingredient rapidly in Ginkgo biloba with near infrared (NIR) spectroscopy. Methods HPLC method was used to determine the content of total flavonoids (quercetin, kaempferol and isorhanmetin) in Ginkgo biloba leaves, and near infrared (NIR) spectroscopy was applied to quantitative analysis of the content of flavones in Ginkgo biloba and peak area ratio of quercetin and kaempferol with PLS regression model. Results The correlation coefficient R was 0.9443 and 0.8963 respectively. The root mean square error of cross validation RdVISECV was 0.104 and 0.149 respectively. The root mean square error of prediction RMSEP is 0.082 and 0.206 respectively. The root square error of prediction RSEP (%) is 8.69 and 7.29 respectively. Conclusion The results are good and the method can be applied to the quantitative analysis of index ingredients of Ginkgo biloba.
出处 《中国药物警戒》 2015年第12期744-747,共4页 Chinese Journal of Pharmacovigilance
关键词 近红外光谱分析技术 快速检测 银杏叶 偏最小二乘法 near-infrared spectroscopy rapid analysis Ginkgo biloba PLS
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