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栽培黄芩与其对照药材的HPLC指纹图谱及近红外图谱比较研究 被引量:15

Comparative studies on HPLC fingerprint and near-infrared spectra of cultivated and reference crude Scutellaria baicalensis
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摘要 黄芩为我国常用大宗中药材,其野生资源急剧减少,目前我国宁夏、河北、山西、甘肃等地大面积栽培,供中药材市场及临床应用。该研究旨在通过12批栽培黄芩药材和黄芩对照药材的HPLC指纹图谱及近红外图谱研究,对4个产区的栽培黄芩药材进行质量评价。结果显示,12批栽培黄芩药材与黄芩对照药材色谱指纹图谱和近红外图谱的相似度分别大于0.961和0.983,结合12批栽培黄芩药材与黄芩对照药材共有峰面积(近红外为对应点吸收值)的配对样本t检验,均无显著差异,验证了12批栽培黄芩药材与对照药材质量的一致性较高。该研究基于色谱指纹图谱与近红外图谱,并结合配对样本t检验对分析结果进行验证,避免了分析中因指纹图谱相似度阈值限定不明确而引起的误判,为分析结果提供了可靠的依据。同时,通过对综合性较强的2种检测手段的比较研究,为完善中药材质量控制方法提供了新的思路。 Scutellaria baicalensis is a common and important medicinal plant in China, facing with reducing sharply in wild resources. To meet the needs in Chinese herbwouls medicine market and clinical application, S. baicalensis has been widely cultivated in Ningxia, Hebei, Shanxi, and Gansu et al. HPLC finger-print and near-infrared were studied in the research to evaluate quality differ- ence of S. baicalensis in four districts. The results showed that the similarity of HPLC finger-print of 12 cultivated S. baicalensis and reference crude herb is more than 0. 961, and the other is more than 0. 983. On the other hand, paired sample t-test indicated there has no significant difference between the common peaks' area of 12 cultivated S. baicalensis and reference crude herb. It was verified that 12 cultivated S. baicalensis has highly consistency with reference crude herb. On the basis of chromatographic finger-print and near-infrared spectrum, the study applied paired sample t-test to verify analysis results, which could avoid erroneous judgment induced by indefinite threshold values in the similarity of chromatographic finger-print and provide reliable basis for the analysis results. Meanwhile, it also provides a new idea for improving the quality control method of Chinese medicinal materials by comparative study about two comprehensive detection means.
出处 《中国中药杂志》 CAS CSCD 北大核心 2016年第22期4204-4209,共6页 China Journal of Chinese Materia Medica
基金 宁夏科技支撑计划项目(2015BY032)
关键词 黄芩 指纹图谱 近红外 化学成分 质量控制 ScuteUaria baicalensis fingerprint near-infrared spectra chemical composition quality control
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