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作 者:王倩倩[1] 王鹏飞[2] 李先恩[3] 杨世海[1]
机构地区:[1]吉林农业大学,长春130118 [2]中国药科大学,南京210009 [3]中国医学科学院药用植物研究所,北京100193
出 处:《中国农学通报》2012年第12期99-104,共6页Chinese Agricultural Science Bulletin
基 金:科技基础性工作课题"云南及周边地区农业生物资源调查"(2006FY110707)
摘 要:建立云南不同品种有色稻米的HPLC指纹图谱,为科学有效的评价其质量提供可靠的方法。采用HPLC-UV方法对样品进行测定,以VenusilASB-C18(5μm,250 mm×4.6 mm)为色谱柱;流动相为甲醇和甲酸水,梯度洗脱,流速1.0 mL/min,检测波长262 nm,柱温30℃。采用高效液相色谱法建立了云南不同品种有色稻米的HPLC指纹图谱,对收集的24个不同品种的样品进行分析,结果确定了11个共有峰。对不同品种有色稻米的指纹图谱进行聚类分析和主成分分析,24批样品聚为2类,二者分析结果一致。指纹图谱技术结合聚类分析和主成分分析是评价不同品种有色稻米的有效方法之一,为有色稻米的质量控制提供更全面的参考。The aim was to establish the method of fingerprint analysis by HPLC for the quality control of the different variety Colored Rice from Yunnan. The fingerprint was performed by HPLC-UV. The conditions of chromatography: Venusil ASB-C 18 (5 txm, 250 mmx4.6 mm) was used with a mobile phase of methanol-water, flow rate:l.0 mL/min, detection wave length at 262 nm, column temperature 30℃. A high performance liquid chromatographic method was developed to establish the fingerprint of the different variety Colored Rice from Yunnan and 24 samples from various batches were analyzed, in the result eleven common peaks were determined. Cluster analysis and principal component analysis (PCA) were applied to study on HPLC fingerprint, the result of PCA and hierarchical cluster analysis showed that the samples were divided into two types. The fingerprint with hierarchical cluster analysis and principal component analysis was one of feasible methods for identifying the different variety Colored Rice which could be used to provide useful information for quality evaluation.
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