喀什树莓果汁HPLC指纹谱图及化学模式识别研究

HPLC fingerprint and its chemical pattern recognition on bramble juice in Kashgar

目的:采用高效液相色谱法获取12批树莓果汁指纹谱图,以共有峰为评价指标,结合相似度分析,对树莓果汁的质量进行评价。方法:采用色谱柱:Agilent HC-C18(4.6mm×250mm,5μm),甲醇(B)-0.5%乙酸(A)作为流动相,梯度洗脱:0～8min,10%～20%B;8～15min,20%～35%B;15～25min,35%～50%B;25～40min,50%～80%B;检测波长:275nm,流速:0.8mL/min,柱温:30℃。结果:建立了12批树莓指纹图谱,发现13个色谱峰为共有峰;样品色谱图和对照谱图之间的相似度相差不大均在0.968以上,12批树莓果汁的质量都很稳定,与伪品相差较大;并把获得的指纹图谱用系统聚类分析和主成分分析进行化学模式识别研究。结论:结果表明,该法能明显区分伪品,适合于树莓果汁的质量评价。

Objective：The fingerprint of bramble juice in Kashgar was established by use of HPLC,using the common peak as the evaluation index, and combined with the similarity analysis,the quality of the juice was evaluated. Methods= Agilent HC-C18 column （4.6×250mm, 5μm） was used with gradient elution of methanol （B） -0.5% acetic acid（A） as mobile phase. Gradient elution：0-8min, 10%-20% B,8-15min,20%N35% B, 15-25min,35%-50% B, 25-40min, 50%-80% B. The detection wavelength was 275nm,the flow rate was 0.8mL/min and the column temperature was 30℃. Results：The fingerprint of bramble juice was established by using sample chromatography of 12 batches and 13 common fingerprint peaks were found. There was little difference in the similarity between sample chromatograms and the standard spectrum （similarity above 0.968）, which proved that bramble juice quality of 12 batches was stable. Moreover, it was more different from counterfeit. The fingerprints were obtained and were handled by hierarchical clustering analysis and principal component analysis. Conclusion：The result showed that the method was convenient for differentiation of counterfeit and applicable to quality evaluation of bramble juice in Kashgar.