College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi Province, Xi'an 710000, China; College of Life Science, Qinghai Normal University, Qinghai Province, Xining 810099, China.
College of Life Science, Qinghai Normal University, Qinghai Province, Xining 810099, China.
Food Chem. 2018 Apr 25;246:233-241. doi: 10.1016/j.foodchem.2017.11.030. Epub 2017 Nov 10.
Anthocyanin composition in forty-five Lycium ruthenicum Murray (LRM) samples grown in China was identified by high-performance liquid chromatography-electrospray ionisation-mass spectrometry (HPLC-ESI-MS) and quantified by HPLC with a diode array detector (HPLC-DAD). The results showed that the overall pattern of anthocyanin composition of LRM from different provinces was the same, while the individual and total anthocyanin concentrations, were significantly different, indicating an important impact of geographical origin on anthocyanin composition, which can be considered as credible indices for LRM classification. Principal component analysis (PCA) and linear discriminant analysis (LDA) were applied to develop discrimination models for the anthocyanin concentrations. PCA clearly separated the LRM based on its geographical origins. LDA satisfactorily categorized the samples by providing a 100% success rate based on geographical origins. The results obtained could be used to trace the geographical origin of LRM.
采用高效液相色谱-电喷雾离子化-质谱联用（HPLC-ESI-MS）法分析并鉴定了 45 个中国产黑果枸杞（Lycium ruthenicum Murray，LRM）样品中的花色苷组成，采用二极管阵列检测器（HPLC-DAD）高效液相色谱法对花色苷进行定量分析。结果表明，不同产地黑果枸杞花色苷组成模式相同，但单体和总花色苷浓度存在显著差异，表明地理来源对花色苷组成有重要影响，可作为黑果枸杞分类的可靠指标。主成分分析（PCA）和线性判别分析（LDA）用于建立花色苷浓度判别模型。PCA 可根据产地清楚地分离黑果枸杞，LDA 则可根据产地对样品进行分类，准确率为 100%。该结果可用于追踪黑果枸杞的地理来源。
