Abstract：
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.
摘要：
通过高效液相色谱-电喷雾电离质谱（HPLC-ESI-MS）鉴定了在中国种植的45个黑果枸杞（LRM）样品中的花青素成分，并通过带有二极管阵列检测器的HPLC（HPLC-DAD）进行了定量。结果表明,不同省份LRM的花色苷组成总体格局相同,而个体和总花青素浓度，有很大的不同，表明地理来源对花青素成分的重要影响，这些指标可以被认为是LRM分类的可靠指标。应用主成分分析（PCA）和线性判别分析（LDA）来建立花色苷浓度的判别模型。PCA根据LRM的地理起源明确区分了LRM。LDA通过基于地理来源提供100%的成功率来令人满意地对样品进行分类。获得的结果可用于追踪LRM的地理起源。
