刺梨的活性成分含量分布与光谱表征

刺梨是蔷薇科蔷薇属多年生落叶灌木，其果实富含多种生物活性物质，具有重要的药食用价值。采用近红外、紫外-可见、激发发射三维荧光光谱技术系统性表征刺梨鲜果提取物化学组成，探讨不同产地的301个批次刺梨果中总酚、总黄酮、总三萜类物质的含量与自由基清除能力、铁离子还原能力等抗氧化活性的分布特征。结果显示刺梨果中具有高含量的酚类、黄酮类、三萜类物质，分别为9.23～37.45, 8.80～27.96和6.91～22.62mg·g^-1 FW(新鲜刺梨果的重量)。刺梨果具有较好的自由基清除活性和还原能力，对1,1-二苯基-2-三硝基苯肼(DPPH)清除率为14.39%～83.19%、 2,2’-联氮基-双-(3-乙基-苯并噻唑啉-6-磺酸)二铵盐(ABTS)清除率18.50%～68.45%、对铁离子还原能力(FRAP)0.08～0.44 mmol·L^-1 TE·g^-1 FW。这些物质含量与活性指标数据均服从正态分布，表明实验用的多批次刺梨样本具有多样性、代表性、随机性，并且不同产地的样本提取物的活性成分含量及抗氧化活性没有显著的统计学...

Phytochemical Active Composites in Rosa Roxburghii Tratt.: Content Distribution and Spectroscopic Characterization

Rosa roxburghii Tratt. (RRT) is a perennial deciduous shrub of Rosa genus in Rosaceae. Its fruit has specific nutritional and medicinal values due to a variety of bioactive ingredients present in a substantial amount. This study used NIR, UV-Vis and fluorescence spectroscopies to characterize the chemical composites of the RRT fruit extracts in 301 batches from different planting origins. Meanwhile, the distribution characteristics of the contents of total phenols (TPC), total flavonoids (TFC), and total triterpenoids (TTC) in the extracts were not only discussed, but also the antioxidant activities concerning free radical scavenging capacity and ferric reducing antioxidant power, concerning the DPPH, ABTS and FRAP assays. Results showed high TPC, TFC and TTC in RRT fruit, as were 9.23~37.45, 8.80~27.96 and 6.91~22.62 mg·g-1 FW, respectively, which possibly led to a pretty good free radical scavenging capacity and reducing power. The scavenging rate of DPPH ranged between 14.39%~83.19%, the scavenging rate of ABTS was 18.50%~68.45%, and FRAP varied in 0.08~0.44 mmol·L-1 TE·g-1 FW. The statistical analysis indicated that all the individual TPC, TFC, TTC, DPPH, ABTS, and FRAP values from 301 batches were normally distributed. The samples used in the study might be pooled from the population and thus diverse, representative, and random. There was no significant statistical difference in the contents of active composites and antioxidant activities of the extracts regardless of the planting origins. All the UV-Vis-NIR and fluorescence spectra had characteristic bands. The resultant principal discriminant variate (PDV) models were able to identify the samples from eight planting origins from each other. When combined with the PDV models the UV-Vis, NIR and fluorescence spectroscopies could be used for compositional characterization, rapid detection and discrimination of the extracts. This work provided a new idea for the quality evaluation, strain selection and resource development of RRT, among other medicinal-edible plants. However, it was neither reliable at all through testing the contents of active constituents and antioxidant activities of RRT samples to determine the compositional information of plant extracts, nor possible for the origin traceability purpose.