Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan 528400, China.
School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Int J Mol Sci. 2023 Apr 14;24(8):7239. doi: 10.3390/ijms24087239.
Jujube fruit was well-loved and praised by the broad masses due to its delicious taste, abundant nutritional value, and medicinal properties. Few studies reported the quality evaluation and gut microbiota regulation effect of polysaccharides of jujube fruits from different producing areas. In the present study, multi-level fingerprint profiling, including polysaccharides, oligosaccharides, and monosaccharides, was established for the quality evaluation of polysaccharides from jujube fruits. For polysaccharides, the total content in jujube fruits ranged from 1.31% to 2.22%, and the molecular weight distribution (MWD) ranged from 1.14 × 10 to 1.73 × 10 Da. The MWD fingerprint profiling of polysaccharides from eight producing areas was similar, but the profile of infrared spectroscopy (IR) showed differentiation. The characteristic signals were screened and used to establish a discrimination model for the identification of jujube fruits from different areas, and the accuracy of identification reached 100.00%. For oligosaccharides, the main components were galacturonic acid polymers (DP, 2-4), and the profile of oligosaccharides exhibited high similarity. The monosaccharides, GalA, Glc, and Ara, were the primary monosaccharides. Although the fingerprint of monosaccharides was semblable, the composing proportion of monosaccharides revealed significant differences. In addition, the polysaccharides of jujube fruits could regulate the gut microbiota composition and possess potential therapeutic effects on dysentery and nervous system diseases.
枣果因其美味、丰富的营养价值和药用特性而深受广大群众喜爱和赞誉。很少有研究报道过来自不同产地的枣果多糖的质量评价和肠道微生物群调节作用。在本研究中,建立了多层次指纹图谱分析方法,包括多糖、寡糖和单糖,用于枣果多糖的质量评价。对于多糖,枣果中的总含量范围为 1.31%至 2.22%,分子量分布(MWD)范围为 1.14×10 至 1.73×10 Da。八个产地的多糖MWD 指纹图谱相似,但红外光谱(IR)图谱显示出分化。筛选出特征信号,建立了不同地区枣果识别的判别模型,识别准确率达到 100.00%。对于寡糖,主要成分是半乳糖醛酸聚合物(DP,2-4),寡糖图谱具有很高的相似度。单糖主要为 GalA、Glc 和 Ara。虽然单糖的指纹图谱相似,但单糖的组成比例存在显著差异。此外,枣果多糖可以调节肠道微生物群组成,对痢疾和神经系统疾病具有潜在的治疗作用。