Qu Di, Bo Panpan, Wen Liankui, Sun Yinshi
Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China.
Institute of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China.
Foods. 2022 Apr 16;11(8):1161. doi: 10.3390/foods11081161.
beverages have been some of the most popular plant drinks among consumers in recent years, but they become turbid and sediment are easily formed during production and marketing, these are some of the key issues that affect the quality of the beverages. In this study, we analysed the physicochemical properties of sediments in aqueous extracts of 3- to 6-year-old ginseng, and by tracing the sediment formation process from 0-40 days, we observed that the sediment was gradually beginning on day 10. The solid content of ginseng aged 5 and 6 years was significantly higher than that of ginseng aged 3 and 4 years. There was no significant difference in the sediment amount sediment in the extracts of ginseng of different ages. The light transmittance of the extracts after centrifugation was significantly higher than before centrifugation. Colour-difference analysis found that there was a significant positive correlation between ginseng age and colour-difference value (ΔE). Chemical composition analysis showed that total sugar and proteins were the main components of the sediment. In addition, ginsenosides, amino acids and minerals were also involved in sediment formation to different degrees. A stepwise regression model was established through principal component analysis (PCA), and the regression equation for predicting the sediment amount was obtained as follows: sediment amount (mg/mL) = 2.906 - 0.126 × - 0.131 × .
近年来，饮料一直是消费者中最受欢迎的植物饮品之一，但在生产和销售过程中它们会变浑浊并容易形成沉淀，这些是影响饮料质量的一些关键问题。在本研究中，我们分析了3至6年生人参水提取物中沉淀物的理化性质，并通过追踪0至40天的沉淀形成过程，观察到沉淀在第10天开始逐渐出现。5年和6年生人参的固形物含量显著高于3年和4年生人参。不同年龄人参提取物中的沉淀量没有显著差异。离心后提取物的透光率显著高于离心前。色差分析发现人参年龄与色差值（ΔE）之间存在显著正相关。化学成分分析表明，总糖和蛋白质是沉淀物的主要成分。此外，人参皂苷、氨基酸和矿物质也不同程度地参与了沉淀形成。通过主成分分析（PCA）建立了逐步回归模型，得到预测沉淀量的回归方程如下：沉淀量（mg/mL）=2.906 - 0.126× - 0.131× 。
