山茶
红茶
色度计
化学
奎宁酸
色差
RGB颜色模型
多光谱图像
比色法
食品科学
色谱法
人工智能
计算机科学
生物化学
植物
生物
GSM演进的增强数据速率
物理
量子力学
作者
Piaopiao Long,Yaxin Li,Zisheng Han,Mengting Zhu,Xiaoting Zhai,Zongde Jiang,Mingchun Wen,Chi‐Tang Ho,Liang Zhang
出处
期刊:Food Chemistry
[Elsevier]
日期:2023-08-19
卷期号:432: 137185-137185
被引量:23
标识
DOI:10.1016/j.foodchem.2023.137185
摘要
The present study provided a highly efficient and systematic workflow for identifying colorants of food and beverage. Generally, the objective colorimeter and subjective human eye had different systems to identify colors, which makes the color description very challenging. Here, the Lab/LCH color system was applied to clearly illustrate color changes. Our workflow was applied to determine and verify the differential colorant substances between two groups of black tea infusions. Regarding color parameters, the infusions of black tea from Camellia sinensis and Camellia assamica differed significantly. The differential substances between black tea infusions were correlated to color parameters by mass spectrometry and nuclear magnetic resonance based multivariate statistical analysis and verified by machine learning tool. Pyroglutamic acid-glucose Amadori product, quercetin-3-O-glucoside, quinic acid and theabrownins were identified as main color contributors to black teas' color difference, which were also verified by addition test with standard black tea infusion.
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