从可食用的水果中分离多个衍生型单糖的线上度和分离,通过微粒电动力学染色学扫除循环德克斯特林封装的扫除
Huang-Fei Jin1, Ying Shi1, Qian-Xue Shen1
1College of Material Chemistry and Chemical Engineering, Hangzhou Normal University, Hangzhou 311121, China.
Journal of chromatography. A
|December 15, 2023
概括
这项研究引入了循环德克斯特林封装扫描 (CDES) 与状电动色谱 (MEKC) 进行线上丰富和分离单糖. 该方法有效地检测像朱果这样的复杂样品中的微量糖.
科学领域:
- 分析化学 分析化学
- 分离科学 分离科学
- 食品分析 食品分析
背景情况:
- 在复杂矩阵中精确量化单糖是具有挑战性的.
- 现有的方法往往缺乏灵敏度,需要大量的样本准备.
- 状电动色谱 (MEKC) 提供了糖分析的潜力,但需要进行丰富.
研究的目的:
- 开发和优化衍生型单糖的在线丰富和分离方法.
- 为了提高灵敏度,将循环德素封装扫除 (CDES) 与MEKC相结合.
- 为了验证食品样本中单糖的分析方法.
主要方法:
- 通过使用1--3-甲基-5-pyrazolone衍生了五种单糖.
- 优化的MEKC条件涉及酸,二硫酸和甲醇的特定度.
- 使用CDES实施了一种新的在线丰富策略,优化了注射时间和解决方案.
主要成果:
- 通过CDES-MEKC方法,分析单糖的相关系数高 (≥0.9953).
- 获得了灵敏检测极限,范围为4.2至7.4 ng/mL.
- 优秀的丰富系数 (53-82) 和较低的相对标准偏差 (0.24-4.23%) 证明了方法的稳定性.
- 对朱树样品的成功应用产生了高回收率 (84.22-104.33%).
结论:
- 开发的CDES-MEKC方法提供了高效的在线丰富和分离衍生型单糖.
- 这种技术提供了一种灵敏可靠的方法,用于分析复杂的食物矩阵中的微量单糖.
- 该方法提供了一种新的策略,用于在具有挑战性的样品中检测各种分析物.
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