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改进的列色谱-薄层色谱密度测量方法用于净化乳制品斯芬戈美林

Jun Cai¹, Yu Liu¹, Chaoting Wen¹

¹School of Food Science and Engineering, Yangzhou University, 225127 Yangzhou, Jiangsu Province, China.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences

|June 20, 2025

概括

一种新的方法可以使用优化的柱染色法从牛奶脂中净化基胺 (SM). 该技术实现了高纯度 (90%) 和回收 (>85%),克服了工业应用传统方法的局限性.

科学领域:

生物化学生物化学
分析化学分析化学
分离科学分离科学

背景情况:

斯芬哥米林 (SM) 在食品,化品和制药行业具有价值.
传统的SM净化方法产生低纯度和高溶剂废物.
从乳脂 (MPL) 等来源有效地分离高纯度的SM是具有挑战性的.

研究的目的:

开发一种高效可靠的方法来从牛奶脂 (MPL) 中净化基胺 (SM).
克服传统净化技术的缺点,如低纯度和高溶剂消耗.
为了建立最佳的条件,用薄层染色学 (TLC) 动态监控的烯酸列染色学.

主要方法:

优化了薄层染色学 (TLC) 条件,用于使用特定的溶剂系统 (甲基酸盐-异醇-甲-甲醇-0.25% KCl) 进行SM分离.
使用ImageJ软件进行SM的相对量化,验证精度,准确性,LOD和LOQ.
采用梯度化石柱色谱,使用TLC动态监测和优化化剂系统.

主要成果:

在优化色谱条件下,获得超过85%的SM回收率.
净化后的SM的纯度达到了90% (摩尔比),这是31PNMR证实的.
通过UPLC-MS/MS在纯化SM中显示出高比例的化长链和脂肪酸.

结论:

开发的渐变化化柱染色法与TLC动态监测是有效的高纯度SM净化从MPL.
这种方法比传统技术具有显著的优势,提供高回收率和纯度,减少溶剂使用.
纯化的SM,以其高纯度和脂肪酸概况为特征,适用于食品,化品和药品的工业应用.

关键词:

列色谱是一种列色谱.图片 J 图片 J 图片净化净化净化净化斯芬哥米叶林是一种神经元.这就是TLC.

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