开发一种利用激光诱导荧光检测表征母乳中低聚糖的毛细管电泳方法

Marcelina Rusin, Aneta Woźniakiewicz, Małgorzata Gołąb, Justyna Dobrowolska-Iwanek, Hubert Huras, Magdalena Staśkiewicz, Ryszard Lauterbach, Michał Woźniakiewicz
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摘要

母乳是婴儿出生后最初几个月最合适的食物--它提供了正常生长所需的基本营养,其中母乳低聚糖(HMO)是含量第三高的成分。母乳中 HMO 的浓度因哺乳阶段和母体健康等因素而异。它们对婴儿健康起着至关重要的作用,可作为益生元、抗菌剂和免疫调节剂。毛细管电泳和液相色谱等分析方法最常用于 HMO 的定性和定量分析。本研究旨在继续提高 HMOs 综合分析的分析技术,因此开发了一种带有激光诱导荧光检测的毛细管电泳方法,该方法带有衍生化和固相萃取步骤,可用于初乳样品中主要低聚糖的表征。对该方法的线性(0.9949-0.9989)、检出限(5.49-16.40 ng cm-3)和定量限(18.30-54.67 ng cm-3)、日内和日间精密度(分别为2.41-9.78%和1.27-14.5%)、真实性(- 8.4%至- 2.0%)、固相萃取回收率(70.02-113.5%)和重复性(2.22-10.58%)等验证参数进行了评估。采用 RGB 添色模型对该方法的分析和实用效果以及绿色环保性进行了评估(亮度分数为 67.1%)。此外,该方法还成功地用于测定牛初乳样品中的三种低聚糖(DSLNT、3'SL 和 6'SL)。考虑到其有效性,该方法在此类应用中大有可为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Development of a capillary electrophoresis method with laser-induced fluorescence detection for the characterization of oligosaccharides in human milk

Breast milk is the most appropriate food for an infant in the first months of life - it provides the essential nutrients required for proper growth, with breast milk oligosaccharides (HMOs) being the third most abundant component. HMO concentrations vary based on factors like lactation stage and maternal health. They play crucial roles in infant health, acting as prebiotics, antimicrobials, and immune modulators. Analytical methods like capillary electrophoresis and liquid chromatography are the most often used in HMOs qualitative and quantitative analysis. Continuing research aims to enhance analytical techniques for comprehensive HMOs analysis, this work presents the development of a capillary electrophoresis method with laser-induced fluorescence detection along with derivatization and solid-phase extraction steps for the characterisation of major oligosaccharides in colostrum samples. Validation parameters, such as linearity (0.9949–0.9989), limits of detection (5.49–16.40 ng cm−3) and quantification (18.30–54.67 ng cm−3), intra- and inter-day precision (2.41–9.78% and 1.27—14.5%, respectively), trueness (− 8.4 to − 2.0%), and recovery (70.02–113.5%) and repeatability (2.22–10.58%) for solid-phase extraction stage were assessed. The method was evaluated using RGB additive colour model regarding the analytical and practical effectiveness and greenness of the method (achieving a brilliance score of 67.1%). Moreover, the developed method was successfully applied to determine three oligosaccharides (DSLNT, 3’SL, and 6’SL) in colostrum samples. Considering its effectiveness, the method has promise for this type of application.

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