可比性
母乳喂养
哺乳期
标准化
样品(材料)
数据收集
数据科学
生物技术
风险分析(工程)
食品科学
计算机科学
生物
医学
化学
数学
统计
怀孕
病理
组合数学
操作系统
遗传学
色谱法
作者
Meghan B. Azad,Stephanie Atkinson,Donna Geddes
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2021-01-01
卷期号:: 3-33
标识
DOI:10.1016/b978-0-12-815350-5.00001-2
摘要
Decades of research have established that breastfeeding has multiple benefits for maternal and infant health, yet much remains to be elucidated about the underlying biological mechanisms. Research in this area requires analysis of human milk and its nutritive and bioactive components, with knowledge of compositional variations that occur during the course of a single feed, diurnally, with stage of lactation, and in response to maternal diet or health status. Standardization of methods is critical to ensure accuracy and maximize comparability between studies. The optimal collection strategy will depend on the specific research question and component(s) of interest, and must consider when and how the milk is collected, as well as the processing and storage of the milk sample. In this chapter, we describe and compare different milk sampling strategies, expression methods, and storage containers, and discuss the impact of storage time and temperature on specific milk components.
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