领域(数学)
环境科学
采样(信号处理)
工作流程
计算机科学
营养物
工艺工程
比例(比率)
桥(图论)
度量(数据仓库)
内容(测量理论)
生化工程
数据挖掘
人类健康
作者
Donna T. Geddes,Lisa F. Stinson
标识
DOI:10.1097/mco.0000000000001214
摘要
PURPOSE OF REVIEW: Precise nutrient quantification is essential for developing reference values, guiding fortification strategies and preventing growth deficits, particularly in preterm infants. This review examines current methodologies for measuring nutrient content in human milk, evaluating accuracy, practicality, and limitations of existing analytical approaches. RECENT FINDINGS: Current analytical methods for human milk nutrients demonstrate a trade-off between accuracy and clinical practicality. While some methods provide the high accuracy for macronutrient measurement, they require large sample volumes and extensive laboratory time. Alternative approaches such as spectroscopic and colorimetric methods offer improved efficiency and smaller sample requirements but with varying degrees of accuracy. Significant methodological challenges persist across all approaches, including the lack of standardized sampling protocols that account for temporal variation in milk composition, and difficulties in adapting analytical technologies originally designed for other matrices. These limitations are particularly problematic for micronutrient analysis, where sample degradation and storage conditions could impact results. SUMMARY: While multiple analytical approaches for human milk exist, significant methodological limitations compromise accuracy and clinical utility. The field requires standardized workflows encompassing rigorous sampling protocols, validated storage conditions, and comprehensive method validation. Future developments should bridge the gap between research-grade accuracy and clinical practicality.
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