School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia; Healthy Mothers, Babies and Children theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia.
School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia.
Prostaglandins Leukot Essent Fatty Acids. 2018 Dec;139:3-8. doi: 10.1016/j.plefa.2018.08.003. Epub 2018 Aug 31.
Long chain polyunsaturated fatty acid (LCPUFA) intake during infancy has been associated with many health benefits, and the LCPUFA intake of breastfed infants is largely dependent on the composition of breast milk. The conventional method for breast milk fatty acid profiling is complicated by the need for cold-chain transportation and storage, and the newly developed dried milk spot (DMS) technology overcomes these difficulties. This study aimed to determine the accuracy, sensitivity and applicability of the DMS method developed based on the PUFAcoat™ technology. Two hundred breast milk samples were analyzed using the conventional method and compared with the DMS method. In order to evaluate the usefulness of DMS for large scale international studies, we analyzed another 786 breast milk samples collected from mothers of preterm infants who participated in a large clinical trial conducted in Australia, New Zealand and Singapore. Fatty acids were measured using capillary gas chromatography and results were reported as weight percentage of total fatty acids. Strong correlations and tight variation were observed in total saturated, monounsaturated, n-6 and n-3 PUFAs between the conventional and DMS methods. The DMS method proved to be sensitive in differentiating the breast milk fatty acid profiles of women consuming different habitual diets as evidenced by the differences between the breast milk fatty acid composition between Australian and Singaporean population. This study demonstrates that the DMS and the conventional method provide interchangeable results, and the DMS method is a particularly useful tool for large-scale studies.
长链多不饱和脂肪酸（LCPUFA）在婴儿期的摄入与许多健康益处有关，而母乳喂养婴儿的 LCPUFA 摄入量在很大程度上取决于母乳的成分。传统的母乳脂肪酸分析方法由于需要冷链运输和储存而变得复杂，而新开发的奶粉斑点（DMS）技术克服了这些困难。本研究旨在确定基于 PUFAcoat™技术开发的 DMS 方法的准确性、灵敏度和适用性。使用传统方法分析了 200 个母乳样本，并与 DMS 方法进行了比较。为了评估 DMS 对大规模国际研究的有用性，我们分析了另外 786 个来自参与澳大利亚、新西兰和新加坡进行的大型临床试验的早产儿母亲的母乳样本。使用毛细管气相色谱法测量脂肪酸，并以总脂肪酸的重量百分比报告结果。在传统方法和 DMS 方法之间，总饱和脂肪酸、单不饱和脂肪酸、n-6 和 n-3 PUFAs 之间存在强烈的相关性和紧密的变化。DMS 方法在区分不同习惯性饮食的妇女的母乳脂肪酸谱方面表现出灵敏性，这从澳大利亚和新加坡人群母乳脂肪酸组成的差异中可以看出。本研究表明，DMS 和传统方法提供可互换的结果，DMS 方法是大规模研究的特别有用的工具。
