Metabolite profiles of formula milk compared to breast milk.

食品科学 母乳 哺乳期 羊奶 婴儿配方奶粉
作者
Paola Scano,Antonio Murgia,Martina Demuru,Roberto Consonni,Pierluigi Caboni
出处
期刊:Food Research International [Elsevier BV]
卷期号:87: 76-82 被引量:25
标识
DOI:10.1016/j.foodres.2016.06.024
摘要

Breast milk (BM) feeding is the gold standard in neonate nutrition. When BM is not available it can be substituted or integrated with commercial formula milk (FM) usually sold under different brands and formulations. In this work, the low-molecular-weight hydrophilic compounds in milk were studied by gas chromatography electronic impact mass spectrometry (GC-MS), comparing eight different FM brands with BM samples. With the aid of multivariate statistical data analysis, a marked variability among FM brands, especially driven by the presence of prebiotics in their formulation, was highlighted. Quali-quantitative differences were found between FM and BM. Orotic acid and isomaltulose were found exclusively in FM, while phenylalanine and tyrosine levels were high in two FM brands. Moreover, higher levels of malic acid, sugars (glucose, fructose and galactose), and mannitol were detected in FM. On the other hand, BM showed a higher amino acid content. In conclusion, GC-MS proved to be a very sensitive analytical technique for the study of FM, highlighting metabolite differences among FM brands, and between FM and BM, that may have a possible strong impact on neonatal nutrition.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
可颂发布了新的文献求助10
1秒前
3秒前
3秒前
4秒前
纪无施发布了新的文献求助10
4秒前
5秒前
echo发布了新的文献求助10
5秒前
里里昂发布了新的文献求助10
8秒前
22336应助xxz666采纳,获得20
8秒前
8秒前
11秒前
qqq完成签到,获得积分10
12秒前
科研通AI6.3应助爱米粒725采纳,获得10
12秒前
13秒前
ChloeD完成签到,获得积分10
13秒前
13秒前
FashionBoy应助无情的宛儿采纳,获得10
15秒前
维生素发布了新的文献求助10
17秒前
17秒前
充电宝应助yxy采纳,获得30
18秒前
yzy应助科研通管家采纳,获得30
20秒前
华仔应助科研通管家采纳,获得10
20秒前
桐桐应助科研通管家采纳,获得10
20秒前
wanci应助科研通管家采纳,获得10
20秒前
jianinghehe发布了新的文献求助10
20秒前
FashionBoy应助科研通管家采纳,获得30
21秒前
乐乐应助科研通管家采纳,获得10
21秒前
害羞的涵蕾完成签到 ,获得积分10
21秒前
隐形曼青应助科研通管家采纳,获得10
21秒前
21秒前
852应助科研通管家采纳,获得10
21秒前
aajhajkahna应助科研通管家采纳,获得10
21秒前
无花果应助科研通管家采纳,获得10
22秒前
aajhajkahna应助科研通管家采纳,获得10
22秒前
超级的路人完成签到,获得积分10
22秒前
23秒前
24秒前
CodeCraft应助夏洛采纳,获得10
26秒前
是阿刁完成签到,获得积分10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Health Psychology 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7590932
求助须知:如何正确求助?哪些是违规求助? 9168321
关于积分的说明 19624315
捐赠科研通 7169767
什么是DOI,文献DOI怎么找? 3267407
关于科研通互助平台的介绍 2432229
邀请新用户注册赠送积分活动 2259689