Evidence map›Paper›PMID 37123065›Full record

ArticleFood science and biotechnology2023

Comparative analysis of the volatile components in Chinese breast milk from three regions.

Yangzheng He, Li Chen, Wenqun Liu, Ze-Yuan Deng, Jing Li

Abstract read
In one paragraph

Article in Food science and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yangzheng HeState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, Jiangxi China.
Li ChenState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, Jiangxi China.
Wenqun LiuState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, Jiangxi China.
Ze-Yuan DengState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, Jiangxi China.
Jing LiState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, Jiangxi China.ORCID 0000-0002-2271-7761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, gas chromatography-mass spectrometry (GC-MS) coupled with Partial least squares Discriminant Analysis (PLS-DA) was used to analyze the volatiles in Chinese breast milk from different cities (Wuhan, Qingdao and Hohhot) and different lactation stages (colostrum and mature milk). The results showed that breast milk contained 122 volatile substances in 9 major groups, with the largest number of olefins (36) and the highest content of acids. The different volatile compounds of breast milk in three cities were heptanal, 2-pentylfuran, (E)-2,4-decadienal, (E)-2-heptenal, (E)-2-nonenal and 1-octen-3-one, colostrum and mature milk were (E)-2-heptenal, (E)-2-decenal, lauric acid, Supplementary Information: The online version contains supplementary material available at 10.1007/s10068-022-01235-4.

Indexed as

Breast milkDietary correlationsGas chromatography–mass spectrometryPartial least squares regression analysisVolatiles

Identifiers

PMID37123065
PMCPMC10130258

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.