Exploring the Visualization of Human Milk Odor Profiles: Intuitive Characterization and Construction of the Link between Odor Compounds and Sensory Attributes

30 Pages Posted: 14 Aug 2023

See all articles by Mingguang Yu

Mingguang Yu

Beijing Technology and Business University

Ting Li

Beijing Technology and Business University

Huanlu Song

Beijing Technology and Business University

Lijin Wang

Beijing Technology and Business University

Hao Ding

affiliation not provided to SSRN

Xiaole Li

affiliation not provided to SSRN

Rongqiang Yang

affiliation not provided to SSRN

Abstract

The odor study is not negligible in human milk (HM) science field because it plays an irreplaceable role in the feeding process of infants. The aim of this study was to investigate the odor skeleton components (OSCs) in HM and to verify and construct an intuitive link between them and the odor attributes of HM. Firstly, a total of 72 odor-active compounds were identified from 32 HM using DHS-GC×GC-O-MS technique. Then, DHDA, OAV calculation, odor recombination and omission experiments were used to identify 20 OSCs and their true odor contributions, among which butanoic acid had the highest content (386~1724 μg/kg). Finally, the connection of the 20 OSCs with their corresponding 8 odor attributes was visualized by constructing molecular sensory odor wheel. 2,3-Butanedione, (E)-2-decenal, nonanal, (E)-2-nonenal, octanal, 1-octen-3-one, hexanal, methional, and butanoic acid were the most important contributors to dairy-sweet, fishy, dairy-fat, metallic/iron, flour, grassy/green, cooked, and sweaty/rancid odor of HM.

Keywords: human milk, key odor-active compounds, odor skeleton components, GC×GC-O-MS, sensory, molecular sensory odor wheel

Suggested Citation

Yu, Mingguang and Li, Ting and Song, Huanlu and Wang, Lijin and Ding, Hao and Li, Xiaole and Yang, Rongqiang, Exploring the Visualization of Human Milk Odor Profiles: Intuitive Characterization and Construction of the Link between Odor Compounds and Sensory Attributes. Available at SSRN: https://ssrn.com/abstract=4538387 or http://dx.doi.org/10.2139/ssrn.4538387

Mingguang Yu

Beijing Technology and Business University ( email )

No. 11/33, Fucheng Road, Haidian District
Liangxiang
Beijing, 102488
China

Ting Li

Beijing Technology and Business University ( email )

No. 11/33, Fucheng Road, Haidian District
Liangxiang
Beijing, 102488
China

Huanlu Song (Contact Author)

Beijing Technology and Business University ( email )

Lijin Wang

Beijing Technology and Business University ( email )

Hao Ding

affiliation not provided to SSRN ( email )

No Address Available

Xiaole Li

affiliation not provided to SSRN ( email )

No Address Available

Rongqiang Yang

affiliation not provided to SSRN ( email )

No Address Available

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