Effects of different processing methods on the lipid composition of hazelnut oil: A lipidomics analysis

Although hazelnut oil is rich in nutrients, its quality is greatly affected by how it is processed. However, no studies to date have comprehensively analyzed the lipid composition of hazelnut oil using different processing methods. Here, we conducted a lipidomics analysis using UPLC-QTOF-MS to chara...

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Autores principales: Jiayang Sun, Xiaonuo Feng, Chunmao Lyu, Shuang Zhou, Zixuan Liu
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Lenguaje:EN
Publicado: KeAi Communications Co., Ltd. 2022
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Acceso en línea:https://doaj.org/article/ffa2387565e14a2bb3faf20228a1bed1
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spelling oai:doaj.org-article:ffa2387565e14a2bb3faf20228a1bed12021-11-28T04:32:16ZEffects of different processing methods on the lipid composition of hazelnut oil: A lipidomics analysis2213-453010.1016/j.fshw.2021.11.024https://doaj.org/article/ffa2387565e14a2bb3faf20228a1bed12022-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S221345302100121Xhttps://doaj.org/toc/2213-4530Although hazelnut oil is rich in nutrients, its quality is greatly affected by how it is processed. However, no studies to date have comprehensively analyzed the lipid composition of hazelnut oil using different processing methods. Here, we conducted a lipidomics analysis using UPLC-QTOF-MS to characterize the lipid composition of cold-pressed hazelnut oil (CPO), ultrasonic-assisted hexane hazelnut oil (UHO) and enzyme-assisted aqueous hazelnut oil (EAO). A total of 10 subclasses of 98 lipids were identified, including 35 glycerolipids (GLs), 56 glycerophospholipids (GPs) and 7 sphingolipids (SPs). The total lipid and GL content were the highest in CPO, GP content was the highest in UHO and the ceramide content in SPs was most abundant in EAO. Multivariate statistical analysis showed that the lipid profiles of hazelnut oil prepared with different processing methods varied. Twelve significantly different lipids (TAG 54:3, TAG 52:2, TAG 54:4, TAG 54:2, TAG 52:3, TAG 54:5, DAG 36:2, DAG 36:4, DAG 36:3, PC 36:2, PA 36:2 and PE 36:3) were identified, and these lipids could potentially be used as biomarkers to distinguish between hazelnut oil subjected to different processing methods. Our results provide useful information for hazelnut oil applications and new insight into the effects of edible oil processing.Jiayang SunXiaonuo FengChunmao LyuShuang ZhouZixuan LiuKeAi Communications Co., Ltd.articleLipidomicsHazelnut oilProcessing methodLipid compositionNutrition. Foods and food supplyTX341-641ENFood Science and Human Wellness, Vol 11, Iss 2, Pp 427-435 (2022)
institution DOAJ
collection DOAJ
language EN
topic Lipidomics
Hazelnut oil
Processing method
Lipid composition
Nutrition. Foods and food supply
TX341-641
spellingShingle Lipidomics
Hazelnut oil
Processing method
Lipid composition
Nutrition. Foods and food supply
TX341-641
Jiayang Sun
Xiaonuo Feng
Chunmao Lyu
Shuang Zhou
Zixuan Liu
Effects of different processing methods on the lipid composition of hazelnut oil: A lipidomics analysis
description Although hazelnut oil is rich in nutrients, its quality is greatly affected by how it is processed. However, no studies to date have comprehensively analyzed the lipid composition of hazelnut oil using different processing methods. Here, we conducted a lipidomics analysis using UPLC-QTOF-MS to characterize the lipid composition of cold-pressed hazelnut oil (CPO), ultrasonic-assisted hexane hazelnut oil (UHO) and enzyme-assisted aqueous hazelnut oil (EAO). A total of 10 subclasses of 98 lipids were identified, including 35 glycerolipids (GLs), 56 glycerophospholipids (GPs) and 7 sphingolipids (SPs). The total lipid and GL content were the highest in CPO, GP content was the highest in UHO and the ceramide content in SPs was most abundant in EAO. Multivariate statistical analysis showed that the lipid profiles of hazelnut oil prepared with different processing methods varied. Twelve significantly different lipids (TAG 54:3, TAG 52:2, TAG 54:4, TAG 54:2, TAG 52:3, TAG 54:5, DAG 36:2, DAG 36:4, DAG 36:3, PC 36:2, PA 36:2 and PE 36:3) were identified, and these lipids could potentially be used as biomarkers to distinguish between hazelnut oil subjected to different processing methods. Our results provide useful information for hazelnut oil applications and new insight into the effects of edible oil processing.
format article
author Jiayang Sun
Xiaonuo Feng
Chunmao Lyu
Shuang Zhou
Zixuan Liu
author_facet Jiayang Sun
Xiaonuo Feng
Chunmao Lyu
Shuang Zhou
Zixuan Liu
author_sort Jiayang Sun
title Effects of different processing methods on the lipid composition of hazelnut oil: A lipidomics analysis
title_short Effects of different processing methods on the lipid composition of hazelnut oil: A lipidomics analysis
title_full Effects of different processing methods on the lipid composition of hazelnut oil: A lipidomics analysis
title_fullStr Effects of different processing methods on the lipid composition of hazelnut oil: A lipidomics analysis
title_full_unstemmed Effects of different processing methods on the lipid composition of hazelnut oil: A lipidomics analysis
title_sort effects of different processing methods on the lipid composition of hazelnut oil: a lipidomics analysis
publisher KeAi Communications Co., Ltd.
publishDate 2022
url https://doaj.org/article/ffa2387565e14a2bb3faf20228a1bed1
work_keys_str_mv AT jiayangsun effectsofdifferentprocessingmethodsonthelipidcompositionofhazelnutoilalipidomicsanalysis
AT xiaonuofeng effectsofdifferentprocessingmethodsonthelipidcompositionofhazelnutoilalipidomicsanalysis
AT chunmaolyu effectsofdifferentprocessingmethodsonthelipidcompositionofhazelnutoilalipidomicsanalysis
AT shuangzhou effectsofdifferentprocessingmethodsonthelipidcompositionofhazelnutoilalipidomicsanalysis
AT zixuanliu effectsofdifferentprocessingmethodsonthelipidcompositionofhazelnutoilalipidomicsanalysis
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