Application of metabolomics to explore the automatic oxidation process of hazelnut oil

Yan Gao; Nana Cui; Jing Liu; Qinghua Ma; Tiantian Zhao; Zhen Yang; Hongfei Zhao; Bolin Zhang; Lisong Liang

doi:10.1016/j.foodres.2022.111888

Application of metabolomics to explore the automatic oxidation process of hazelnut oil

Food Res Int. 2022 Dec;162(Pt A):111888. doi: 10.1016/j.foodres.2022.111888. Epub 2022 Sep 9.

Authors

Yan Gao¹, Nana Cui², Jing Liu³, Qinghua Ma⁴, Tiantian Zhao⁵, Zhen Yang⁶, Hongfei Zhao⁷, Bolin Zhang⁸, Lisong Liang⁹

Affiliations

¹ College of Biological Science and Biotechnology, Beijing Key Laboratory of Forest Food Processing and Safety, Beijing Forestry University, Beijing 100083, China. Electronic address: gyaaa7@163.com.
² Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; National Forestry and Grassland Innovation Alliance on Hazelnut, Beijing 100091, China; Hazelnut Engineering and Technical Research Center of the State Forestry and Grassland Administration, Beijing 100091, China. Electronic address: 1224839050@qq.com.
³ College of Biological Science and Biotechnology, Beijing Key Laboratory of Forest Food Processing and Safety, Beijing Forestry University, Beijing 100083, China. Electronic address: liujing888y@126.com.
⁴ Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; National Forestry and Grassland Innovation Alliance on Hazelnut, Beijing 100091, China; Hazelnut Engineering and Technical Research Center of the State Forestry and Grassland Administration, Beijing 100091, China. Electronic address: mqhmary@sina.com.
⁵ Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; National Forestry and Grassland Innovation Alliance on Hazelnut, Beijing 100091, China; Hazelnut Engineering and Technical Research Center of the State Forestry and Grassland Administration, Beijing 100091, China. Electronic address: zhaotian1984@163.com.
⁶ Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; National Forestry and Grassland Innovation Alliance on Hazelnut, Beijing 100091, China; Hazelnut Engineering and Technical Research Center of the State Forestry and Grassland Administration, Beijing 100091, China. Electronic address: yangzhen20051993@163.com.
⁷ College of Biological Science and Biotechnology, Beijing Key Laboratory of Forest Food Processing and Safety, Beijing Forestry University, Beijing 100083, China. Electronic address: zhaohf518@163.com.
⁸ College of Biological Science and Biotechnology, Beijing Key Laboratory of Forest Food Processing and Safety, Beijing Forestry University, Beijing 100083, China. Electronic address: zhangbolin888@bjfu.edu.cn.
⁹ Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; National Forestry and Grassland Innovation Alliance on Hazelnut, Beijing 100091, China; Hazelnut Engineering and Technical Research Center of the State Forestry and Grassland Administration, Beijing 100091, China. Electronic address: lianglscaf@163.com.

PMID: 36461270
DOI: 10.1016/j.foodres.2022.111888

Abstract

The oxidation metabolites of hazelnut oil are complex and vary with different degrees of oxidation. At present, few studies have investigated the change law of metabolites during the oxidation process of hazelnut oil. In this study, ultrahigh-performance liquid chromatography tandem Q-Exactive high-resolution mass spectrometry (UPLC-QE/MS) was used to analyze the differential metabolites resulting from the oxidation of cold-pressed hazelnut oil during storage for 40 days with accelerated oxidation. The oxidation level of cold-pressed hazelnut oil was evaluated by monitoring the free radical relative strength during accelerated oxidation. A total of 1010 metabolites in 12 super classes were detected in fresh hazelnut oil. Based on multivariate statistical analysis of all metabolites and the change law of free radicals in hazelnut oil, it was found that hazelnut oil enters the deep oxidation stage after accelerated oxidation for 30 days. A statistical analysis of differential metabolites and metabolic pathways was also carried out. The metabolite map obtained in this study can further distinguish hazelnut oil with different degrees of oxidation. Bioinformatics analysis indicated that linoleic acid metabolism and sphingolipid (SP) metabolism are the most important metabolic pathways in the entire oxidation process. These results provide a basis for better understanding the composition of hazelnut oil metabolites with different oxidation levels, identifying markers for oxidation level evaluation and analyzing the oxidative metabolism mechanism of hazelnut oil. This study provides new resources and new ideas for studying methods to prolong the shelf life of edible oils.

Keywords: Automatic oxidation; Cold-pressed hazelnut oil; Free radical; Metabolic pathway; Metabolomics; UPLC-QE/MS.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Corylus*
Mass Spectrometry
Metabolomics
Nutrients
Oxidation-Reduction