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<p>Bayberry (<i>Myrica rubra</i> Sieb. et Zucc.) kernel is by-products of bayberry processing and is rich in oil. In this study, lipidomics was applied to determine the composition of bayberry kernel oil using the UPLC-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS). The bayberry kernel oil extracted by six methods was detected, including cold-pressed bayberry kernel oil (BKO1), <i>n</i>-hexane extracted bayberry kernel oil (BKO2), ultrasonic-assisted <i>n</i>-hexane extracted bayberry kernel oil (BKO3), steam explosion pretreatment assisted <i>n</i>-hexane extracted bayberry kernel oil (BKO4), aqueous enzymatic extracted bayberry kernel oil (BKO5) and supercritical extracted bayberry kernel oil (BKO6). A total of 230 lipids belonging to 17 subclasses were identified, including 28 diacylglycerols (DGs) and 161 triglycerides (TGs). According to the measured glycerides, 17 significantly different lipids were screened by PCA and multivariate statistical analysis, which could serve as biomarkers to identify bayberry kernel oil after different treatment. The research provides important theoretical support for the application of bayberry kernel oil and provides an effective reference for the development of high-value edible oil.</p>

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Effects of different processing methods on the lipid composition of bayberry (Myrica rubra Sieb. et Zucc.) kernel oil: a lipidomics analysis

  • 期刊论文

  • 发表日期：

    2026年5月6日

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  • Haoran Ma,
  • Yunyun Yang,
  • Bo Liu,
  • Hualu Zhou,
  • Li Liang,
  • Zhaoxian Huang,
  • Taiwei Wang,
  • Yu Zhang,
  • Liangliang Xie,
  • Dan Xie

摘要

Bayberry (Myrica rubra Sieb. et Zucc.) kernel is by-products of bayberry processing and is rich in oil. In this study, lipidomics was applied to determine the composition of bayberry kernel oil using the UPLC-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS). The bayberry kernel oil extracted by six methods was detected, including cold-pressed bayberry kernel oil (BKO1), n-hexane extracted bayberry kernel oil (BKO2), ultrasonic-assisted n-hexane extracted bayberry kernel oil (BKO3), steam explosion pretreatment assisted n-hexane extracted bayberry kernel oil (BKO4), aqueous enzymatic extracted bayberry kernel oil (BKO5) and supercritical extracted bayberry kernel oil (BKO6). A total of 230 lipids belonging to 17 subclasses were identified, including 28 diacylglycerols (DGs) and 161 triglycerides (TGs). According to the measured glycerides, 17 significantly different lipids were screened by PCA and multivariate statistical analysis, which could serve as biomarkers to identify bayberry kernel oil after different treatment. The research provides important theoretical support for the application of bayberry kernel oil and provides an effective reference for the development of high-value edible oil.