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超声辅助提取-衍生化反应结合超高效液相色谱-高分辨质谱同时测定食品中23种醛酮类化合物

朱洲海 朱瑞芝 徐艳群 朱丽 刘美燕 杨玺 尹志豇 彭琪媛 高茜 任达兵

食品科学2026,Vol.47Issue(5):335-341,7.
食品科学2026,Vol.47Issue(5):335-341,7.DOI:10.7506/spkx1002-6630-20250823-166

超声辅助提取-衍生化反应结合超高效液相色谱-高分辨质谱同时测定食品中23种醛酮类化合物

Ultrasound-Assisted Extraction Combined with Derivatization for the Simultaneous Determination of 23 Aldehydes and Ketones in Foods by UPLC-HRMS

朱洲海 1朱瑞芝 1徐艳群 1朱丽 1刘美燕 2杨玺 1尹志豇 1彭琪媛 1高茜 1任达兵2

作者信息

  • 1. 云南省烟草化学重点实验室,云南中烟工业有限责任公司技术中心,云南 昆明 650231
  • 2. 昆明理工大学食品科学与工程学院,云南 昆明 650500
  • 折叠

摘要

Abstract

In this study,we introduced a novel method that utilizes derivatization treatments in conjunction with ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry(UPLC-HRMS)for the simultaneous quantification of 23 aldehydes and ketones(AKs)in food samples.Several key factors including the extraction procedure,the type and composition of acid solutions,and derivatizing agent concentration were optimized which influenced the extraction and derivatization efficiencies.Under optimal conditions,ultrasound-assisted extraction(50 W,10 min,and 30℃)was selected as the most suitable method for extracting AKs from solid samples,with phosphoric acid(1%,V/V)as the preferred acid and 2,4-dinitrophenylhydrazine(DNPH)at a concentration of 50 μg/mL as the derivatizing agent.The proposed method exhibited good linearity over a wide concentration range(R2≥0.995),high sensitivity with limits of quantification(LOQs)of 0.002 0-0.132 4 µg/mL,and high accuracy.Using the developed method,23 AKs were successfully determined in tea and coffee samples.Compared with existing methods,this method achieves higher throughput while significantly reducing analysis time.

关键词

醛酮成分/高分辨质谱/衍生化反应/同时定量分析

Key words

aldehydes and ketones/high-resolution mass spectrometry/derivatization/simultaneous quantification

分类

轻工纺织

引用本文复制引用

朱洲海,朱瑞芝,徐艳群,朱丽,刘美燕,杨玺,尹志豇,彭琪媛,高茜,任达兵..超声辅助提取-衍生化反应结合超高效液相色谱-高分辨质谱同时测定食品中23种醛酮类化合物[J].食品科学,2026,47(5):335-341,7.

基金项目

云南中烟工业有限公司科技项目(2024ZK01) (2024ZK01)

食品科学

1002-6630

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