Dispersive Liquid-Liquid Microextraction Coupled with Chromatography-Mass Spectrometry (GC-MS) for the Determination of Soy Sauce Aroma Compounds

化学 芳香 色谱法 分散剂 质谱法 萃取(化学) 气相色谱-质谱法 溶剂 丙酮 二氯甲烷 检出限 有机化学 食品科学 物理 光学 色散(光学)
作者
Ziming Xie,Dequan Zeng,Jingwen Wang,Ming Zhao,Yunzi Feng
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
标识
DOI:10.2139/ssrn.4265305
摘要

A B S T R A C TIn the present work, a dispersive liquid-liquid microextraction (DLLME) method combined with gas chromatography-mass spectrometry (GC-MS) was successfully developed for accurate determination of aroma-active components in soy sauce. Several key experimental parameters were optimized, including the type of dispersant, vortex time and the volume ratio of extractant and dispersant. The optimal conditions were 1200 μL acetone as dispersant, 800 μL dichloromethane as extractant and 3 min of vortex mixing. The proposed method was validated, achieving good linearities with R2 ≥ 0.9941, recoveries between 82 and 129% with 4-hydroxy-2,5-dimethyl-3(2H)-furanone (HDMF) and 4-hydroxy-2(or 5)-ethly-5(or 2)-methyl-3(2H)-furanone (HEMF) within 84-103%, relative standard deviations ranging from 0.02-8.60% with HDMF and HEMF between 0.26 and 1.44%, and limits of detection and limits of quantification in the range of 0.08-35.95 μg/L and 0.25-119.83 μg/L, respectively. The entire sample processing with DLLME was completed in roughly 15 min with a total consumption of 2 mL of organic solvent, and 91 volatiles identified in the obtained extracts, with 84.6% (77 volatiles) showing relative standard deviations lower than 10%. Compared to conventional liquid-liquid extraction (LLE), DLLME exhibited obvious advantages of simplicity, rapidity, stability and low solvent consumption, favouring the extraction of acids and ketones. This is the first application of the DLLME technique for the analysis of aroma compounds in soy sauce and is suitable for rapid determination of key aroma compounds like HDMF and HEMF, especially for routine detection and large batch analysis of soy sauce, which can provide reliable information for soy sauce flavor analysis.
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