Dispersive liquid-liquid microextraction coupled with gas chromatography-mass spectrometry (GC-MS) for the determination of soy sauce aroma compounds

化学 色谱法 芳香 分散剂 丙酮 质谱法 萃取(化学) 溶剂 气相色谱-质谱法 二氯甲烷 检出限 有机化学 食品科学 光学 物理 色散(光学)
作者
Ziming Xie,Dequan Zeng,Jingwen Wang,Mouming Zhao,Yunzi Feng
出处
期刊:Food Control [Elsevier BV]
卷期号:152: 109838-109838 被引量:17
标识
DOI:10.1016/j.foodcont.2023.109838
摘要

In 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 to 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 93 volatiles identified in the obtained extracts, with 87.1% (81 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 flavour analysis.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
怡然尔芙完成签到,获得积分10
1秒前
科研通AI6.4应助lst采纳,获得10
1秒前
2秒前
2秒前
小桔啊完成签到 ,获得积分10
3秒前
情怀应助故里采纳,获得10
3秒前
3秒前
JamesPei应助故里采纳,获得10
3秒前
li发布了新的文献求助10
3秒前
orixero应助故里采纳,获得10
3秒前
科研通AI6.2应助故里采纳,获得10
4秒前
4秒前
Moudexiao完成签到 ,获得积分10
4秒前
一山又一山完成签到,获得积分10
4秒前
银河完成签到,获得积分10
4秒前
小杰完成签到,获得积分10
4秒前
大力的图图完成签到,获得积分10
5秒前
Lbft发布了新的文献求助10
5秒前
sxr关注了科研通微信公众号
6秒前
FashionBoy应助虚幻的安青采纳,获得10
6秒前
Hamil发布了新的文献求助10
7秒前
孟宪岗发布了新的文献求助10
8秒前
drjj发布了新的文献求助10
8秒前
华仔应助FIND采纳,获得10
9秒前
此木发布了新的文献求助10
10秒前
10秒前
LVMIN完成签到,获得积分10
11秒前
11秒前
科研通AI6.2应助奥小棋采纳,获得10
11秒前
升龙击发布了新的文献求助10
11秒前
12秒前
12秒前
科研通AI6.3应助Hamil采纳,获得10
13秒前
Shamy发布了新的文献求助10
13秒前
13秒前
乐乐应助欢呼的巧蕊采纳,获得30
13秒前
文森特的向日葵完成签到,获得积分10
13秒前
Vincent完成签到,获得积分10
13秒前
Vi发布了新的文献求助30
13秒前
高分求助中
液晶指向矢仿真分析数据集 8888
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Advanced Memory Technology 500
Petrology and Plate Tectonics 500
Writing Systems 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6862533
求助须知:如何正确求助?哪些是违规求助? 8565734
关于积分的说明 18214488
捐赠科研通 6229515
什么是DOI,文献DOI怎么找? 3048110
关于科研通互助平台的介绍 2048749
邀请新用户注册赠送积分活动 2025750