Optimization of Headspace Solid-phase Microextraction for the Analysis of Volatile Compounds of High-fat Dairy Powders

被引:0
|
作者
Pelin Salum
Zafer Erbay
机构
[1] Adana Science and Technology University,Department of Food Engineering, Graduate School of Natural and Applied Sciences
[2] Adana Science and Technology University,Department of Food Engineering, Faculty of Engineering
来源
Food Analytical Methods | 2019年 / 12卷
关键词
SPME; Optimization; High-fat; Dairy powder; Cream; Enzyme-modified cheese; Response surface methodology;
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中图分类号
学科分类号
摘要
Optimization of main extraction parameters of the headspace solid-phase microextraction (SPME) method for two high-fat dairy powders with distinctly different volatile profiles was performed with response surface methodology. While cream powder (60% fat content) has a weak odor, enzyme-modified cheese powder (EMC) (35% fat content) is known with its intense flavor generated by high degrees of proteolysis and lipolysis. Extraction time, extraction temperature, and agitation speed were selected as optimization factors. Eight different volatile compounds isolated from cream powder and ten volatiles detected in EMC powder in varied molecular weight, boiling temperature, and organic classes were selected as optimization responses to express the overall extraction efficiency and volatile profile of powders. Optimization was performed to obtain the highest extraction efficiency for each response. It is suggested to use the SPME conditions at 56.2 °C for 70.8 min with 250 rpm for the isolation of volatiles in cream powder whereas the extraction temperature, time, and agitation speed were optimized for EMC powders as 53.4 °C, 63.2 min, and 250, respectively.
引用
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页码:2216 / 2225
页数:9
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