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首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Optimization of headspace solid-phase microextraction for the analysis of specific flavors in enzyme modified and natural Cheddar cheese using factorial design and response surface methodology
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Optimization of headspace solid-phase microextraction for the analysis of specific flavors in enzyme modified and natural Cheddar cheese using factorial design and response surface methodology

机译:使用因子设计和响应面方法优化顶空固相微萃取以分析酶改性和天然切达干酪中的特定风味

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A headspace solid-phase microextraction (HS-SPME) combined with gas chromatography-mass spectrometry (GC/MS) method was developed using experimental designs to quantify the flavor of commercial Cheddar cheese and enzyme-modified Cheddar cheese (EMCC). Seven target compounds (dimethyl disulfide, hexanal, hexanol, 2-heptanone, ethyl hexanoate, heptanoic acid, delta-decalactone) representative of different chemical families frequently present in Cheddar cheese were selected for this study. Three types of SPME fibres were tested: Carboxen/polydimethylsiloxane (CAR/PDMS), polyacrylate (PA) and Carbowax/divinylbenzene (CW/DVB). NaCl concentration and temperature, as well as extraction time were tested for their effect on the HS-SPME process. Two series of two-level full factorial designs were carried out for each fibre to determine the factors which best support the extraction of target flavors. Therefore, central composite designs (CCDs) were performed and response surface models were derived. Optimal extraction conditions for all selected compounds, including internal standards, were: 50 min at 55 degrees C in 3 M NaCl for CAR/PDMS, 64 min at 62 degrees C in 6 M NaCl for PA, and 37 min at 67 degrees C in 6 M NaCl for CW/DVB. Given its superior sensitivity, CAR/PDMS fibre was selected to evaluate the target analytes in commercial Cheddar cheese and EMCC. With this fibre, calibration curves were linear for all targeted compounds (from 0.5 to 6 mu g g(-1)), except for heptanoic acid which only showed a linear response with PA fibres. Detection limits ranged from 0.3 to 1.6 mu g g(-1) and quantification limits from 0.8 to 3.6 mu g g(-1). The mean repeatability value for all flavor compounds was 8.8%. The method accuracy is satisfactory with recoveries ranging from 97 to 109%. Six of the targeted flavors were detected in commercial Cheddar cheese and EMCC.
机译:利用实验设计开发了一种顶空固相微萃取(HS-SPME)与气相色谱-质谱(GC / MS)方法相结合的方法,以量化商业切达干酪和酶改性切达干酪(EMCC)的风味。选择了代表切达干酪中经常出现的不同化学家族的七个目标化合物(二硫化二甲基,己二酸,己醇,2-庚酮,己酸乙酯,庚酸,δ-十内酯)。测试了三种类型的SPME纤维:羧酸/聚二甲基硅氧烷(CAR / PDMS),聚丙烯酸酯(PA)和碳蜡/二乙烯基苯(CW / DVB)。测试了NaCl浓度和温度以及萃取时间对HS-SPME工艺的影响。对每种纤维进行了两个系列的两级全因子设计,以确定最能支持目标香料提取的因子。因此,进行了中央复合设计(CCD)并获得了响应面模型。所有选定化合物(包括内标物)的最佳提取条件为:在55摄氏度下于3 M NaCl中进行CAR / PDMS处理50分钟,在62摄氏度于6 M NaCl中进行PA处理64分钟,在67摄氏度下进行37分钟。用于CW / DVB的6 M NaCl。由于具有出色的灵敏度,因此选择了CAR / PDMS纤维来评估商用切达干酪和EMCC中的目标分析物。使用这种纤维,除了庚酸仅对PA纤维表现出线性响应外,所有目标化合物(0.5至6μg g(-1))的校准曲线均呈线性。检测限范围为0.3至1.6μg g(-1),定量限为0.8至3.6μg g(-1)。所有风味化合物的平均重复性值为8.8%。该方法的准确性令人满意,回收率在97%至109%之间。在商用切达干酪和EMCC中检测到六种目标风味。

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