首页> 外文期刊>Talanta: The International Journal of Pure and Applied Analytical Chemistry >Multiple headspace solid-phase microextraction for quantifying volatile free fatty acids in cheeses
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Multiple headspace solid-phase microextraction for quantifying volatile free fatty acids in cheeses

机译:多重顶空固相微萃取定量奶酪中的挥发性游离脂肪酸

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Multiple headspace solid-phase microextraction (MHS-SPME) has been utilized for the quantitative determination of 9 volatile free fatty acids (FFAs) in cheeses, in combination with gas-chromatography and flame-ionization detection (GC-FID). Variables affecting HS-SPME and MHS-SPME were optimized to attain adequate sensitivity while allowing correct application of the MHS method. Thus, the MHS-SPME method was successfully performed when using 0.3 g of cheese and 1 mL of NaCl (sat. solution), which is subjected to four consecutive extractions using the carboxen-polydimethylsyloxane (CAR-PDMS) as the commercial SPME coating, 40 min of HS extraction time at 45 °C, and 6 min of desorption time in the GC injector at 290 °C. The MHS-SPME permitted the calculation of β values, which range from 0.72 ± 0.01-0.95 ± 0.02, depending on the cheese studied. Later, this β parameter is used to perform quantitation for the 9 volatile FFAs after just a single HS-SPME extraction, using an external solvent calibration curve. The validity of the utilization of an external solvent calibration was tested with aqueous standards of volatile FFAs, getting average recoveries higher than 81.2%. Quantitation by MHS-SPME was free of matrix interferences despite measuring a complex cheese sample. The optimized method was validated, presenting inter-day reproducibility values (as RSD in %) lower than 13%, and limits of detection down to 7 μg kg~(-1). The method was also compared with a conventional extraction method such as solid-phase extraction for the studied cheeses elaborated with goat milk, generating comparable results. To our knowledge, this is the first time that MHS-SPME has been applied to volatiles in cheeses.
机译:多次顶空固相微萃取(MHS-SPME)与气相色谱和火焰电离检测(GC-FID)结合用于定量测定奶酪中的9种挥发性游离脂肪酸(FFA)。优化影响HS-SPME和MHS-SPME的变量,以获得足够的灵敏度,同时允许正确应用MHS方法。因此,当使用0.3 g奶酪和1 mL NaCl(饱和溶液)对MHS-SPME方法进行成功​​时,使用羧甲基-聚二甲基硅氧烷(CAR-PDMS)作为商业SPME涂层进行四次连续萃取,在45°C下40分钟的HS萃取时间,在290°C下在GC进样器中的6分钟解吸时间。 MHS-SPME允许计算β值,其范围为0.72±0.01-0.95±0.02,具体取决于所研究的干酪。随后,使用外部溶剂校准曲线,仅在一次HS-SPME萃取后,使用此β参数对9种挥发性FFA进行定量。使用挥发性FFA的水性标准液测试了使用外部溶剂校准的有效性,平均回收率高于81.2%。尽管测量了复杂的奶酪样品,但通过MHS-SPME进行的定量分析没有基质干扰。验证了优化方法的有效性,其日间再现性值(以RSD计,%)低于13%,检出限低至7μgkg〜(-1)。还将该方法与常规提取方法(如固相提取)进行了比较,该方法采用山羊奶精制而成的研究奶酪,产生了可比的结果。据我们所知,这是MHS-SPME首次应用于奶酪中的挥发物。

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