Pérès C, Viallon C, Berdagué J L
Laboratoire Flaveur, INRA de Theix, Saint-Genès-Champanelle, France.
Anal Chem. 2001 Mar 1;73(5):1030-6. doi: 10.1021/ac001146j.
This work describes a new method for the rapid characterization of cheeses by solid-phase microextraction coupled with mass spectrometry (SPME-MS). After four types of fiber were tested and the main extraction parameters studied, the volatile components were extracted using a Carboxen/PDMS 75-microm fiber placed for 10 min at 20 degrees C in the headspace of the cheese. The substances adsorbed were then transferred directly from the injector to the inlet of a mass spectrometer through a 1-m deactivated silica capillary column heated to 210 degrees C. The mass spectra thus obtained without prior chromatographic separation formed a "fingerprint" of the analyzed sample. For data analysis, the mass fragments of each spectrum (45 < m/z < 150 amu) were considered as potential descriptors of the composition of the headspace of the cheeses. Stepwise discriminant analysis was used to select a limited number of mass fragments that afforded an operational classification of the batches of cheeses studied. This new method offers the advantage of minimizing thermal, mechanical, and chemical modifications of the matrix, thereby reducing the risk of analytical artifacts. SPME-MS provides a simple and effective approach to rapid quality control by analysis of the volatile fraction of foods.
这项工作描述了一种通过固相微萃取结合质谱法(SPME-MS)快速表征奶酪的新方法。在测试了四种类型的纤维并研究了主要萃取参数后,使用一根75微米的Carboxen/PDMS纤维在20摄氏度下于奶酪顶空放置10分钟来萃取挥发性成分。然后,吸附的物质通过一根加热至210摄氏度的1米去活化硅胶毛细管柱直接从进样器转移至质谱仪的进样口。如此获得的未经预先色谱分离的质谱图形成了被分析样品的“指纹”。对于数据分析,每个质谱图的质量碎片(45 < m/z < 150 amu)被视为奶酪顶空成分的潜在描述符。逐步判别分析用于选择有限数量的质量碎片,从而对所研究的奶酪批次进行有效分类。这种新方法的优点是将基质的热、机械和化学改性降至最低,从而降低分析假象的风险。SPME-MS通过分析食品的挥发性成分提供了一种简单有效的快速质量控制方法。