Optimization of Headspace Solid-Phase Microextraction (SPME) for the Odor Analysis of Surface-Ripened Cheese
Fifty volatile compounds of surface smear-ripened cheese were detected and identified using headspace solid-phase microextraction (HS-SPME) and vacuum distillation coupled to gas chromatography−mass spectrometry. Changes in the headspace of aroma compounds were monitored over the whole packaging per...
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Published in | Journal of agricultural and food chemistry Vol. 50; no. 13; pp. 3810 - 3817 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Washington, DC
American Chemical Society
19.06.2002
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Subjects | |
Online Access | Get full text |
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Summary: | Fifty volatile compounds of surface smear-ripened cheese were detected and identified using headspace solid-phase microextraction (HS-SPME) and vacuum distillation coupled to gas chromatography−mass spectrometry. Changes in the headspace of aroma compounds were monitored over the whole packaging period (47 days) using the HS-SPME method. Initially, the concentration of methanethiol increased before reaching a plateau. This evolution could be linked to the growth of Brevibacterium linens. During the shelf life of cheese, levels of acetic acid and 3-methylbutanoic acid remained constant, whereas butane-2,3-dione, 3-hydroxybutan-2-one, and hydroxypropan-2-one levels gradually declined and acetone and 3-methylbutanol levels dropped sharply to a plateau. Changes in odor could be related to changes of the rind, which behaved as a barrier, strongly influencing the distribution of volatile compounds in the headspace. Using a gas chromatography−olfactometry technique without separation, it was shown that the SPME extract was representative of the cheese odor. Keywords: Headspace; solid-phase microextraction; cheese; olfactometry; aroma compound |
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Bibliography: | istex:F677D562CC6150675464BE26B1611CA77F7CA8DD ark:/67375/TPS-ZBLC92Z5-2 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0021-8561 1520-5118 |
DOI: | 10.1021/jf0117107 |