FLAVOR PROFILING OF BEER USING STATISTICAL TREATMENTS OF G.L.C. HEADSPACE DATA

Autor:	Etzer Chicoye, William C. Herwig, J. Raymond Helbert, Joseph T. Hoff
Rok vydání:	1978
Předmět:	Computerized databases chemistry.chemical_compound Chromatography chemistry Stepwise discriminant analysis Acetaldehyde food and beverages Food science Flavor
DOI:	10.1016/b978-0-12-169050-2.50015-6
Popis:	Using a salting-out concentration method, gas chromatographic headspace volatile profiling of beer was achieved on Porapak Q. The percent-of-total-peak-area (PTPA) data obtained were applied to beer flavor problems using several statistical treatments. Correlation of headspace profiles of 310 pairs of beers with corresponding triangular taste-panel results was found using t-statistics calculated from PTPA differences and pooled standard deviations obtained from a computerized database. Product uniformity was effectively evaluated with the aid of stepwise discriminant analysis. Regression analysis of acetaldehyde PTPA's and panel scores for staling flavor showed that acetaldehyde could be valuable as an index of beer staling.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::22c68c2d60ba50351c274e250c077615 https://doi.org/10.1016/b978-0-12-169050-2.50015-6 Zobrazit plný text záznamu