Construction of Brandy Age Model

doi:10.7506/spkx1002-6630-201321022

Abstract

Abstract:

Headspace solid-phase microextraction (HS-SPME) and gas chromatography coupled with mass spectrometry
(GC-MS) were used to analyze Changyu brandy aged for 0 to 6 years (a total of 42 samples), and the relationship between
the content of volatile components (X, independent variables) and brandy age (Y, dependent variable) was explored using
partial least square regression (PLS) for predictive modeling. The results showed that the PLS model could predict brandy
age through the optimal 28 volatiles as well as with a smaller subset consisting of ethyl esters and saturated alcohols.

Key words: brandy, age, partial least square regression (PLS)

CLC Number:

TS261.7

SONG Pu，LI Ji-ming，ZHANG Bao-chun，SUN Zu-li，ZHENG Xiang-ping，ZHAO Yu-ping. Construction of Brandy Age Model[J]. FOOD SCIENCE, 2013, 34(21): 107-110.

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