Literature DB >> 25428208

Comparison of aroma-active volatiles and their sensory characteristics of mangosteen wines prepared by Saccharomyces cerevisiae with GC-olfactometry and principal component analysis.

Zuo Bing Xiao1, Jun Hua Liu, Feng Chen, Ling Ying Wang, Yun Wei Niu, Tao Feng, Jian Cai Zhu.   

Abstract

Mangosteen fruit is fermented with five different strains (i.e. GRE (Y1), Lalvin RC212 (Y2), Lalvin D254 (Y3), CGMCC2.23 (Y4) and CGMCC2.4 (Y5)) of the yeast Saccharomyces cerevisiae to make mangosteen wines. A total of 36 volatile compounds of the mangosteen wines were identified by gas chromatography-mass spectrometry and gas chromatography-pulsed flame photometric detection. A total of 35 odour-active compounds were identified by gas chromatography-olfactometry analysis and by the detection frequency (DF) method. The compounds with high DF values included ethyl octanoate, ethyl hexanoate and 3-methyl-2-butene-1-thiol. Principal component analysis was used to characterise the differences of the flavour profiles of those mangosteen wines. The result demonstrated that the samples could be divided into three groups that were associated closely with aroma-active compounds.

Entities:  

Keywords:  GC-MS; GC-PFPD; PCA; Saccharomyces cerevisiae; detection frequency; mangosteen wines

Mesh:

Substances:

Year:  2014        PMID: 25428208     DOI: 10.1080/14786419.2014.981185

Source DB:  PubMed          Journal:  Nat Prod Res        ISSN: 1478-6419            Impact factor:   2.861


  2 in total

Review 1.  Microbial bioinformatics for food safety and production.

Authors:  Wynand Alkema; Jos Boekhorst; Michiel Wels; Sacha A F T van Hijum
Journal:  Brief Bioinform       Date:  2015-06-16       Impact factor: 11.622

2.  Characterization of Volatile Component Changes in Jujube Fruits during Cold Storage by Using Headspace-Gas Chromatography-Ion Mobility Spectrometry.

Authors:  Lvzhu Yang; Jie Liu; Xinyu Wang; Rongrong Wang; Fang Ren; Qun Zhang; Yang Shan; Shenghua Ding
Journal:  Molecules       Date:  2019-10-30       Impact factor: 4.411

  2 in total

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