会议专题

Analysis of aroma Compounds of different Yeast Strains & its molecular Identification by Bioinformatics

Sequence analysis of D1/D2 region of 26S rDNA was used for identification of different yeasts isolated from food-borne material. Then, their aromas compounds were detected and analyzed by SPME-GC-MS, another biology information technology.12 yeast strains were grouped in 7 species belonging to 5 genera as follows: Saccharomyces cerevisiae, Torulaspora delbrueckii, Kluyveromyces marxianus, Pichia cactophila, Clavispora lusitaniae, Pichia membranifaciens, and Pichia kudriavzevii. Among all yeast strains, most of volatiles were similar, but contents were affected by different strains. Strain Al (Saccharomyces cerevisiae) produced relatively higher aromas compounds than S6 (Kluyveromyces marxianus). The result of GC-MS showed ethyl octanoate and phenylethyl acetate were high-impact flavors by strain Al and S6, respectively. In conclusion, it is a reliable identification system to indentify food-borne yeasts at species level using 26S rDNA sequencing and phenotypic studies. SPMEGC/MS analysis highlights aroma compounds can be used for pre-screening potential edible yeast strains effectively.

yeast identification aroma compounds gas chromatography mass spectrometry

JinHai Huang ShiWen Zhuang JunShu Fu Chun-yang Wang Yue-Hui Sun Yi-fan Wang

College of Agriculture and Bioengineering, Tianjin University, Tianjin, China, 300072 College of Animal Science, Shandong Agricultural University, Taian, Shandong, China, 271018

国际会议

2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

成都

英文

25-30

2010-06-12(万方平台首次上网日期,不代表论文的发表时间)