DocumentCode
2824511
Title
Identification of Sensory Quality of Rapid Fermented Fish Using Electronic Nose
Author
Yang, Xihong ; Xie, Wancui ; Zhang, Chaohua ; Wu, Haiyan ; Li, Sidong ; Yang, Lei
Author_Institution
Coll. of Food Sci. & Technol., Guangdong Ocean Univ., Zhanjiang, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
3
Abstract
In order to shorten the production cycle of traditional fermented fish, cured fish was fermented by Lactobacillus plantarum and Staphylococcus xylosus. Considering sensory quality of products affected the acceptance of consumer, electronic nose (E-nose) and sensory evaluation by human taste panel were used to analysis fish flavor. The results of principal component analysis (PCA) indicated the flavor quality of rapid fermented fish was close to the traditional fermented fish, even though cured fish had more response value of sensor. When traditional fermented fish was acted as standard, rapid fermented fish located nearer accepted range than cured fish by analysis of Statistical Quality Control (SQC). The result was explained by sensory evaluation of human taste panel: only cured fish had strong fishy smell, peculiar flavor of salted fish, and little aroma; traditional fermented fish had thick aroma and a little bad smell for oil oxidation; rapid fermented fish had obvious aroma. The result indicated that rapid fermentation for production of traditional fish was possible. The differences of flavor among three groups of fish were distinguished by E-nose, same as sensory evaluation. So E-nose acted as a new method could be successfully used in aroma identification of foods.
Keywords
electronic noses; food processing industry; principal component analysis; Lactobacillus plantarum fermentation; Staphylococcus xylosus fermentation; electronic nose; fermented fish quality; principal component analysis; sensory quality identification; statistical quality control; traditional fish production; Educational institutions; Electronic noses; Humans; Ice; Marine animals; Oceans; Principal component analysis; Production; Sensor arrays; Temperature sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5363781
Filename
5363781
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