A model for discrimination freshness of shrimp
The shrimp is popular for its nutrition and dainty, however, it is easy to decay, and its freshness degrades, so, it is important to assess its freshness. The shrimp gives off unpleasant odor with its freshness change, detecting its odor difference can evaluate its freshness. The feasibility of usin...
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doaj-46bce13d715b40f796210d4d6a1750b02020-11-24T22:05:55ZengElsevierSensing and Bio-Sensing Research2214-18042015-12-0162832A model for discrimination freshness of shrimpLinong Du0Chunxiang Chai1Meijuan Guo2Xiaoxiang Lu3College of Communication Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaCollege of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300134, China; Corresponding author.Hebei Food Inspection and Research Institute, Shijiazhuang 050091, ChinaCollege of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300134, ChinaThe shrimp is popular for its nutrition and dainty, however, it is easy to decay, and its freshness degrades, so, it is important to assess its freshness. The shrimp gives off unpleasant odor with its freshness change, detecting its odor difference can evaluate its freshness. The feasibility of using electronic nose for evaluating the freshness of shrimp (Penaeus vanmamei) is explored in this paper. The odor of shrimp, stored at 5 °C, was detected by the electronic nose. Combined with the sensory evaluation and TVBN, a model based on the electronic nose was constructed to evaluate the shrimp freshness. In principal components analysis, the first three principal components accounted for 86.97% of total variation, and they are used to establish a model to estimate the shrimp freshness with Fisher Liner Discriminant. The discriminant rates were 98.3% for 120 modeling sample data, and 91.7% for 36 testing sample data. The model could be easily used to evaluate the freshness of shrimp with better accuracy. Keywords: Electronic nose, Shrimp, Discriminant model, Freshnesshttp://www.sciencedirect.com/science/article/pii/S2214180415300283 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Linong Du Chunxiang Chai Meijuan Guo Xiaoxiang Lu |
spellingShingle |
Linong Du Chunxiang Chai Meijuan Guo Xiaoxiang Lu A model for discrimination freshness of shrimp Sensing and Bio-Sensing Research |
author_facet |
Linong Du Chunxiang Chai Meijuan Guo Xiaoxiang Lu |
author_sort |
Linong Du |
title |
A model for discrimination freshness of shrimp |
title_short |
A model for discrimination freshness of shrimp |
title_full |
A model for discrimination freshness of shrimp |
title_fullStr |
A model for discrimination freshness of shrimp |
title_full_unstemmed |
A model for discrimination freshness of shrimp |
title_sort |
model for discrimination freshness of shrimp |
publisher |
Elsevier |
series |
Sensing and Bio-Sensing Research |
issn |
2214-1804 |
publishDate |
2015-12-01 |
description |
The shrimp is popular for its nutrition and dainty, however, it is easy to decay, and its freshness degrades, so, it is important to assess its freshness. The shrimp gives off unpleasant odor with its freshness change, detecting its odor difference can evaluate its freshness. The feasibility of using electronic nose for evaluating the freshness of shrimp (Penaeus vanmamei) is explored in this paper. The odor of shrimp, stored at 5 °C, was detected by the electronic nose. Combined with the sensory evaluation and TVBN, a model based on the electronic nose was constructed to evaluate the shrimp freshness. In principal components analysis, the first three principal components accounted for 86.97% of total variation, and they are used to establish a model to estimate the shrimp freshness with Fisher Liner Discriminant. The discriminant rates were 98.3% for 120 modeling sample data, and 91.7% for 36 testing sample data. The model could be easily used to evaluate the freshness of shrimp with better accuracy. Keywords: Electronic nose, Shrimp, Discriminant model, Freshness |
url |
http://www.sciencedirect.com/science/article/pii/S2214180415300283 |
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