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Abstract
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Article Information:
The Sensor Construct of Colorimetric Sensor Array for Rapid Evaluation of Fish Freshness
Haiyang Gu, Yanhui Sun, Huang Dai, Fangkai Han and Xingyi Huang
Corresponding Author: Xingyi Huang
Submitted: October 29, 2014
Accepted: December 18, 2014
Published: March 15, 2015 |
Abstract:
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A Colorimetric Sensor Array (CSA) system was developed for the evaluation of fish freshness using metalloporphyrin as sensor. SPME-GC/MS experiments were carried out to provided the VOCs component information for the theoretical investigation. Density Functional Theory (DFT) method at B3LYP/LANL2DZ level was performed to investigate the binding property between metalloporphyrin and VOCs to construct a proper CSA sensor for the evaluation of fish freshness. Finally, pattern recognition method was to evaluate the effect of metalloporphyrin on the detection of fish freshness. Result shows that the classification accuracy are 78.3, 78.3 and 81.7%, respectively for the data without MnP data, ZnP data and CoP data, respectively, 85.0 and 83.3% for the data without CuP data and FeP data. The evaluation result is good in agreement with the theoretical study. This research suggests that theoretical study is useful for the design of CSA sensor and the constructing CSA sensor will be helpful for quality evaluation of fish freshness.
Key words: Colorimetric sensor array, density functional theory, fish freshness, SPME-GC/MS, , ,
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Cite this Reference:
Haiyang Gu, Yanhui Sun, Huang Dai, Fangkai Han and Xingyi Huang, . The Sensor Construct of Colorimetric Sensor Array for Rapid Evaluation of Fish Freshness . Advance Journal of Food Science and Technology, (8): 631-637.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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