Abstract

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.

Keywords:

Colorimetric sensor array, density functional theory, fish freshness, SPME-GC/MS,

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