Abstract
In this paper, a novel spinyhead croaker (Collichthys lucidus) quality analysis method using multi-walled carbon nanotubes (MWCNT) gas-ionization sensor array and stochastic resonance (SR) was proposed. The sensor array consisted of two MWCNT gas sensors. One was used as anodic sensor, and the other as cathodal sensor. Sensor array response to croakers under different storage time was measured. Responses of two MWCNT sensors were processed by SR. Signal-to-noise ratio (SNR) was utilized to characterize croaker quality. Meanwhile, total volatile basic nitrogen index was examined to provide quality reference to cold stored croaker samples in each day. Croaker quality was determined by SNR maximal values and its located noise intensities.
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