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RESEARCH PAPERS

Penaeus orientolis prawn freshness rapid determination method based on electronic nose and non-linear stochastic resonance technique

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Pages 42-52 | Received 23 Oct 2014, Accepted 25 Nov 2014, Published online: 27 Jan 2015

Figures & data

Figure 1. Physical/chemical index examination results: (a) firmness; (b) pH; (c) TVB-N; (d) TVC; (e) sensory evaluation.

Figure 1. Physical/chemical index examination results: (a) firmness; (b) pH; (c) TVB-N; (d) TVC; (e) sensory evaluation.

Table 1. Sensory scheme for evaluating the jumbo squid during the refrigerated storage

Figure 2. E-nose detecting results: (a) prawn sample measurement; (b) PCA result: PC1 VS. PC2; (c) PCA result: PC1, PC2 VS. PC3; (d) SR SNR spectrum; (e) DCSSR SNR spectrum; (f) freshness predicting model.

Figure 2. E-nose detecting results: (a) prawn sample measurement; (b) PCA result: PC1 VS. PC2; (c) PCA result: PC1, PC2 VS. PC3; (d) SR SNR spectrum; (e) DCSSR SNR spectrum; (f) freshness predicting model.

Table 2. Multiple variable regression between SR eigen values and physical/chemical indexes (F= 77.1599)

Table 3. Multiple variable regression between DCSSR eigen values and physical/chemical indexes (F= 109.66052)

Table 4. Freshness forecasting results (√ = right; x = wrong; / = not calculated)

Figure 3. E-nose system: (a) systematic diagram; (b) SR; (c) DCSSR.

Figure 3. E-nose system: (a) systematic diagram; (b) SR; (c) DCSSR.

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