Figures & data
Table 1. Sensory scheme for evaluating the quality of winter bamboo shoots samples
Figure 3. Physical/chemical examination results: (a) weight loss; (b) microbial examination; (c) sensory evaluation
![Figure 3. Physical/chemical examination results: (a) weight loss; (b) microbial examination; (c) sensory evaluation](/cms/asset/f7025a4e-f588-4926-ad0b-4a41a9691a05/ljfp_a_1657446_f0003_b.gif)
Figure 4. EN sensor array original responses: (a) blank sample; (b) non-moldy shoots sample; (c) moldy shoots sample
![Figure 4. EN sensor array original responses: (a) blank sample; (b) non-moldy shoots sample; (c) moldy shoots sample](/cms/asset/90a018dd-cedf-4d66-a434-e0f79042038b/ljfp_a_1657446_f0004_oc.jpg)
Figure 5. PCA results of bamboo shoots samples stored for 8 days: (a) PCA results of raw EN measurement data; (b) sensor array optimization results; (c) PCA results of optimized EN measurement data
![Figure 5. PCA results of bamboo shoots samples stored for 8 days: (a) PCA results of raw EN measurement data; (b) sensor array optimization results; (c) PCA results of optimized EN measurement data](/cms/asset/fb8f00e3-1bab-4733-a12d-ebef594a75df/ljfp_a_1657446_f0005_oc.jpg)
Figure 6. Winter bamboo shoots freshness determination model development: (a) stochastic resonance output SNR curve; (b) Shoots freshness determination model based on linear fitting regression of SNR eigen values
![Figure 6. Winter bamboo shoots freshness determination model development: (a) stochastic resonance output SNR curve; (b) Shoots freshness determination model based on linear fitting regression of SNR eigen values](/cms/asset/30d4c040-cd8c-4865-95ea-2d22bbd39a42/ljfp_a_1657446_f0006_oc.jpg)
Table 2. Validating experiments results (√ = right; × = wrong; / = not calculated)