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Original Article

Study of bamboo shoots quality by utilizing electronic nose sensor array and its optimization

, , , , , , , , & show all
Pages 1548-1561 | Received 13 Jun 2019, Accepted 13 Aug 2019, Published online: 03 Sep 2019

Figures & data

Table 1. Sensory scheme for evaluating the quality of winter bamboo shoots samples

Figure 1. Schematic diagram of EN system structure

Figure 1. Schematic diagram of EN system structure

Figure 2. Schematic diagram of stochastic resonance data analysis

Figure 2. Schematic diagram of stochastic resonance data analysis

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

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

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

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

Table 2. Validating experiments results (√ = right; × = wrong; / = not calculated)