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International Journal of Food Properties Volume 22, 2019 - Issue 1
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Original Article

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

Xiaoguo Yinga College of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, P.R. ChinaView further author information
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Shanggui Denga College of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, P.R. ChinaCorrespondence[email protected]
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Bowei Zhub School of Information Engineering, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Linan, P.R. ChinaView further author information
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Feixiang Zhangb School of Information Engineering, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Linan, P.R. ChinaView further author information
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Xinyi Maob School of Information Engineering, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Linan, P.R. ChinaView further author information
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Jiayun Tub School of Information Engineering, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Linan, P.R. ChinaView further author information
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Xiaorong Ruanb School of Information Engineering, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Linan, P.R. ChinaView further author information
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Xiaomei Yib School of Information Engineering, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Linan, P.R. ChinaView further author information
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Jian Lib School of Information Engineering, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Linan, P.R. ChinaView further author information
&
Yuanyuan Gaob School of Information Engineering, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Linan, P.R. ChinaCorrespondence[email protected]
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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)

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