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Nondestructive measurement of total volatile basic nitrogen (TVB-N) in pork meat by integrating near infrared spectroscopy, computer vision and electronic nose techniques
Nondestructive measurement of total volatile basic nitrogen (TVB-N) in pork meat by integrating near infrared spectroscopy, computer vision and electronic nose techniques
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Nondestructive measurement of total volatile basic nitrogen (TVB-N) in pork meat by integrating near infrared spectroscopy, computer vision and electronic nose techniques

Huang, Lin ; Zhao, Jiewen ; Chen, Quansheng ; Zhang, Yanhua

Food chemistry, 2014-02, Vol.145, p.228-236 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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Classification of tea category using a portable electronic nose based on an odor imaging sensor array
Classification of tea category using a portable electronic nose based on an odor imaging sensor array
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Classification of tea category using a portable electronic nose based on an odor imaging sensor array

Chen, Quansheng ; Liu, Aiping ; Zhao, Jiewen ; Ouyang, Qin

Journal of pharmaceutical and biomedical analysis, 2013-10, Vol.84, p.77-83 [Periódico revisado por pares]

England: Elsevier B.V

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3
Instrumental intelligent test of food sensory quality as mimic of human panel test combining multiple cross-perception sensors and data fusion
Instrumental intelligent test of food sensory quality as mimic of human panel test combining multiple cross-perception sensors and data fusion
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Instrumental intelligent test of food sensory quality as mimic of human panel test combining multiple cross-perception sensors and data fusion

Ouyang, Qin ; Zhao, Jiewen ; Chen, Quansheng

Analytica chimica acta, 2014-09, Vol.841, p.68-76 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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4
Discrimination of green tea quality using the electronic nose technique and the human panel test, comparison of linear and nonlinear classification tools
Discrimination of green tea quality using the electronic nose technique and the human panel test, comparison of linear and nonlinear classification tools
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Discrimination of green tea quality using the electronic nose technique and the human panel test, comparison of linear and nonlinear classification tools

Chen, Quansheng ; Zhao, Jiewen ; Chen, Zhe ; Lin, Hao ; Zhao, De-An

Sensors and actuators. B, Chemical, 2011-11, Vol.159 (1), p.294-300 [Periódico revisado por pares]

Elsevier B.V

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5
Characterization of Volatile Organic Compounds of Vinegars with Novel Electronic Nose System Combined with Multivariate Analysis
Characterization of Volatile Organic Compounds of Vinegars with Novel Electronic Nose System Combined with Multivariate Analysis
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Characterization of Volatile Organic Compounds of Vinegars with Novel Electronic Nose System Combined with Multivariate Analysis

Guan, Binbin ; Zhao, Jiewen ; Lin, Hao ; Zou, Xiaobo

Food analytical methods, 2014, Vol.7 (5), p.1073-1082 [Periódico revisado por pares]

Boston: Springer-Verlag

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6
Vinegar Classification Based on Feature Extraction and Selection From Tin Oxide Gas Sensor Array Data
Vinegar Classification Based on Feature Extraction and Selection From Tin Oxide Gas Sensor Array Data
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Vinegar Classification Based on Feature Extraction and Selection From Tin Oxide Gas Sensor Array Data

Xiaobo, Zou ; Jiewen, Zhao ; Shouyi, Wu ; Xingyi, Huang

Sensors (Basel, Switzerland), 2003-04, Vol.3 (4), p.101-109 [Periódico revisado por pares]

Basel: MDPI AG

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7
Apple quality assessment by fusion three sensors
Apple quality assessment by fusion three sensors
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Apple quality assessment by fusion three sensors

Zou Xiaobo ; Zhao Jiewen

IEEE Sensors, 2005, 2005, p.4 pp.

IEEE

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