Litchi freshness rapid non-destructive evaluating method using electronic nose and non-linear dynamics stochastic resonance model

被引:18
|
作者
Ying, Xiaoguo [1 ]
Liu, Wei [1 ]
Hui, Guohua [1 ]
机构
[1] Zhejiang A & F Univ, Key Lab Forestry Intelligent Monitoring & Informa, Sch Informat Engn, Linan, Peoples R China
关键词
electronic nose; litchi freshness; non-destructive evaluation; stochastic resonance; signal-to-noise ratio; CHINENSIS SONN; PERICARP; ADULTERATION;
D O I
10.1080/21655979.2015.1011032
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
In this paper, litchi freshness rapid non-destructive evaluating method using electronic nose (e-nose) and non-linear stochastic resonance (SR) was proposed. EN responses to litchi samples were continuously detected for 6 d Principal component analysis (PCA) and non-linear stochastic resonance (SR) methods were utilized to analyze EN detection data. PCA method could not totally discriminate litchi samples, while SR signal-to-noise ratio (SNR) eigen spectrum successfully discriminated all litchi samples. Litchi freshness predictive model developed using SNR eigen values shows high predictive accuracy with regression coefficients R-2 = 0 .99396.
引用
收藏
页码:218 / 221
页数:4
相关论文
共 50 条
  • [1] Penaeus orientolis prawn freshness rapid determination method based on electronic nose and non-linear stochastic resonance technique
    Liu Wei
    Han Yuanyuan
    Cai Yanping
    Jin Jiaojiao
    Hui Guohua
    [J]. BIOENGINEERED, 2015, 6 (01) : 42 - 52
  • [2] Non-destructive egg freshness determination: an electronic nose based approach
    Dutta, R
    Hines, EL
    Gardner, JW
    Udrea, DD
    Boilot, P
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2003, 14 (02) : 190 - 198
  • [3] Non-Destructive Detection of Chicken Freshness Based on Electronic Nose Technology and Transfer Learning
    Xiong, Yunwei
    Li, Yuhua
    Wang, Chenyang
    Shi, Hanqing
    Wang, Sunyuan
    Yong, Cheng
    Gong, Yan
    Zhang, Wentian
    Zou, Xiuguo
    [J]. AGRICULTURE-BASEL, 2023, 13 (02):
  • [4] Non-destructive evaluation of pork freshness using a portable electronic nose (E-nose) based on a colorimetric sensor array
    Li, Huanhuan
    Chen, Quansheng
    Zhao, Jiewen
    Ouyang, Qin
    [J]. ANALYTICAL METHODS, 2014, 6 (16) : 6271 - 6277
  • [5] Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics
    Yang, Xiangzheng
    Chen, Jiahui
    Jia, Lianwen
    Yu, Wangqing
    Wang, Da
    Wei, Wenwen
    Li, Shaojia
    Tian, Shiyi
    Wu, Di
    [J]. SENSORS, 2020, 20 (07)
  • [6] Non-destructive evaluation of apple maturity using an electronic nose system
    Pathange, Lakshmi P.
    Mallikarjunan, Parameswarakumar
    Marini, Richard P.
    O'Keefe, Sean
    Vaughan, David
    [J]. JOURNAL OF FOOD ENGINEERING, 2006, 77 (04) : 1018 - 1023
  • [7] Non-destructive control of insulators and semiconductors by method of non-linear optics.
    Lebedeva, EL
    Gabrielian, VT
    Pirozerski, AL
    [J]. PROCEEDINGS OF THE SYMPOSIUM ON CRYSTALLINE DEFECTS AND CONTAMINATION: THEIR IMPACT AND CONTROL IN DEVICE MANUFACTURING II, 1997, 97 (22): : 424 - 430
  • [8] Intelligent Evaluation and Dynamic Prediction of Oysters Freshness with Electronic Nose Non-Destructive Monitoring and Machine Learning
    Wang, Baichuan
    Li, Yueyue
    Liu, Kang
    Wei, Guangfen
    He, Aixiang
    Kong, Weifu
    Zhang, Xiaoshuan
    [J]. Biosensors, 2024, 14 (10):
  • [9] Strange attractor and stochastic resonance in non-linear dynamics
    Karimov, A.R.
    Makeev, V.Yu.
    Reshetnyak, S.A.
    Shcheglov, V.A.
    [J]. 2001, Fizicheskij Institut im.
  • [10] Non-destructive detection of peanut off-flavors using an electronic nose
    Osborn, GS
    Lacey, RE
    Singleton, JA
    [J]. TRANSACTIONS OF THE ASAE, 2001, 44 (04): : 939 - 944