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

Bioengineered. 2015;6(4):218-21. doi: 10.1080/21655979.2015.1011032.

Abstract

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.

Keywords: electronic nose; litchi freshness; non-destructive evaluation; signal-to-noise ratio; stochastic resonance.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biosensing Techniques / instrumentation*
  • Biosensing Techniques / methods
  • Electronic Nose*
  • Food Analysis / instrumentation*
  • Food Analysis / methods
  • Fruit / chemistry*
  • Humans
  • Litchi / chemistry*
  • Nonlinear Dynamics
  • Principal Component Analysis
  • Signal-To-Noise Ratio
  • Stochastic Processes