Penaeus orientolis prawn freshness rapid determination method based on electronic nose and non-linear stochastic resonance technique.
Bioengineered
; 6(1): 42-52, 2015.
Article
en En
| MEDLINE
| ID: mdl-25551520
ABSTRACT
In this paper, Penaeus orientolis prawn freshness rapid determination method using electronic nose (e-nose) and non-linear data processing technique is studied. E-nose responses to prawns stored at 4 °C are measured. Meanwhile, physical/chemical indexes (firmness, pH, total volatile basic nitrogen (TVB-N), total viable count (TVC), and human sensory evaluation) are examined to provide freshness references for e-nose analysis. E-nose measurement data is analyzed by principal component analysis (PCA), stochastic resonance (SR), and double-layered cascaded serial stochastic resonance (DCSSR). PCA partially discriminates prawns under different storage time. SR and DCSSR signal-to-noise ratio (SNR) spectrum eigen values discriminate prawns successfully. Multi-variables regressions (MVR) are conducted between physical/chemical indexes and SR/DCSSR output SNR minimal (SNR-Min) values. Results indicate that SNR-Min values present more significant linearity relation with physical/chemical indexes. Prawn freshness forecasting model is developed via Harris fitting regression on DCSSR SNR-Min values. Validating experiments demonstrate that forecasting accuracy of this model is 94.29%.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Mariscos
/
Olfato
/
Penaeidae
/
Análisis de los Alimentos
Tipo de estudio:
Evaluation_studies
/
Prognostic_studies
Límite:
Adult
/
Animals
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
Bioengineered
Año:
2015
Tipo del documento:
Article
País de afiliación:
China