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Rapid evaluation of chicken meat freshness using gas sensor array and signal analysis considering total volatile basic nitrogen
Rapid evaluation of chicken meat freshness using gas sensor array and signal analysis considering total volatile basic nitrogen
- Source :
- International Journal of Food Properties, Vol 23, Iss 1, Pp 297-305 (2020)
- Publication Year :
- 2020
- Publisher :
- Taylor & Francis Group, 2020.
-
Abstract
- Total volatile basic nitrogen (TVB-N) level rapid evaluation on chicken meat based on gas sensor array (GSA) technique was studied in this paper. GSA responses to chicken meat stored at 4°C were examined for 5 days. TVB-N content was synchronously measured by chemical examination. Principal component analysis (PCA) and non-linear double-layered cascaded serial stochastic resonance (DCSSR) were utilized for measurement data analysis. TVB-N examination results suggested that chicken meat stored for more than 3 days was not fresh. PCA showed poor discrimination abilities, while DCSSR signal-to-noise ratio (SNR) quantitatively characterized the freshness of all samples. Chicken meat TVB-N forecasting model was developed by non-linear fitting between SNR eigenvalues and TVB-N values. The predicting model was constructed. Validation experiment results demonstrated that the forecasting accuracy of the developed model reached 93.3%.
Details
- Language :
- English
- ISSN :
- 10942912 and 15322386
- Volume :
- 23
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- International Journal of Food Properties
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.44c932daceab4733b84a8b88ce4f43c0
- Document Type :
- article
- Full Text :
- https://doi.org/10.1080/10942912.2020.1716797