Browsing Cranfield Health by Author "Argyri, Anthoula A."

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A comparison of artificial neural networks and partial least squares modelling for the rapid detection of the microbial spoilage of beef fillets based on Fourier transform infrared spectral fingerprints

Panagou, Efstathios Z.; Mohareb, Fady R.; Argyri, Anthoula A.; Bessant, Conrad M.; Nychas, George-John E. (Elsevier Science B.V., Amsterdam, 2011-06-30)

A series of partial least squares (PLS) models were employed to correlate spectral data from FTIR analysis with beef fillet spoilage during aerobic storage at different temperatures (0, 5, 10, 15, and 20°C) using the dataset ...
Quantifying meat spoilage with an array of biochemical indicators

Argyri, Anthoula A. (Cranfield University, 2010)

Freshness and safety of muscle foods are generally considered as the most important parameters for the food industry. It is crucial to validate and establish new rapid methods for the accurate detection of microbial ...
Rapid qualitative and quantitative detection of beef fillets spoilage based on Fourier transform infrared spectroscopy data and artificial neural networks

Argyri, Anthoula A.; Panagou, Efstathios Z.; Tarantilis, P. A.; Polysiou, M.; Nychas, George-John E. (Elsevier, 2009)

A machine learning strategy in the form of a multilayer perceptron (MLP) neural network was employed to correlate Fourier transform infrared (FTIR) spectral data with beef spoilage during aerobic storage at chill and abuse ...

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