Implementation of chemometrics for quality control and authentication of meat and meat products
Multivariate analysis has been established as a very powerful and effective tool in classifying and grouping individual products. Principal Component Analysis, Canonical analysis, Cluster and Partial Least Squares were found to be indispensable for classifying food products according to variety and/or geographical origin. Meat and meat products were correctly classified for authentication purposes to various groups following instrumental and/or sensory analyses.
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Agricultural produces: Synopsis of employed quality control methods for the authentication of foods and application of chemometrics for the classification of foods according to their variety or geographical origin Tzouros, N. E.; Arvanitoyannis, I. S. (2001)A review of quality control methods and applications of multivariate statistical techniques on the authentication and classification of agricultural products is presented. The products reported within the frame of this ...
Fragiadakis, M.; Papadrakakis, M. (2008)A critical review of the current state of the art of the computing practices adopted by the earthquake engineering community is presented. Advanced computational tools are necessary for estimating the demand on seismically ...
Diamanti, K.; Doukas, I.; Karamanos, S. A. (2011)The present paper focuses on the seismic analysis and design of horizontal-cylindrical and vertical-cylindrical pressure vessels. First, a comparison of the seismic provisions in ASME B&PV code and in EN 13445-3 is conducted ...