Original scientific paper

https://doi.org/10.33128/k.60.1.2

USING CHEMOMETRICS AND NEAR-INFRARED REFLECTANCE SPECTROSCOPY FOR DISCRIMINATION OF POULTRY MEAT AND PREDICTION OF CHOLESTEROL CONTENT

Robert Gąsior orcid.org/0000-0003-0221-1357 ; National Research Institute of Animal Production, 32-083 Balice n. Kraków, Poland
Wojciech Wróblewski orcid.org/0000-0001-5559-9055 ; National Research Institute of Animal Production, 32-083 Balice n. Kraków, Poland
Katarzyna Połtowicz ; National Research Institute of Animal Production, 32-083 Balice n. Kraków, Poland

Abstract

Four calibrations were made for cholesterol content in poultry meat (breasts and legs from chickens, cockerels, capons, and breasts and legs from geese). Standard uncertainties expressed as SECV (%, relative) for chickens, cockerels and capons were 9.2 for breasts and 7.8 for legs. These values for geese were 8.4 and 9.0, respectively. The discriminant method with the highest predictive ability, based on residuals RMSX Residents, was used to classify the samples. Classification accuracy values were good and ranged, on average, from 96.8% to 98%. The NIRS calibrations on cholesterol content in the breast and leg meat of chickens, capons, cockerels, as well as in the breast and leg meat of geese, are suitable for rapid routine analyses to use in practice.

Keywords

cholesterol; cross validation; uncertainty; NIRS

Hrčak ID:

209180

URI

https://hrcak.srce.hr/209180

Publication date:

19.11.2018.

Article data in other languages: croatian

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