Development of a model using near-infrared reflectance spectroscopy for the determination of the chemical composition of fatty goose liver

Locsmándi, L. and Kövér, G. and Bázár, G. and Szabó, A. and Romvári, R. (2006) Development of a model using near-infrared reflectance spectroscopy for the determination of the chemical composition of fatty goose liver. Acta Alimentaria, 35 (4). pp. 455-463. ISSN 0139-3006

Text aalim.35.2006.4.9.pdf Restricted to Repository staff only until 31 December 2026. Download (151kB)

Abstract

The feasibility of NIR spectroscopy for determining chemical composition of goose fatty liver was studied. The spectra of 50 fresh, homogenized liver samples (ether extract content EE=53.2, SD=4.87%) were taken between 1100 and 2500 nm in reflectance mode, then the chemical composition and the fatty acid profile was measured (gas chromatography). Calibration equations were developed using modified partial least-squares regression. The R2 value in estimation of DM, CP and total EE were 0.72, 0.63 and 0.81, respectively. For the major fatty acids (oleic, palmitic and stearic acid, 51.4, 25.8 and 15.5% of total) the R² values were 0.94, 0.93 and 0.16. The estimation of the total saturated fatty acid (SAT) proportion and the so-called unsaturation index (UI) value was effective (R2 =0.81 and 0.79, respectively). The paper demonstrates the usefulness of the NIRS method as a fast and solvent free alternative of liver qualification. For practical purposes a larger number of fatty liver samples are needed.

Actions (login required)

Edit Item