Development of a model using near-infrared reflectance spectroscopy for the determination of the chemical composition of fatty goose liver
2006
Locsmándi, L. | Kövér, G. | Bázár, G. | Szabó, A. | Romvári, R.
<p class=MsoNormal align=left style='text-align:left;mso-layout-grid-align: none;text-autospace:none'>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 R <sup>2</sup> 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 (R <sup>2</sup> =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.</p> <p class=MsoNormal> </p>
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