Čačak : Univerzitet u Kragujevcu, Agronomski fakultet
Abstract
Bliska infracrvena spektroskopija (NIRS) se koristi za analizu hemijskih
svojstava poljoprivrednih proizvoda bez prethodne pripreme uzorka. U ovom radu
razvijen je kalibracioni model za merenje proteina i vlage za celo zrno i brašno stočnog
graška. Dobijeni spektri obrađeni su kombinovanjem matematičkih modela (PLSR,
MSC, prvog i drugog izvoda) i računate kalibracione greške. Greške pri merenju vlage
celog zrna su u granicama (od -0,8 do 0,8) i brašna (od -0,7 do 0,8); pri merenju
proteina celog zrna greške su (od -1,6 do 1,8) i brašna (od -2 do 2). Ovim ispitivanjem
se dokazalo da je moguće odrediti količine proteina i vlage pomoću NIRS metode a
dobijene greške se tolerišu i kalibracioni model je primenjiv u praksi.Near infrared spectroscopy (NIRS) is used to analyze the chemical properties of
agricultural products with no sample prepation. In this paper, a calibration model was
developed to measure protein and moisture of forage pea in the whole seed and flour.
The obtained spectra were processed by combining mathematical models (PLSR, MSC,
first and second derivative) and calculating calibration errors. Measuring errors of the
whole seed moisture are from (-0.8 to 0.8) and flour from (-0.7 to 0.8); measuring errors
of the whole seed protein are from (-1.6 to 1.8) and flour from (-2 to 2). This test proves
the possibility to determine protein and moisture via NIRS, errors are tolerated and the
calibration model is applicable
