Title of article :
Determination of Protein and Moisture in Fishmeal by Near-Infrared Reflectance Spectroscopy and Multivariate Regression Based on Partial Least Squares
Author/Authors :
Masoum، Saeed نويسنده Department of Analytical Chemistry, Faculty of Chemistry, University of Kashan, Kashan, I.R. IRAN , , Alishahi، Ali Reza نويسنده Department of Fisheries and Environmental Science, University of Tehran, Karaj, I.R. IRAN , , Farahmand، Hamid نويسنده Department of Fisheries and Environmental Science, University of Tehran, Karaj, I.R. IRAN , , Shekarchi ، Maryam نويسنده Laboratory of Food and Drug, Sanitary Ministry of Iran, Tehran, I.R. IRAN , , Prieto، Nuria نويسنده Estaci?n Agr?cola Experimental. CSIC. Finca Marzanas, 24346 Grulleros, Le?n, SPAIN ,
Issue Information :
فصلنامه با شماره پیاپی 63 سال 2012
Pages :
9
From page :
51
To page :
59
Abstract :
The potential of Near Infrared Reflectance Spectroscopy (NIRS) as a fast method to predict the Crude Protein (CP) and Moisture (M) content in fishmeal by scanning spectra between 1000 and 2500 nm using multivariate regression technique based on Partial Least Squares (PLS) was evaluated. The coefficient of determination in calibration (R2C) and Standard Error of Calibration (SEC) were 0.95 and 14.03 g / kg Dry Matter (DM) and 0.80 and 3.52 g / kg, for CP and M content, respectively. This study proved that the application of NIRS using PLS is well fitted to evaluate the protein and moisture content of fishmeal.
Journal title :
Iranian Journal of Chemistry and Chemical Engineering (IJCCE)
Serial Year :
2012
Journal title :
Iranian Journal of Chemistry and Chemical Engineering (IJCCE)
Record number :
682698
Link To Document :
بازگشت