Determination of Protein and Moisture in Fishmeal by Near-Infrared Reflectance Spectroscopy and Multivariate Regression Based on Partial Least Squares

被引：0

作者：

Masoum, Saeed ^{[1
]}

Alishahi, Ali Reza ^{[2
]}

Farahmand, Hamid ^{[2
]}

Shekarchi, Maryam ^{[3
]}

Prieto, Nuria ^{[4
]}

机构：

[1] Univ Kashan, Dept Analyt Chem, Fac Chem, Kashan, Iran

[2] Univ Tehran, Dept Fisheries & Environm Sci, Karaj, Iran

[3] Sanit Minist Iran, Lab Food & Drug, Tehran, Iran

[4] CSIC, Estn Agr Expt, Leon 24346, Spain

来源：

IRANIAN JOURNAL OF CHEMISTRY & CHEMICAL ENGINEERING-INTERNATIONAL ENGLISH EDITION | 2012年 / 31卷 / 03期

关键词：

Near-Infrared Reflectance Spectroscopy (NIRS); Protein; moisture; Partial least squares; Fishmeal; CHEMICAL-COMPOSITION;

D O I：

暂无

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

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 (R-C(2)) 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.

引用

页码：51 / 59

页数：9

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