Classification of adipose tissue species using raman spectroscopy

被引：49

作者：

Beattie, J. Renwick

Bell, Steven E. J. ^{[1
]}

Borggaard, Claus

Fearon, Anna M.

Moss, Bruce W.

机构：

[1] Queens Univ Belfast, Sch Chem & Chem Engn, Belfast BT9 5AG, Antrim, North Ireland

[2] Danish Meat Res Inst, DK-4000 Roskilde, Denmark

[3] Queens Univ Belfast, Sch Agr & Food Sci, Belfast BT9 5AG, Antrim, North Ireland

来源：

LIPIDS | 2007年 / 42卷 / 07期

关键词：

Raman spectroscopy; gas chromatography; classification; speciation; adipose; fat; oil; lipid; fatty acid; triglyceride; FAME;

D O I：

10.1007/s11745-007-3059-z

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

In this study multivariate analysis of Raman spectra has been used to classify adipose tissue from four different species (chicken, beef, lamb and pork). The adipose samples were dissected from the carcass and their spectra recorded without further preparation. 102 samples were used to create and compare a range of statistical models, which were then tested on 153 independent samples. Of the classical multivariate methods employed, Partial Least Squares Discriminant Analysis (PLSDA) performed best with 99.6% correct classification of species in the test set compared with 96.7% for Principal Component Linear Discrimination Analysis (PCLDA). Kohenen and Feed-forward artificial neural networks compared well with the PLSDA, giving 98.4 and 99.2% correct classification, respectively.

引用

页码：679 / 685

页数：7

共 20 条

[11] Conformations, vibrational frequencies and Raman intensities of short-chain fatty acid methyl esters using DFT with 6-31G(d) and Sadlej pVTZ basis sets [J].