Characterization of olive oil classes using a Chemsensor and pattern recognition techniques

2002 ◽  
Vol 79 (11) ◽  
pp. 1103-1108 ◽  
Author(s):  
F. Peña ◽  
S. Cárdenas ◽  
M. Gallego ◽  
M. Valcárcel
Keyword(s):  
Pattern Recognition ◽  
Olive Oil ◽  
Pattern Recognition Techniques

scholarly journals Discrimination and identification of geographical origin virgin olive oil by an e-nose based on MOS sensors and pattern recognition techniques

2011 ◽  
Vol 25 ◽  
pp. 1137-1140 ◽  
Author(s):  
Z. Haddi ◽  
A. Amari ◽  
A. Ould. Ali ◽  
N. El Bari ◽  
H. Barhoumi ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Olive Oil ◽  
Geographical Origin ◽  
Virgin Olive Oil ◽  
Pattern Recognition Techniques

Characterization of Galician (N.W. Spain) quality brand potatoes: a comparison study of several pattern recognition techniques

The Analyst ◽  
2001 ◽  
Vol 126 (1) ◽  
pp. 97-103 ◽  
Author(s):  
P. M. Padín ◽  
R. M. Peña ◽  
S. García ◽  
C. Herrero ◽  
R. Iglesias ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Comparison Study ◽  
Pattern Recognition Techniques

Characterization of ultrasonics transducers using pattern recognition techniques

1992 ◽  
Vol 25 (3) ◽  
pp. 147
Author(s):  
J.W. Ekis ◽  
M.S. Obaidat ◽  
S.A. Bleha
Keyword(s):  
Pattern Recognition ◽  
Pattern Recognition Techniques

MULTISENSOR ARRAY AND PATTERN RECOGNITION TECHNIQUES FOR CHARACTERIZATION OF DIFFERENT MATE BRANDS

2002 ◽  
Author(s):  
D. RODRIGUEZ ◽  
A. BOSELLI ◽  
A. LAMAGNA ◽  
I. ELMI ◽  
S. ZAMPOLLI ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Pattern Recognition Techniques

Characterization of spatial patterns in river water quality using chemometric pattern recognition techniques

2012 ◽  
Vol 64 (4) ◽  
pp. 688-698 ◽  
Author(s):  
Nabeel M. Gazzaz ◽  
Mohd Kamil Yusoff ◽  
Mohammad Firuz Ramli ◽  
Ahmad Zaharin Aris ◽  
Hafizan Juahir
Keyword(s):  
Water Quality ◽  
Pattern Recognition ◽  
River Water ◽  
Spatial Patterns ◽  
River Water Quality ◽  
Pattern Recognition Techniques

Near Infrared Investigation of Some Lipid Extracts in Order to Ascertain Their Quality

1998 ◽  
Vol 6 (A) ◽  
pp. A285-A290 ◽  
Author(s):  
Gabriela Blagoi ◽  
Anca Bleotu ◽  
Madalina Puica ◽  
Mihaela Vasilescu ◽  
Mihaela Ilie
Keyword(s):  
Pattern Recognition ◽  
Chemical Composition ◽  
Olive Oil ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Quantitative Composition ◽  
Pattern Recognition Techniques ◽  
Qualitative And Quantitative ◽  
Olive Oils ◽  
Near Infrared Spectra

Lipid extracts that exhibit similar near infrared spectra due to their chemical composition were investigated to generate their fingerprint by using pattern recognition techniques. Sunflower, buckthorn, wheatgerm, chrysalis, and olive oils were checked for qualitative and quantitative composition by GC-MS techniques and then analysed by using an NIRSystems Pharma device. Good results were obtained for wheatgerm, chrysalis and buckthorn oil (the “quality areas” do not overlay), but contradictory results were obtained for sunflower and olive oil.

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