scholarly journals Hydroxy-fatty acid profiles of Legionella species: diagnostic usefulness assessed by principal component analysis.

1993 ◽  
Vol 31 (6) ◽  
pp. 1413-1419 ◽  
Author(s):  
E Jantzen ◽  
A Sonesson ◽  
T Tangen ◽  
J Eng
Keyword(s):  
Principal Component Analysis ◽  
Fatty Acid ◽  
Hydroxy Fatty Acid ◽  
Principal Component ◽  
Component Analysis ◽  
Fatty Acid Profiles ◽  
Diagnostic Usefulness ◽  
Legionella Species

scholarly journals Chemometric Approach to Fatty Acid Profiles in Soybean Cultivars by Principal Component Analysis (PCA)

2012 ◽  
Vol 17 (3) ◽  
pp. 184-191 ◽  
Author(s):  
Eui-Cheol Shin ◽  
Chung-Eun Hwang ◽  
Byong-Won Lee ◽  
Hyun-Tae Kim ◽  
Jong-Min Ko ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Fatty Acid ◽  
Principal Component ◽  
Component Analysis ◽  
Fatty Acid Profiles ◽  
Soybean Cultivars ◽  
Chemometric Approach

Chemometric approach to fatty acid profiles in Runner-type peanut cultivars by principal component analysis (PCA)

2010 ◽  
Vol 119 (3) ◽  
pp. 1262-1270 ◽  
Author(s):  
Eui-Cheol Shin ◽  
Brian D. Craft ◽  
Ronald B. Pegg ◽  
R. Dixon Phillips ◽  
Ronald R. Eitenmiller
Keyword(s):  
Principal Component Analysis ◽  
Fatty Acid ◽  
Principal Component ◽  
Component Analysis ◽  
Fatty Acid Profiles ◽  
Chemometric Approach ◽  
Peanut Cultivars

scholarly journals Distinguishing Coconut Oil from Coconut Paring Oil using Principle Component Analysis of Fatty Acid Data

CORD ◽  
2012 ◽  
Vol 28 (1) ◽  
pp. 5
Author(s):  
J.M.N. Marikkar
Keyword(s):  
Principal Component Analysis ◽  
Fatty Acid ◽  
Iodine Value ◽  
Coconut Oil ◽  
Principal Component ◽  
Component Analysis ◽  
Pca Analysis ◽  
Fatty Acid Data ◽  
Influencing Parameters ◽  
Iodine Values

A study was carried out to distinguish coconut oil from coconut pairing oil by the application of principal component analysis (PCA) to fatty acid compositional and iodine value data. Five samples of ordinary coconut oil extracted from five different batches of copra and five samples of coconut pairing oil obtained from five batches of dried coconut pairings were employed. Fatty acid composition and iodine values of oil samples were determined individually and the data were analyzed statistically. PCA analysis showed that lauric and oleic acid contents and iodine value data are the most influencing parameters to discriminate coconut oil from coconut pairing oil. Hence, the application of PCA to fatty acid compositional and iodine value data was successful in distinguishing coconut oil from coconut pairing oil.

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