1988
DOI: 10.1021/jf00081a042
|View full text |Cite
|
Sign up to set email alerts
|

Multidimensional data analysis of essential oils. Application to ylang-ylang (Cananga odorata Hook Fil. et Thomson, Forma genuina) grades classification

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
10
0

Year Published

1993
1993
2020
2020

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 28 publications
(11 citation statements)
references
References 7 publications
1
10
0
Order By: Relevance
“…Table 1 contains the list of identified components, including calculated retention indices and determined volume fractions of components. In general the list of identified compounds agrees reasonably with the available results of analytical studies of ylang-ylang oil in the literature [15][16][17][18][19]. Note that we were able to identify about 30 additional compounds in comparison with previous results [18], such as pentyl acetate, sabinene, a-terpinolene, p-cymene, etc.…”
Section: Procedures Of Retention Filteringsupporting
confidence: 89%
See 1 more Smart Citation
“…Table 1 contains the list of identified components, including calculated retention indices and determined volume fractions of components. In general the list of identified compounds agrees reasonably with the available results of analytical studies of ylang-ylang oil in the literature [15][16][17][18][19]. Note that we were able to identify about 30 additional compounds in comparison with previous results [18], such as pentyl acetate, sabinene, a-terpinolene, p-cymene, etc.…”
Section: Procedures Of Retention Filteringsupporting
confidence: 89%
“…[12,13]. Gas chromatographic studies of ylang-ylang essential oil have been carried out by a number of other investigators [14][15][16][17][18][19].…”
Section: Methodsmentioning
confidence: 99%
“…LDA has been shown to perform well in classifying essential oils from chromatographic data 6 and the quality of soy sauce. 7 LDA, like PCA, extracts linear combinations of the data (canonical variables) but differs from PCA in that the membership of each group is given a priori and the canonical variables are chosen to have the greatest possible differences between the nominated groups.…”
Section: Linear Discriminant Analysis (Lda)mentioning
confidence: 99%
“…Many studies have been conducted to separate, identify and quantify the volatile components in YYEO through numerous instrumental analysis methods. Those studies investigated variations in compositions of YYEOs at different stages of growth, 1,9 geographical origins, parts of the flowers, extraction methods 10 and grades of the oils 6,7,11 . Furthermore, a study conducted has investigated the differences in the chemical profiles of YYEO from Comoros and Madagascar to differentiate the origins 3 .…”
Section: Introductionmentioning
confidence: 99%