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Classification of perfume products using gas chromatography mass sprectrometry pattern recognition

Perfume is a mixture of fragrant essential oils and aroma compounds, fixatives, and solvents used to give human body, objects, and living spaces a pleasant odour. Perfume compositions are mixture of natural and synthetic sources which consist of 100 or more components. The difference in composition...

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Main Authors: Tengku Ab. Ghani, Tengku Fazarina, Maarof, Hasmerya, Hasan, Mohamed Noor
Format: Article
Language:English
Published: Penerbit UTM Press 2014
Subjects:
QD Chemistry
Online Access:http://eprints.utm.my/id/eprint/59651/1/TengkuFazarina2014_ClassificationofPerfumeProductsUsingGas.pdf
http://eprints.utm.my/id/eprint/59651/
http://dx.doi.org/10.11113/mjfas.v10n3.266
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spelling my.utm.596512022-02-21T07:57:13Z http://eprints.utm.my/id/eprint/59651/ Classification of perfume products using gas chromatography mass sprectrometry pattern recognition Tengku Ab. Ghani, Tengku Fazarina Maarof, Hasmerya Hasan, Mohamed Noor QD Chemistry Perfume is a mixture of fragrant essential oils and aroma compounds, fixatives, and solvents used to give human body, objects, and living spaces a pleasant odour. Perfume compositions are mixture of natural and synthetic sources which consist of 100 or more components. The difference in composition of perfume is the main characteristics which can classify the perfume into several groups such as animal and plant sources. Therefore, correct identification of each perfume product composition is crucial in order to do the classification. The perfume products have been analyzed using gas chromatography mass spectrometry and chemometric technique. There are 34 samples of perfume products used in this article which is taken from different brand available around Skudai. Chemometric technique was applied in this research to simplify data obtained by allowing them to form classes to their respective groups. Two unsupervised pattern recognition technique namely principal component analysis (PCA) and cluster analysis were used. The perfume product samples investigated in this research can be classified into two main groups namely animal and plant sources. Principal component analysis (PCA) and cluster analysis were successfully used in classifying the perfume product according to their respective groups based on the compositional information from the chromatogram of each samples. Penerbit UTM Press 2014-07 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/59651/1/TengkuFazarina2014_ClassificationofPerfumeProductsUsingGas.pdf Tengku Ab. Ghani, Tengku Fazarina and Maarof, Hasmerya and Hasan, Mohamed Noor (2014) Classification of perfume products using gas chromatography mass sprectrometry pattern recognition. Malaysian Journal of Fundamental and Applied Science, 10 (3). pp. 124-128. ISSN 2289-5981 http://dx.doi.org/10.11113/mjfas.v10n3.266 DOI:10.11113/mjfas.v10n3.266
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QD Chemistry
spellingShingle QD Chemistry
Tengku Ab. Ghani, Tengku Fazarina
Maarof, Hasmerya
Hasan, Mohamed Noor
Classification of perfume products using gas chromatography mass sprectrometry pattern recognition
description Perfume is a mixture of fragrant essential oils and aroma compounds, fixatives, and solvents used to give human body, objects, and living spaces a pleasant odour. Perfume compositions are mixture of natural and synthetic sources which consist of 100 or more components. The difference in composition of perfume is the main characteristics which can classify the perfume into several groups such as animal and plant sources. Therefore, correct identification of each perfume product composition is crucial in order to do the classification. The perfume products have been analyzed using gas chromatography mass spectrometry and chemometric technique. There are 34 samples of perfume products used in this article which is taken from different brand available around Skudai. Chemometric technique was applied in this research to simplify data obtained by allowing them to form classes to their respective groups. Two unsupervised pattern recognition technique namely principal component analysis (PCA) and cluster analysis were used. The perfume product samples investigated in this research can be classified into two main groups namely animal and plant sources. Principal component analysis (PCA) and cluster analysis were successfully used in classifying the perfume product according to their respective groups based on the compositional information from the chromatogram of each samples.
format Article
author Tengku Ab. Ghani, Tengku Fazarina
Maarof, Hasmerya
Hasan, Mohamed Noor
author_facet Tengku Ab. Ghani, Tengku Fazarina
Maarof, Hasmerya
Hasan, Mohamed Noor
author_sort Tengku Ab. Ghani, Tengku Fazarina
title Classification of perfume products using gas chromatography mass sprectrometry pattern recognition
title_short Classification of perfume products using gas chromatography mass sprectrometry pattern recognition
title_full Classification of perfume products using gas chromatography mass sprectrometry pattern recognition
title_fullStr Classification of perfume products using gas chromatography mass sprectrometry pattern recognition
title_full_unstemmed Classification of perfume products using gas chromatography mass sprectrometry pattern recognition
title_sort classification of perfume products using gas chromatography mass sprectrometry pattern recognition
publisher Penerbit UTM Press
publishDate 2014
url http://eprints.utm.my/id/eprint/59651/1/TengkuFazarina2014_ClassificationofPerfumeProductsUsingGas.pdf
http://eprints.utm.my/id/eprint/59651/
http://dx.doi.org/10.11113/mjfas.v10n3.266
_version_ 1725972653007699968
score 13.211869

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