Statistical analysis for chemical compound based on several species of aquilaria essential oil

The paper examines the characterization of Aquilaria essential oils from different species, namely Aquilaria malaccensis, Aquilaria beccariana, Aquilaria crassna, and Aquilaria subintegra, renowned for agarwood production in Malaysia. Gas chromatography-mass spectrometry (GC-MS) and gas chromatograp...

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Main Authors: Noor Aida Syakira, Ahmad Sabri, Nik Fasha Edora, Nik Kamaruzaman, Nurlaila, Ismail, Zakiah, Mohd Yusoff, Almisreb, Ali Abd, Saiful Nizam, Tajuddin, Mohd Nasir, Taib
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science (IAES) 2024
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/44165/
http://umpir.ump.edu.my/id/eprint/44165/1/Statistical%20analysis%20for%20chemical%20compound.pdf
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author Noor Aida Syakira, Ahmad Sabri
Nik Fasha Edora, Nik Kamaruzaman
Nurlaila, Ismail
Zakiah, Mohd Yusoff
Almisreb, Ali Abd
Saiful Nizam, Tajuddin
Mohd Nasir, Taib
author_facet Noor Aida Syakira, Ahmad Sabri
Nik Fasha Edora, Nik Kamaruzaman
Nurlaila, Ismail
Zakiah, Mohd Yusoff
Almisreb, Ali Abd
Saiful Nizam, Tajuddin
Mohd Nasir, Taib
author_sort Noor Aida Syakira, Ahmad Sabri
building UMP Institutional Repository
collection Online Access
description The paper examines the characterization of Aquilaria essential oils from different species, namely Aquilaria malaccensis, Aquilaria beccariana, Aquilaria crassna, and Aquilaria subintegra, renowned for agarwood production in Malaysia. Gas chromatography-mass spectrometry (GC-MS) and gas chromatography-flame ionization detector (GC-FID) were employed for extracting essential oil data, facilitating compound identification. Subsequently, a preliminary analysis focused on classifying significant chemical compounds in the samples. The study then utilized boxplot pre-processing for visualizing and interpreting data distribution. The statistical analyses were performed using MATLAB software version R2021b, considering two key parameters which are the peak area (%) of significant chemical compounds and the classification of Aquilaria species (A. beccariana, A. malaccensis, A. crassna, and A. subintegra) based on their chemical composition. The results, presented through boxplot analyses, demonstrated a clear representation of the parameters and their distribution in the data. This method not only confirmed the potential of boxplot analysis in statistical evaluation of significant compounds in Aquilaria essential oil but also suggested its applicability for further classification work.
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institution Universiti Malaysia Pahang
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publisher Institute of Advanced Engineering and Science (IAES)
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spelling ump-441652025-07-15T03:53:08Z http://umpir.ump.edu.my/id/eprint/44165/ Statistical analysis for chemical compound based on several species of aquilaria essential oil Noor Aida Syakira, Ahmad Sabri Nik Fasha Edora, Nik Kamaruzaman Nurlaila, Ismail Zakiah, Mohd Yusoff Almisreb, Ali Abd Saiful Nizam, Tajuddin Mohd Nasir, Taib TP Chemical technology The paper examines the characterization of Aquilaria essential oils from different species, namely Aquilaria malaccensis, Aquilaria beccariana, Aquilaria crassna, and Aquilaria subintegra, renowned for agarwood production in Malaysia. Gas chromatography-mass spectrometry (GC-MS) and gas chromatography-flame ionization detector (GC-FID) were employed for extracting essential oil data, facilitating compound identification. Subsequently, a preliminary analysis focused on classifying significant chemical compounds in the samples. The study then utilized boxplot pre-processing for visualizing and interpreting data distribution. The statistical analyses were performed using MATLAB software version R2021b, considering two key parameters which are the peak area (%) of significant chemical compounds and the classification of Aquilaria species (A. beccariana, A. malaccensis, A. crassna, and A. subintegra) based on their chemical composition. The results, presented through boxplot analyses, demonstrated a clear representation of the parameters and their distribution in the data. This method not only confirmed the potential of boxplot analysis in statistical evaluation of significant compounds in Aquilaria essential oil but also suggested its applicability for further classification work. Institute of Advanced Engineering and Science (IAES) 2024-08 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/44165/1/Statistical%20analysis%20for%20chemical%20compound.pdf Noor Aida Syakira, Ahmad Sabri and Nik Fasha Edora, Nik Kamaruzaman and Nurlaila, Ismail and Zakiah, Mohd Yusoff and Almisreb, Ali Abd and Saiful Nizam, Tajuddin and Mohd Nasir, Taib (2024) Statistical analysis for chemical compound based on several species of aquilaria essential oil. International Journal of Electrical and Computer Engineering (IJECE), 14 (4). pp. 3663-3673. ISSN 2088-8708. (Published) http://doi.org/10.11591/ijece.v14i4.pp3663-3673 http://doi.org/10.11591/ijece.v14i4.pp3663-3673
spellingShingle TP Chemical technology
Noor Aida Syakira, Ahmad Sabri
Nik Fasha Edora, Nik Kamaruzaman
Nurlaila, Ismail
Zakiah, Mohd Yusoff
Almisreb, Ali Abd
Saiful Nizam, Tajuddin
Mohd Nasir, Taib
Statistical analysis for chemical compound based on several species of aquilaria essential oil
title Statistical analysis for chemical compound based on several species of aquilaria essential oil
title_full Statistical analysis for chemical compound based on several species of aquilaria essential oil
title_fullStr Statistical analysis for chemical compound based on several species of aquilaria essential oil
title_full_unstemmed Statistical analysis for chemical compound based on several species of aquilaria essential oil
title_short Statistical analysis for chemical compound based on several species of aquilaria essential oil
title_sort statistical analysis for chemical compound based on several species of aquilaria essential oil
topic TP Chemical technology
url http://umpir.ump.edu.my/id/eprint/44165/
http://umpir.ump.edu.my/id/eprint/44165/
http://umpir.ump.edu.my/id/eprint/44165/
http://umpir.ump.edu.my/id/eprint/44165/1/Statistical%20analysis%20for%20chemical%20compound.pdf