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All Journal International Journal of Advances in Applied Sciences Bulletin of Electrical Engineering and Informatics
Amir Hussairi Zaidi
Universiti Teknologi MARA
Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Statistical analysis of agarwood oil chemical compound exists in four species of Aquilaria Amir Hussairi Zaidi; Anis Hazirah ‘Izzati Hasnu Al-Hadi; Siti Mariatul Hazwa Mohd Huzir; Zakiah Mohd Yusoff; Nurlaila Ismail; Ali Abd Almisreb; Saiful Nizam Tajuddin; Haji Mohd Nasir Taib
International Journal of Advances in Applied Sciences Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i3.pp727-736

Abstract

Aquilaria, renowned for its agarwood, and valued for its aromatic wood and rich resin, finds use in cosmetics, fragrances, incense, and medicine. Identifying the agarwood-producing species among 21 species of Aquilaria is challenging. This study analyzes chemical compounds in agarwood oil from 4 Aquilaria species: Aquilaria beccariana, Aquilaria crassna, Aquilaria malaccensis, and Aquilaria subintegra using gas chromatography-flame ionization detector (GC-FID). Statistical analysis explores compound abundance, employing methods like mean and Z-score tests. This analysis summarizes those 14 compounds that are consistently present based on zero and non-zero observations, and the Z-score test highlights five chemical compounds, with three compounds appearing in both analyses. These compounds can serve as a reference for future studies on Aquilaria species and agarwood oil, enhancing classification efforts.
Pre-processing technique of Aquilaria species from Malaysia for four different qualities Siti Mariatul Hazwa Mohd Huzir; Anis Hazirah 'Izzati Hasnu Al-Hadi; Amir Hussairi Zaidi; Nurlaila Ismail; Zakiah Mohd Yusoff; Mohamad Hushni Haron; Ali Abd Almisreb; Mohd Nasir Taib
Bulletin of Electrical Engineering and Informatics Vol 13, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i1.5577

Abstract

The paper interprets data distribution by using boxplot pre-processing in classify the quality of Agarwood oil for eleven chemical substances into four different qualities. The varieties usage of Agarwood oil makes it considered as an expensive and valuable product on the essential oil market. Perfumes, fragrances, incense, aromatherapy, and traditional medicine are the most popular Agarwood oil applications. However, the classification of Agarwood oil grades does not yet have standard grading method. This because it has been graded manually into different qualities by using human sensory evaluation. Boxplot analysis involving eleven chemical subtances that will be focusing in this study by concerned the quality for low, medium low, medium high and high. ɤ-eudesmol, ar-curcumene, β-dihydro agarofuran, ϒ-cadinene, α-agarofuran, allo aromadendrene epoxide, valerianol, α-guaiene, 10-epi-ɤ-eudesmol, β-agarofuran, and dihydrocollumellarin compounds are the selected significant compounds that represent the input for boxplot. Agarwood oil consist 660 data samples from low, medium low, medium high, and high quality. The result in this study showed that the four selected significant compounds (ɤ-eudesmol, 10-epi-ɤ-eudesmol, β-agarofuran, and dihydrocollumellarin) are important as a marker for Agarwood oil quality classification. The identification of chemical substances on high quality done as reference for future research studies.
Co-Authors Ali Abd Almisreb Anis Hazirah 'Izzati Hasnu Al-Hadi Anis Hazirah ‘Izzati Hasnu Al-Hadi Haji Mohd Nasir Taib Mohamad Hushni Haron Mohd Nasir Taib Nurlaila Ismail Saiful Nizam Tajuddin Siti Mariatul Hazwa Mohd Huzir Zakiah Mohd Yusoff