ANN modelling of agarwood oil significant chemical compounds for quality discrimination / Nurlaila Ismail
This thesis presents a new ANN modelling in discriminating agarwood oil quality using selected significant chemical compounds of the oil. In order to accomplish the work, the analyses have been carried out in two categories. The first category is the abundances pattern of odor chemical compounds obs...
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Institute of Graduate Studies, UiTM
2015
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| Online Access: | http://ir.uitm.edu.my/id/eprint/19333/ http://ir.uitm.edu.my/id/eprint/19333/1/ABS_NURLAILA%20ISMAIL%20TDRA%20VOL%207%20IGS%2015.pdf |
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uitm-19333 |
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eprints |
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uitm-193332018-06-12T07:47:52Z http://ir.uitm.edu.my/id/eprint/19333/ ANN modelling of agarwood oil significant chemical compounds for quality discrimination / Nurlaila Ismail Ismail, Nurlaila Malaysia This thesis presents a new ANN modelling in discriminating agarwood oil quality using selected significant chemical compounds of the oil. In order to accomplish the work, the analyses have been carried out in two categories. The first category is the abundances pattern of odor chemical compounds observation and investigation. The extraction of odor chemical compounds is done by solid phase micro-extraction (SPME). In this work two types of SPME fibers were used; divinylbenzenec a r b o x e n - p o l y d i m e t h y l s i l o x a n e ( D V B - C A R - P D M S ) and polydimethylsiloxane(PDMS) to analyze the odor compounds under three different sampling temperature conditions; 40˚C, 60˚C and 80˚C. A consistent abundances pattern of five significant odor chemical compounds as highlighted by Z-score were revealed. The compounds are 10-epi-ϒ-eudesmol, aromadendrane,β-agarofuran, α-agarofuran and ϒ-eudesmol. These odor chemical compounds are important as they contributed to the odor of high quality agarwood oils. Then the second category was performed by the extraction of the agarwood oil chemical compounds using gas chromatography-mass spectrometry (GC-MS). The identified compounds from SPME were used as marker compounds for agarwood oil quality discrimination using GC-MS data… Institute of Graduate Studies, UiTM 2015 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19333/1/ABS_NURLAILA%20ISMAIL%20TDRA%20VOL%207%20IGS%2015.pdf Ismail, Nurlaila (2015) ANN modelling of agarwood oil significant chemical compounds for quality discrimination / Nurlaila Ismail. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 7 (7). Institute of Graduate Studies, UiTM, Shah Alam. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Teknologi MARA |
| building |
UiTM Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
Malaysia |
| spellingShingle |
Malaysia Ismail, Nurlaila ANN modelling of agarwood oil significant chemical compounds for quality discrimination / Nurlaila Ismail |
| description |
This thesis presents a new ANN modelling in discriminating agarwood oil quality using selected significant chemical compounds of the oil. In order to accomplish the work, the analyses have been carried out in two categories. The first category is the abundances pattern of odor chemical compounds observation and investigation. The extraction of odor chemical compounds is done by solid phase micro-extraction (SPME). In this work two types of SPME fibers were used; divinylbenzenec a r b o x e n - p o l y d i m e t h y l s i l o x a n e ( D V B - C A R - P D M S ) and polydimethylsiloxane(PDMS) to analyze the odor compounds under three different sampling temperature conditions; 40˚C, 60˚C and 80˚C. A consistent abundances pattern of five significant odor chemical compounds as highlighted by Z-score were revealed. The compounds are 10-epi-ϒ-eudesmol, aromadendrane,β-agarofuran, α-agarofuran and ϒ-eudesmol. These odor chemical compounds are important as they contributed to the odor of high quality agarwood oils. Then the second category was performed by the extraction of the agarwood oil chemical compounds using gas chromatography-mass spectrometry (GC-MS). The identified compounds from SPME were used as marker compounds for agarwood oil quality discrimination using GC-MS data… |
| format |
Book Section |
| author |
Ismail, Nurlaila |
| author_facet |
Ismail, Nurlaila |
| author_sort |
Ismail, Nurlaila |
| title |
ANN modelling of agarwood oil significant chemical compounds for quality discrimination / Nurlaila Ismail |
| title_short |
ANN modelling of agarwood oil significant chemical compounds for quality discrimination / Nurlaila Ismail |
| title_full |
ANN modelling of agarwood oil significant chemical compounds for quality discrimination / Nurlaila Ismail |
| title_fullStr |
ANN modelling of agarwood oil significant chemical compounds for quality discrimination / Nurlaila Ismail |
| title_full_unstemmed |
ANN modelling of agarwood oil significant chemical compounds for quality discrimination / Nurlaila Ismail |
| title_sort |
ann modelling of agarwood oil significant chemical compounds for quality discrimination / nurlaila ismail |
| publisher |
Institute of Graduate Studies, UiTM |
| publishDate |
2015 |
| url |
http://ir.uitm.edu.my/id/eprint/19333/ http://ir.uitm.edu.my/id/eprint/19333/1/ABS_NURLAILA%20ISMAIL%20TDRA%20VOL%207%20IGS%2015.pdf |
| first_indexed |
2023-09-18T23:02:20Z |
| last_indexed |
2023-09-18T23:02:20Z |
| _version_ |
1777418256537092096 |