Automated Author ProfileErliza NOOR
Erliza NOOR
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract Applewood (Feronia limonia) or ‘Kawista’ in Indonesia is a rare plant with a unique flavor. The research objective is to optimize the extraction process to get the best Applewood Flavor Extract (AFE) using a mono-factor design. Extraction was carried out in two stages; firstly, it was maceration with dichloromethane, glycerin, and alcohol solvents. Secondly, liquid-liquid extraction (LLE) with dichloromethane solvent. The best results are based on sensory values , and UV-Vis analysis on maceration alcohol (70%) is 18 hours with stirring. The best LLE at 12 hours was obtained from alcohol-dichloromethane (ALC-DCM) extract with a yield 28.55% fruit pulp base. The ALC-DCM extract was then analyzed by the chemical components of GC-MS, LC-MS/MS, and sensory of the Quantitative Descriptive Analysis (QDA) method. GC-MS analysis succeeded in characterizing 91 volatile compounds. LLE technique of ALC-DCM extract can increase the absorption of ester compounds by 66.67% compare with dichloromethane (DCM) extract. There are 30 organic compounds from LC-MS/MS analysis. The volatile chemical marker on ALC-DCM extract with Principal Component Analysis (PCA) is the ester, and the aroma marker from QDA is apple-like and vinegar.
Authors
- Agus SUYANTO ;
- Erliza NOOR ;
- Meika Syahbana RUSLI ;
- FAHMA, Farah
Abstract Applewood (Feronia limonia) or ‘Kawista’ in Indonesia is a rare plant with a unique flavor. The research objective is to optimize the extraction process to get the best Applewood Flavor Extract (AFE) using a mono-factor design. Extraction was carried out in two stages; firstly, it was maceration with dichloromethane, glycerin, and alcohol solvents. Secondly, liquid-liquid extraction (LLE) with dichloromethane solvent. The best results are based on sensory values , and UV-Vis analysis on maceration alcohol (70%) is 18 hours with stirring. The best LLE at 12 hours was obtained from alcohol-dichloromethane (ALC-DCM) extract with a yield 28.55% fruit pulp base. The ALC-DCM extract was then analyzed by the chemical components of GC-MS, LC-MS/MS, and sensory of the Quantitative Descriptive Analysis (QDA) method. GC-MS analysis succeeded in characterizing 91 volatile compounds. LLE technique of ALC-DCM extract can increase the absorption of ester compounds by 66.67% compare with dichloromethane (DCM) extract. There are 30 organic compounds from LC-MS/MS analysis. The volatile chemical marker on ALC-DCM extract with Principal Component Analysis (PCA) is the ester, and the aroma marker from QDA is apple-like and vinegar.
Authors
- Agus SUYANTO ;
- Erliza NOOR ;
- Meika Syahbana RUSLI ;
- FAHMA, Farah