Saldana, D. A.; Starck, L.; Mougin, P.; Rousseau, B.; Pidol, L.; Jeuland, N.; Creton, B. Flash Point and Cetane Number Predictions for Fuel Compounds Using Quantitative Structure Property Relationship (QSPR) Methods. Energy Fuels 2011, 25, 9, 3900–3908.
Compound
| ID: | 517 | |
|---|---|---|
| Name: | methyl (9Z,12Z)-octadeca-9,12-dienoate | |
| Description: | ||
| Labels: | Esters | |
| CAS: | ||
| InChi Code: | InChI=1S/C19H34O2/c1-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19(20)21-2/h7-8,10-11H,3-6,9,12-18H2,1-2H3/b8-7-,11-10- |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 386.15 |
experimental value |
| 396.35 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 357.52 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 368.78 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 360.35 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 370.75 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 42.2 |
experimental value |
| 37.88 |
CN_SVM-GD: SVM-GD model for cetane number (Training set) |
| 38.93 |
CN_SVM-MD: SVM-MD model for cetane number (Training set) |
| 38.82 |
CN_NN-MD: NN-MD model for cetane number (Training set) |
| 55.21 |
CN_GRNN-MD: GRNN-MD model for cetane number (Training set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID7020843 | US EPA CompTox Dashboard |