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Quantitative structure-odor relationships of aliphatic esters using topological indices
R D de Mello Castanho Amboni1, B da Silva Junkes, R A Yunes
1Departamento de Química, Universidade Federal de Santa Catarina, Campus Universitário, Trindade, Florianópolis (S.C.,), Brazil.
Journal of Agricultural and Food Chemistry
|August 24, 2000
Summary
Quantitative structure-activity relationship (QSAR) models were developed to predict the fruit odor of aliphatic esters. These models utilize molecular descriptors to identify key structural factors influencing scent, offering a simpler alternative to previous methods.
Area of Science:
- Computational Chemistry
- Cheminformatics
- Sensory Science
Background:
- Predicting molecular odor is crucial for various industries.
- Previous studies used complex methods like Hansch analysis and CoMFA.
- Understanding structure-odor relationships in aliphatic esters is an ongoing challenge.
Purpose of the Study:
- To develop a simpler and reliable Quantitative Structure-Activity Relationship (QSAR) model for predicting the fruit odor of aliphatic esters.
- To identify key molecular descriptors that determine the odor characteristics of these compounds.
- To compare the developed QSAR model with previously established methods.
Main Methods:
- Utilized 27 aliphatic esters with known odor evaluations.
- Selected topological, physicochemical, and quantum-chemical descriptors.
- Developed two correlation equations using specific molecular descriptors: S(C)(=)(O), (2)Kappa, T(-)(O)(-), and E(HOMO).
Main Results:
- Two significant QSAR equations were established to predict fruit odor.
- The models incorporate electrotopological-state, Kappa, topological-state indices, and highest occupied molecular orbital energy.
- The developed models demonstrated good predictive ability, validated by cross-validation (r(2)(cv)).
Conclusions:
- The developed QSAR models offer a simpler and reliable alternative for predicting the fruit odor of aliphatic esters.
- The identified molecular descriptors provide insights into the structural basis of ester odor.
- This approach can aid in the prediction and design of compounds with desired olfactory properties.