Orlov, Alexey A. et al. published their research in Environmental Science & Technology in 2021 | CAS: 106-73-0

Methyl heptanoate (cas: 106-73-0) belongs to esters. Esters typically have a pleasant smell; those of low molecular weight are commonly used as fragrances and are found in essential oils and pheromones. Many esters have the potential for conformational isomerism, but they tend to adopt an s-cis (or Z) conformation rather than the s-trans (or E) alternative, due to a combination of hyperconjugation and dipole minimization effects. The preference for the Z conformation is influenced by the nature of the substituents and solvent, if present. Lactones with small rings are restricted to the s-trans (i.e. E) conformation due to their cyclic structure.HPLC of Formula: 106-73-0

Chemoinformatics-Driven Design of New Physical Solvents for Selective CO2 Absorption was written by Orlov, Alexey A.;Demenko, Daryna Yu.;Bignaud, Charles;Valtz, Alain;Marcou, Gilles;Horvath, Dragos;Coquelet, Christophe;Varnek, Alexandre;de Meyer, Frederick. And the article was included in Environmental Science & Technology in 2021.HPLC of Formula: 106-73-0 The following contents are mentioned in the article:

The removal of CO2 from gases is an important industrial process in the transition to a low-carbon economy. The use of selective phys. (co-)solvents is especially perspective in cases when the amount of CO2 is large as it enables one to lower the energy requirements for solvent regeneration. However, only a few phys. solvents have found industrial application and the design of new ones can pave the way to more efficient gas treatment techniques. Exptl. screening of gas solubility is a labor-intensive process, and solubility modeling is a viable strategy to reduce the number of solvents subject to exptl. measurements. In this paper, a chemoinformatics-based modeling workflow was applied to build a predictive model for the solubility of CO2 and four other industrially important gases (CO, CH4, H2, and N2). A dataset containing solubilities of gases in 280 solvents was collected from literature sources and supplemented with the new data for six solvents measured in the present study. A modeling workflow based on the usage of several state-of-the-art machine learning algorithms was applied to establish quant. structure-solubility relationships. The best models were used to perform virtual screening of the industrially produced chems. It enabled the identification of compounds with high predicted CO2 solubility and selectivity toward other gases. The prediction for one of the compounds, 4-methylmorpholine, was confirmed exptl. This study involved multiple reactions and reactants, such as Methyl heptanoate (cas: 106-73-0HPLC of Formula: 106-73-0).

Methyl heptanoate (cas: 106-73-0) belongs to esters. Esters typically have a pleasant smell; those of low molecular weight are commonly used as fragrances and are found in essential oils and pheromones. Many esters have the potential for conformational isomerism, but they tend to adopt an s-cis (or Z) conformation rather than the s-trans (or E) alternative, due to a combination of hyperconjugation and dipole minimization effects. The preference for the Z conformation is influenced by the nature of the substituents and solvent, if present. Lactones with small rings are restricted to the s-trans (i.e. E) conformation due to their cyclic structure.HPLC of Formula: 106-73-0

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics