Mukeba Christian Tshikala, Isamura Bienfait Kabuyaya, Mudogo Virima, Katshiatshia Haddy Mbuyi, Muya Jules Tshishimbi
Department of Chemistry, Faculty of Sciences, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Research Center for Theoretical Chemistry and Physics in Central Africa, Faculty of Science, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
J Mol Model. 2023 Jul 24;29(8):261. doi: 10.1007/s00894-023-05666-6.
Due to the expected decrease in the availability of conventional oils, numerous studies are currently underway to find complementary sources of energy. Among the explored avenue is that of biofuels. Ethyl valerate (ETV) and tripropionin (TPP) are two biofuels whose thermal decomposition has not received the attention it deserves. Herein, we have evaluated the bond dissociation enthalpies (BDHs) to predict how easy it is to break some bonds in these compounds, and subsequently contribute to revealing the initiation step in their combustion reactions. Our computations consistently predict C4-C5 and C1-C2 bonds in ETV and TPP as the weakest bonds, likely to break first and initiate the thermal decomposition of these two compounds, respectively. The conformational changes in ETV and TPP have only a small influence on the BDHs of 1 kcal/mol at M06-2X/6-311 + G(3df,2p). B3LYP and ωB97XD appear to be the most affordable methods for estimating BDHs at 6-31G(d,p) as they give good results for ETV (RMSD: 2.94 kcal/mol and 3.22 kcal/mol) and performed better than CBS-QB3 (RMSD: 3.64 kcal/mol). Using a larger basis set, the M06-2X (RMSD: 3.61 kcal/mol) and ωB97XD (RMSD: 3.51 kcal/mol) functionals are found to provide the most accurate predictions at 6-311 + G(3df,2p) as compared to G4MP2.
BDHs of ETV and TPP are computed using density functional theory (DFT) and quantum chemistry composite methods at 6-31G(d,p) and 6-311 + G(3df,2p) levels. Because of its reliability and accuracy in thermochemical calculations, the G4MP2 theory is used as a reference to gauge the performance of DFT methods. All the calculations were carried out using the Gaussian 09 program.
由于传统石油的可获取量预计会减少,目前正在进行大量研究以寻找补充能源。生物燃料就是其中一条被探索的途径。戊酸乙酯(ETV)和三丙酸甘油酯(TPP)是两种生物燃料,其热分解尚未得到应有的关注。在此,我们评估了键离解焓(BDH),以预测这些化合物中某些键断裂的难易程度,并进而有助于揭示其燃烧反应的引发步骤。我们的计算一致预测,ETV和TPP中的C4 - C5键和C1 - C2键分别是最薄弱的键,可能首先断裂并引发这两种化合物的热分解。在M06 - 2X/6 - 311 + G(3df,2p)水平下,ETV和TPP的构象变化对BDH的影响仅为1千卡/摩尔的小幅度变化。B3LYP和ωB97XD似乎是在6 - 31G(d,p)水平下估算BDH最经济实惠的方法,因为它们对ETV给出了良好的结果(均方根偏差:2.94千卡/摩尔和3.22千卡/摩尔),并且比CBS - QB3表现更好(均方根偏差:3.64千卡/摩尔)。使用更大的基组时,发现M06 - 2X(均方根偏差:3.61千卡/摩尔)和ωB97XD(均方根偏差:3.51千卡/摩尔)泛函在6 - 311 + G(3df,2p)水平下与G4MP2相比能提供最准确的预测。
使用密度泛函理论(DFT)和量子化学复合方法在6 - 31G(d,p)和6 - 311 + G(3df,2p)水平下计算ETV和TPP的BDH。由于G4MP2理论在热化学计算中的可靠性和准确性,将其用作衡量DFT方法性能的参考。所有计算均使用高斯09程序进行。
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