Tayebi Leila, Rahimi Rahmatollah, Akbarzadeh Ali Reza
Department of Chemistry, Iran University of Science and Technology, P.O. Box: 16846-13114Tehran, Islamic Republic of Iran.
ACS Omega. 2022 Nov 6;7(45):40869-40881. doi: 10.1021/acsomega.2c03724. eCollection 2022 Nov 15.
A reliable quantitative structure-property relationship (QSPR) model was established for predicting the evolution rate of CO photoreduction over porphyrin-based metal-organic frameworks (MOFs) as photocatalysts. The determination coefficient ( ) for both training and test sets was 0.999. The root-mean-squared error of prediction (RMSEP) obtained was 0.006 and 0.005 for training and test sets, respectively. Based on the proposed model, two porphyrin-based MOFs, Cu-PMOF and Co-PMOF, were designed, synthesized, and applied for CO photoreduction under UV-visible irradiation without any additional photosensitizer. The X-ray diffraction (XRD), diffuse reflectance spectroscopy (DRS), and Fourier transform infrared (FTIR) measurements revealed the successful formation of the porous MOFs. The N adsorption isotherms at 77 K showed a high Brunauer-Emmett-Teller (BET) surface area of 932.64 and 974.06 m·g for Cu-PMOF and Co-PMOF, respectively. Theoretical and experimental results showed that HCOOH evolution rates over Cu-PMOF and Co-PMOF were (127.80, 101.62 μmol) and (130.6, 103.47 μmol), respectively. These results were robust and satisfactory.
建立了一种可靠的定量结构-性质关系(QSPR)模型,用于预测基于卟啉的金属有机框架(MOF)作为光催化剂时CO光还原的演化速率。训练集和测试集的决定系数( )均为0.999。训练集和测试集获得的预测均方根误差(RMSEP)分别为0.006和0.005。基于所提出的模型,设计、合成了两种基于卟啉的MOF,即Cu-PMOF和Co-PMOF,并将其应用于紫外-可见光照射下的CO光还原,无需任何额外的光敏剂。X射线衍射(XRD)、漫反射光谱(DRS)和傅里叶变换红外(FTIR)测量表明成功形成了多孔MOF。77 K下的N吸附等温线显示,Cu-PMOF和Co-PMOF的Brunauer-Emmett-Teller(BET)表面积分别高达932.64和974.06 m·g 。理论和实验结果表明,Cu-PMOF和Co-PMOF上HCOOH的演化速率分别为(127.80,101.62 μmol)和(130.6,103.47 μmol)。这些结果可靠且令人满意。