Computational chemistry and green chemistry: Familiarizing chemistry students with the modes and benefits of promising synergies

被引:7
作者
Mammino, Liliana [1 ]
机构
[1] Univ Venda, Thohoyandou, South Africa
来源
SUSTAINABLE CHEMISTRY AND PHARMACY | 2022年 / 29卷
关键词
Computational modelling of molecules; Cross-area synergies for green chemistry; Green chemistry education; Molecular design for green chemistry; Student-friendly introduction to the bases of  molecular studies; AIDED MOLECULAR DESIGN; BIOCOMPATIBLE SOLVENT DESIGN; PHYSICAL-PROPERTIES; INTEGRATED SOLVENT; PRODUCT DESIGN; BENIGN; WATER; CHALLENGES; PREDICTION;
D O I
10.1016/j.scp.2022.100743
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Because of its nature as the science of substances, chemistry is bound to play major roles in the pursuit of sustainable development. Green chemistry outlines the framework of this role and its 12 principles express objectives simultaneously constituting implementation guidelines. Tackling the challenges posed by the pursuit of sustainability is likely to become an increasingly permeating component of chemists' professional activities, and future chemists need to be adequately prepared for it. The principles of green chemistry entail the design of substances and processes that are inherently benign to human health and to the environment (benign-by-design concept). Computational chemistry constitutes a major resource for the design of molecules having desired properties. However, students' exposure to the potentialities and practices of this type of cross area synergies remains largely inadequate. The paper discusses the importance of adequate exposure and outlines possible routes to facilitate it in a student-friendly and constructive way.
引用
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页数:14
相关论文
共 95 条
[11]   Sustainability Assessment of Mechanochemistry by Using the Twelve Principles of Green Chemistry [J].
Ardila-Fierro, Karen J. ;
Hernandez, Jose G. .
CHEMSUSCHEM, 2021, 14 (10) :2145-2162
[12]   Combinatorial and computational challenges for biocatalyst design [J].
Arnold, FH .
NATURE, 2001, 409 (6817) :253-257
[13]   Computer-aided molecular design: An introduction and review of tools, applications, and solution techniques [J].
Austin, Nick D. ;
Sahinidis, Nikolaos V. ;
Trahan, Daniel W. .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2016, 116 :2-26
[14]   Continuous-Molecular Targeting for Integrated Solvent and Process Design [J].
Bardow, Andre ;
Steur, Klaas ;
Gross, Joachim .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2010, 49 (06) :2834-2840
[15]   Optimal design of adsorbents for NORM removal from produced water in natural gas fracking. Part 2: CAMD for adsorption of radium and barium [J].
Benavides, Pahola T. ;
Gebreslassie, Berhane H. ;
Diwekar, Urmila M. .
CHEMICAL ENGINEERING SCIENCE, 2015, 137 :977-985
[16]  
Bueno O.V.M., 2021, GREEN CHEM COMPUTATI, P215
[17]   A hierarchical method to integrated solvent and process design of physical CO2 absorption using the SAFT- Mie approach [J].
Burger, Jakob ;
Papaioannou, Vasileios ;
Gopinath, Smitha ;
Jackson, George ;
Galindo, Amparo ;
Adjiman, Claire S. .
AICHE JOURNAL, 2015, 61 (10) :3249-3269
[18]  
Bushelyev S.N., 1989, ELEKT STRUKTURA BIOL
[19]  
Castro Sanchez M.E., 2021, GREEN CHEM COMPUTATI, P193
[20]   Environmentally-benign transition metal catalyst design using optimization techniques [J].
Chavali, S ;
Lin, B ;
Miller, DC ;
Camarda, KV .
COMPUTERS & CHEMICAL ENGINEERING, 2004, 28 (05) :605-611