{"id":673,"date":"2021-10-05T10:50:30","date_gmt":"2021-10-05T08:50:30","guid":{"rendered":"https:\/\/compbat.eu\/?p=673"},"modified":"2021-10-14T10:53:14","modified_gmt":"2021-10-14T08:53:14","slug":"the-infographic-column-jyvaskyla","status":"publish","type":"post","link":"https:\/\/compbat.eu\/2021\/10\/05\/the-infographic-column-jyvaskyla\/","title":{"rendered":"The infographic column: Jyv\u00e4skyl\u00e4"},"content":{"rendered":"

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The JYU research team is involved in chemical synthesis of selected bioinspired molecules for redox flow batteries. The molecules have been identified in Steps 1 and 2 by TTK and Aalto. The most important property that guides the selection of molecules to be synthesized is the redox potential.<\/p>\n

In planning the synthetic route to the molecule, we will first sketch the route on paper or computer and then check for examples of similar reactions in the literature using a reaction database. This helps in understanding how other researchers have carried out similar reactions in the past, and may also suggest that there are problems with the planned route.<\/p>\n

The planned route is then tested in the laboratory. We purchase the starting materials from commercial suppliers, and test the first reactions in a small scale. The starting materials are introduced to the reaction vessel, allowed to react, and the product is then isolated and separated from other reaction components. Finally, the impure products are purified and separated from each other.<\/p>\n

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For purification, we use commercial column chromatography packages. Sometimes we are also able to purify the compounds by recrystallization.<\/p>\n

After purification we will check the identity and purity of the product by characterization with various instruments, such as nuclear magnetic resonance (NMR) and mass spectrometry. These techniques allow us to ensure that we have a correct molecular structure, and they will also give an indication of the purity of the product.<\/p>\n

In many cases, the first attempts at chemical synthesis will fail to provide the expected product. We will then analyze the situation and come up with alternative synthetic methods, and test them, until we reach a successful route to the desired molecule. We will then be able to scale up the synthesis so that sufficient amounts of material is available for electrochemical and stability tests.<\/p>\n

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The JYU research team is involved in chemical synthesis of selected bioinspired molecules for redox flow batteries. The molecules have been identified in Steps 1 and 2 by TTK and Aalto. The most important property that guides the selection of molecules to be synthesized is the redox potential. In planning the synthetic route to the […]<\/p>\n","protected":false},"author":6,"featured_media":676,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"

The TTK research team is involved in developing high-throughput screening (HTS) methods that enables the identification of promising candidates of water-soluble redox-active compounds for experimental synthesis and electrochemical characterization. The focus is on bioinspired molecules derived from vitamins and amino acids, which are promising candidate compounds for novel redox flow batteries (RFBs). Our general strategy along these lines is to build an initial database for two basic quantities relevant to RFBs (redox potentials and aqueous solubilities), and utilize various machine learning techniques to provide efficient screening methodology applicable for a large and diverse set of molecules.<\/span><\/p>

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Molecular design<\/b> via systematic variation of functional groups is the initial step in our approach. The molecular database is built in a combinatorial manner: We define various molecular frameworks and introduce substituents with broadly varying electronic and steric properties. In our developed protocol, we first generate the 3D structures of the molecules, which is followed by an extensive conformational analysis to find the energetically most favored molecular structures.<\/span><\/p>

\u00a0<\/p>

The redox potentials and aqueous solubilities are computed via an efficient composite protocol that employs a combination of various modelling tools ranging from simple force-field methods to advanced quantum chemical calculations, but also including semiempirical computational methods. Accurate <\/span>quantum chemical calculations<\/b> represent the computationally most demanding step of our protocol. These calculations are carried out using density functional theory (DFT) and we use high-performance computer facilities to obtain accurate electronic structure data.<\/span><\/p>

\u00a0<\/p>

The developed molecular database is used to train and validate various <\/span>machine learning<\/b> approaches in the next phase of the project. The molecular library is then expanded iteratively in terms of the number of molecules, as well as the diversity of molecular frameworks. This procedure will thus result in a <\/span>HTS tool<\/b> that is applicable to a large set of redox-active compounds and will assist the discovery of new prospective candidates for next generation flow batteries.<\/span><\/p>

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