Sensitive Electrochemical Detection of Bioactive Molecules (Hydrogen Peroxide, Glucose, Dopamine) with Perovskites-Based Sensors

Perovskite-modified electrodes have received increasing attention in the last decade, due to their electrocatalytic properties to undergo the sensitive and selective detection of bioactive molecules, such as hydrogen peroxide, glucose, and dopamine. In this review paper, different types of perovskites involved for their electrocatalytic properties are described, and the proposed mechanism of detection is presented. The analytical performances obtained for different electroactive molecules are listed and compared with those in terms of the type of perovskite used, its nanostructuration, and its association with other conductive nanomaterials. The analytical performance obtained with perovskites is shown to be better than those of Ni and Co oxide-based electrochemical sensors. Main trends and future challenges for enlarging and improving the use of perovskite-based electrochemical sensors are then discussed.

RedDB, a Computational Database of Electroactive Molecules for Aqueous Redox Flow Batteries

An increasing number of electroactive compounds have recently been explored for their use in high-performance redox flow batteries for grid-scale energy storage. Given the vast and highly diverse chemical space of the candidate compounds, it is alluring to access their physicochemical properties in a speedy way. High-throughput virtual screening approaches, which use powerful combinatorial techniques for systematic enumerations of large virtual chemical libraries and respective property evaluations, are indispensable tools for an agile exploration of the designated chemical space. Herein, RedDB: a computational database that contains 31,677 molecules from two prominent classes of organic electroactive compounds, quinones and aza-aromatics, has been presented. RedDB incorporates miscellaneous physicochemical property information of the compounds that can potentially be employed as battery performance descriptors. RedDB’s development steps, including: i)chemical library generation, ii) molecular property prediction based on quantum chemical calculations, iii) aqueous solubility prediction using machine learning, and iv) data processing and database creation, have been described.

RedDB, a Computational Database of Electroactive Molecules for Aqueous Redox Flow Batteries

An increasing number of electroactive compounds have recently been explored for their use in high-performance redox flow batteries for grid-scale energy storage. Given the vast and highly diverse chemical space of the candidate compounds, it is alluring to access their physicochemical properties in a speedy way. High-throughput virtual screening approaches, which use powerful combinatorial techniques for systematic enumerations of large virtual chemical libraries and respective property evaluations, are indispensable tools for an agile exploration of the designated chemical space. Herein, RedDB: a computational database that contains 31,677 molecules from two prominent classes of organic electroactive compounds, quinones and aza-aromatics, has been presented. RedDB incorporates miscellaneous physicochemical property information of the compounds that can potentially be employed as battery performance descriptors. RedDB’s development steps, including: i)chemical library generation, ii) molecular property prediction based on quantum chemical calculations, iii) aqueous solubility prediction using machine learning, and iv) data processing and database creation, have been described.

Strategy for functionalization of electrodes with discrete, unmodified small molecules exhibiting aqueous stability

Immobilization of electroactive molecules without synthetic modification that are stable at neutral pH!

Multivalent fullerene/π-extended TTF electroactive molecules – non-covalent interaction with graphene and charge transfer implications

New multivalent [60]fullerene hexakis-adducts endowed with 12 or 24 π-exTTF electron donor units interact supramolecularly with exfoliated graphene revealing an efficient electronic communication confirmed by Raman and XPS studies.

A giant M2L3 metallo-organic helicate based on phthalocyanines as a host for electroactive molecules

An unprecedented phthalocyanine-based, metallo-organic helicate (Fe2Pc3) has been assembled and proved as a host for large redox-active guests such as fullerenes and naphthalenediimides.

From non-electroactive to electroactive species: highly selective and sensitive detection based on a dual-template molecularly imprinted polymer electrochemical sensor

A selective and sensitive detection of non-electroactive and electroactive molecules has been achieved on a dual-template imprinted electrochemical sensor. And the proposed dual-signal strategy can be used for highly sensitive detection of electroactive analytes.

Repeat protein scaffolds: ordering photo- and electroactive molecules in solution and solid state

An innovative approach is investigated in which a protein building block is designed to organize porphyrin molecules. The strategy is based on a modular protein unit with tunable properties including stability, function and self-assembly.