Heteropolymetallic [FeFe]-Hydrogenase Mimics: Synthesis and Electrochemical Properties.

Inorg Chem

Departamento de Química Orgánica I, Facultad de Química, Universidad Complutense, 28040 Madrid, Spain.

Published: February 2023

The synthesis and electrochemical properties of tetranuclear [FeS]-hydrogenase mimic species containing Pt(II), Ni(II), and Ru(II) complexes have been studied. To this end, a new tetranuclear [FeS] complex containing a 5,5'-diisocyanide-2,2'-bipyridine bridging ligand has been designed and coordinated to the metal complexes through the bipyridine moiety. Thus, the tetranuclear [FeS] complex () coordinates to Pt(II), Ni(II) and Ru(II) yielding the corresponding metal complexes. The new metal center in the bipyridine linker modulates the electronic communication between the redox-active [FeS] units. Thus, electrochemical studies and DFT calculations have shown that the presence of metal complexes in the structure strongly affect the electronic communication between the [FeS] centers. In the case of diphosphine platinum compounds , the structure of the phosphine ligand plays a crucial role to facilitate or to hinder the electronic communication between [FeS] moieties. Compound , bearing a dppe ligand, shows weak electronic communication (Δ = 170 mV), whereas the interaction is much weaker in the Pt-dppp derivative (Δ = 80 mV) and virtually negligible in the Pt-dppf complex . The electronic communication is facilitated by incorporation of a Ru-bis(bipyridine) complex, as observed in the BF salt (Δ = 210 mV) although the reduction of the [FeFe] centers occurs at more negative potentials. Overall, the experimental-computational procedure used in this work allows us to study the electronic interaction between the redox-active centers, which, in turn, can be modulated by a transition metal.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976291PMC
http://dx.doi.org/10.1021/acs.inorgchem.2c03355DOI Listing

Publication Analysis

Top Keywords

electronic communication
20
metal complexes
12
synthesis electrochemical
8
electrochemical properties
8
ptii niii
8
niii ruii
8
tetranuclear [fes]
8
[fes] complex
8
communication [fes]
8
electronic
6

Similar Publications

The growing number of connected devices in smart home environments has amplified security risks, particularly from Man-in-the-Middle (MitM) attacks. These attacks allow cybercriminals to intercept and manipulate communication streams between devices, often remaining undetected. Traditional rule-based methods struggle to cope with the complexity of these attacks, creating a need for more advanced, adaptive intrusion detection systems.

View Article and Find Full Text PDF

In the recent era, Lithium ion batteries plays a significant role in EV industry due to their high specific energy density, power density, low self-discharge rate, and prolonged lifespan. Modeling the battery precisely and estimating its State of Charge with great precision is essential to improve the performance of the lithium-ion batteries. Though numerous methods has been proposed for estimating the SOC, accurate estimation approach is not proposed yet since all these approaches consider the discrete-time dynamics of the battery.

View Article and Find Full Text PDF

Human-machine interaction has emerged as a revolutionary and transformative technology, bridging the gap between human and machine. Gesture recognition, capitalizing on the inherent dexterity of human hands, plays a crucial role in human-machine interaction. However, existing systems often struggle to meet user expectations in terms of comfort, wearability, and seamless daily integration.

View Article and Find Full Text PDF

An efficient deep learning system for automatic detection of Acute Lymphoblastic Leukemia.

ISA Trans

January 2025

Department of Electronics and Telecommunication, C. V. Raman Global University, Bhubaneswar 752054, Odisha, India. Electronic address:

Early and highly accurate detection of rapidly damaging deadly disease like Acute Lymphoblastic Leukemia (ALL) is essential for providing appropriate treatment to save valuable lives. Recent development in deep learning, particularly transfer learning, is gaining a preferred trend of research in medical image processing because of their admirable performance, even with small datasets. It inspires us to develop a novel deep learning-based leukemia detection system in which an efficient and lightweight MobileNetV2 is used in conjunction with ShuffleNet to boost discrimination ability and enhance the receptive field via convolution layer succession.

View Article and Find Full Text PDF

Objective: To evaluate levels of humanization, professional quality of life, resilience, communication skills, and the use of silence among healthcare professionals in these areas.

Methods: Observational, cross-sectional, and descriptive study conducted in a referral hospital. Data were collected from 152 healthcare professionals through questionnaires assessing professional quality of life (ProQOL), resilience (CD-RISC), humanization (HUMAS), communication skills (EHC-PS), and the use of silence (Q-SPS).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!