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Raimi MA, Rajee AO, Gber TE, Arikpo TO, Pembere AMS, Louis H. Cobalt group transition metals (TM: Co, Rh, Ir) coordination of S-doped porphyrins (TM_S@PPR) as sensors for molecular SO 2 gas adsorption: a DFT and QTAIM study. J Mol Model 2024; 30:85. [PMID: 38411800 DOI: 10.1007/s00894-024-05879-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 02/13/2024] [Indexed: 02/28/2024]
Abstract
CONTEXT The intricate challenges posed by SO2 gas underscore the imperative for meticulous monitoring and detection due to its adverse effects on health, the environment, and equipment integrity. Hence, this research endeavors to delve deeply into the intricate realm of transition-metals functionalized sulfur-doped porphyrins (S@PPR) surfaces through a comprehensive computational study. The electronic properties revealed that upon adsorption, Ir_S@PPR surface reflects the least energy gap of 0.109 eV at the O-site of adsorptions, indicating an increase in electrical conductivity which is a better adsorption trait. Owing to the negative adsorption energy observed, the adsorption behavior is described as chemisorption, with the greatest adsorption energy of - 10.306 eV for Ir_S@PPR surface at the S-site of adsorption. Based on the mechanistic attributes, iridium-functionalized S@PPR surface is a promising detecting material towards the sensing of SO2 gas. This report will provide useful insight for experimental researchers in selecting and engineering materials to be used as detectors for SO2 gas pollutant. METHOD All theoretical investigations were carried out using density functional theory (DFT), calculated at PW6B95-D3/GenECP/Def2svp/LanL2DZ computational method.
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Affiliation(s)
- Monsurat Alarape Raimi
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
- Department of Chemistry, University of Ilorin, Ilorin, Nigeria
| | | | - Terkumbur E Gber
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
- Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai, India
| | - Temple Okah Arikpo
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
| | | | - Hitler Louis
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria.
- Centre for Herbal Pharmacology and Environmental Sustainability, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, 603103, Tamil Nadu, India.
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Manda T, Barasa GO, Louis H, Irfan A, Agumba JO, Lugasi SO, Pembere AMS. A data-guided approach for the evaluation of zeolites for hydrogen storage with the aid of molecular simulations. J Mol Model 2024; 30:43. [PMID: 38236500 DOI: 10.1007/s00894-024-05837-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 01/05/2024] [Indexed: 01/19/2024]
Abstract
CONTEXT This study employs a data-guided approach to evaluate zeolites for hydrogen storage, utilizing molecular simulations. The development of efficient and practical hydrogen storage materials is crucial for advancing clean energy technologies. Zeolites have shown promise as potential candidates due to their unique porous structure and tunable properties. However, the selection and design of suitable zeolites for hydrogen storage remain challenging. Therefore, this work aims to address this materials science question by utilizing molecular simulations and data-guided approaches to evaluate zeolites' performance for hydrogen storage. The results obtained from this study provide valuable insights into the evaluation of zeolites for hydrogen storage. Through molecular simulations, we analyze the adsorption behavior of hydrogen molecules in various zeolite structures. The performance of different zeolite frameworks in terms of hydrogen storage capacity, adsorption energy, and diffusion properties is assessed. Linde type A zeolite (LTA) had the highest capacity with a hydrogen capacity of 4.8wt% out of the 233 investigated zeolites. Furthermore, we investigate the influence of different factors such as mass (M), density (D), helium void fraction (HVF), accessible pore volume (APV), gravimetric surface area (GSA), and largest overall cavity diameter (Di) on the hydrogen storage performance of zeolites. The results show that Di, D, and M have a negative effect on the percentage weight capacity, while GSA and VSA have the highest positive contribution to the percentage weight. This study, therefore, provides new insights into the factors that affect their hydrogen storage capacity by exhibiting the importance of considering multiple factors when evaluating the performance of zeolites and demonstrates the potential of combining different computational methods to provide a more comprehensive understanding of materials. The current study contributes to the understanding of zeolite-based materials for hydrogen storage applications, aiding in the development of more efficient and practical hydrogen storage systems. METHODS Computational techniques were employed to investigate the hydrogen storage properties of zeolites. Molecular simulations were performed using classical force fields and molecular dynamics methods. The calculations were carried out at a force field level of theory with the GGA functional. To accurately capture the thermodynamics and kinetics of hydrogen adsorption, enhanced sampling techniques such as Monte Carlo simulations and molecular dynamics with metadynamics were utilized. We employed Grand Canonical Monte Carlo (GCMC) simulations to model hydrogen adsorption in zeolite structures for hydrogen storage. Our approach involved performing a substantial number of Monte Carlo steps (10,000) to ensure system equilibration and precise results. We defined a cutoff distance for particle interactions as 12.5 Ǻ and considered 0.000e framework charge per cell and 0.000e sorbate charge in energy calculations. The choice of an appropriate simulation cell size (50 × 50 × 50) Ǻ was crucial, mirroring real-world conditions. We specified lower and upper fugacity values (1 to 10 atm) to capture the range of gas pressures in the simulations. These methodical steps collectively enabled us to accurately model hydrogen adsorption within zeolites, forming the core of our hydrogen storage evaluation. In this research, we utilized DFT calculations to thoroughly investigate the interactions between zeolites and hydrogen. We employed pseudopotentials to describe electron behavior in zeolite systems, choosing them in line with DFT norms and basis set compatibility. Our simulation cell design replicated zeolite periodicity and eliminated boundary effects. Pre-geometry optimization was performed with HyperChem29, ensuring stable conformations with strict convergence criteria. We utilized 6-31 + G(d) and LanL2DZ basis sets for light and heavy atoms, aligning with field standards for computational efficiency and precision. A machine learning algorithm was used to rank the importance of various structural features such as mass (M), density (D), helium void fraction (HVF), accessible pore volume (APV), gravimetric surface area (GSA), and largest overall cavity diameter (Di) and how they affect the capacity of the zeolites. Machine learning analysis was performed with the Scikit-learn library, an open-source Python tool. We employed a range of machine learning models, including SVMs, random forests, and neural networks, primarily for data analysis and feature extraction. Pearson correlation analysis, a classical statistical technique, was used to evaluate linear relationships between variables and assess the strength and direction of these relationships. It served as a complementary tool to understand the interplay of variables in our dataset, distinguishing it from machine learning algorithms. Further quantum chemical calculations were also performed to calculate the adsorption energy, global reactivity electronic descriptors, and natural bond orbital analysis in order to provide insights into the interaction of the zeolites with hydrogen. The simulations and data analysis were performed using BIOVIA material studio software, Gaussian, and Origin Pro software.
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Affiliation(s)
- Timothy Manda
- Department of Physical Sciences, Jaramogi Oginga Odinga University of Science and Technology, P.O Box 210, Bondo, 40601, Kenya
| | - Godfrey Okumu Barasa
- Department of Physical Sciences, Jaramogi Oginga Odinga University of Science and Technology, P.O Box 210, Bondo, 40601, Kenya.
| | - Hitler Louis
- Computational Quantum Chemistry Research Group, Department of Pure and Applied Chemistry, Faculty of Physical Sciences, University of Calabar, Calabar, 1115, Nigeria
| | - Ahmad Irfan
- Department of Chemistry, College of Science, King Khalid University, 61413, Abha, Saudi Arabia
| | - John Onyango Agumba
- Department of Physical Sciences, Jaramogi Oginga Odinga University of Science and Technology, P.O Box 210, Bondo, 40601, Kenya
| | - Solomon Omwoma Lugasi
- Department of Physical Sciences, Jaramogi Oginga Odinga University of Science and Technology, P.O Box 210, Bondo, 40601, Kenya
| | - Anthony M S Pembere
- Department of Physical Sciences, Jaramogi Oginga Odinga University of Science and Technology, P.O Box 210, Bondo, 40601, Kenya
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Pembere AMS, Louis H, Wu H. Mechanism and dynamics of Baeyer-Villiger oxidation of furfural to maleic anhydride in presence of H 2O 2 and Au clusters. J Mol Model 2023; 29:359. [PMID: 37924368 DOI: 10.1007/s00894-023-05764-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 10/23/2023] [Indexed: 11/06/2023]
Abstract
CONTEXT The increasing demand for fuels and chemicals in the world has prompted the exploration of various forms of renewable energy resources. Using C5-based furfural as the platform to replace the fossil energy resources is greatly attractive because of its abundance and environmental friendliness. Here we study the activity, selectivity, and possible reaction pathways for the Baeyer-Villiger oxidation of furfural over small Au clusters using hydrogen peroxide as oxidant. Furfural reacts with hydrogen peroxide in the presence of the catalysts with 93% selectivity towards maleic anhydride. Natural population analysis, frontier molecular orbital analysis, and spectroscopic analysis are used to illustrate the interaction mechanism between C5H4O2, H2O2, and Au. Reaction pathways leading to the formation of maleic anhydride are also explored. The reaction of C5H4O2 with H2O2 in the absence of a catalyst bears a relatively high transition state energy barrier of 2.98 eV for the first step involving absorption of H atom of H2O2 on the -OH group of C5H4O2. This is in agreement with the blank experiment where there were rare oxidation products observed in the absence of the metal cluster catalysts. On the other hand, transition state energies in the presence of the Au metal clusters are lower and the most feasible pathway is where the substrate and H2O2 co-bind on the Au catalyst and H2O2 molecule transfers an oxygen to the substrate, leading to the cleavage of the O-O bond. METHODS DFT calculations were done with B3PW91 functional. 6-311G(df, p) basis set was used for C, O, and H and aug-cc-pVDZ-PP was used for gold atoms. Gaussian 09 software was used for the calculations. Multiwfn 3.7 dev was used for the quantum theory of atoms-in-molecules (QTAIM) investigations.
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Affiliation(s)
- Anthony M S Pembere
- Department of Physical Sciences, Jaramogi Oginga Odinga University of Science and Technology, P.O Box 210, Bondo, 40601, Kenya.
| | - Hitler Louis
- Department of Pure and Applied Chemistry, Faculty of Physical Sciences, University of Calabar, Calabar, 1115, Nigeria
- Centre for Herbal Pharmacology and Environmental Sustainability, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education,, Kelambakkam, Tamil Nadu 603103, India
| | - Haiming Wu
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.
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Louis H, Chukwuemeka K, Agwamba EC, Abdullah HY, Pembere AMS. Molecular simulation of Cu, Ag, and Au-decorated Si-doped graphene quantum dots (Si@QD) nanostructured as sensors for SO 2 trapping. J Mol Graph Model 2023; 124:108551. [PMID: 37399776 DOI: 10.1016/j.jmgm.2023.108551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 06/06/2023] [Accepted: 06/13/2023] [Indexed: 07/05/2023]
Abstract
In view of the numerous environmental hazards and health challenges linked to sulfur (iv) oxide (SO2), an indirect greenhouse gas, and the resultant need to develop efficient gas nanosensor devices, this research had as its principal focus on the theoretical evaluation of the gas sensing potential of metals: Ag, Au and Cu functionalized silicon-doped quantum dots (Si@QD) for the detection and adsorption of SO2 gas investigated using the first-principles density functional theory (DFT) computation at the B3LYP-D3(BJ)/def2-SVP level of theory. Eight (8) possible adsorption modes: SO2_O_Si@QD, SO2_O_Ag_Si@QD, SO2_O_Au_Si@QD, SO2_O_Cu_Si@QD, SO2_S_Si@QD, SO2_S_Ag_Si@QD, SO2_S_Au_Si@QD, and SO2_S_Cu_Si@QD were considered based on SO2 interactions with the studied materials at the -S and -O sites of the SO2 molecule. The counterpoise correction (BSSE) showed that five of the eight interactions had favorable Ead + BSSE values ranging from -0.31 to -1.98 eV. All the eight interactions were observed to be thermodynamically favorable with ΔG and ΔH ranging from -129.01 to -200.24 kcal/mol and -158.26 to -229.73 kcal/mol respectively. Results from the topology analysis reveal that van der Waals forces occurred the greatest at the gas-sensor interphase while SO2_S_ Cu_Si@QD is predicted to have the highest sensing potency based on the conductivity and recovery time estimations. These results confirm the potential efficient feasibility of real-world device application of the metals (Ag, Au, Cu) functionalized Si-doped QDs.
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Affiliation(s)
- Hitler Louis
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria; Department of Pure and Applied Chemistry, University of Calabar, Calabar, Nigeria; Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, 603103, Tamil Nadu, India.
| | - Kelechi Chukwuemeka
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria; Department of Chemical Sciences, Clifford University, Owerrinta, Nigeria
| | - Ernest C Agwamba
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria; Department of Chemistry, Covenant University, Ota, Nigeria
| | - Hewa Y Abdullah
- Physics Education Department, Tishk International University, Erbil, Iraq
| | - Anthony M S Pembere
- Department of Chemical Sciences, Jaramogi Odinga University of Science and Technology, Bondo, Kenya
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Benjamin I, Louis H, Ogungbemiro FO, Agurokpon DC, Ekpong BO, Gber TE, Pembere AMS. Single-atoms (N, P, S) encapsulation of Ni-doped graphene/PEDOT hybrid materials as sensors for H 2S gas applications: intuition from computational study. Sci Rep 2023; 13:18856. [PMID: 37914823 PMCID: PMC10620405 DOI: 10.1038/s41598-023-46153-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/28/2023] [Indexed: 11/03/2023] Open
Abstract
This comprehensive study was dedicated to augmenting the sensing capabilities of Ni@GP_PEDOT@H2S through the strategic functionalization with nitrogen, phosphorus, and sulfur heteroatoms. Governed by density functional theory (DFT) computations at the gd3bj-B3LYP/def2svp level of theory, the investigation meticulously assessed the performance efficacy of electronically tailored nanocomposites in detecting H2S gas-a corrosive byproduct generated by sulfate reducing bacteria (SRB), bearing latent threats to infrastructure integrity especially in the oil and gas industry. Impressively, the analysed systems, comprising Ni@GP_PEDOT@H2S, N_Ni@GP_PEDOT@H2S, P_Ni@GP_PEDOT@H2S, and S_Ni@GP_PEDOT@H2S, unveiled both structural and electronic properties of noteworthy distinction, thereby substantiating their heightened reactivity. Results of adsorption studies revealed distinct adsorption energies (- 13.0887, - 10.1771, - 16.8166, and - 14.0955 eV) associated respectively with N_Ni@GP_PEDOT@H2S, P_Ni@GP_PEDOT@H2S, S_Ni@GP_PEDOT@H2S, and Ni@GP_PEDOT systems. These disparities vividly underscored the diverse strengths of the adsorbed H2S on the surfaces, significantly accentuating the robustness of S_Ni@GP_PEDOT@H2S as a premier adsorbent, fuelled by the notably strong sulfur-surface interactions. Fascinatingly, the sensor descriptor findings unveiled multifaceted facets pivotal for H2S detection. Ultimately, molecular dynamic simulations corroborated the cumulative findings, collectively underscoring the pivotal significance of this study in propelling the domain of H2S gas detection and sensor device innovation.
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Affiliation(s)
- Innocent Benjamin
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
- Department of Microbiology, University of Calabar, Calabar, Nigeria
| | - Hitler Louis
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria.
- Department of Pure and Applied Chemistry, University of Calabar, Calabar, Nigeria.
| | - Festus O Ogungbemiro
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
- Department of Chemistry, Federal University of Lafia, Lafia, Nassarawa State, Nigeria
| | - Daniel C Agurokpon
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
| | - Bassey O Ekpong
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
- Department of Microbiology, University of Calabar, Calabar, Nigeria
| | - Terkumbur E Gber
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
- Department of Pure and Applied Chemistry, University of Calabar, Calabar, Nigeria
| | - Anthony M S Pembere
- Department of Chemistry, Jaramogi Odinga University of Science and Technology, Bondo, Kenya
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Alwadai N, Elqahtani ZM, Khan SU, Pembere AMS, Badshah A, Mehboob MY, Nazar MF. Impact of halogens on electronic and photovoltaic properties of organic semiconductors: A multiscale computational modeling. J PHYS ORG CHEM 2022. [DOI: 10.1002/poc.4388] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Norah Alwadai
- Department of Physics College of Sciences, Princess Nourah bint Abdulrahman University Riyadh Saudi Arabia
| | - Zainab Mufarreh Elqahtani
- Department of Physics College of Sciences, Princess Nourah bint Abdulrahman University Riyadh Saudi Arabia
| | - Salah Ud‐Din Khan
- Sustainable Energy Technologies Center College of Engineering, King Saud University Riyadh Saudi Arabia
| | - Anthony M. S. Pembere
- Department of Physical Sciences Jaramogi Oginga Odinga University of Science and Technology Bondo Kenya
| | - Amir Badshah
- Department of Chemistry Kohat University of Science and Technology Kohat Pakistan
| | | | - Muhammad Faizan Nazar
- Department of Chemistry, Division of Science and Technology University of Education Lahore Multan Campus Pakistan
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Louis H, Onyebuenyi IB, Odey JO, Igbalagh AT, Mbonu MT, Eno EA, Pembere AMS, Offiong OE. Synthesis, characterization, and theoretical studies of the photovoltaic properties of novel reactive azonitrobenzaldehyde derivatives. RSC Adv 2021; 11:28433-28446. [PMID: 35480716 PMCID: PMC9038037 DOI: 10.1039/d1ra05075c] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/10/2021] [Indexed: 12/13/2022] Open
Abstract
All dyes conduct but at different degrees of absorption; it is interesting to study the degree of conductivity and absorptivity of novel reactive azo-dyes in respect to dye-sensitized solar cells (DSSCs) to ascertain their viability for such applications. In this study, four novel reactive azo-dyes were experimentally synthesized from p-aminobenzaldehyde, 4-amino-3-nitrobenzaldehyde, and aniline through series of condensation and coupling reactions. The various functional groups, molecular connectivities, and molecular weight of the various fragments of the synthesized dyes were elucidated using the GC-MS, FT-IR, UV-vis, and NMR respectively. The experimentally determined structures were modeled and investigated using density functional theory (DFT) and time-dependent density functional theory (TD-DFT) approaches to computationally compute the electronic structure properties, reactivity, absorption and solvatochromism in four different phases: gas, ethanol, acetone, and water, and the photovoltaic properties for possible applications in dye-sensitized solar cells (DSSCs). By comparing the HOMO (EH) and the LUMO (EL) energies from the results obtained demonstrates that dye D has the highest EL energy value of −2.48 eV with a relatively lowest EH energy value of −5.63 eV such that it lies underneath the conduction band edge of TiO2 which is necessary to enable charge regeneration. Pi-electron delocalization was observed from the natural bond orbital (NBO) calculations between the different aromatic rings with dye B and A having the relatively highest and least second-order stabilization energies between σ* → σ* and LP* → LP interacting orbitals respectively. It is also observed in all the solvents that the Gibbs free energy of injection (ΔGinject) is greater than 0.2 eV and hence, all the studied azo structures in the four phases provided efficient electron injection and light harvesting efficiency (LHE), however, the value of ΔGinject for dyes B and D is greatest in all the four phases and thus, provided the highest electron injection of all the dyes. From the fact-findings of quantum theory of atoms-in-molecules (QTAIM), dyes A and C have extra-stability due to their relatively high numbers of intramolecular H-bond interactions along with some additional intra-atomic bonding between atoms within the studied compounds. Hence, all the four dyes are good for DSSCs applications. Four novel reactive azo-dyes were experimentally synthesized from p-aminobenzaldehyde, 4-amino-3-nitrobenzaldehyde, and aniline through series of condensation and coupling reactions, and their properties were assessed for possible application in dye-sensitized solar cells.![]()
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Affiliation(s)
- Hitler Louis
- Computational and Bio-Simulation Research Group, Department of Pure and Applied Chemistry, University of Calabar Calabar Nigeria .,Department of Pure and Applied Chemistry, Faculty of Physical Sciences, University of Calabar Calabar Nigeria
| | - Izubundu B Onyebuenyi
- Computational and Bio-Simulation Research Group, Department of Pure and Applied Chemistry, University of Calabar Calabar Nigeria .,Department of Pure and Applied Chemistry, Faculty of Physical Sciences, University of Calabar Calabar Nigeria
| | - Joseph O Odey
- Computational and Bio-Simulation Research Group, Department of Pure and Applied Chemistry, University of Calabar Calabar Nigeria .,Department of Pure and Applied Chemistry, Faculty of Physical Sciences, University of Calabar Calabar Nigeria
| | - Azuaga T Igbalagh
- Department of Chemical Sciences, Federal University of Wukari Wukari Nigeria
| | - MaryJane T Mbonu
- Computational and Bio-Simulation Research Group, Department of Pure and Applied Chemistry, University of Calabar Calabar Nigeria .,Department of Pure and Applied Chemistry, Faculty of Physical Sciences, University of Calabar Calabar Nigeria
| | - Ededet A Eno
- Computational and Bio-Simulation Research Group, Department of Pure and Applied Chemistry, University of Calabar Calabar Nigeria .,Department of Pure and Applied Chemistry, Faculty of Physical Sciences, University of Calabar Calabar Nigeria
| | - Anthony M S Pembere
- Department of Physical Sciences, Jaramogi Oginga Odinga University of Science and Technology Bondo Kenya
| | - Offiong E Offiong
- Department of Pure and Applied Chemistry, Faculty of Physical Sciences, University of Calabar Calabar Nigeria
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Pembere AMS, Cui C, Anumula R, Wu H, An P, Liang T, Luo Z. Correction: A hexagonal Ni 6 cluster protected by 2-phenylethanethiol for catalytic conversion of toluene to benzaldehyde. Phys Chem Chem Phys 2020; 22:6010. [DOI: 10.1039/d0cp90052d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Correction for ‘A hexagonal Ni6 cluster protected by 2-phenylethanethiol for catalytic conversion of toluene to benzaldehyde’ by Anthony M. S. Pembere et al., Phys. Chem. Chem. Phys., 2019, 21, 17933–17938.
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Affiliation(s)
- Anthony M. S. Pembere
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Chaonan Cui
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Rajini Anumula
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Haiming Wu
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Pan An
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Tongling Liang
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Zhixun Luo
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
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9
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Yang G, Wu H, Pembere AMS, Luo Z. Deep Ultraviolet Laser Radiation Causes Brittle Fracture of C
α
‐C
β
Bonds in Neurotransmitters. ChemistrySelect 2019. [DOI: 10.1002/slct.201900936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Guanhua Yang
- University of Chinese Academy of Sciences Beijing 100049 P. R. China
| | - Haiming Wu
- Beijing National Laboratory for Molecular Sciences (BNLMS), State Key Laboratory for Structural Chemistry of Unstable and Stable SpeciesInstitute of ChemistryChinese Academy of Sciences. Beijing 100190 P. R. China
- University of Chinese Academy of Sciences Beijing 100049 P. R. China
| | - Anthony M. S. Pembere
- Beijing National Laboratory for Molecular Sciences (BNLMS), State Key Laboratory for Structural Chemistry of Unstable and Stable SpeciesInstitute of ChemistryChinese Academy of Sciences. Beijing 100190 P. R. China
- University of Chinese Academy of Sciences Beijing 100049 P. R. China
| | - Zhixun Luo
- Beijing National Laboratory for Molecular Sciences (BNLMS), State Key Laboratory for Structural Chemistry of Unstable and Stable SpeciesInstitute of ChemistryChinese Academy of Sciences. Beijing 100190 P. R. China
- University of Chinese Academy of Sciences Beijing 100049 P. R. China
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Pembere AMS, Cui C, Anumula R, Wu H, An P, Liang T, Luo Z. A hexagonal Ni6 cluster protected by 2-phenylethanethiol for catalytic conversion of toluene to benzaldehyde. Phys Chem Chem Phys 2019; 21:17933-17938. [DOI: 10.1039/c9cp02964h] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A hexagonal Ni6 cluster protected by 2-phenylethanethiol was synthesized and achieved a high performance for catalytic conversion of toluene to benzaldehyde.
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Affiliation(s)
- Anthony M. S. Pembere
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Chaonan Cui
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Rajini Anumula
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Haiming Wu
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Pan An
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Tongling Liang
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
| | - Zhixun Luo
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species
- Institute of Chemistry
- Chinese Academy of Sciences; and University of Chinese Academy of Sciences Beijing
- China
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11
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Affiliation(s)
- Anthony M. S. Pembere
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100090, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xianhu Liu
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100090, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weihua Ding
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100090, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhixun Luo
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100090, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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