Article
Engineering, Manufacturing
Shaohua Chen, David Seveno, Larissa Gorbatikh
Summary: The study established a multiscale model to calculate the effective thermal conductivity of graphene and polyamide-6 composite, finding that randomly entangled graphene networks exhibit better thermal conductivity than composites with specific graphene alignment. The results suggest that maximizing composite thermal conductivity can be achieved by producing the optimal orientation distribution for graphene flakes without increasing graphene loading.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2021)
Article
Engineering, Mechanical
Sankhadeep Bhattacharyya, Md Rushdie Ibne Islam, Puneet Kumar Patra
Summary: This manuscript investigates the fracture crack propagation in graphene sheets using a sequential multiscaling technique. By coupling continuum-scale smoothed particle hydrodynamics (SPH) with atomistic scale molecular dynamics (MD) simulations through proper constitutive modelling, the authors accurately reproduce the atomistic scale stress-strain behavior until failure. The study reveals the influence of notch orientation on crack propagation and the changes in stress-strain behavior caused by randomly oriented cracks in graphene sheets.
THEORETICAL AND APPLIED FRACTURE MECHANICS
(2022)
Article
Nanoscience & Nanotechnology
Elisha Mercado, Julian Anaya, Martin Kuball
Summary: The presence of polymer transfer residues on graphene surfaces significantly impacts the thermal properties of the material. The proportion of surface covered by residues and the mean separation distance between clusters are key factors in determining the level of thermal conductivity suppression. This study has important implications for large-scale graphene fabrication and transfer, particularly in applications where graphene is used as a heat spreading layer in devices.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Nanoscience & Nanotechnology
Zhuoran Li, Peng He, Yunxia Ping, Na Guo, Xianzhe Zeng, Siwei Yang, Guqiao Ding
Summary: A multiscale strategy was developed to predict the effective thermal conductivity of graphene films, providing accurate predictions after experimental calibration. The dimension effects revealed by simulation data offer important conclusions for enhancing the thermal conductivity of graphene films.
ACS APPLIED NANO MATERIALS
(2022)
Article
Chemistry, Physical
Yunhe Sheng, Chao Li, Jie Wang, Xiaodong Xia, George J. Weng, Yu Su
Summary: In this study, a multiscale model was developed based on effective medium theory to predict the effect of carbon nanotube (CNT) agglomeration on the overall thermal conductivity of CNT-polymer nanocomposites. It was found that the existence of CNT agglomerates can cause a decrease of up to 50% in the overall thermal conductivity of the nanocomposite. Two important parameters for the progressive agglomeration model were identified and their influences on the predicted results were examined.
Article
Chemistry, Multidisciplinary
Alessandro Di Pierro, Bohayra Mortazavi, Hamidreza Noori, Timon Rabczuk, Alberto Fina
Summary: The study investigated the effective thermal conductivity of polymer nanocomposites with graphene and borophene as nanofillers using multi-scale modeling. The results showed that improving the bonding between fillers and polymer can significantly enhance the thermal conductivity. Despite lower thermal conductivity, borophene has the potential to enhance thermal conductivity in polymer nanocomposites.
Article
Chemistry, Physical
Jie Wang, Chao Li, Jackie Li, George J. Weng, Yu Su
Summary: The study investigates the thermal conductivity of graphene nanofillers and nanocomposites under different sizes and temperatures, using a multiscale approach to calculate the overall thermal property. The results are in close agreement with experimental observations, highlighting the significant effects of filler size and ambient temperature on thermal conductivity in nanocomposites.
Article
Chemistry, Physical
Fenghua Nie, Cheuk Lun Chow, Denvid Lau
Summary: The effects of functional groups and defects of graphene on the thermal conductivity of asphalt/graphene nanocomposites are investigated by molecular dynamics simulations. The results show that functionalized graphene is beneficial to the interfacial thermal conductance, with the butyl group increasing the thermal conductivity twofold compared to pristine graphene. Functionalized groups promote phonon transport at the asphalt/graphene interface. The predominant factor determining the thermal conductivity of asphalt nanocomposites changes from the interface-dominant mode to the filler-dominant mode when crossing the critical size.
APPLIED SURFACE SCIENCE
(2023)
Article
Nanoscience & Nanotechnology
Yanyan Wang, Xian Zhang, Xin Ding, Ya Li, Bin Wu, Ping Zhang, Xiaoliang Zeng, Qian Zhang, Yuhang Du, Yi Gong, Kang Zheng, Xingyou Tian
Summary: The study introduces a stitching strategy to fabricate an rGO/g-C3N4 film, using 2D g-C3N4 as a linker to expand the size of graphene and form an in-plane heterostructure, resulting in increased thermal conductivity. Non-equilibrium molecular dynamics simulations further examine the interfacial thermal resistance between rGO and g-C3N4, while the unique light absorption and welding ability of g-C3N4 contribute to superior solar-thermal and electric-thermal responses in the film.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Energy & Fuels
D. Jamshideasli, H. Babaei, P. Keblinski, J. M. Khodadadi
Summary: Mixtures of paraffin and carbon nanofillers show potential for thermal storage, but thermal conductivity needs improvement. Molecular dynamics simulations were used to study the thermal conductance between graphene sheets and octadecane matrix, revealing that systems with thin graphene layers exhibit higher thermal conductance.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Physical
Lukasz Latka, Kamil Goc, Czeslaw Kapusta, Szczepan Zapotoczny
Summary: By grafting poly(acrylamide) brushes onto the surface of graphene, GO_PAAM was created to improve the thermal conductivity of polyamide-6 (PA6) nanocomposites. The strong interfacial interactions between the brushes and the PA6 matrix also enhanced the tensile strength of the nanocomposite.
Article
Chemistry, Physical
Mohan S. R. Elapolu, Alireza Tabarraei
Summary: The study reveals that hydrogenation significantly impacts the strength and fracture toughness of polycrystalline graphene, reducing the strength and critical stress intensity factor along with altering the crack propagation path.
JOURNAL OF PHYSICAL CHEMISTRY C
(2021)
Article
Materials Science, Multidisciplinary
Bingcheng Wang, Qun Cao, Wei Shao, Zheng Cui
Summary: This study investigates the effect of vacancy coverage rate, stacking length, and stacking forms on the heat transfer coefficient of graphene networks in composites materials. The results show that the effective thermal conductivity of the stacking region plays a significant role in determining the heat transfer coefficient. The vacancy coverage rate and stacking length are found to be positively correlated with the effective thermal conductivity of the stacking region.
JOURNAL OF MATERIALS SCIENCE
(2022)
Article
Engineering, Chemical
Muhammad Ibrahim, Tareq Saeed, Yu-Ming Chu, Hafiz Muhammad Ali, Goshtasp Cheraghian, Rasool Kalbasi
Summary: The study compared the thermal conductivity of graphene nano-sheets (GNs)/ethylene glycol (EG) nanofluid with EG alone, showing that the presence of nanoparticles enhances the thermal conductivity of EG. Additionally, loading GNs into EG reversed the temperature dependency of thermal conductivity, with nanofluid showing increased thermal conductivity as temperature rises. The positive effects of nanoparticles on thermal conductivity decreased with higher nanoparticle content, and adding GNs strengthened the impact on thermal conductivity with increasing temperature.
Article
Physics, Fluids & Plasmas
Zihua Liu, Debabrata Panja, Gerard T. Barkema
Summary: The mechanical properties of graphene were studied through computer simulations and their connection to experimental results was made. The study found that graphene's area and aspect ratio exhibit diffusive behavior over short timescales, with diffusion coefficients that are related. Fluctuations in area are bounded over longer timescales, while those in aspect ratio are not. The dynamic behavior of polycrystalline graphene under external forces can also be derived from the diffusion coefficients, and the diffusion coefficients depend on the structural properties of the material.
Review
Chemistry, Physical
Jinbo Pang, Songang Peng, Chongyang Hou, Xiao Wang, Ting Wang, Yu Cao, Weijia Zhou, Ding Sun, Kai Wang, Mark H. Ruemmeli, Gianaurelio Cuniberti, Hong Liu
Summary: In this review, the applications of MXene in sensors and actuators are discussed. MXene-based films, membranes, and composites are used to simulate the five primary human senses and stimulate muscles. MXene is utilized in image sensors, gas sensors, chemical biosensors, acoustic devices, and tactile sensors for electronic skin, as well as in MXene-based actuators. The future opportunities for MXene research in artificial intelligence and humanoid robots are also presented.
Article
Nanoscience & Nanotechnology
Anna Kulis-Kapuscinska, Monika Kwoka, Michal Adam Borysiewicz, Tomasz Wojciechowski, Nadia Licciardello, Massimo Sgarzi, Gianaurelio Cuniberti
Summary: The photocatalytic degradation of methylene blue (MB) in wastewater using ZnO nanostructured porous thin films was studied. The SEM analysis revealed the presence of a coral reef structure on the surface of the ZnO thin films, which increased in size after the photocatalytic experiments. The XPS analysis showed slight non-stoichiometry and the presence of carboxyl and carbonyl functional groups after the photodegradation of MB.
Article
Engineering, Electrical & Electronic
Waltenegus Dargie, Jianjun Wen, Luis Antonio Panes-Ruiz, Leif Riemenschneider, Bergoi Ibarlucea, Gianaurelio Cuniberti
Summary: Human beings live and work in close proximity to dangerous gases, which can cause considerable damages to human lives and properties, as well as have high impact on the environment. Hence, diligent monitoring and management of these gases are of profound importance.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool, Wenguan Wang
Summary: Video segmentation is crucial in various practical applications such as enhancing visual effects in movies, understanding scenes in autonomous driving, and creating virtual background in video conferencing. Deep learning-based approaches have shown promising performance in video segmentation. This survey comprehensively reviews two main research lines - generic object segmentation and video semantic segmentation - by introducing their task settings, background concepts, need, development history, and challenges. Representative literature and datasets are also discussed, and the reviewed methods are benchmarked on well-known datasets. Open issues and opportunities for further research are identified, and a public website is provided to track developments in this field: https://github.com/tfzhou/VS-Survey.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Physics, Applied
Shirong Huang, Alexander Croy, Antonie Louise Bierling, Vyacheslav Khavrus, Luis Antonio Panes-Ruiz, Arezoo Dianat, Bergoi Ibarlucea, Gianaurelio Cuniberti
Summary: Olfaction is an ancient sensory system that provides detailed information about the environment. Artificial olfaction aims to mimic the biological sense of smell and digitize it. In this study, machine learning-enabled graphene-based electronic olfaction sensors were developed and their olfactory performance towards VOCs was assessed. The sensors exhibited high performance in odor detection, discrimination, and identification, and showed similar response patterns to individual odors in binary odor mixtures.
APPLIED PHYSICS REVIEWS
(2023)
Article
Construction & Building Technology
Jitong Zhao, George Karalis, Marco Liebscher, Lazaros Tzounis, Thomas Koeberle, Dieter Fischer, Frank Simon, Muhannad Al Aiti, Gianaurelio Cuniberti, Viktor Mechtcherine
Summary: This proof-of-concept study demonstrates the fabrication of a multifunctional reinforcing grid-building material within a thermoelectric element generator configuration. Carbon fiber yarns were impregnated with a geopolymer-based suspension and tested for their properties. The resulting hardened mineral-impregnated carbon-fiber reinforcements were used as thermoelements to assemble a grid-like TEG, which generated power upon exposure to a temperature difference.
ENERGY AND BUILDINGS
(2023)
Article
Chemistry, Physical
Neeraj Bangruwa, Mayra Suryansh, Mayra Peralta, Rafael Gutierrez, Gianaurelio Cuniberti, Debabrata Mishra
Summary: In this study, we investigate the sequence-dependent chiral-induced spin selectivity (CISS) in double-stranded DNA. By using time-correlated single-photon counting and electrochemical impedance spectroscopy, we find that the average lifetime of photo-excited electrons is influenced by the CISS effect generated by the DNA molecule. The observed experimental trends are supported by simulations using a tight binding method.
JOURNAL OF CHEMICAL PHYSICS
(2023)
Article
Chemistry, Physical
Mayra Peralta, Steven Feijoo, Solmar Varela, Rafael Gutierrez, Gianaurelio Cuniberti, Vladimiro Mujica, Ernesto Medina
Summary: We investigate the role of electron-spin-phonon coupling in DNA using an effective model Hamiltonian and its connection to the Chiral-Induced Spin Selectivity (CISS) effect. The semiclassical electron transfer in a tight-binding model of DNA with intrinsic spin-orbit coupling is described using the envelope function approach. We find that only acoustic modes exhibit spin-phonon coupling, while optical modes show electron-phonon interaction without spin coupling. An effective Hamiltonian is derived, in which the eigenstates carry spin currents protected by spin-inactive stretching optical modes. The stronger interaction between optical phonons and electrons allows for the decoherence effects and the spin filtering effects observed in CISS.
JOURNAL OF CHEMICAL PHYSICS
(2023)
Article
Chemistry, Physical
Mohammad Khazaei, Soungmin Bae, Rasoul Khaledialidusti, Ahmad Ranjbar, Hannu-Pekka Komsa, Somayeh Khazaei, Mohammad Bagheri, Vei Wang, Yasuhide Mochizuki, Mitsuaki Kawamura, Gianaurelio Cuniberti, S. Mehdi Vaez Allaei, Kaoru Ohno, Hideo Hosono, Hannes Raebiger
Summary: MAX phases are layered non-van der Waals materials composed of stacking hexagonal layers of transition metal (M), a group III-VI element(A), and carbon or nitrogen (X). Through high-throughput calculations, 761 dynamically stable MAX phases have been identified, with 466 structures potentially synthesizable. To discover new structural phases, 361 MAX systems with dynamical instabilities were investigated, leading to the discovery of novel superlattices by reconstructing the triangular lattice of A-atoms into 0D-clusters, quasi-1D-chains, or creating 2D Haeckelite or Kagome-like lattices. This work introduces a new approach to discovering novel MAX phases from conventional structures without element alloying.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Article
Chemistry, Physical
Alvaro Rodriguez Mendez, Arezoo Dianat, Leonardo Medrano Sandonas, Rafael Gutierrez, Gianaurelio Cuniberti
Summary: In this study, the electronic properties of phosphorene monolayers functionalized with hydroxyl and cysteine molecules were investigated using spin-polarized density-functional theory. It was found that functionalization not only induced electronic states within the semiconducting gap, but also resulted in local magnetism. The ferro- or anti-ferromagnetic ground states could be obtained depending on molecular coverage, lattice direction, and molecular chirality. Functionalized phosphorene monolayers were proposed as bipolar magnetic semiconductors based on the obtained spin-dependent band structures. The electronic parameters used to characterize bipolar magnetic semiconductors became increasingly distinct with increasing surface coverage, suggesting a possible route for designing such materials via targeted molecular functionalization.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Review
Chemistry, Analytical
Alexandra Parichenko, Shirong Huang, Jinbo Pang, Bergoi Ibarlucea, Gianaurelio Cuniberti
Summary: Inspired by biological noses, e-noses imitate them by using gas sensor arrays to detect and identify surrounding gases and volatile compounds. Two-dimensional materials have shown remarkable sensitivity at room temperature, addressing energy efficiency and sensitivity issues. This review highlights advancements in the development of e-noses, including transduction mechanisms and deposition methods for two-dimensional materials. Artificial intelligence tools are discussed for smart data analysis to overcome selectivity limitations.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Multidisciplinary Sciences
Suchetana Sarkar, Kwan Ho Au-Yeung, Tim Kuehne, Albrecht Waentig, Dmitry A. Ryndyk, Thomas Heine, Gianaurelio Cuniberti, Xinliang Feng, Francesca Moresco
Summary: We investigated a prochiral thiophene-based molecule that self-assembles on the Au(111) surface forming islands with different domains using low temperature scanning tunneling microscopy. Two different conformations of the single molecule were observed in the domains, depending on the rotation of bromothiophene groups. By applying voltage pulses from the tip, single molecules could be switched between the two conformations. Scanning tunneling spectroscopy revealed that electronic resonances were mainly localized at the same positions in both conformations. Density-functional theory calculations supported the experimental findings. Moreover, we found that on Ag(111), only one configuration was present and the switching effect was suppressed.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Artificial Intelligence
Wenqi Wang, Run Wang, Lina Wang, Zhibo Wang, Aoshuang Ye
Summary: Deep neural networks have achieved remarkable success in various tasks, but they are vulnerable to adversarial examples in both image and text domains. Adversarial examples in the text domain can evade DNN-based text analyzers and pose threats to the spread of disinformation. This paper comprehensively surveys the existing studies on adversarial techniques for generating adversarial texts and the corresponding defense methods, aiming to inspire future research in developing robust DNN-based text analyzers against known and unknown adversarial techniques.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Materials Science, Multidisciplinary
Andrei Mitrofanov, Yonder Berencen, Elaheh Sadrollahi, Regine Boldt, David Bodesheim, Hendrik Weiske, Fabian Paulus, Jochen Geck, Gianaurelio Cuniberti, Agnieszka Kuc, Brigitte Voit
Summary: We investigated the structures and properties of a series of low-dimensional hybrid organic-inorganic perovskites based on naphthalene ammonium cations, 2,6-diaminonaphthalene (2,6-DAN), 1-aminonaphthalene (1-AN), and 2-aminonaphthalene (2-AN). These materials exhibit edge- or face-sharing 1D chain structures. Compared to the 2D counterpart containing isomeric 1,5-diaminonaphthalene (1,5-DAN), the 1D hybrid materials exhibit broadband light emission arising from the self-trapped excitons (STEs) owing to their highly distorted structure. This work expands the library of low-dimensional hybrid perovskites and opens new possibilities for obtaining broadband-light-emitting materials.
JOURNAL OF MATERIALS CHEMISTRY C
(2023)
Article
Chemistry, Multidisciplinary
Jiao Wang, Nadia Licciardello, Massimo Sgarzi, Gianaurelio Cuniberti
Summary: In this study, multifunctional nanocomposites were used to remove a mixture of pollutants from water. The nanocomposites demonstrated both adsorption capacity and photodegradation activity towards different pollutants, such as dyes and antibiotics. The order of addition did not affect the removal efficiency, indicating the versatility of the nanocomposites.
NANOSCALE ADVANCES
(2023)
Article
Chemistry, Multidisciplinary
Laetitia Bardet, Herve Roussel, Stefano Saroglia, Masoud Akbari, David Munoz-Rojas, Carmen Jimenez, Aurore Denneulin, Daniel Bellet
Summary: The thermal instability of silver nanowires leads to increased electrical resistance in AgNW networks. Understanding the relationship between structural and electrical properties of AgNW networks is crucial for their integration as transparent electrodes in flexible optoelectronics. In situ X-ray diffraction measurements were used to study the crystallographic evolution of Ag-specific Bragg peaks during thermal ramping, revealing differences in thermal and structural transitions between bare and SnO2-coated AgNW networks.
Article
Chemistry, Multidisciplinary
Nathalia Cancino-Fuentes, Arnau Manasanch, Joana Covelo, Alex Suarez-Perez, Enrique Fernandez, Stratis Matsoukis, Christoph Guger, Xavi Illa, Anton Guimera-Brunet, Maria V. Sanchez-Vives
Summary: This study provides a comprehensive characterization of graphene-based solution-gated field-effect transistors (gSGFETs) for brain recordings, highlighting their potential clinical applications.
Article
Chemistry, Multidisciplinary
Sikandar Aftab, Hailiang Liu, Dhanasekaran Vikraman, Sajjad Hussain, Jungwon Kang, Abdullah A. Al-Kahtani
Summary: This study examines the effects of hybrid nanoparticles made of NiO@rGO and NiO@CNT on the active layers of polymer solar cells and X-ray photodetectors. The findings show that these hybrid nanoparticles can enhance the charge carrier capacities and exciton dissociation properties of the active layers. Among the tested configurations, the NiO@CNT device demonstrates superior performance in converting sunlight into electricity, and achieves the best sensitivity for X-ray detection.
Article
Chemistry, Multidisciplinary
Hyo Jung Shin, Seung Gyu Choi, Fengrui Qu, Min-Hee Yi, Choong-Hyun Lee, Sang Ryong Kim, Hyeong-Geug Kim, Jaewon Beom, Yoonyoung Yi, Do Kyung Kim, Eun-Hye Joe, Hee-Jung Song, Yonghyun Kim, Dong Woon Kim
Summary: This study investigates the role of SOX9 in reactive astrocytes following ischemic brain damage using a PLGA nanoparticle plasmid delivery system. The results demonstrate that PLGA nanoparticles can reduce ischemia-induced neurological deficits and infarct volume, providing a potential opportunity for stroke treatment.
Article
Chemistry, Multidisciplinary
Anurag Chaudhury, Koushik Debnath, Nikhil R. Jana, Jaydeep K. Basu
Summary: The study investigates the interaction between nanoparticles and cell membranes, and identifies key parameters, including charge, crowding, and membrane fluidity, that determine the adsorbed concentration and unbinding transition of nanoparticles.
Article
Chemistry, Multidisciplinary
Sina Sadeghi, Fazel Bateni, Taekhoon Kim, Dae Yong Son, Jeffrey A. Bennett, Negin Orouji, Venkat S. Punati, Christine Stark, Teagan D. Cerra, Rami Awad, Fernando Delgado-Licona, Jinge Xu, Nikolai Mukhin, Hannah Dickerson, Kristofer G. Reyes, Milad Abolhasani
Summary: In this study, an autonomous approach for the development of lead-free metal halide perovskite nanocrystals is presented, which integrates a modular microfluidic platform with machine learning-assisted synthesis modeling. This approach enables rapid and optimized synthesis of copper-based lead-free nanocrystals.
Article
Chemistry, Multidisciplinary
Zahir Abbas, Nissar Hussain, Surender Kumar, Shaikh M. Mobin
Summary: The rational construction of free-standing and flexible electrodes for electrochemical energy storage devices is an emerging research focus. In this study, a redox-active metal-organic framework (MOF) was prepared on carbon nanofibers using an in situ approach, resulting in a flexible electrode with high redox-active behavior and unique properties such as high flexibility and lightweight. The prepared electrode showed excellent cyclic retention and rate capability in supercapacitor applications. Additionally, it could be used as a freestanding electrode in flexible devices at different bending angles.
Article
Chemistry, Multidisciplinary
Lishan Zhang, Xiaoting Zhang, Hui Ran, Ze Chen, Yicheng Ye, Jiamiao Jiang, Ziwei Hu, Miral Azechi, Fei Peng, Hao Tian, Zhili Xu, Yingfeng Tu
Summary: Photodynamic therapy (PDT) is a promising local treatment modality in cancer therapy, but its therapeutic efficacy is restricted by ineffective delivery of photosensitizers and tumor hypoxia. In this study, a phototactic Chlorella-based near-infrared (NIR) driven green affording-oxygen microrobot system was developed for enhanced PDT. The system exhibited desirable phototaxis and continuous oxygen generation, leading to the inhibition of tumor growth in mice. This study demonstrates the potential of using a light-driven green affording-oxygen microrobot to enhance photodynamic therapy.
Article
Chemistry, Multidisciplinary
Yujin Li, Jing Xu, Xinqi Luo, Futing Wang, Zhong Dong, Ke-Jing Huang, Chengjie Hu, Mengyi Hou, Ren Cai
Summary: In this study, hollow heterostructured materials were constructed using an innovative template-engaged method as cathodes for zinc-ion batteries. The materials exhibited fast Zn2+ transport channels, improved electrical conductivity, and controlled volume expansion during cycling. The designed structure allowed for an admirable reversible capacity and high coulombic efficiency.
Article
Chemistry, Multidisciplinary
Paritosh Mahato, Shashi Shekhar, Rahul Yadav, Saptarshi Mukherjee
Summary: This study comprehensively elucidates the role of the core and electrostatic surface of metal nanoclusters in catalytic reduction reactions. The electrostatic surface dramatically modulates the reactivity of metal nanoclusters.
Article
Chemistry, Multidisciplinary
Pei Liu, Mengdi Liang, Zhengwei Liu, Haiyu Long, Han Cheng, Jiahe Su, Zhongbiao Tan, Xuewen He, Min Sun, Xiangqian Li, Shuai He
Summary: This study demonstrates a simple and environmentally-friendly method for the synthesis of zinc oxide nanozymes (ZnO NZs) using wasted hop extract (WHE). The WHE-ZnO NZs exhibit exceptional peroxidase-like activity and serve as effective catalysts for the oxidation of 3,3,5,5-tetramethylbenzidine (TMB) in the presence of hydrogen peroxide (H2O2). In addition, a straightforward colorimetric technique for detecting both H2O2 and glucose was developed using the WHE-ZnO NZs as peroxidase-like catalysts.
Article
Chemistry, Multidisciplinary
Hyunkyu Oh, Young Jun Lee, Eun Ji Kim, Jinseok Park, Hee-Eun Kim, Hyunsoo Lee, Hyunjoo Lee, Bumjoon J. Kim
Summary: Mesoporous carbon particles have unique structural properties that make them suitable as support materials for catalytic applications. This study investigates the impact of channel nanostructures on the catalytic activity of porous carbon particles (PCPs) by fabricating PCPs with controlled channel exposure on the carbon surface. The results show that PCPs with highly open channel nanostructures exhibit significantly higher catalytic activity compared to those with closed channel nanostructures.
Article
Chemistry, Multidisciplinary
Yunjie Lu, Zhaohui Li, Zewei Li, Shihao Zhou, Ning Zhang, Jianming Zhang, Lu Zong
Summary: A tough, long-lasting adhesive and highly conductive nanocomposite hydrogel (PACPH) was fabricated via the synergy of interfacial entanglement and adhesion group densification. PACPH possesses excellent mechanical properties, interfacial adhesion strength, and conductivity, making it a promising material for long-term monitoring of human activities and electrocardiogram signals.
Article
Chemistry, Multidisciplinary
Zichao Wei, Audrey Vandergriff, Chung-Hao Liu, Maham Liaqat, Mu-Ping Nieh, Yu Lei, Jie He
Summary: We have developed a simple method to prepare polymer-grafted plasmonic metal nanoparticles with pH-responsive surface-enhanced Raman scattering. By using pH-responsive polymers as ligands, the aggregation of nanoparticles can be controlled, leading to enhanced SERS. The pH-responsive polymer-grafted nanoparticles show high reproducibility and sensitivity in solution, providing a novel approach for SERS without the need for sample pre-concentration.
Article
Chemistry, Multidisciplinary
Melis Ozge Alas Colak, Ahmet Gungor, Merve Buldu Akturk, Emre Erdem, Rukan Genc
Summary: This research investigates the effect of functionalizing carbon dots with hydroxyl polymers on their performance as electrode materials in a supercapacitor. The results show that the functionalized carbon dots exhibit excellent electrochemical performance and improved stability.
