BINA

3964 articles

77 publishers

Join mailing list

Feb 2023 • Batteries 9 (2), 110, 2023

Recent progress in solid electrolytes for all-solid-state metal (Li/Na)–sulfur batteries

Ravindra Kumar Bhardwaj, David Zitoun

Metal–sulfur batteries, especially lithium/sodium–sulfur (Li/Na-S) batteries, have attracted widespread attention for large-scale energy application due to their superior theoretical energy density, low cost of sulfur compared to conventional lithium-ion battery (LIBs) cathodes and environmental sustainability. Despite these advantages, metal–sulfur batteries face many fundamental challenges which have put them on the back foot. The use of ether-based liquid electrolyte has brought metal–sulfur batteries to a critical stage by causing intermediate polysulfide dissolution which results in poor cycling life and safety concerns. Replacement of the ether-based liquid electrolyte by a solid electrolyte (SEs) has overcome these challenges to a large extent. This review describes the recent development and progress of solid electrolytes for all-solid-state Li/Na-S batteries. This article begins with a basic introduction to metal–sulfur batteries and explains their challenges. We will discuss the drawbacks of the using liquid organic electrolytes and the advantages of replacing liquid electrolytes with solid electrolytes. This article will also explain the fundamental requirements of solid electrolytes in meeting the practical applications of all solid-state metal–sulfur batteries, as well as the electrode–electrolyte interfaces of all solid-state Li/Na-S batteries.

Show more

Feb 2023 • Physical Review E

Brownian particles in periodic potentials: Coarse-graining versus fine structure

Lucianno Defaveri, Eli Barkai, David A Kessler

We study the motion of an overdamped particle connected to a thermal heat bath in the presence of an external periodic potential in one dimension. When we coarse-grain, ie, bin the particle positions using bin sizes that are larger than the periodicity of the potential, the packet of spreading particles, all starting from a common origin, converges to a normal distribution centered at the origin with a mean-squared displacement that grows as 2 D* t, with an effective diffusion constant that is smaller than that of a freely diffusing particle. We examine the interplay between this coarse-grained description and the fine structure of the density, which is given by the Boltzmann-Gibbs (BG) factor e− V (x)/k B T, the latter being nonnormalizable. We explain this result and construct a theory of observables using the Fokker-Planck equation. These observables are classified as those that are related to the BG fine structure, like the …

Show more

Feb 2023 • Pharmaceutics 15 (2), 686, 2023

Bioimaging Probes Based on Magneto-Fluorescent Nanoparticles

Sayan Ganguly, Shlomo Margel

Novel nanomaterials are of interest in biology, medicine, and imaging applications. Multimodal fluorescent-magnetic nanoparticles demand special attention because they have the potential to be employed as diagnostic and medication-delivery tools, which, in turn, might make it easier to diagnose and treat cancer, as well as a wide variety of other disorders. The most recent advancements in the development of magneto-fluorescent nanocomposites and their applications in the biomedical field are the primary focus of this review. We describe the most current developments in synthetic methodologies and methods for the fabrication of magneto-fluorescent nanocomposites. The primary applications of multimodal magneto-fluorescent nanoparticles in biomedicine, including biological imaging, cancer treatment, and drug administration, are covered in this article, and an overview of the future possibilities for these technologies is provided.

Show more

Feb 2023 • Physical Review Letters

Restart expedites quantum walk hitting times

Ruoyu Yin, Eli Barkai

Classical first-passage times under restart are used in a wide variety of models, yet the quantum version of the problem still misses key concepts. We study the quantum hitting time with restart using a monitored quantum walk. The restart strategy eliminates the problem of dark states, ie, cases where the particle evades detection, while maintaining the ballistic propagation which is important for a fast search. We find profound effects of quantum oscillations on the restart problem, namely, a type of instability of the mean detection time, and optimal restart times that form staircases, with sudden drops as the rate of sampling is modified. In the absence of restart and in the Zeno limit, the detection of the walker is not possible, and we examine how restart overcomes this well-known problem, showing that the optimal restart time becomes insensitive to the sampling period.

Show more

Feb 2023 • Physical Review A

Tracking nanoscale perturbation in active disordered media

Renu Yadav, Patrick Sebbah, Maruthi M Brundavanam

Disorder-induced feedback makes random lasers very susceptible to any changes in the scattering medium. The sensitivity of the lasing modes to perturbations in the disordered systems has been utilized to map the regions of perturbation. A tracking parameter that takes into account the cumulative effect of changes in the spatial distribution of the lasing modes of the system has been defined to locate the region in which a scatterer is displaced by a few nanometers. We show numerically that the precision of the method increases with the number of modes. The proposed method opens up the possibility of application of random lasers as a tool for monitoring locations of nanoscale displacement, which can be useful for single-particle detection and monitoring.

Show more

Feb 2023 • International Journal of Molecular Sciences

Characterization of Continuous Transcriptional Heterogeneity in High-Risk Blastemal-Type Wilms’ Tumors Using Unsupervised Machine Learning

Yaron Trink, Achia Urbach, Benjamin Dekel, Peter Hohenstein, Jacob Goldberger, Tomer Kalisky

Wilms’ tumors are pediatric malignancies that are thought to arise from faulty kidney development. They contain a wide range of poorly differentiated cell states resembling various distorted developmental stages of the fetal kidney, and as a result, differ between patients in a continuous manner that is not well understood. Here, we used three computational approaches to characterize this continuous heterogeneity in high-risk blastemal-type Wilms’ tumors. Using Pareto task inference, we show that the tumors form a triangle-shaped continuum in latent space that is bounded by three tumor archetypes with “stromal”, “blastemal”, and “epithelial” characteristics, which resemble the un-induced mesenchyme, the cap mesenchyme, and early epithelial structures of the fetal kidney. By fitting a generative probabilistic “grade of membership” model, we show that each tumor can be represented as a unique mixture of three hidden “topics” with blastemal, stromal, and epithelial characteristics. Likewise, cellular deconvolution allows us to represent each tumor in the continuum as a unique combination of fetal kidney-like cell states. These results highlight the relationship between Wilms’ tumors and kidney development, and we anticipate that they will pave the way for more quantitative strategies for tumor stratification and classification.

Show more

Feb 2023 • Nano-Structures & Nano-Objects

Nano-apertures vs. nano-barriers: Surface scanning through obstacles and super-resolution in AFM-NSOM dual-mode

Jérémy Belhassen, David Glukhov, Matityahu Karelits, Zeev Zalevsky, Avi Karsenty

As part of the performance characterization of a combined and enhanced new AFM-NSOM tip-photo-detector, diffraction limitations were studied on two complementary samples: a nano-barrier embedded between two nano-apertures and one nano-aperture embedded between two nano-barriers. These consecutive multiple-obstacle scanning paths are part of this challenging specifications study of a new conical-shaped and drilled tip-photodetector, sharing a subwavelength aperture. A super-resolution algorithm feature was added in order to overcome possible obstacles, while scanning the same object with several small angles. The new multi-mode system includes scanning topography, optical imaging and an obstacle-overcoming algorithm. The present article study emphasizes the complexity of nano-scanning multiple-apertures/barriers. Both complementary analytical (Python) and numerical (Comsol …

Show more

Feb 2023 • The Journal of Physical Chemistry C

Conductive Ytterbium Metal–Organic Framework Composite: A Lanthanide-Based Complex ORR Catalyst

Shmuel Gonen, Oran Lori, Noam Zion, Lior Elbaz

Extensive research work has been invested in the past decade in finding replacements for platinum-based electrocatalysts for the oxygen reduction reaction in fuel cells. The majority of these alternative electrocatalysts are based on transition-metal ions coordinated by organic ligands. Different from previously reported approaches for electrocatalysts, we describe here the synthesis, characterization, and oxygen reduction reaction activity of lanthanide complex electrocatalyst with ytterbium as the metal center. A metal–organic framework of Yb and benzene tricarboxylic acid as a ligand was synthesized on activated carbon (Yb(III)BTC@AC) to achieve electrical conductivity in a procedure similar to M-BTC@AC electrocatalysts with transition-metal centers. The Yb complex in activated carbon presents oxygen reduction reaction activity in alkaline solution with high onset potential relative to other nonpyrolyzed …

Show more

Feb 2023 • arXiv preprint arXiv:2302.00650

Multipartite entanglement detection via correlation minor norm

Rain Lenny, Amit Te'eni, Bar Y Peled, Avishy Carmi, Eliahu Cohen

Entanglement is a uniquely quantum resource giving rise to many quantum technologies. It is therefore important to detect and characterize entangled states, but this is known to be a challenging task, especially for multipartite mixed states. The correlation minor norm (CMN) was recently suggested as a bipartite entanglement detector employing bounds on the quantum correlation matrix. In this paper we explore generalizations of the CMN to multipartite systems based on matricizations of the correlation tensor. It is shown that the CMN is able to detect and differentiate classes of multipartite entangled states. We further analyze the correlations within the reduced density matrices and show their significance for entanglement detection. Finally, we employ matricizations of the correlation tensor for introducing a measure of global quantum discord.

Show more

Feb 2023 • Cold Spring Harbor Protocols

Probing acoustic communication during fly reproductive behaviors

Anne C von Philipsborn, Galit Shohat-Ophir, Carolina Rezaval

During reproduction, male and female flies use wing vibration to generate different acoustic signals. Males produce a courtship song before copulation that is easily recognized by unilateral wing vibration. In copula, females produce a distinct sound pattern (copulation song) with both wings. Sexual rejection of immature virgins and aggressive encounters between males are also accompanied by sound pulses generated by wing flicks. Fly song has frequency ranges audible to the human ear and can be directly listened to after appropriate amplification. When displayed in an oscillogram, audio recordings can be mapped on wing-movement patterns and thus provide a fast and precise method to sample and quantify motor behaviors with high temporal resolution. After recording different fly sounds, their effect on behavior can be tested in playback experiments.

Show more

Feb 2023 • Journal of Power Sources

Lignin-derived bimetallic platinum group metal-free oxygen reduction reaction electrocatalysts for acid and alkaline fuel cells

Mohsin Muhyuddin, Ariel Friedman, Federico Poli, Elisabetta Petri, Hilah Honig, Francesco Basile, Andrea Fasolini, Roberto Lorenzi, Enrico Berretti, Marco Bellini, Alessandro Lavacchi, Lior Elbaz, Carlo Santoro, Francesca Soavi

Metal-nitrogen-carbons (M-N-Cs) as a reliable substitution for platinum-group-metals (PGMs) for oxygen reduction reaction (ORR) are emerging candidates to rationalize the technology of fuel cells. The development of M-N-Cs can further be economized by consuming waste biomass as an inexpensive carbon source for the electrocatalyst support. Herein, we report the simple fabrication and in-depth characterization of electrocatalysts using lignin-derived activated char. The activated char (LAC) was functionalized with metal phthalocyanine (FePc and MnPc) via atmosphere-controlled pyrolysis to produce monometallic M-N-Cs (L_Mn and L_Fe) and bimetallic M1-M2-N-Cs (L_FeMn) electrocatalysts. Raman spectroscopy and transmission electron microscopy (TEM) revealed a defect-rich architecture. XPS confirmed the coexistence of various nitrogen-containing active moieties. L_Fe and L_FeMn demonstrated …

Show more

Feb 2023 • Batteries 9 (2), 110, 2023

Recent Progress in Solid Electrolytes for All-Solid-State Metal (Li/Na)–Sulfur Batteries

Ravindra Kumar Bhardwaj, David Zitoun

Background:This is an early access version, the complete PDF, HTML, and XML versions will be available soon.

Show more

Feb 2023 • Biosensors 13 (3), 304, 2023

Magnetite-Based Biosensors and Molecular Logic Gates: From Magnetite Synthesis to Application

Nataliia Dudchenko, Shweta Pawar, Ilana Perelshtein, Dror Fixler

In the last few decades, point-of-care (POC) sensors have become increasingly important in the detection of various targets for the early diagnostics and treatment of diseases. Diverse nanomaterials are used as building blocks for the development of smart biosensors and magnetite nanoparticles (MNPs) are among them. The intrinsic properties of MNPs, such as their large surface area, chemical stability, ease of functionalization, high saturation magnetization, and more, mean they have great potential for use in biosensors. Moreover, the unique characteristics of MNPs, such as their response to external magnetic fields, allow them to be easily manipulated (concentrated and redispersed) in fluidic media. As they are functionalized with biomolecules, MNPs bear high sensitivity and selectivity towards the detection of target biomolecules, which means they are advantageous in biosensor development and lead to a more sensitive, rapid, and accurate identification and quantification of target analytes. Due to the abovementioned properties of functionalized MNPs and their unique magnetic characteristics, they could be employed in the creation of new POC devices, molecular logic gates, and new biomolecular-based biocomputing interfaces, which would build on new ideas and principles. The current review outlines the synthesis, surface coverage, and functionalization of MNPs, as well as recent advancements in magnetite-based biosensors for POC diagnostics and some perspectives in molecular logic, and it also contains some of our own results regarding the topic, which include synthetic MNPs, their application for sample preparation, and the …

Show more

Feb 2023 • Frontiers in Microbiology

Comparative genomics of Bacillus cereus sensu lato spp. biocontrol strains in correlation to in-vitro phenotypes and plant pathogen antagonistic capacity

Maya Moshe, Chhedi Lal Gupta, Rakeshkumar Manojkumar Jain, Noa Sela, Dror Minz, Ehud Banin, Omer Frenkel, Eddie Cytryn

Bacillus cereus sensu lato (Bcsl) strains are widely explored due to their capacity to antagonize a broad range of plant pathogens. These include B. cereus sp. UW85, whose antagonistic capacity is attributed to the secondary metabolite Zwittermicin A (ZwA). We recently isolated four soil and root-associated Bcsl strains (MO2, S−10, S-25, LSTW-24) that displayed different growth profiles and in-vitro antagonistic effects against three soilborne plant pathogens models: Pythium aphanidermatum (oomycete) Rhizoctonia solani (basidiomycete), and Fusarium oxysporum (ascomycete). To identify genetic mechanisms potentially responsible for the differences in growth and antagonistic phenotypes of these Bcsl strains, we sequenced and compared their genomes, and that of strain UW85 using a hybrid sequencing pipeline. Despite similarities, specific Bcsl strains had unique secondary metabolite and chitinase-encoding genes that could potentially explain observed differences in in-vitro chitinolytic potential and anti-fungal activity. Strains UW85, S-10 and S-25 contained a (~500 Kbp) mega-plasmid that harbored the ZwA biosynthetic gene cluster. The UW85 mega-plasmid contained more ABC transporters than the other two strains, whereas the S-25 mega-plasmid carried a unique cluster containing cellulose and chitin degrading genes. Collectively, comparative genomics revealed several mechanisms that can potentially explain differences in in-vitro antagonism of Bcsl strains toward fungal plant pathogens.

Show more

Feb 2023 • Advanced Materials Technologies

3D printable hydrogel with tunable degradability and mechanical properties as a tissue scaffold for pelvic organ prolapse treatment

Yuxiang Zhu, Tina Kwok, Joel C Haug, Shenghan Guo, Xiangfan Chen, Weiheng Xu, Dharneedar Ravichandran, Yourka D Tchoukalova, Jeffrey L Cornella, Johnny Yi, Orit Shefi, Brent L Vernon, David G Lott, Jessica N Lancaster, Kenan Song

Pelvic organ prolapse (POP) is a dysfunction that affects a large proportion of women. Current support scaffolds’ lack of biocompatibility, biodegradability, and mechanical compliance are associated with surgical complications including erosion and pain, indicating the urgent need for new tissue scaffolds with customizable functions. A new material that uses polyvinyl alcohol (PVA) as the main ingredient and is chemically tuned to possess suitable mechanical properties and degradation rates for the surgical treatment of POP is developed. Specifically, the thiol‐norbornene “click” chemistry enables the sol‐gel transition of the biomaterial under UV‐light without side‐products. Meanwhile, NaOH treatment further toughens the hydrogel with a higher crosslink density. The PVA‐based biocompatible ink can be printed with UV‐facilitated direct ink writing due to the rapidly UV‐initiated chemical crosslink; in situ image …

Show more

Feb 2023 • arXiv preprint arXiv:2302.00726

Quantum engines and refrigerators

Loris Maria Cangemi, Chitrak Bhadra, Amikam Levy

Engines are systems and devices that convert one form of energy into another, typically into a more useful form that can perform work. In the classical setup, physical, chemical, and biological engines largely involve the conversion of heat into work. This energy conversion is at the core of thermodynamic laws and principles and is codified in textbook material. In the quantum regime, however, the principles of energy conversion become ambiguous, since quantum phenomena come into play. As with classical thermodynamics, fundamental principles can be explored through engines and refrigerators, but, in the quantum case, these devices are miniaturized and their operations involve uniquely quantum effects. Our work provides a broad overview of this active field of quantum engines and refrigerators, reviewing the latest theoretical proposals and experimental realizations. We cover myriad aspects of these devices, starting with the basic concepts of quantum analogs to the classical thermodynamic cycle and continuing with different quantum features of energy conversion that span many branches of quantum mechanics. These features include quantum fluctuations that become dominant in the microscale, non-thermal resources that fuel the engines, and the possibility of scaling up the working medium's size, to account for collective phenomena in many-body heat engines. Furthermore, we review studies of quantum engines operating in the strong system-bath coupling regime and those that include non-Markovian phenomena. Recent advances in thermoelectric devices and quantum information perspectives, including quantum measurement …

Show more

Feb 2023 • Angewandte Chemie (International ed. in English)

Peptide Bond Formation in the Protonated Serine Dimer Following Vacuum UV Photon‐Induced Excitation

Ori Licht, Dario Barreiro-Lage, Patrick Rousseau, Alexandre Giuliani, Aleksandar Milosavljevic, Avinoam Isaak, Yitzhak Mastai, Amnon Albeck, Raj Singh, Vy Nguyen, Laurent Nahon, Lara Martinez, Sergio Díaz-Tendero, Yoni Toker

Possible routes for intra-cluster bond formation (ICBF) in protonated serine dimers have been studied. We found no evidence of ICBF following low energy collision induced dissociation (in correspondence with previous works), however, we do observe clear evidence for ICBF following photon absorption in the eV range. Moreover, the comparison of photon induced dissociation measurements of the protonated serine dimer to those of a protonated serine dipeptide provides evidence that ICBF, in this case, involves peptide bond formation (PBF). The experimental results are supported by {\it ab initio} molecular dynamics and exploration of several excited state potential energy surfaces, unravelling a pathway for PBF following photon absorption. The combination of experiments and theory provides insight into the PBF mechanisms in clusters of amino acids, and reveals the importance of electronic excited states reached upon UV/VUV light excitation.

Show more

Feb 2023 • Angewandte Chemie (International ed. in English)

Peptide Bond Formation in the Protonated Serine Dimer Following Vacuum UV Photon‐Induced Excitation

Ori Licht, Dario Barreiro-Lage, Patrick Rousseau, Alexandre Giuliani, Aleksandar Milosavljevic, Avinoam Isaak, Yitzhak Mastai, Amnon Albeck, Raj Singh, Vy Nguyen, Laurent Nahon, Lara Martinez, Sergio Díaz-Tendero, Yoni Toker

Possible routes for intra-cluster bond formation (ICBF) in protonated serine dimers have been studied. We found no evidence of ICBF following low energy collision induced dissociation (in correspondence with previous works), however, we do observe clear evidence for ICBF following photon absorption in the eV range. Moreover, the comparison of photon induced dissociation measurements of the protonated serine dimer to those of a protonated serine dipeptide provides evidence that ICBF, in this case, involves peptide bond formation (PBF). The experimental results are supported by {\it ab initio} molecular dynamics and exploration of several excited state potential energy surfaces, unravelling a pathway for PBF following photon absorption. The combination of experiments and theory provides insight into the PBF mechanisms in clusters of amino acids, and reveals the importance of electronic excited states reached upon UV/VUV light excitation.

Show more

Feb 2023 • ImmunoInformatics

AIRR community curation and standardised representation for immunoglobulin and T cell receptor germline sets

William D Lees, Scott Christley, Ayelet Peres, Justin T Kos, Brian Corrie, Duncan Ralph, Felix Breden, Lindsay G Cowell, Gur Yaari, Martin Corcoran, Gunilla B Karlsson Hedestam, Mats Ohlin, Andrew M Collins, Corey T Watson, Christian E Busse, The AIRR Community

Analysis of an individual's immunoglobulin or T cell receptor gene repertoire can provide important insights into immune function. High-quality analysis of adaptive immune receptor repertoire sequencing data depends upon accurate and relatively complete germline sets, but current sets are known to be incomplete. Established processes for the review and systematic naming of receptor germline genes and alleles require specific evidence and data types, but the discovery landscape is rapidly changing. To exploit the potential of emerging data, and to provide the field with improved state-of-the-art germline sets, an intermediate approach is needed that will allow the rapid publication of consolidated sets derived from these emerging sources. These sets must use a consistent naming scheme and allow refinement and consolidation into genes as new information emerges. Name changes should be minimised, but …

Show more

Feb 2023 • Results in Surfaces and Interfaces

In-situ design of hierarchical durable silica-based coatings on polypropylene films with superhydrophilic, superhydrophobic and self-cleaning properties

Naftali Kanovsky, Taly Iline-Vul, Shlomo Margel

Superhydrophobic surfaces are receiving increasing attention due to their real-world applications. However, these surfaces suffer from a lack of durability and complicated synthetic processes. This research uses a combination of a simple in-situ coating process between oxygen-activated polypropylene films and unreacted silane monomers. The in-situ process uses a modified Stöber method with the addition of the surfactant cetyltrimethylammonium bromide (CTAB) which aggregates silica (SiO 2) particles in a basic aqueous solution. This resulted in a layer of covalently bonded hierarchical coating of individual and aggregated SiO 2 “flakes” and particles. These coatings were found to have at least double the surface roughness than samples prepared without CTAB with superhydrophilic properties due to their high surface roughness and hydrophilic surface chemical groups. A second layer of fluorocarbon silane …

Show more

Feb 2023 • Biomass Conversion and Biorefinery

Biomass-derived Carbon dots and their coated surface as a potential antimicrobial agent

R Blessy Pricilla, Moorthy Maruthapandi, Arulappan Durairaj, Ivo Kuritka, John HT Luong, Aharon Gedanken

Carbon dots (CDs) with an average diameter of 6.3 nm were synthesized from the medicinal seed extract of Syzygium cumini L. using one-pot hydrothermal synthesis. The prepared CDs exhibited excitation-dependent emission characteristics with photoluminescence (PL) emission maxima at an excitation of 340 nm. The CDs at 500 µg/mL displayed antimicrobial activities against four common pathogens. Both Staphylococcus aureus and S. epidermidis were completely eradicated by CDs within 12 h, compared to 24 h for Escherichia coli and Klebsiella pneumonia. The release of various oxygen species (ROS) was postulated to play a critical role in bacterial eradication. The CDs decorated on cotton fabric by ultrasonication also displayed good antibacterial activities against the above bacteria. The finding opens a plausible use of CDs in biomedical textiles with potent antimicrobial properties against both Gram …

Show more

logo
Articali

Powered by Articali

TermsPrivacy