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Dec 2023 • Israel Journal of Chemistry 63 (12), e202400002, 2023

Advancing the Understanding of Surface Science through Nonlinear Optics and Electrochemistry

Adi Salomon, Malachi Noked, Menny Shalom

Surface characterization is essential for understanding chemical and electrochemical transformations occurring on surfaces or at interfaces. Battery electrode aging processes, biofilm growth, crystallization, and transport/signaling across cellular membranes are only a few examples of such phenomena. This special issue delves into applied electrochemistry and nonlinear optical techniques applicable to surface characterization.

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Dec 2023 • Electrochimica Acta

Iron doped cobalt nickel layered double hydroxide supported on nickel foam as a robust electrocatalyst for highly efficient water oxidation in alkaline sea water

Akanksha Gupta, Hari Krishna Sadhanala, Aharon Gedanken

The seawater electrolysis is an economically favorable approach for water splitting application because seawater is one of the plentiful abundant natural resources on our earth. In water splitting pathway, the anodic half-cell reaction from seawater stills a challenging task due to anodic corrosion and the competitive chloride oxidation process. In the current study, we prepared flower-shaped porous nanorods of iron doped cobalt nickel layered double hydroxide supported on nickel foam (Fe0.05 CoNi LDH/NF), which require very less oxygen evolution reaction (OER) overpotential in 1M KOH (212mV) and alkaline seawater (287mV) to deliver 10 mAcm−2 current density and exhibited remarkable 14h durability. At the same time, post treated sample reveals the better OER activity after chronopotentiometry analysis, because of superior conductivity and corrosion-resistance of the electrocatalyst. The doping of Fe cation …

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Dec 2023 • ACS Omega

Monte Carlo-Simulated Annealing and Machine Learning-Based Funneled Approach for Finding the Global Minimum Structure of Molecular Clusters

Michal Roth, Yoni Toker, Dan T Major

Understanding the physical underpinnings and geometry of molecular clusters is of great importance in many fields, ranging from studying the beginning of the universe to the formation of atmospheric particles. To this end, several approaches have been suggested, yet identifying the most stable cluster geometry (i.e., global potential energy minimum) remains a challenge, especially for highly symmetric clusters. Here, we suggest a new funneled Monte Carlo-based simulated annealing (SA) approach, which includes two key steps: generation of symmetrical clusters and classification of the clusters according to their geometry using machine learning (MCSA-ML). We demonstrate the merits of the MCSA-ML method in comparison to other approaches on several Lennard-Jones (LJ) clusters and four molecular clusters─Ser8(Cl–)2, H+(H2O)6, Ag+(CO2)8, and Bet4Cl–. For the latter of these clusters, the correct …

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Dec 2023 • Applied Optics

Multi-harmonic structured illumination-based optical diffraction tomography

Ruihua Liu, Kai Wen, Jiaoyue Li, Ying Ma, Juanjuan Zheng, Sha An, Junwei Min, Zeev Zalevsky, Baoli Yao, Peng Gao

Imaging speed and spatial resolution are key factors in optical diffraction tomography (ODT), while they are mutually exclusive in 3D refractive index imaging. This paper presents a multi-harmonic structured illumination-based optical diffraction tomography (MHSI-ODT) to acquire 3D refractive index (RI) maps of transparent samples. MHSI-ODT utilizes a digital micromirror device (DMD) to generate structured illumination containing multiple harmonics. For each structured illumination orientation, four spherical spectral crowns are solved from five phase-shifted holograms, meaning that the acquisition of each spectral crown costs 1.25 raw images. Compared to conventional SI-ODT, which retrieves two spectral crowns from three phase-shifted raw images, MHSI-ODT enhances the imaging speed by 16.7% in 3D RI imaging. Meanwhile, MHSI-ODT exploits both the 1st-order and the 2nd-order harmonics; therefore, it …

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Dec 2023 • International Journal of Molecular Sciences

Nicotinamide-expanded allogeneic natural killer cells with CD38 deletion, expressing an enhanced CD38 chimeric antigen receptor, target multiple myeloma cells

Avishay Edri, Nimrod Ben-Haim, Astar Hailu, Nurit Brycman, Orit Berhani-Zipori, Julia Rifman, Sherri Cohen, Dima Yackoubov, Michael Rosenberg, Ronit Simantov, Hideshima Teru, Keiji Kurata, Kenneth Carl Anderson, Ayal Hendel, Aviad Pato, Yona Geffen

Natural killer (NK) cells are a vital component of cancer immune surveillance. They provide a rapid and potent immune response, including direct cytotoxicity and mobilization of the immune system, without the need for antigen processing and presentation. NK cells may also be better tolerated than T cell therapy approaches and are susceptible to various gene manipulations. Therefore, NK cells have become the focus of extensive translational research. Gamida Cell’s nicotinamide (NAM) platform for cultured NK cells provides an opportunity to enhance the therapeutic potential of NK cells. CD38 is an ectoenzyme ubiquitously expressed on the surface of various hematologic cells, including multiple myeloma (MM). It has been selected as a lead target for numerous monoclonal therapeutic antibodies against MM. Monoclonal antibodies target CD38, resulting in the lysis of MM plasma cells through various antibody-mediated mechanisms such as antibody-dependent cellular cytotoxicity (ADCC), complement-dependent cytotoxicity, and antibody-dependent cellular phagocytosis, significantly improving the outcomes of patients with relapsed or refractory MM. However, this therapeutic strategy has inherent limitations, such as the anti-CD38-induced depletion of CD38-expressing NK cells, thus hindering ADCC. We have developed genetically engineered NK cells tailored to treat MM, in which CD38 was knocked-out using CRISPR-Cas9 technology and an enhanced chimeric antigen receptor (CAR) targeting CD38 was introduced using mRNA electroporation. This combined genetic approach allows for an improved cytotoxic activity directed against …

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Dec 2023 • ACS Omega

Monte Carlo-Simulated Annealing and Machine Learning-Based Funneled Approach for Finding the Global Minimum Structure of Molecular Clusters

Michal Roth, Yoni Toker, Dan T Major

Understanding the physical underpinnings and geometry of molecular clusters is of great importance in many fields, ranging from studying the beginning of the universe to the formation of atmospheric particles. To this end, several approaches have been suggested, yet identifying the most stable cluster geometry (i.e., global potential energy minimum) remains a challenge, especially for highly symmetric clusters. Here, we suggest a new funneled Monte Carlo-based simulated annealing (SA) approach, which includes two key steps: generation of symmetrical clusters and classification of the clusters according to their geometry using machine learning (MCSA-ML). We demonstrate the merits of the MCSA-ML method in comparison to other approaches on several Lennard-Jones (LJ) clusters and four molecular clusters─Ser8(Cl–)2, H+(H2O)6, Ag+(CO2)8, and Bet4Cl–. For the latter of these clusters, the correct …

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Dec 2023 • Optics Letters

Synchrotron-based x ray fluorescence ghost imaging

Mathieu Manni, Adi Ben-Yehuda, Yishai Klein, Bratislav Lukic, Andrew Kingston, Alexander Rack, Sharon Shwartz, Nicola Viganò

X ray fluorescence ghost imaging (XRF-GI) was recently demonstrated for x ray lab sources. It has the potential to reduce the acquisition time and deposited dose by choosing their trade-off with a spatial resolution while alleviating the focusing constraints of the probing beam. Here, we demonstrate the realization of synchrotron-based XRF-GI: we present both an adapted experimental setup and its corresponding required computational technique to process the data. This extends the above-mentioned potential advantages of GI to synchrotron XRF imaging. In addition, it enables new strategies to improve resilience against drifts at all scales and the study of previously inaccessible samples, such as liquids.

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Dec 2023 • Electrocatalysis for Membrane Fuel Cells: Methods, Modeling and Applications …, 2023

Design of PGM‐free ORR Catalysts: From Molecular to the State of the Art

Naomi Levy, Lior Elbaz

The state‐of‐the‐art Platinum group metal (PGM)‐free oxygen reduction reaction (ORR) catalysts have been synthesized using the pyrolysis of iron, nitrogen, and carbon precursors, and result in highly active ORR catalysts, but their undefined structure limits their further development. Since the inspiration for these catalysts came from well‐defined structures of transition metal complexes, it is important to understand the various parameters that govern the reaction potential, selectivity, and the stability with well‐defined catalysts and try to extrapolate them to the pyrolyzed catalysts. In this chapter, we give an overview of the parameters that influence the catalysis of ORR with well‐defined ORR catalysts. These can later be used to further enhance the performance of the state‐of‐the‐art PGM‐free ORR catalysts.

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Dec 2023 • Electrochemical Society Meeting Abstracts 244

Rationally Designed Spherical V2O5 Encapsulated by 2d-VS2 as High Capacity Insertion Cathode for Mg-Ion Battery

Ayan Mukherjee, Sankalpita Chakrabarty, Malachi Noked

Owing to high energy density and economic viability, rechargeable Mg-ion batteries (MIB) are considered as alternative to lithium-ion batteries. However, beside chevrel phase, none of conventional inorganic cathode materials demonstrate reversible intercalation/deintercalation of Mg+2 ions in anhydrous electrolyte system. The lack of high voltage and high-capacity cathode frustrates the realization of MIB. Previous studies indicated that vanadium pentoxide (V2O5) has potential to reversibly insert\extract Mg ions. However, many attempts to utilize V2O5 demonstrated limited electrochemical response, due to hindered Mg ion mobility in solid. Herein, we demonstrated a tailored approach to synthesize uniformly dispersed spherical V2O5 homogeneously coated with 2D VS2 through a facile in-situ chemical method and study the electrochemical activity in 0.2 M Mg(TFSI)2 + MgCl2 in DME electrolyte system and …

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Dec 2023 • Journal of Biological Engineering

A streptavidin–biotin system combined with magnetic actuators for remote neuronal guidance

Dafna Rivka Levenberg, Eli Varon, Ganit Indech, Tal Ben Uliel, Lidor Geri, Amos Sharoni, Orit Shefi

The ability to control neuronal mobility and organization is of great importance in developing neuronal interfaces and novel therapeutic approaches. An emerging promising method is the manipulation of neuronal cells from afar via magnetic forces. Nevertheless, using magnetic iron oxide nanoparticles as internal actuators may lead to biotoxicity, adverse influence on intracellular processes, and thus requires prerequisite considerations for therapeutic approaches. Magnetizing the cells via the incorporation of magnetic particles that can be applied extracellularly is advantageous. Herein, we have developed a magnetic system based on streptavidin–biotin interaction to decorate cellular membrane with magnetic elements. In this model, superparamagnetic microparticles, coated with streptavidin, were specifically bound to biotinylated PC12 cells. We demonstrated that cell movement can be directed remotely by the forces produced by pre-designed magnetic fields. First, using time lapse imaging, we analyzed the kinetics of cell migration towards the higher flux zone. Next, to form organized networks of cells we designed and fabricated micro-patterned magnetic devices. The fabricated devices were composed of a variety of ferromagnetic shapes, sputter-deposited onto glass substrates. Cells that were conjugated to the magnetic particles were plated atop the micro-patterned substrates, attracted to the magnetic actuators and became fixed onto the magnetic patterns. In all, our study presents a novel system based on a well-known molecular technology combined with nanotechnology that may well lead to the expansion of implantable magnetic …

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Dec 2023 • Applied Optics

Multi-harmonic structured illumination-based optical diffraction tomography

Ruihua Liu, Kai Wen, Jiaoyue Li, Ying Ma, Juanjuan Zheng, Sha An, Junwei Min, Zeev Zalevsky, Baoli Yao, Peng Gao

Imaging speed and spatial resolution are key factors in optical diffraction tomography (ODT), while they are mutually exclusive in 3D refractive index imaging. This paper presents a multi-harmonic structured illumination-based optical diffraction tomography (MHSI-ODT) to acquire 3D refractive index (RI) maps of transparent samples. MHSI-ODT utilizes a digital micromirror device (DMD) to generate structured illumination containing multiple harmonics. For each structured illumination orientation, four spherical spectral crowns are solved from five phase-shifted holograms, meaning that the acquisition of each spectral crown costs 1.25 raw images. Compared to conventional SI-ODT, which retrieves two spectral crowns from three phase-shifted raw images, MHSI-ODT enhances the imaging speed by 16.7% in 3D RI imaging. Meanwhile, MHSI-ODT exploits both the 1st-order and the 2nd-order harmonics; therefore, it …

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Dec 2023 • Nature Catalysis

Modifying Fe–N interaction to boost catalytic performance

Ulrike I Kramm, Lior Elbaz

Iron–nitrogen–carbon (FeNC) catalysts are a viable alternative to platinum, but still lack the necessary performance. Now, pyrolysis under forming gas is found as a path to boosting their site density, activity and durability.

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Dec 2023 • Advanced Materials Technologies

Biolistic Delivery of Photosensitizer‐Loaded Porous Si Carriers for Localized Photodynamic Therapy (Adv. Mater. Technol. 23/2023)

Elina Haimov‐Talmoud, Michal Rosenberg, Sofia Arshavsky‐Graham, Eli Varon, Orit Shefi, Ester Segal

Highly localized photodynamic therapy (PDT) is achieved by biolistic delivery of photosensitizer-loaded porous silicon microparticles directly into solid tumors, as demonstrated by Orit Shefi, Ester Segal, and co-workers in article 2300877. PDT irradiation following the uptake of the released photosensitizer payload induce substantial inhibition of tumor growth in vivo, opening new possibilities for an improved clinical PDT treatment.

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Dec 2023 • arXiv preprint arXiv:2312.10367

Covariant field lines: a geometrical approach to electrodynamics

Yaron Hadad, Ido Kaminer, Aharon Elitzur, Eliahu Cohen

This paper revisits the geometric foundations of electromagnetic theory, by studying Faraday's concept of field lines. We introduce "covariant electromagnetic field lines," a novel construct that extends traditional field line concepts to a covariant framework. Our work includes the derivation of a closed-form formula for the field line curvature in proximity to a moving electric charge, showcasing the curvature is always non-singular, including nearby a point charge. Our geometric framework leads to a geometric derivation of the Lorentz force equation and its first-order corrections, circumventing the challenges of self-force singularities and providing insights into the problem of radiation-reaction. This study not only provides a fresh geometric perspective on electromagnetic field lines but also opens avenues for future research in fields like quantum electrodynamics, gravitational field theory, and beyond.

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Dec 2023 • British and Irish Conference on Optics and Photonics, PS. 15, 2023

Solid-State Polymer based 1D and 2D Tunable Random Laser in visible spectrum

Bhupesh Kumar, Sebastian A Schulz, Patrick Sebbah

We report tunable random lasing in 2D and 1D solid-state polymer-based dye-doped random lasers. In 2D configuration, we show that the laser emission can be red-shifted by either decreasing scatterer density or increasing pump area. In 1D system, we demonstrate temperature-controlled spectral tunability of a partially-pumped single-wavelength random laser.

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Dec 2023 • Journal of Biological Engineering

A streptavidin–biotin system combined with magnetic actuators for remote neuronal guidance

Dafna Rivka Levenberg, Eli Varon, Ganit Indech, Tal Ben Uliel, Lidor Geri, Amos Sharoni, Orit Shefi

The ability to control neuronal mobility and organization is of great importance in developing neuronal interfaces and novel therapeutic approaches. An emerging promising method is the manipulation of neuronal cells from afar via magnetic forces. Nevertheless, using magnetic iron oxide nanoparticles as internal actuators may lead to biotoxicity, adverse influence on intracellular processes, and thus requires prerequisite considerations for therapeutic approaches. Magnetizing the cells via the incorporation of magnetic particles that can be applied extracellularly is advantageous. Herein, we have developed a magnetic system based on streptavidin–biotin interaction to decorate cellular membrane with magnetic elements. In this model, superparamagnetic microparticles, coated with streptavidin, were specifically bound to biotinylated PC12 cells. We demonstrated that cell movement can be directed remotely by the forces produced by pre-designed magnetic fields. First, using time lapse imaging, we analyzed the kinetics of cell migration towards the higher flux zone. Next, to form organized networks of cells we designed and fabricated micro-patterned magnetic devices. The fabricated devices were composed of a variety of ferromagnetic shapes, sputter-deposited onto glass substrates. Cells that were conjugated to the magnetic particles were plated atop the micro-patterned substrates, attracted to the magnetic actuators and became fixed onto the magnetic patterns. In all, our study presents a novel system based on a well-known molecular technology combined with nanotechnology that may well lead to the expansion of implantable magnetic …

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Dec 2023 • Advanced Optical Materials 11 (5), 2201475, 2023

Linear and Nonlinear Optical Properties of Well‐Defined and Disordered Plasmonic Systems: A Review

Racheli Ron, Tchiya Zar, Adi Salomon

Disordered metallic nanostructures have features that are not realized in well‐defined nanometallic counterparts, such as broadband light localization and inhomogeneous refraction index at the nanoscale. Disordered metal systems with a networked inner architecture have both particles and voids with subwavelength dimensions which are randomly 3D organized in space. These disordered structures are benefited from high surface area and damage stability, permit guest materials permeability, and can be achieved in large scales employing less costs and expertise. Their abundant nanosize gaps and sharp tips can interact with incident light over a broadband range to generate a rich pattern of hot‐spots and can therefore function as an artificial leaf, for example. Here, the linear and nonlinear optical properties of both well‐defined and disordered plasmonic structures are reviewed with a focus on largescale 3D …

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Dec 2023 • Electrocatalysis for Membrane Fuel Cells: Methods, Modeling and Applications …, 2023

Design of PGM‐free ORR Catalysts: From Molecular to the State of the Art

Naomi Levy, Lior Elbaz

The state‐of‐the‐art Platinum group metal (PGM)‐free oxygen reduction reaction (ORR) catalysts have been synthesized using the pyrolysis of iron, nitrogen, and carbon precursors, and result in highly active ORR catalysts, but their undefined structure limits their further development. Since the inspiration for these catalysts came from well‐defined structures of transition metal complexes, it is important to understand the various parameters that govern the reaction potential, selectivity, and the stability with well‐defined catalysts and try to extrapolate them to the pyrolyzed catalysts. In this chapter, we give an overview of the parameters that influence the catalysis of ORR with well‐defined ORR catalysts. These can later be used to further enhance the performance of the state‐of‐the‐art PGM‐free ORR catalysts.

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Dec 2023 • Laser & Photonics Reviews

Roadmap on Label‐Free Super‐Resolution Imaging (Laser Photonics Rev. 17 (12)/2023)

Vasily N Astratov, Yair Ben Sahel, Yonina C Eldar, Luzhe Huang, Aydogan Ozcan, Nikolay Zheludev, Junxiang Zhao, Zachary Burns, Zhaowei Liu, Evgenii Narimanov, Neha Goswami, Gabriel Popescu, Emanuel Pfitzner, Philipp Kukura, Yi‐Teng Hsiao, Chia‐Lung Hsieh, Brian Abbey, Alberto Diaspro, Aymeric LeGratiet, Paolo Bianchini, Natan T Shaked, Bertrand Simon, Nicolas Verrier, Matthieu Debailleul, Olivier Haeberlé, Sheng Wang, Mengkun Liu, Yeran Bai, Ji‐Xin Cheng, Behjat S Kariman, Katsumasa Fujita, Moshe Sinvani, Zeev Zalevsky, Xiangping Li, Guan‐Jie Huang, Shi‐Wei Chu, Omer Tzang, Dror Hershkovitz, Ori Cheshnovsky, Mikko J Huttunen, Stefan G Stanciu, Vera N Smolyaninova, Igor I Smolyaninov, Ulf Leonhardt, Sahar Sahebdivan, Zengbo Wang, Boris Luk'yanchuk, Limin Wu, Alexey V Maslov, Boya Jin, Constantin R Simovski, Stephane Perrin, Paul Montgomery, Sylvain Lecler

In article number 2200029, Vasily Astratov and colleagues representing 27 research teams worldwide created a roadmap on label-free super-resolution imaging. Its scope spans from diffraction-limited interference detection techniques to methods allowing to overcome classical diffraction limit without using fluorescent markers, which are based on information science; structured illumination; near-field, nonlinear, and transformation optics; and advanced superlens designs. Cover images are provided by Aydogan Ozcan and Nikolay Zheludev participating in this Roadmap.

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Nov 2023 • Ultrasonics Sonochemistry

Ultrasonic-assisted synthesis of lignin-capped Cu2O nanocomposite with antibiofilm properties

Moorthy Maruthapandi, Akanksha Gupta, Arumugam Saravanan, Gila Jacobi, Ehud Banin, John HT Luong, Aharon Gedanken

Under ultrasonication, cuprous oxide (Cu2O) microparticles (<5 µm) were fragmented into nanoparticles (NPs, ranging from 10 to 30 nm in diameter), and interacted strongly with alkali lignin (Mw= 10 kDa) to form a nanocomposite. The ultrasonic wave generates strong binding interaction between lignin and Cu2O. The L-Cu nanocomposite exhibited synergistic effects with enhanced antibiofilm activities against E. coli, multidrug-resistant (MDR) E. coli, S. aureus (SA), methicillin-resistant SA, and P. aeruginosa (PA). The lignin-Cu2O (L-Cu) nanocomposite also imparted notable eradication of such bacterial biofilms. Experimental evidence unraveled the destruction of bacterial cell walls by L-Cu, which interacted strongly with the bacterial membrane. After exposure to L-Cu, the bacterial cells lost the integrated structural morphology. The estimated MIC for biofilm inhibition for the five tested pathogens was 1 mg/mL L …

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Nov 2023 • Journal of the American Chemical Society

Near-temperature-independent electron transport well beyond expected quantum tunneling range via bacteriorhodopsin multilayers

Sudipta Bera, Jerry A Fereiro, Shailendra K Saxena, Domenikos Chryssikos, Koushik Majhi, Tatyana Bendikov, Lior Sepunaru, David Ehre, Marc Tornow, Israel Pecht, Ayelet Vilan, Mordechai Sheves, David Cahen

A key conundrum of biomolecular electronics is efficient electron transport (ETp) through solid-state junctions up to 10 nm, often without temperature activation. Such behavior challenges known charge transport mechanisms, especially via nonconjugated molecules such as proteins. Single-step, coherent quantum-mechanical tunneling proposed for ETp across small protein, 2–3 nm wide junctions, but it is problematic for larger proteins. Here we exploit the ability of bacteriorhodopsin (bR), a well-studied, 4–5 nm long membrane protein, to assemble into well-defined single and multiple bilayers, from ∼9 to 60 nm thick, to investigate ETp limits as a function of junction width. To ensure sufficient signal/noise, we use large area (∼10–3 cm2) Au–protein–Si junctions. Photoemission spectra indicate a wide energy separation between electrode Fermi and the nearest protein-energy levels, as expected for a polymer of …

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