This PrimeView on 3D extrusion bioprinting accompanies the Primer by Zhang et al. and highlights the main stages of the 3D extrusion bioprinting process.
This PrimeView on 3D extrusion bioprinting accompanies the Primer by Zhang et al. and highlights the main stages of the 3D extrusion bioprinting process.
Zn−MnO 2 batteries have attracted extensive attention for grid-scale energy storage applications, however, the energy storage chemistry of MnO 2 in mild acidic aqueous electrolytes remains elusive and controversial. U...
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Zn−MnO 2 batteries have attracted extensive attention for grid-scale energy storage applications, however, the energy storage chemistry of MnO 2 in mild acidic aqueous electrolytes remains elusive and controversial. Using α-MnO 2 as a case study, we developed a methodology by coupling conventional coin batteries with customized beaker batteries to pinpoint the operating mechanism of Zn−MnO 2 batteries. This approach visually simulates the operating state of batteries in different scenarios and allows for a comprehensive study of the operating mechanism of aqueous Zn−MnO 2 batteries under mild acidic conditions. It is validated that the electrochemical performance can be modulated by controlling the addition of Mn 2+ to the electrolyte. The method is utilized to systematically eliminate the possibility of Zn 2+ and/or H + intercalation/de-intercalation reactions, thereby confirming the dominance of the MnO 2 /Mn 2+ dissolution-deposition mechanism. By combining a series of phase and spectroscopic characterizations, the compositional, morphological and structural evolution of electrodes and electrolytes during battery cycling is probed, elucidating the intrinsic battery chemistry of MnO 2 in mild acid electrolytes. Such a methodology developed can be extended to other energy storage systems, providing a universal approach to accurately identify the reaction mechanism of aqueous aluminum-ion batteries as well.
Bacterial biofilm, which can produce cytotoxic metabolites and debris, activate hazardous immune responses, and destroy the microenvironment necessary for skin tissue regeneration, frequently obstructs wound healing. ...
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Bacterial biofilm, which can produce cytotoxic metabolites and debris, activate hazardous immune responses, and destroy the microenvironment necessary for skin tissue regeneration, frequently obstructs wound healing. When bacteria form biofilms, they make extracellular polymeric substances (EPS) and have a dense structure that makes them harder to treat than free bacteria. Anti-biofilm wound dressings are currently advancing the clinical approaches to managing chronic wounds. A MXenes/CuS heterojunction was first prepared using a hydrothermal method and then incorporated into the tip areas of photo-crosslinked methacrylate gelatin (GelMA) microneedles, which had double-layer structures and were termed GTCM microneedles. The results indicated that GTCM microneedles possessed favorable physicochemical characteristics, photothermal efficacy, and biocompatibility. GTCM microneedles, in conjunction with moderate photothermal treatment (MPTT), demonstrated effective broad-spectrum antibacterial and anti-biofilm properties, attributable to extracellular nanozyme-like reactions and intercellular bacterial ferroptosis. GTCM microneedles combined with MPTT could also accelerate S. aureus -infected wound healing via various mechanisms, such as promoting cell proliferation, M2 macrophage polarization, vascularization, and collagen deposition. This study not only developed a MXenes/CuS heterojunction-laden biomolecular microneedle with translational potential but also revealed the ferroptosis interactions between bacterial cells and micro-nano materials.
Inspired by the intriguing capability of beetles to quickly slide on water,scientists have long imagined the use of this surface-tension-gradient-dominated Marangoni motion in various applications,for exam-ple,self-pr...
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Inspired by the intriguing capability of beetles to quickly slide on water,scientists have long imagined the use of this surface-tension-gradient-dominated Marangoni motion in various applications,for exam-ple,self-propulsion.
Surface ligands play an important role in shape-controlled growth and stabilization of colloidal nanocrystals. Their quick removal tends to cause structural deformation and/or aggregation to the nanocrystals. Herein, ...
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Surface ligands play an important role in shape-controlled growth and stabilization of colloidal nanocrystals. Their quick removal tends to cause structural deformation and/or aggregation to the nanocrystals. Herein, we demonstrate that the surface ligand based on poly(vinylpyrrolidone) (PVP) can be slowly removed from Pd nanosheets (NSs, 0.93±0.17 nm in thickness) by simply aging the colloidal suspension. The aged Pd NSs show well-preserved morphology, together with significantly enhanced stability toward both e-beam irradiation and electrocatalysis (e.g., ethanol oxidation). It is revealed that the slow desorption of PVP during aging forces the re-exposed Pd atoms to reorganize, facilitating the surface to transform from being nearly perfect to defect-rich. The resultant Pd NSs with abundant defects no longer rely on surface ligand to stabilize the atomic arrangement and thus show excellent structural and electrochemical stability. This work provides a facile and effective method to maintain the integrity of colloidal nanocrystals by slowly removing the surface ligand.
Charge density waves (CDWs) involved with electronic and phononic subsystems simultaneously are a common quantum state in solid-state physics, especially in low-dimensional materials. However, CDW phase dynamics in va...
Due to the presence of natural neoantigens, autologous tumor cells hold great promise as personalized therapeutic vaccines. Yet autologous tumor cell vaccines require multi-step production that frequently leads to the...
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Due to the presence of natural neoantigens, autologous tumor cells hold great promise as personalized therapeutic vaccines. Yet autologous tumor cell vaccines require multi-step production that frequently leads to the loss of immunoreactive antigens, causing insufficient immune activation and significantly hampering their clinical applications. Herein, we introduce a novel whole-cell cancer vaccine by cloaking cancer cells with lipopolysaccharide-decorated manganese(II)-phenolic networks (MnTA nanocloaks) to evoke tumor-specific immune response for highly efficacious synergistic cancer immunotherapy. The natural polyphenols coordinate with Mn 2+ and immediately adhere to the surface of individual cancer cells, thereby forming a nanocloak and encapsulating tumor neoantigens. Subsequent decoration with lipopolysaccharide induces internalization by dendritic cells, where Mn 2+ ions are released in the cytosol, further facilitating the activation of the stimulator of the interferon genes (STING) pathway. Highly effective tumor suppression was observed by combining the nanocloaked cancer cell treatment with anti-programmed cell death ligand 1 (anti-PD-L1) antibodies-mediated immune checkpoint blockade therapy. Our work demonstrates a universal yet simple strategy to engineer a cell-based nanobiohybrid system for enhanced cancer immunotherapy.
Counterfeiting of quality rice was rife in Indonesia. This research was conducted to develop technology to identify differences in premium and non-premium rice quality based on pre-existing digital images. Artificial ...
Counterfeiting of quality rice was rife in Indonesia. This research was conducted to develop technology to identify differences in premium and non-premium rice quality based on pre-existing digital images. Artificial neural networks and digital image processing methods to identify premium and medium (non-premium) rice quality were applied in this research. Statistical analysis of this study used the SPSS program. This research is observation-type research. This research design uses an artificial neural network with uses 3 layers, namely the results of shape feature extraction on the metric, eccentricity, area, and perimeter parameters as input or input layers, hidden or hidden layers, and premium rice and non-premium (medium) rice as output or output layers. This research uses 52 images as training and 20 images as testing. The obtained image was taken at a distance of 25 cm. This research showed that the results of training using artificial neural networks (ANN) on 52 images obtained an accuracy of 92%. The test results using 20 images obtained 95% accuracy, 63.33% sensitivity, and 10% specificity. Based on statistical analysis using the Mann-Whitney test, it obtained the asymph value. Sig (2-tailed) < 0.05 indicates the difference between premium and non-premium rice using metric, eccentricity, perimeter, and area parameters.
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