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Black phosphorus is a two-dimensional material of great interest, in part because of its high carrier mobility and thickness dependent direct bandgap. However, its instability under ambient conditions limits material deposition options for device fabrication. Here we show a black phosphorus ink that can be reliably inkjet printed, enabling scalable development of optoelectronic and photonic devices. Our binder-free ink suppresses coffee ring formation through induced recirculating Marangoni flow, and supports excellent consistency (< 2% variation) and spatial uniformity (< 3.4% variation), without substrate pre-treatment. Due to rapid ink drying (< 10 s at < 60 °C), printing causes minimal oxidation. Following encapsulation, the printed black phosphorus is stable against long-term (> 30 days) oxidation. We demonstrate printed black phosphorus as a passive switch for ultrafast lasers, stable against intense irradiation, and as a visible to near-infrared photodetector with high responsivities. Our work highlights the promise of this material as a functional ink platform for printed devices. Atomically thin black phosphorus shows promise for optoelectronics and photonics, yet its instability under environmental conditions and the lack of well-established large-area synthesis protocols hinder its applications. Here, the authors demonstrate a stable black phosphorus ink suitable for printed ultrafast lasers and photodetectors.

Spectrometers with ever-smaller footprints are sought after for a wide range of applications in which minimized size and weight are paramount, including emerging in situ characterization techniques. We report on an ultracompact microspectrometer design based on a single compositionally engineered nanowire. This platform is independent of the complex optical components or cavities that tend to constrain further miniaturization of current systems. We show that incident spectra can be computationally reconstructed from the different spectral response functions and measured photocurrents along the length of the nanowire. Our devices are capable of accurate, visible-range monochromatic and broadband light reconstruction, as well as spectral imaging from centimeter-scale focal planes down to lensless, single-cell–scale in situ mapping.

A solar cell's internal quantum efficiency (IQE) measurement reveals critical information about the device's performance. This information can be obtained using a qualitative analysis of the shape of the curve, identifying and attributing current losses such as at the front and rear interfaces, and extracting key electrical and optical performance parameters. However, conventional methods to extract the performance parameters from IQE measurements are often time‐consuming and require manual fitting approaches. While several methodologies exist to extract those parameters from silicon solar cells, there is a lack of accessible approaches for non‐silicon cell technologies, like gallium arsenide cells, typically limiting the analysis to only the qualitative level. Therefore, this study proposes using a deep learning method to automatically predict multiple key parameters from IQE measurements of gallium arsenide cells. The proposed method is demonstrated to achieve a very high level of prediction accuracy across the entire range of parameter values and exhibits a high resilience for noisy measurements. By enhancing the quantitative analysis of IQE measurements, the method will unlock the full potential of quantum efficiency measurements as a powerful characterization tool for diverse solar cell technologies. The powerful application of deep learning is used in the analysis of internal quantum efficiency measurements from gallium arsenide solar cells. The novel approach not only automates the process with remarkable accuracy but also proves resilient against high levels of noise typically found in measurements.

Early diagnosis in exhaled breath is a key technology for next-generation personal healthcare monitoring. Current chemiresistive sensors, primarily based on metal oxide (MOx) thin films, have limited applicability in such portable systems due to their high power consumption, long recovery time, poor device-to-device consistency, and baseline drifts. To address these challenges for ammonia ( NH 3 ) detection in exhaled breath, a critical biomarker for a variety of kidney and liver problems, we present a formulation of a graphene–MOx functional ink-based sensing platform. We integrate our sensing layer directly onto miniaturized CMOS microhotplates (μHP) via inkjet printing, potentially enabling scalability and device-to-device performance repeatability. Using stage-by-stage temporal analysis, and a temperature-pulsed modulation (TM) strategy, we achieve ultrahigh responsivity (1500% at 10 ppm pure NH 3 ), fast response and recovery time (28 and 43 s), ultralow power consumption (~6 mW), negligible baseline drift (<0.67%), excellent cross-device and cross-cycle consistency (<0.5% and <0.41% variation in responsivity) and long-term stability (<1% variation) in our graphene–zinc oxide (ZnO) formulation, outperforming conventional MOx chemiresistive sensors. We further mitigate the effect of humidity through our measurement protocols, while interference from acetone is compensated through the parallel deployment of an additional inkjet printed graphene–tungsten oxide ( WO 3 ) device as part of the sensor array. Our dual graphene–MOx formulations and their integration with ultralow power CMOS through inkjet printing represent a significant step towards reliable and portable multi-analyte breath diagnostics.

Printing has drawn a lot of attention as a means of low per-unit cost and high throughput patterning of graphene inks for scaled-up thin-form factor device manufacturing. However, traditional printing processes require a flat surface and are incapable of achieving patterning on to 3D objects. Here, we present a conformal printing method to achieve functional graphene-based patterns on to arbitrarily-shaped surfaces. Using experimental design, we formulate a water-insoluble graphene ink with optimum conductivity. We then print single and multi-layered electrically functional structures on to a sacrificial layer using conventional screen printing. The print is then floated on water, allowing the dissolution of the sacrificial layer, while retaining the functional patterns. The single and multilayer patterns can then be directly transferred on to arbitrarily-shaped 3D objects without requiring any post deposition processing. Using this technique, we demonstrate conformal printing of single and multilayer functional devices that include joule heaters, resistive strain sensors and proximity sensors on hard, flexible and soft substrates, such as glass, latex, thermoplastics, textiles, and even candies and marshmallows. Our simple strategy offers great promises to add new device and sensing functionalities to previously inert 3D surfaces.

Recent breakthroughs in cancer immunotherapies have emphasized the importance of harnessing the immune system for treating cancer. Vaccines, which have traditionally been used to promote protective immunity against pathogens, are now being explored as a method to target cancer neoantigens. Over the past few years, extensive preclinical research and more than a hundred clinical trials have been dedicated to investigating various approaches to neoantigen discovery and vaccine formulations, encouraging development of personalized medicine. Nucleic acids (DNA and mRNA) have become particularly promising platform for the development of these cancer immunotherapies. This shift towards nucleic acid-based personalized vaccines has been facilitated by advancements in molecular techniques for identifying neoantigens, antigen prediction methodologies, and the development of new vaccine platforms. Generating these personalized vaccines involves a comprehensive pipeline that includes sequencing of patient tumor samples, data analysis for antigen prediction, and tailored vaccine manufacturing. In this review, we will discuss the various shared and personalized antigens used for cancer vaccine development and introduce strategies for identifying neoantigens through the characterization of gene mutation, transcription, translation and post translational modifications associated with oncogenesis. In addition, we will focus on the most up-to-date nucleic acid vaccine platforms, discuss the limitations of cancer vaccines as well as provide potential solutions, and raise key clinical and technical considerations in vaccine development.

Abnormal accumulation of alpha-synuclein (αSyn) in axons and presynaptic terminals plays a critical role in αSyn-mediated dopaminergic neurodegeneration. A strong correlation between aging and elevated αSyn levels in the substantia nigra has been identified in both humans and non-human primates. Aging is the most prominent risk factor for Parkinson’s disease (PD), contributing to nigrostriatal dopamine degeneration and motor impairments. Therefore, reducing intracellular αSyn accumulation in affected neurons may help prevent nigrostriatal degeneration, preserve dopaminergic function, and delay PD onset in aging individuals. Our previous works demonstrated that adeno-associated virus 1 (AAV1)-mediated NAC32 intrabody expression effectively reduced αSyn accumulation and alleviated bradykinesia in young adult rats overexpressing αSyn in the substantia nigra. This study aimed to investigate whether AAV-mediated NAC32 intrabody expression in the substantia nigra could ameliorate αSyn-associated dopaminergic dysfunction and improve age-related motor deficits in aged rats. We first investigated the mechanism by which NAC32 reduces αSyn levels. Comparisons of αSyn burden, tyrosine hydroxylase (TH) expression, and locomotor activity were made between young and aged rats. In aged rats, we evaluated behavioral performance, dopaminergic markers, and synaptic markers following AAV1-NAC32 gene delivery into the substantia nigra. Our results showed that the NAC32-mediated αSyn reduction was not prevented by inhibition of proteasomal, lysosomal, or autophagic pathways and was associated with reduced αSyn mRNA levels. Aged rats exhibited decreased locomotor activity, elevated αSyn levels, and reduced TH expression in the substantia nigra. NAC32 intrabody expression in the substantia nigra significantly reduced αSyn accumulation, restored TH expression, increased synaptic markers and striatal dopamine levels, and improved locomotor performance in aged rats. These effects occurred without detectable elevation of pro-inflammatory cytokine levels in bulk striatal tissue. Our findings suggest that AAV-mediated NAC32 intrabody expression in the substantia nigra may serve as a therapeutic strategy to mitigate αSyn-induced dopaminergic dysfunction and motor impairments associated with aging. These results highlight the therapeutic potential of intrabody-based gene therapy for PD and other αSyn-related disorders.

This study systematically benchmarks the performance of four single soft magnetic powders—water-atomized Fe–Si–Cr (FeSiCr), silica-coated reduced iron powder (RIP), silica-coated carbonyl iron powder (CIP), and phosphate-coated CIP (CIP-P)—to establish quantitative relationships between powder attributes, deformation substructure, and high-frequency loss for molded power inductors (100 kHz–1 MHz). We prepared toroidal compacts at 200 MPa and characterized them by initial permeability (μi), core-loss (Pcv(f)), partitioning (Pcv(f) = Khf + Kef2, Kh, Ke: hysteresis and eddy-current loss coefficients), and EBSD (electron backscatter diffraction)-derived microstrain metrics (Kernel Average Misorientation, KAM; low-/high-angle grain-boundary fractions). Corrosion robustness was assessed using a 5 wt% NaCl, 35 °C, 24 h salt-spray protocol. Our findings reveal that FeSiCr achieves the highest μi across the frequency band, despite its lowest compaction density. This is attributed to its coarse particle size (D50 ≈ 18 µm) and the resulting lower intragranular pinning. The loss spectra are dominated by hysteresis over this frequency range, with FeSiCr exhibiting the largest Kh, while the fine, silica-insulated Fe powders (RIP/CIP) most effectively suppress Ke. EBSD analysis shows that the high coercivity and hysteresis loss in CIP (and, to a lesser extent, RIP) are correlated with dense, deformation-induced subgrain networks, as evidenced by higher mean KAM and a lower low-angle grain boundary fraction. In contrast, FeSiCr exhibits the lowest KAM, with strain confined primarily to particle contact regions. Corrosion testing ranked durability as FeSiCr ≳ CIP ≈ RIP ≫ CIP-P, which is consistent with the Cr-rich passivation of FeSiCr and the superior barrier properties of the SiO2 shells compared to low-dose phosphate. At 15 A, inductance retention ranks CIP (67.9%) > RIP (55.7%) > CIP-P (48.8%) > FeSiCr (33.2%), tracking a rise in effective anisotropy and—for FeSiCr—lower Ms that precipitate earlier roll-off. Collectively, these results provide a microstructure-informed selection map for single-powder formulations. We demonstrate that particle size and shell chemistry are the primary factors governing eddy currents (Ke), while the KAM-indexed substructure dictates hysteresis loss (Kh) and DC-bias superposition characteristics. This framework enables rational trade-offs between magnetic permeability, core loss, and environmental durability.

Optic neuropathies, such as glaucoma and Leber’s hereditary optic neuropathy (LHON) lead to retinal ganglion cell (RGC) loss and therefore motivate the application of transplantation technique into disease therapy. However, it is a challenge to direct the transplanted optic nerve axons to the correct location of the retina. The use of appropriate scaffold can promote the proper axon growth. Recently, biocompatible materials have been integrated into the medical field, such as tissue engineering and reconstruction of damaged tissues or organs. We, herein, utilized nano-imprinting to create a scaffold mimicking the in vitro tissue microarchitecture, and guiding the axonal growth and orientation of the RGCs. We observed that the robust, long, and organized axons of human induced pluripotent stem cell (iPSC)-derived RGCs projected axially along the scaffold grooves. The RGCs grown on the scaffold expressed the specific neuronal biomarkers indicating their proper functionality. Thus, based on our in vitro culture system, this device can be useful for the neurophysiological analysis and transplantation for ophthalmic neuropathy treatment.

Intravenous tranexamic acid (TXA) has been administered to reduce intraoperative blood loss in scoliosis surgery. However, the therapeutic effect of TXA on spinal muscular atrophy (SMA) scoliosis surgery is not well demonstrated. Therefore, this study aimed to assess the efficacy of intravenous TXA in SMA scoliosis surgery. From December 1993 to August 2020, 30 SMA patients who underwent scoliosis surgery (posterior fusion with fusion level of thoracic second or third to pelvis) were retrospectively enrolled and divided into the TXA group and non-TXA (control) group, with 15 patients in each group. Survey parameters were the amount of blood loss, blood transfusion, crystalloid transfusion volume, intubation time, and associated pulmonary complications (including pneumonia, pulmonary edema, and pulmonary atelectasis). The TXA group had significantly lesser blood loss than the control group (p = 0.011). Compared with the control group, the TXA group had significantly lower blood transfusion (p < 0.001), crystalloid volume (p = 0.041), and total transfusion volume (p = 0.005). In addition, the TXA group had fewer postoperative pulmonary complications, and patients with pulmonary complications were associated with a higher relative crystalloid volume and relative total transfusion volume (p = 0.003 and 0.022, respectively). In conclusion, TXA can be effective in reducing intraoperative blood loss and crystalloid fluid transfusions during scoliosis surgery in SMA patients, which may aid in reducing postoperative pulmonary complications.