The ability to arrange brightly fluorescent nanoscale materials into well-defined patterns is critically important in advanced optoelectronic structures. Traditional methods for doing so generally involve depositing different color quantum dot "inks," irradiating reactive (e.g., cross-linkable) ligands at their surface, and then lifting off the unexposed sections in a developer solvent. Here, we outline a fundamentally different approach for directly patterning the emission color of nanocomposite thin films utilizing mask-based lithographic techniques and laser scanning methods. In this system, a polymer film containing cesium lead halide nanocrystals (NCs) is embedded with an organohalide─termed a "photohalide generator"─which undergoes a light-triggered, perovskite-catalyzed reduction and release of halide anion for uptake by the NC lattice, markedly shifting its band gap. In this manner, a blue emitting (CsPbBrCl) film becomes green and/or red in the exposed areas of a photomask, replicating the mask features as a multichromatic array (e.g., green, red, etc. colors against a blue background). The resolution limits of this materials system were probed using laser scanning tools capable of writing intricate patterns with feature sizes approaching a single micron─more than an order of magnitude smaller than the most comparable methods based on inkjet printing. Lastly, these methods are extended to a combined shape and color patterning process for making free-standing filamentous structures with striped and alternating fluorescence emission along their length.
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http://dx.doi.org/10.1021/jacs.4c18454 | DOI Listing |
ACS Appl Mater Interfaces
March 2025
Department of Mechanical Engineering, Chungbuk National University (CBNU), 1, Chungdae-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do 28644, Republic of Korea.
Current anticounterfeiting technologies rely on deterministic processes that are easily replicable, require specialized devices for authentication, and involve complex manufacturing, resulting in high costs and limited scalability. This study presents a low-cost, mass-producible structural color-based anticounterfeiting pattern and a simple algorithm for discrimination. Nanopatterns aligned with the direction of incident light were fabricated by electrospinning, while CuO and ZnO were grown independently through a solution process.
View Article and Find Full Text PDFCurrently, static fluorescent anti-counterfeiting technology struggles to cope with the increasingly sophisticated counterfeiting techniques, making the dynamic multimode regulation scheme an urgent necessity. Herein, Sm3+ mono-/co-doped LiTaO3 (LTO) phosphors are prepared by high temperature solid state method. Under 254 nm excitation, the emission chromaticity of LTO: Tb3+, Sm3+ is modulated from green to yellow by increasing Sm3+ content due to Tb3+ → Sm3+ energy transfer.
View Article and Find Full Text PDFChem Commun (Camb)
March 2025
State Key Laboratory of Metastable Material Science and Technology, School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China.
A solvent/temperature dual-responsive P(NIPAM-AM) hydrogel is proposed. The free energy model of the hydrogel microstructure and the transformation of the properties of the hydrogel chain segment during deformation were further analyzed. The resultant structural-color hydrogel film was applied to on-demand patterning.
View Article and Find Full Text PDFInt J Cosmet Sci
March 2025
Department of Biotechnology and Life Sciences (DBSV), University of Insubria, Varese, VA, Italy.
Honeybees' success is strictly linked to the chemical and application properties of their products: honey, beeswax (BW), venom, propolis, pollen and royal jelly. Among these products, BW, a natural compound secreted by bees, is particularly valued for its stability and is widely used in cosmetics for make-up and skincare production or in dermatology to produce creams. In recent years, there has been a growing awareness of the critical role these insects play in the ecosystem.
View Article and Find Full Text PDFNetwork
March 2025
Department of Biomedical Engineering, Noorul Islam Centre for Higher Education, Kanyakumari, India.
A crucial role in many security and surveillance applications is crowd anomaly detection, where seeing unusual activity helps avert possible threats or interruptions. For precise anomaly identification, current models might not successfully incorporate spatial and temporal features. To overcome these drawbacks, a novel Crowd Anomaly Detection based on Opposition Behavior Learning updated Chimp Optimization Algorithm (CAD-OBLChoA) is proposed in this research to enhance the detection of abnormal crowd behaviours in dynamic environments.
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