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In the present study, two different microneedle devices were produced using digital light processing (DLP). These devices hold promise as drug delivery systems to the buccal tissue as they increase the permeability of actives with molecular weights between 600 and 4000 Da. The attached reservoirs were designed and printed along with the arrays as a whole device. Light microscopy was used to quality control the printability of the designs, confirming that the actual dimensions are in agreement with the digital design. Non-destructive volume imaging by means of microfocus computed tomography was employed for dimensional and defect characterization of the DLP-printed devices, demonstrating the actual volumes of the reservoirs and the malformations that occurred during printing. The penetration test and finite element analysis showed that the maximum stress experienced by the needles during the insertion process (10 N) was below their ultimate compressive strength (240-310 N). Permeation studies showed the increased permeability of three model drugs when delivered with the MN devices. Size-exclusion chromatography validated the stability of all the actives throughout the permeability tests. The safety of these printed devices for buccal administration was confirmed by histological evaluation and cell viability studies using the TR146 cell line, which indicated no toxic effects.
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http://dx.doi.org/10.1021/acsbiomaterials.3c00116 | DOI Listing |
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September 2025
Guangdong Provincial Key Laboratory for Processing and Forming of Advanced Metallic Materials, South China University of Technology, Guangzhou, 510640, China.
In modern micro/nano fabrication, 3D printing technology drives industry transformation. However, existing technologies face bottlenecks in improving process efficiency and precision, while also struggling to achieve accurate fabrication of composite 3D microstructures. This study proposes a microlens self-focusing printing technique that integrates digital light processing (DLP) 3D printing with an optical microscope platform.
View Article and Find Full Text PDFRegen Biomater
August 2025
Institute of Stomatology & Oral Maxilla Facial Key Laboratory, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
Reconstructing bone defects remains a significant challenge in clinical practice, driving the urgent need for advanced artificial grafts that simultaneously promote vascularization and osteogenesis. Addressing the critical trade-off between achieving high porosity/strength and effective bioactivity at safe ion doses, we incorporated strontium (Sr) into β-tricalcium phosphate (β-TCP) scaffolds with a triply periodic minimal surface (TPMS) structure using digital light processing (DLP)-based three-dimensional (3D) printing. Systematically screening Sr concentrations (0-10 mol%), we identified 10 mol% as optimal, leveraging the synergy between the biomimetic TPMS architecture, providing exceptional mechanical strength (up to 1.
View Article and Find Full Text PDFCase Rep Ophthalmol Med
September 2025
Department of Ophthalmology and Visual Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
A 62-year-old female with retinitis pigmentosa presented for a low vision rehabilitation evaluation. An updated spectacle prescription, filters, and task lighting were beneficial, but the patient was left with outstanding needs. She noted that she had lost her independence and felt trapped within her own home with nobody around who could fully understand her situation.
View Article and Find Full Text PDFMed Phys
September 2025
School of Computer, Electronics and Information, Guangxi University, Nanning, China.
Background: Deformable medical image registration is a critical task in medical imaging-assisted diagnosis and treatment. In recent years, medical image registration methods based on deep learning have made significant success by leveraging prior knowledge, and the registration accuracy and computational efficiency have been greatly improved. Models based on Transformers have achieved better performance than convolutional neural network methods (ConvNet) in image registration.
View Article and Find Full Text PDFAppl Radiat Isot
September 2025
Kahramanmaraş İstiklal University, Department of Energy Systems Engineering, Kahramanmaraş, Türkiye.
The rapid advancement of three-dimensional (3D) printing technologies has significantly expanded their potential applications such as sensors and detector technology. In this study, the gamma-ray shielding performance of ulexite-doped composite resins fabricated via Digital Light Processing (DLP) 3D printing was experimentally investigated to evaluate radiation attenuation capacity. Composite resins containing different ulexite loadings (0, 1, 3, and 5 wt%) were exposed to gamma rays at energies of 356, 662, 1173, and 1333 keV to evaluate their attenuation characteristics.
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