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Growth factors (GF) contained in platelets are a potential source to improve wound healing by the stimulation and acceleration of soft tissue and bone healing. This resulted in the idea that autologous platelet-rich plasma or platelet lysate (PL) containing high levels of GF might improve healing processes. Today platelet products are already applied in bone and maxillofacial surgery. In recent years, cosmetic surgery and facial rejuvenation procedures are growing steadily. New methods including platelet products aiming to induce non-surgical reduction of wrinkles upon topical injection and to minimize surgical risks in general are developed. Several point-of-care devices are already available on the market. However, the amount of PL obtained by these kits is far too high for certain applications in cosmetic surgery and they offer no possibility of storing the remaining material in a sterile manner. Therefore we developed a procedure for the sterile production of smaller amounts of PL in a closed system that can also be split into several products for repeated administration. The closed system was determined to be a bag system designed for an autologous blood donation of 100 ml whole blood. We set a special focus on the validation of the production procedure, mainly regarding sterility and platelet recovery. For validation 22 healthy volunteers were asked for a blood donation, which was centrifuged twice to obtain concentrated platelets (CP). A freeze-thaw cycle caused lysis of the CP to get approximately 8.48 ± 1.36 ml PL. We yielded satisfying results of 100% sterility and a platelet recovery of 36.92% ± 18.71%. We therefore conclude that the PL obtained is ready for studies comparing it with traditional treatments.
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http://dx.doi.org/10.3109/09537104.2010.531304 | DOI Listing |
Nutr J
September 2025
Department of Life Sciences, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, 412 96, Sweden.
Background: Avenanthramides (AVAs) and Avenacosides (AVEs) are unique to oats (Avena Sativa) and may serve as biomarkers of oat intake. However, information regarding their validity as food intake biomarkers is missing. We aimed to investigate critical validation parameters such as half-lives, dose-response, matrix effects, relative bioavailability under single dose, and in relation to the abundance of Feacalibacterium prausnitzii, and under repeated dosing, to understand the potential applications of AVAs and AVEs as biomarkers of oat intake.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
September 2025
Department of Dyes and Chemical Engineering, Bangladesh University of Textiles, Dhaka, Bangladesh.
This study quantitatively evaluated the adsorption performance of natural bentonite for removing three dye classes-cationic (Basic dye: BEZACRYL RED GRL), anionic (Reactive dye: AVITERA LIGHT RED SE), and non-ionic (Disperse dye: BEMACRON BLUE HP3R) from synthetic textile wastewater. Batch adsorption experiments were conducted under varying conditions of contact time (15-90 min), adsorbent dosage (20-60 g L⁻), pH (4 and 12), and temperature (25-100 °C), with dye concentrations quantified by UV-Vis spectroscopy. At a contact time of 30 min and room temperature (25 °C), maximum removal efficiencies reached 99.
View Article and Find Full Text PDFAnn Biomed Eng
September 2025
Department of Mechanical Engineering, Koc University, Rumeli Feneri Campus, Sarıyer, 34450, Istanbul, Turkey.
Purpose: The design and development of ventricular assist devices have heavily relied on computational tools, particularly computational fluid dynamics (CFD), since the early 2000s. However, traditional CFD-based optimization requires costly trial-and-error approaches involving multiple design cycles. This study aims to propose a more efficient VAD design and optimization framework that overcomes these limitations.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Global Health Economics Centre, Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Background: Artificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagnostic performance and its application when deployed in real-world conditions.
Objective: This study aimed to assess the technical feasibility of integration and diagnostic performance of validated DR screening (DRS) AI algorithms in real-world outpatient public health settings.
Med Eng Phys
October 2025
Department of Mechanical Engineering, University of Cape Town, 7701, South Africa; Centre for Research in Computational and Applied Mechanics (CERECAM), University of Cape Town, 7701, South Africa.
The usability and versatility of autoinjectors in managing chronic and autoimmune diseases have made them increasingly attractive in medicine. However, investigations into autoinjector designs require an understanding of the kinematic properties and fluid behaviour during injection. To optimise injection efficiency, this study develops a mathematical and computational fluid dynamics (CFD) model of an IM autoinjector by investigating the effects of viscosity, needle length, needle diameter, and medication volume on the injection process.
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