Human skin is an attractive site for the delivery of protein and peptide-based macromolecular drugs for the treatment of topical and systemic diseases as well as for DNA immunisation. However, the delivery of those macromolecules in or across the skin is undesirably limited due to its permeation property. To expand the number of macromolecules to be delivered to specific targeting tissue/cells, a unique biomedical device, the handheld powdered injection system, has been developed. It is a novel transdermal technology that disposes needles (and syringes), circumvents the need for refrigeration (of vaccines) and has the potential to revolutionise the treatment and prevention of major diseases. To further underwrite device characteristics, in this paper, an advanced computational fluid dynamics technology is utilised to model gas, particle dynamics and gas-particle-target interaction. The statistical analyses show that the microparticles can achieve a mean velocity of 704 m/s representative of intracellular macromolecular deliveries. Knowledge on the gas and particle dynamics can be applied to design effective and efficient handheld powdered delivery systems.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/10611860801902641 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Novel authentication of African geographical coffee types (bean, roasted, powdered) by handheld NIR spectroscopic method.
Heliyon
August 2024
University of Cape Coast, College of Agriculture and Natural Sciences, School of Agriculture, Department of Agricultural Engineering, Cape Coast, Ghana.
African coffee is among the best traded coffee types worldwide, and rapid identification of its geographical origin is very important when trading the commodity. The study was important because it used NIR techniques to geographically differentiate between various types of coffee and provide a supply chain traceability method to avoid fraud. In this study, geographic differentiation of African coffee types (bean, roasted, and powder) was achieved using handheld near-infrared spectroscopy and multivariant data processing.
View Article and Find Full Text PDFIsotopic and mineralogic bias introduced by pulverization of aragonite.
Rapid Commun Mass Spectrom
September 2024
Institute of Geosciences, University of Mainz, Mainz, Germany.
Rationale: Stable carbon and oxygen isotope data of biogenic and abiogenic aragonite are of fundamental relevance in paleoclimate research. Wet-chemical analysis of such materials requires well-homogenized, fine-grained powder. In the present study, the effect of different grinding/milling methods on sample homogeneity and the potential risk of unintentional calcite formation and isotope shift were evaluated.
View Article and Find Full Text PDFColorimetric Detection of Fentanyl Powder on Surfaces Using a Supramolecular Displacement Assay.
ACS Sens
June 2024
Department of Chemistry, Tufts University, Medford, Massachusetts 02155, United States.
Fentanyl is a potent synthetic opioid with an alarmingly low lethal dosage of 2 mg. The equipment necessary to detect fentanyl in field settings (e.g.
View Article and Find Full Text PDFNon-invasive prediction of maca powder adulteration using a pocket-sized spectrophotometer and machine learning techniques.
Sci Rep
May 2024
Department of Food Science and Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Discriminating different cultivars of maca powder (MP) and detecting their authenticity after adulteration with potent adulterants such as maize and soy flour is a challenge that has not been studied with non-invasive techniques such as near infrared spectroscopy (NIRS). This study developed models to rapidly classify and predict 0, 10, 20, 30, 40, and 50% w/w of soybean and maize flour in red, black and yellow maca cultivars using a handheld spectrophotometer and chemometrics. Soy and maize adulteration of yellow MP was classified with better accuracy than in red MP, suggesting that red MP may be a more susceptible target for adulteration.
View Article and Find Full Text PDFClassification of Visual Smoothness Standards Using Multi-Scale Areal Texture Parameters and Low-Magnification Coherence Scanning Interferometry.
Materials (Basel)
April 2024
Department of Mechanical Engineering, UNC Charlotte, Charlotte, NC 28223, USA.
Article Synopsis
- The study highlights the importance of being able to specify surface finishes for consistent visual quality in coating engineering.
- A computational tool called surface quality and inspection descriptors (™) is introduced to effectively rank different surface finish appearances using established ISO metrics.
- It shows that automatic classification of surface finishes can achieve varying accuracies (65%-99%) based on the filtering methods and parameters, with the best results coming from just five topography descriptions.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!