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Objective: The aim of this research was to assemble an electrospinning device with some components from used medical devices in hospital, so that it could be utilized to produce nanofibers containing Piper betle (L). Methods: The electrospinning was assembled with the main components were the 20 kV high voltage (hV) power supply (module), the Terumo TE-331 syringe pump and the collector. The resulting device was then evaluated for tool performance. The device was used to produce Polyvinyl Alcohol (PVA)-based nanofibers with Piper betle (L) as the active ingredient. The nanofibers produced were then tested for antibacterial activity, morphology by Scanning Electron Microscope (SEM) and Fourier Transform Infrared Spectroscopy (FTIR). Results: The polymer solution was pushed by a syringe pump with a flow rate of 15 ml/h into the spinneret. In this electrospinning process, the formed nanofibers appear visually as a thin layer on the collector. With variation in PVA concentration and the same concentration of Piper betle l. as the active ingredient, the results showed that the nanofiber carrier did not affect the efficacy provided by Piper betle (L). The characterization with SEM revealed that the assembled tool was able to make nanofiber preparations that have fine continuous/fairly regular fibers with an average diameter of 46.479±2.406 nm. Meanwhile, the analysis using FTIR showed the presence of OH stretching groups of phenolic compounds from Piper betle (L). Conclusion: It can be concluded that the electrospinning was successfully assembled from unused medical devices in hospital and proven to produce nanofibers.
Objective: The aim of this research was to assemble an electrospinning device with some components from used medical devices in hospital, so that it could be utilized to produce nanofibers containing Piper betle (L). Methods: The electrospinning was assembled with the main components were the 20 kV high voltage (hV) power supply (module), the Terumo TE-331 syringe pump and the collector. The resulting device was then evaluated for tool performance. The device was used to produce Polyvinyl Alcohol (PVA)-based nanofibers with Piper betle (L) as the active ingredient. The nanofibers produced were then tested for antibacterial activity, morphology by Scanning Electron Microscope (SEM) and Fourier Transform Infrared Spectroscopy (FTIR). Results: The polymer solution was pushed by a syringe pump with a flow rate of 15 ml/h into the spinneret. In this electrospinning process, the formed nanofibers appear visually as a thin layer on the collector. With variation in PVA concentration and the same concentration of Piper betle l. as the active ingredient, the results showed that the nanofiber carrier did not affect the efficacy provided by Piper betle (L). The characterization with SEM revealed that the assembled tool was able to make nanofiber preparations that have fine continuous/fairly regular fibers with an average diameter of 46.479±2.406 nm. Meanwhile, the analysis using FTIR showed the presence of OH stretching groups of phenolic compounds from Piper betle (L). Conclusion: It can be concluded that the electrospinning was successfully assembled from unused medical devices in hospital and proven to produce nanofibers.
The use of new technologies should create new value for all stakeholders in the healthcare system. This article explores the transformative impact of new technologies in e-health, focusing on enhancing patient empowerment and healthcare delivery. It underscores how artificial intelligence (AI) and other innovative technologies may redefine service standards, expand functionalities, boost clinician knowledge and competencies, and relieve clinicians’ workload, thereby enabling broader and more specialized healthcare services. Through a comparative analysis of technology applications in various medical sectors, the study proposes a new, original classification of new e-health technologies according to benefits to the main healthcare stakeholders – patients, clinicians, and the healthcare system itself. The methodology includes bibliographic research and a study of selected cases of technology implementations, discussing both theoretical and practical implications for medical organizations. The classification of new e-health technologies that we propose herein a clear framework for understanding the various ways in which these innovations can be implemented to maximize their benefits across different sectors of the healthcare industry.
This work aimed to study the effects of co-disposal of household solid waste (HHSW) and healthcare solid waste (HCW) on the microbiota of the leachate generated in experimental landfill cells. To this end, three waste containment units were built, differentiated by the percentage of HHSW and HCW: HHSW cell (100% household solid waste), HCW cell (100% healthcare solid waste) and COD cell (cell simulating co-disposal containing 98% HHSW and 2% HCW). Volume, temperature, pH and evaluation of the leachate's microbiota from the cells were monitored over 810 days of confinement. Culture-dependent methods (quantitative analysis of environmental contamination indicators and investigation in enterobacteria and Staphylococcus aureus), antimicrobial susceptibility patterns, and inhibitory activity were evaluated for microbiota monitoring. The microbiological characterization of the leachates from the cells showed no statistically significant differences in total coliforms, Escherichia coli, enterococci and Pseudomonas aeruginosa densities during the period evaluated. Enterobacteria of medical importance were identified in the leachates from the three cells: E. coli, Klebsiella pneumoniaea, Enterobacter sp and Proteus mirabilis. After 810 days of confinement, the leachates showed no antimicrobial activity against S. aureus, P. aeruginosa and Salmonella enterica serovar Choleraesuis. Statistical analysis of antimicrobial resistance patterns revealed significant similarities among the three cells. The results suggest no significant differences in the behavior of experimental landfills containing HHSW and HCW concerning the presence of pathogenic microbiota.
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