A huge-amount of citrus by-products is being wasted every-year. There is a high-need to utilize these by-products with high-efficiency. This study focuses on the essential oil (EO) isolation from the ...zest of Citrus sinensis (CS) by-products, using a novel dual-function gas-chromatography mass-spectrometry optimized ultrasound-assisted hydrodistillation-prototype (DF-GC/MS-HUS). The CS-EO was GC-analyzed by MS-detector (GC/MS) and optimized by flame-ionization detector (GC/FID). Ultrasound-assisted hydrodistillation (HUS) had a dual-function in CS-EO isolation by utilizing an adequate-energy to break-open the oil-containing glands, and by functioning-as a dispersing-agent to emulsify the organic-phase. The most effective DF-GC/MS-HUS optimized-conditions were isolation under 38 °C and 10 min of 28.9 Hz sonication. The main-components of CS-EO were limonene, β-myrcene, and α-pinene (81.32%, 7.55%, and 4.20%) in prototype, compared to (60.23%, 5.33%, and 2.10%) in the conventional-method, respectively. The prototype CS-EO showed natural antibacterial-potentials, and inhibited the bio-film formation by Staphylococcus aureus, Listeria monocytogenes, and E. coli more-potent than the conventional-method. Compared to conventional-method, the prototype-method decreased the isolation-time by 83.3%, lowered energy-consumption, without carbon-dioxide production, by reducing isolation-temperatures by more-than half, which protected the thermolabile-components, and increased the quantity by 2514-folds, and improved the quality of CE-EO composition and its antibacterial-potentials. Therefore, the DF-GC/MS-HUS prototype method is considered a novel green-technique that minimized the energy-utilization with higher-efficiency.
Background
Content analysis (CA) is an investigative research tool used in healthcare studies to identify imminent challenges while providing lead time for preparedness measures. The objective of ...this study is to report on the challenges confronting the global healthcare industry.
Methods
This study used the conventional CA "bottom-up" approach to a quantitative data. CA is a research technique that uses the qualitative research method and word counts to evaluate communication outcomes. A group of executive master's in business administration (EMBA) and medical students championed the study. Using 13 periodicals as the data sources, researchers conducted online keyword searches for all articles, titles, and abstracts containing the word "healthcare". The collected data was gathered from five international, four Middle Eastern, and four Lebanese periodicals from January 1, 2021 to December 31, 2021.
Results
CA results indicate remarkable domination of keywords "COVID-19 health impact" as a major worldwide theme. Significant differences were noticeable among subcategories but remained related to COVID-19 in particular, social responsibilities, and research and development. Topics such as comorbid illnesses, social responsibility, healthcare logistics, and the well-being of healthcare service providers were among the least covered topics.
Conclusion
Our findings emphasize the importance of global media and their coverage of healthcare issues on the types of healthcare topics (
e.g., vaccines, drugs...) covered in the Lebanese periodicals in our study. Thus, global healthcare media are the main source for Lebanese periodicals reporting healthcare issues rather than the Lebanese healthcare authorities. Therefore, there is need for the development of a more efficient technology-driven healthcare management system. At the global level, there is a need to develop a step-by-step action-oriented strategic initiative to respond to emerging pandemics.
Background: Content analysis (CA) is an investigative research tool used in healthcare studies to identify imminent challenges while providing lead time for preparedness measures. The objective of ...this study is to report on the challenges confronting the global healthcare industry.
Methods: This study used the conventional CA "bottom-up" approach to a quantitative data. CA is a research technique that uses the qualitative research method and word counts to evaluate communication outcomes. A group of executive master's in business administration (EMBA) and medical students championed the study. Using 13 periodicals as the data sources, researchers conducted online keyword searches for all articles, titles, and abstracts containing the word "healthcare". The collected data was gathered from five international, four Middle Eastern, and four Lebanese periodicals from January 1, 2021 to December 31, 2021.
Results: CA results indicate remarkable domination of keywords "COVID-19 health impact" as a major worldwide theme. Significant differences were noticeable among subcategories but remained related to COVID-19 in particular, social responsibilities, and research and development. Topics such as comorbid illnesses, social responsibility, healthcare logistics, and the well-being of healthcare service providers were among the least covered topics.
Conclusion: Our findings emphasize the importance of global media and their coverage of healthcare issues on the types of healthcare topics (
e.g., vaccines, drugs...) covered in the Lebanese periodicals in our study. Thus, global healthcare media are the main source for Lebanese periodicals reporting healthcare issues rather than the Lebanese healthcare authorities. Therefore, there is need for the development of a more efficient technology-driven healthcare management system. At the global level, there is a need to develop a step-by-step action-oriented strategic initiative to respond to emerging pandemics.
