An Ongoing Futuristic Career of Metal–Organic Frameworks and Ionic Liquids, A Magical Gateway to Capture CO₂; A Critical Review

Carbon capture and storage (CCS) technologies are the “knight in shining armor” that can save humanity from burnout in the longer term, minimizing damage from CO2 emissions by keeping them out of the atmosphere. Metal–organic frameworks (MOFs) have received a promising career for CO2 capture due to their high porosity, surface area, excellent metal-to-ligand interaction, and good affinity to capture CO2 molecules. On the other hand, Ionic liquids (ILs) as emerging solvents have reported a significant influence on CO2 solubility due to their wide range of tunability in the selection of a variety of cations and anions along with the advantage of nonvolatility, high thermal stability, and nonflammability. The current Review highlights the recent progress and ongoing careers of employing MOFs and ILs in carbon capture technologies before their commercialization on a large scale. A brief overview of CO2 capturing using MOFs and ILs is given under the influence of their possible functionalization to enhance their CO2 separation. Information on the possible integration of MOFs-ILs as a composite system or membrane-based gas separation is also presented in detail. The integration has a high potential to capture CO2 while minimizing the unit operation costs for a stable, efficient, and smooth industrial gas separation operation. Present work attempts to link the chemistry of MOF and IL and their successful hybridization (MOF-IL composite) to process the economics for CO2 capture

Age and frailty are independently associated with increased COVID-19 mortality and increased care needs in survivors: results of an international multi-centre study

Introduction: Increased mortality has been demonstrated in older adults with coronavirus disease 2019 (COVID-19), but the effect of frailty has been unclear. Methods: This multi-centre cohort study involved patients aged 18 years and older hospitalised with COVID-19, using routinely collected data. We used Cox regression analysis to assess the impact of age, frailty and delirium on the risk of inpatient mortality, adjusting for sex, illness severity, inflammation and co-morbidities. We used ordinal logistic regression analysis to assess the impact of age, Clinical Frailty Scale (CFS) and delirium on risk of increased care requirements on discharge, adjusting for the same variables. Results: Data from 5,711 patients from 55 hospitals in 12 countries were included (median age 74, interquartile range [IQR] 54–83; 55.2% male). The risk of death increased independently with increasing age (>80 versus 18–49: hazard ratio [HR] 3.57, confidence interval [CI] 2.54–5.02), frailty (CFS 8 versus 1–3: HR 3.03, CI 2.29–4.00) inflammation, renal disease, cardiovascular disease and cancer, but not delirium. Age, frailty (CFS 7 versus 1–3: odds ratio 7.00, CI 5.27–9.32), delirium, dementia and mental health diagnoses were all associated with increased risk of higher care needs on discharge. The likelihood of adverse outcomes increased across all grades of CFS from 4 to 9. Conclusion: Age and frailty are independently associated with adverse outcomes in COVID-19. Risk of increased care needs was also increased in survivors of COVID-19 with frailty or older age.</p