Presence of methanotrophs in diverse environmental habitats helps to reduce emissions of greenhouse gas like methane. Isolation and culture of undiscovered wealth of methanotrophic organisms can help in exploitation of these organisms in value added products. The present study focuses on the enrichment of methanotroph dominated mixed microbial community by use of three stage strategy of revival, proliferation, and segregation. During the enrichment process amplicon sequencing of 16 s rRNA V3-V4 region showed relative abundance of mixed culture comprising single methanotrophic species of Methylocystis genus (88.92%) along with only three other species. Methylocystis dominant mixed culture (MMI-11) was observed to produce polyhydroxyalkanoates (PHA). During studies to identify favourable culture conditions, nitrate was found to be preferred nitrogen source for growth and PHA production. Cell growth ability to produce PHA was also evaluated at 14 L fermentor by supplying gas using continuous bubbling and through pressurization in the headspace. The mixed methanotrophic culture was found to accumulate maximum of 22.20% polyhydroxybutyrate (PHB) under nitrate limited condition. The molecular weight of PHB was found to be 2.221 × 10 g mol with polydispersity of 1.82.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jbiotec.2021.11.007 | DOI Listing |
JMIR Med Educ
January 2025
Department of Medical Education, University of Idaho, 875 Perimeter Drive MS 4061, WWAMI Medical Education, Moscow, ID, 83844-9803, United States, 1 5092090908.
Background: Medical students often struggle to engage with and retain complex pharmacology topics during their preclinical education. Traditional teaching methods can lead to passive learning and poor long-term retention of critical concepts.
Objective: This study aims to enhance the teaching of clinical pharmacology in medical school by using a multimodal generative artificial intelligence (genAI) approach to create compelling, cinematic clinical narratives (CCNs).
Introduction Mucormycosis is an uncommon fungal infection caused by filamentous fungi of the Mucorales order, namely Rhizopus, Lichthemia, andMucor species. The incidence and prevalence of mucormycosis reached an all-time high during the COVID-19 pandemic due to excessive steroid use and other factors, leading to the coining of the term CAM (COVID Associated Mucormycosis). The diagnosis of mucormycosis is by a combination of histopathology and microbiological techniques, such as KOH mount and culture.
View Article and Find Full Text PDFBMC Public Health
January 2025
National Institute for Public Health and the Environment, Center for Prevention, Lifestyle and Health, Department Behaviour and Health, Antonie van Leeuwenhoeklaan 9, Bilthoven, 3721 MA, The Netherlands.
Background: Many organizations are faced with growing numbers of employees who combine their jobs with informal caregiving responsibilities. To support working caregivers in maintaining a good balance between work, private life and informal care, a workplace participatory approach (PA) intervention was implemented in four Dutch organizations. This study's aims were to evaluate the degree of PA implementation, contextual factors influencing implementation, and stakeholder experiences with the PA.
View Article and Find Full Text PDFBMJ Open
January 2025
Centre for Primary Care and Public Health, Queen Mary University of London Wolfson Institute of Preventive Medicine, London, UK.
Objective: In the UK and worldwide, there are substantial ethnic inequalities in maternal and perinatal care and outcomes. We aim to assess the impact of the unprecedented change in care provision during the COVID-19 pandemic on inequalities in adverse maternity outcomes.
Design: Retrospective cohort study using structured electronic health record data.
Objectives: The objective of this study is to evaluate the effect of equality, diversity and inclusion (EDI) training interventions on race inequalities experienced by healthcare professionals.
Design: Systematic review.
Data Sources: Cochrane, MEDLINE and Embase databases were searched from database inception to February 2024.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!