The conditions for optimal steam decontamination of polypropylene bags half loaded with laboratory biomedical waste were studied (276 bags were processed). Controls were single-closed bags without water added or incisions made in the top, standing freely in an autoclave set at 121 degrees C. The average time required to reach 121 degrees C at the load center was 46 min for controls. A significant increase in this time occurred following addition of water to bags without incisions (60 min), with double bagging (60 min), or when using vertical containers (82 min). A significant decrease occurred when bags were slashed (37 min) or processed at 123 degrees C (32 min) or 132 degrees C (19 min). Horizontal containers or addition of water to slashed bags had no significant effect.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC195906 | PMC |
http://dx.doi.org/10.1128/aem.59.12.4335-4337.1993 | DOI Listing |
Chem Commun (Camb)
January 2025
Marshall Laboratory of Biomedical Engineering, International Cancer Center, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Laboratory of Evolutionary Theranostics (LET), School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China.
The introduction of fluorescence imaging (FLI) in near-infrared II sub-channels (NIR-IIb, 1500-1700 nm) has revolutionized the ability to explore complex patho-physiological settings . Despite the transformative potentials, the development of organic NIR IIb dyes encounters considerable difficulties, and only a limited number of such fluorophores have been developed so far. This review systematically introduces design strategies of organic NIR-IIb fluorophores classified by molecular scaffolds, mainly including cyanine dyes and D-A-D small molecule dyes.
View Article and Find Full Text PDFBioengineered
December 2025
Department of BioMedical Bigdata (BK21) and Research Institute of Life Sciences, Gyeongsang National University, Jinju, Republic of Korea.
Gene editing is emerging as a powerful tool for introducing novel functionalities in mushrooms. While CRISPR/Cas9-induced double-strand breaks (DSBs) typically rely on non-homologous end joining (NHEJ) for gene disruption, precise insertion of heterologous DNA in mushrooms is less explored. Here, we evaluated the efficacy of inserting donor DNAs (8-1008 bp) with or without homologous arms at Cas9-gRNA RNP-induced DSBs.
View Article and Find Full Text PDFJ Nephrol
January 2025
Division of Nephrology, Department of Medicine, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Background: Climate change poses a significant risk to kidney health, and countries with lower national wealth are more vulnerable. Yet, citizens from lower-income countries demonstrate less concern for climate change than those from higher-income countries. Education is a key covariate.
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Objectives: To analyze the CT imaging features of extranodal natural killer/T (NK/T)-cell lymphoma, nasal type (ENKTCL-NT) involving the gastrointestinal tract (GI), and to compare them with those of Crohn's disease (CD) and diffuse large B-cell lymphoma (DLBCL).
Materials And Methods: Data were retrospectively collected from 17 patients diagnosed with GI ENKTCL-NT, 68 patients with CD, and 47 patients with DLBCL. The CT findings of ENKTCL-NT were analyzed and compared with those of CD and DLBCL.
Eur J Nucl Med Mol Imaging
January 2025
Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.
Purpose: Advancements of deep learning in medical imaging are often constrained by the limited availability of large, annotated datasets, resulting in underperforming models when deployed under real-world conditions. This study investigated a generative artificial intelligence (AI) approach to create synthetic medical images taking the example of bone scintigraphy scans, to increase the data diversity of small-scale datasets for more effective model training and improved generalization.
Methods: We trained a generative model on Tc-bone scintigraphy scans from 9,170 patients in one center to generate high-quality and fully anonymized annotated scans of patients representing two distinct disease patterns: abnormal uptake indicative of (i) bone metastases and (ii) cardiac uptake indicative of cardiac amyloidosis.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!