Hollow-fiber ultrafiltration (UF) is a technique that is increasingly viewed as an effective alternative for simultaneously recovering diverse microbes (e.g., viruses, bacteria, parasites) from large volumes of drinking water. The USEPA has organism-specific methods, including Method 1623 for Cryptosporidium and Giardia and the virus adsorption-elution (VIRADEL) technique using 1MDS electropositive filters. In this study, we directly compare the performance of a previously published UF method to that of the USEPA Method 1623 (for recovering Cryptosporidium parvum and Giardia intestinalis) and the 1MDS VIRADEL method (for bacteriophages and echovirus) using 100-L dechlorinated tap water samples. The UF method produced significantly higher recoveries of C. parvum versus Method 1623 (83% mean recovery for UF versus 46% mean recovery for Method 1623), while recoveries for G. intestinalis were similar for both methods. Results of the virus method comparison showed the UF method (including secondary concentration using microconcentrators) to be very effective for the recovery of echovirus 1, bacteriophage MS2, and bacteriophage phi X174, with mean recovery efficiencies of 58, 100, and 77%, respectively. The VIRADEL technique (including secondary concentration by organic flocculation) recovered significantly less echovirus 1, and the bacteriophages could not be quantified by the method due to phage inactivation and/or assay inhibition. The results of this study demonstrate that the UF technique can be as effective, or more effective, than established USEPA methods for recovery of viruses and protozoan parasites from 100-L tap water samples.
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http://dx.doi.org/10.2134/jeq2008.0152 | DOI Listing |
RMD Open
January 2025
Rheumatology Department, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
Artificial intelligence (AI) is transforming rheumatology research, with a myriad of studies aiming to improve diagnosis, prognosis and treatment prediction, while also showing potential capability to optimise the research workflow, improve drug discovery and clinical trials. Machine learning, a key element of discriminative AI, has demonstrated the ability of accurately classifying rheumatic diseases and predicting therapeutic outcomes by using diverse data types, including structured databases, imaging and text. In parallel, generative AI, driven by large language models, is becoming a powerful tool for optimising the research workflow by supporting with content generation, literature review automation and clinical decision support.
View Article and Find Full Text PDFPharmaceutics
December 2024
Department of Agriculture, Forestry and Bioresources, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
Background/objectives: In this study, HECP2k polymer, polyethylenimine2k (PEI2k)-modified hydroxyethyl cellulose (HEC) was utilized to form the nanocomplexes with receptor activator of nuclear factor k-B (RANK) siRNA and zoledronate (Zol) for osteoclast inhibition. HECP2k/(RANK siRNA + Zol) nanocomplexes prepared by simple mixing were anticipated to overcome the low transfection efficiency of siRNA and the low bioavailability of Zol.
Methods: The characterization of both HECP2k/(pDNA + Zol) nanocomplexes and HECP2k/(RANK siRNA + Zol) nanocomplexes was performed.
Polymers (Basel)
December 2024
Department of Applied Chemistry and Engineering of Inorganic Compounds and the Environment, University Politehnica Timisoara, 2 Piata Victoriei, 300006 Timișoara, Romania.
Designing new engineered materials derived from waste is essential for effective environmental remediation and reducing anthropogenic pollution in our economy. This study introduces an innovative method for remediating metal-contaminated water, using two distinct waste types: one biowaste (eggshell) and one industrial waste (fly ash). We synthesized three novel, cost-effective nanoadsorbent types, including two new tertiary composites and two biopolymer-based composites (specifically k-carrageenan and chitosan), which targeted chromium removal from aqueous solutions.
View Article and Find Full Text PDFPharmaceuticals (Basel)
December 2024
Laboratório de Avaliação e Síntese de Substâncias Bioativas (LASSBio®), Instituto Nacional de Ciência e Tecnologia de Fármacos e Medicamentos (INCT-INOFAR), Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil.
Glioblastoma is a malignant tumor with a poor prognosis for the patient due to its high lethality and limited chemotherapy available. Therefore, from the point of view of chemotherapy treatment, glioblastoma can be considered an unmet medical need. This has led to the investigation of new drugs for monotherapy or associations, acting by synergistic pharmacological mechanisms.
View Article and Find Full Text PDFMedicina (Kaunas)
December 2024
Department of Physiotherapy, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain.
This systematic review evaluates the effectiveness of exercise interventions for managing nonspecific low back pain (NSLBP) and explores their impact on related biopsychosocial factors, physical health variables, and inflammatory biomarkers. : A comprehensive search of five databases (PubMed, CINAHL, PEDro, SCOPUS, Cochrane Library) was conducted, covering studies from 2019 to 2024. Fifteen randomized controlled trials involving 1338 participants aged 18 to 65 years with NSLBP were included.
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