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Background: Due to potential interference of nanoparticles on bacterial quantification, there is a challenge to develop a fast, accurate and reproducible method for bacterial quantification. Currently various bacterial quantification methods are used by researchers performing nanoparticles study, but there has been no efficacy evaluation of these methods. Here we study interference of nanoparticles on three most commonly used conventional bacterial quantification methods, including colony counting to determine the colony-forming units (CFU), spectrophotometer method of optical density (OD) measurement, and flow cytometry (FCM).
Results: Three oxide nanoparticles including ZnO, TiO2, and SiO2 and four bacterial species including Salmonella enterica serovar Newport, Staphylococcus epidermidis, Enterococcus faecalis, and Escherichia coli were included in the test. Results showed that there is no apparent interference of the oxide nanoparticles on quantifications of all four bacterial species by FCM measurement; CFU counting is time consuming, less accurate and not suitable for automation; and the spectrophotometer method using OD measurement was the most unreliable method to quantify and detect the bacteria in the presence of the nanoparticles.
Conclusion: In summary, FCM measurement proved to be the best method, which is suitable for rapid, accurate and automatic detection of bacteria in the presence of the nanoparticles.
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http://dx.doi.org/10.1186/s12866-014-0222-6 | DOI Listing |
mSphere
September 2025
Leiden Institute of Chemistry and The Institute of Chemical Immunology, Leiden University, Leiden, the Netherlands.
Bacterial persisters are a subpopulation of cells that exhibit a transient non-susceptible phenotype in the presence of bactericidal antibiotic concentrations. This phenotype can lead to the survival and regrowth of bacteria after treatment, resulting in relapse of infections. It is also a contributing factor to antibacterial resistance.
View Article and Find Full Text PDFMicrobiol Spectr
September 2025
Department of Diagnostic Medicine and Pathobiology, Kansas State University, , Manhattan, Kansas, USA.
Liver abscesses (LA) in cattle are a polymicrobial infection, and the major bacterial pathogens associated are as follows: subsp. (FNN), subsp. (FNF), (TP), and (SE).
View Article and Find Full Text PDFPract Lab Med
September 2025
Department of Clinical Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
Background: Nucleic Acid Amplification Tests (NAAT) remain one of the most reliable methods for pathogen identification. Given the high false-negative rates associated with traditional staining and microscopic examination, the time-consuming nature and low sensitivity of bacterial culture methods, as well as the inability of conventional NAAT to achieve absolute quantification.
Methods: To achieve rapid and quantitative detection of , we selected the 23S rRNA gene as the target for identification and developed a droplet digital PCR detection method.
Int Immunopharmacol
September 2025
Department of Pharmacology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil; Center for Research in Inflammatory Diseases, CRID, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil. Electronic address:
Sepsis, a life-threatening organ dysfunction caused by a dysregulated host response to infection, is associated with impaired neutrophil migration to the infectious focus owing to G protein-coupled receptor kinase (GRK2)-dependent CXCR2 internalization. In the present study, we investigated whether paroxetine, an antidepressant that belongs to the selective serotonin reuptake inhibitor (SSRI) class of drugs and that is also identified as a GRK2 inhibitor, can improve neutrophil recruitment in the cecal ligation and puncture (CLP)-induced sepsis model. Moderate (mCLP) and severe (sCLP) polymicrobial peritonitis were induced in C57BL/6 mice.
View Article and Find Full Text PDFProteomics
September 2025
Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Honey bees (Apis mellifera) are vital pollinators in fruit-producing agroecosystems like highbush blueberry (HBB) and cranberry (CRA). However, their health is threatened by multiple interacting stressors, including pesticides, pathogens, and nutritional changes. We tested the hypothesis that distinct agricultural ecosystems-with different combinations of agrochemical exposure, pathogen loads, and floral resources-elicit ecosystem-specific, tissue-level molecular responses in honey bees.
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