ArticleBMC microbiology2014
A comparison of conventional methods for the quantification of bacterial cells after exposure to metal oxide nanoparticles.
Article in BMC microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.
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- Novel antimicrobial applications of copper oxide nanoparticles after combination with tissue conditioner used in complete prostheses.BMC oral health · 2024Article
- Recent Advances in Development of Biosensors for Monitoring of Airborne Microorganisms.Iranian journal of biotechnology · 2024Review
- A multidimensional assessment of in-host fitness costs of drug resistance in the opportunistic fungal pathogen Candida glabrata.FEMS yeast research · 2024Article
- Applied Methods to Assess the Antimicrobial Activity of Metallic-Based Nanoparticles.Bioengineering (Basel, Switzerland) · 2023Article
- Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation.Sensors (Basel, Switzerland) · 2023Article
- Analytical methods for assessing antimicrobial activity of nanomaterials in complex media: advances, challenges, and perspectives.Journal of nanobiotechnology · 2023Review
- Comparison of In Vitro Approaches to Assess the Antibacterial Effects of Nanomaterials.Journal of functional biomaterials · 2022Article
- Engineered Fluorescent Strains of Cryptococcus neoformans: a Versatile Toolbox for Studies of Host-Pathogen Interactions and Fungal Biology, Including the Viable but Nonculturable State.Microbiology spectrum · 2022Article
- Curcumin and Silver Doping Enhance the Spinnability and Antibacterial Activity of Melt-Electrospun Polybutylene Succinate Fibers.Nanomaterials (Basel, Switzerland) · 2022Article
- Infection withPathogens (Basel, Switzerland) · 2020Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDue 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).
resultsThree 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.
conclusionIn 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.