ArticleAnalytical and bioanalytical chemistry2019
Rapid and cost-effective evaluation of bacterial viability using fluorescence spectroscopy.
Article in Analytical and bioanalytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 57 citations in OpenAlex.
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- Continuous separation of bacterial cells from large debris using a spiral microfluidic device.Biomicrofluidics · 2023Article
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- Roles of viable but non-culturable state in the survival ofFrontiers in cellular and infection microbiology · 2023Article
- Recent Methods for the Viability Assessment of Bacterial Pathogens: Advances, Challenges, and Future Perspectives.Pathogens (Basel, Switzerland) · 2022Review
- Novel fluorescence-based method for rapid quantification of live bacteria in river water and treated wastewater.Environmental science. Advances · 2022Article
- Capillary Zone Electrophoresis in Tandem with Flow Cytometry in Viability Study of Various ATCC Bacterial Strains under Antibiotic Treatment.International journal of environmental research and public health · 2022Article
- Rapid measurement of waterborne bacterial viability based on difunctional gold nanoprobe.RSC advances · 2022Article
- Rapid Detection ofMicroorganisms · 2021Article
- Detecting Bacterial Cell Viability in Few µL Solutions from Impedance Measurements on Silicon-Based Biochips.International journal of molecular sciences · 2021Article
- Current Methods, Common Practices, and Perspectives in Tracking and Monitoring Bioinoculants in Soil.Frontiers in microbiology · 2021Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
A rapid and easy method that takes advantage of an inexpensive and portable fibre-based spectroscopic system (optrode) to determine the ratio of live to dead bacteria is proposed. Mixtures of live and dead Escherichia coli with proportions of live:dead cells varying from 0 to 100% were stained using SYTO 9 and propidium iodide (PI) and measured using the optrode. We demonstrated several approaches to obtaining the proportions of live:dead E. coli in a mixture of both live and dead, from analyses of the fluorescence spectra collected by the optrode. To find a suitable technique for predicting the percentage of live bacteria in a sample, four analysis methods were assessed and compared: SYTO 9:PI fluorescence intensity ratio, an adjusted fluorescence intensity ratio, single-spectrum support vector regression (SVR) and multi-spectra SVR. Of the four analysis methods, multi-spectra SVR obtained the most reliable results and was able to predict the percentage of live bacteria in 10
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