Measurement Quality Metrics to Improve Absolute Microbial Cell Counting

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Pubblicato in:bioRxiv (Feb 19, 2025)
Autore principale: Parratt, Kirsten
Altri autori: Newton, David, Dunkers, Joy P, Dootz, Jennifer N, Hunter, Monique E, Logan, Alshae', Pierce, Laura, Sarkar, Sumona, Servetas, Stephanie L, Lin, Nancy
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Cold Spring Harbor Laboratory Press
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022 |a 2692-8205 
024 7 |a 10.1101/2025.02.18.638308  |2 doi 
035 |a 3168488962 
045 0 |b d20250219 
100 1 |a Parratt, Kirsten 
245 1 |a Measurement Quality Metrics to Improve Absolute Microbial Cell Counting 
260 |b Cold Spring Harbor Laboratory Press  |c Feb 19, 2025 
513 |a Working Paper 
520 3 |a Total and viable microbial cell counts are increasingly important for applications including live biotherapeutic products, food safety, and probiotics. In microbiology, cells are quantified using methods such as colony forming unit (CFU), flow cytometry, and polymerase chain reaction (PCR), but different methods measure different aspects of the cells (measurands), and results may not be directly comparable across methods. In the absence of a ground-truth reference material for cell count, one cannot quantify the accuracy of any cell counting method, which limits method performance assessments and comparisons. Herein, a modified analysis of cell counting methods based on the ISO 20391-2:2019 standard was developed and demonstrated for microbial cell samples diluted over a log-scale range of concentrations. Escherichia coli samples ranging in concentration from approximately 5 x 10^5 cells/mL to 2 x 10^7 cells/mL were quantified using CFU, Coulter principle, fluorescence flow cytometry, and impedance flow cytometry. Quality metrics modified from the ISO standard were calculated for each method and shown to be repeatable across replicate experiments. The quality metrics illustrate large differences in proportionality and variability across methods, with total cell counts in good agreement and viable cell count having more variability. As the ISO standard is meant to guide fit-for-purpose method selection, interpretation of the results and quality metrics can drive method choice and optimization. The framework introduced here will help researchers select fit-for-purpose counting methods for quantification of microbial total and viable cells across a range of applications.Competing Interest StatementThe authors have declared no competing interest.Footnotes* https://doi.org/10.18434/mds2-3410 
653 |a Food quality 
653 |a Counting methods 
653 |a Polymerase chain reaction 
653 |a Methods 
653 |a Flow cytometry 
653 |a Probiotics 
653 |a Microorganisms 
700 1 |a Newton, David 
700 1 |a Dunkers, Joy P 
700 1 |a Dootz, Jennifer N 
700 1 |a Hunter, Monique E 
700 1 |a Logan, Alshae' 
700 1 |a Pierce, Laura 
700 1 |a Sarkar, Sumona 
700 1 |a Servetas, Stephanie L 
700 1 |a Lin, Nancy 
773 0 |t bioRxiv  |g (Feb 19, 2025) 
786 0 |d ProQuest  |t Biological Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3168488962/abstract/embedded/BH75TPHOCCPB476R?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3168488962/fulltextPDF/embedded/BH75TPHOCCPB476R?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u https://www.biorxiv.org/content/10.1101/2025.02.18.638308v1