Cited by 29Water Quality Monitoring and AnalysisSpectroscopy Techniques in Biomedical and Chemical ResearchBacterial Identification and Susceptibility Testing

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Concentration vs. Optical Density of ESKAPEE Bacteria: A Method to Determine the Optimum Measurement Wavelength

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Wacogne, Bruno, Belinger Podevin, Marine, Vaccari, Naïs, Koubevi, Claudia, Codjiová, Céline, Gutierrez, Emilie, Davoine, Lucie, Robert-Nicoud, Marjorie, Rouleau, Alain, Frelet-Barrand, Annie·2024·Sensors

Abstract

Optical density measurement has been used for decades to determine the microorganism concentration and more rarely for mammalian cells. Although this measurement can be carried out at any wavelength, studies report a limited number of measurement wavelengths, mainly around 600 nm, and no consensus seems to be emerging to propose an objective method for determining the optimum measurement wavelength for each microorganism. In this article, we propose a method for analyzing the absorbance spectra of ESKAPEE bacteria and determining the optimum measurement wavelength for each of them. The method is based on the analysis of the signal-to-noise ratio of the relationships between concentrations and optical densities when the measurement wavelength varies over the entire spectral range of the absorbance spectra measured for each bacterium. These optimum wavelengths range from 612 nm for Enterococcus faecium to 705 nm for Acinetobacter baumannii. The method can be directly applied to any bacteria, any culture method, and also to any biochemical substance with an absorbance spectrum without any particular feature such as an identified maximum.

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Figure 1 Examples of OD spectra recorded for (a) E. coli, (b) S. aureus, and (c) K. pneumoniae. Legends report concentration for each spectrum.
Figure 1 Examples of OD spectra recorded for (a) E. coli, (b) S. aureus, and (c) K. pneumoniae. Legends report concentration for each spectrum.CC BY · PubMed Central
Figure 2 Examples of OD vs. concentration for (a) E. coli, (b) S. aureus, and (c) K. pneumoniae. ODs were measured from spectra in Figure 1 at 600 nm wavelength.
Figure 2 Examples of OD vs. concentration for (a) E. coli, (b) S. aureus, and (c) K. pneumoniae. ODs were measured from spectra in Figure 1 at 600 nm wavelength.CC BY · PubMed Central
Figure 3 Examples of wavelength-dependent slopes for E. coli, S. aureus, and K. pneumoniae.
Figure 3 Examples of wavelength-dependent slopes for E. coli, S. aureus, and K. pneumoniae.CC BY · PubMed Central
Figure 4 Wavelength-dependent R2 values obtained when fitting data with Equation (1).
Figure 4 Wavelength-dependent R2 values obtained when fitting data with Equation (1).CC BY · PubMed Central
Figure 5 Examples of wavelength-dependent bacteria concentrations for E. coli, S. aureus, and K. pneumoniae calculated at OD = 0.5.
Figure 5 Examples of wavelength-dependent bacteria concentrations for E. coli, S. aureus, and K. pneumoniae calculated at OD = 0.5.CC BY · PubMed Central
Figure 6 Examples of noise extraction for (a) E. coli, (b) S. aureus, and (c) K. pneumoniae. Black curve: extracted noise. Blue curves: ‘rms’ envelopes.
Figure 6 Examples of noise extraction for (a) E. coli, (b) S. aureus, and (c) K. pneumoniae. Black curve: extracted noise. Blue curves: ‘rms’ envelopes.CC BY · PubMed Central
Figure 7 Signal to noise ratios obtained for ESKAPEE bacteria.
Figure 7 Signal to noise ratios obtained for ESKAPEE bacteria.CC BY · PubMed Central
Figure 8 Optimum measurement wavelengths and corresponding SNRs for ESKAPEE bacteria.
Figure 8 Optimum measurement wavelengths and corresponding SNRs for ESKAPEE bacteria.CC BY · PubMed Central

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References 24 · Cited by 29

Research works printed but not linked: 24

  1. Keilin, 1925, On cytochrome, a respiratory pigment, common to animals, yeast, and higher plants, Proc. R. Soc. B, 98, 312
  2. Truong, 2021, Monitoring bacterial response to antibiotic and time growth using near-infrared spectroscopy combined with machine learning, Food Anal. Methods, 14, 1394, 10.1007/s12161-021-01994-6 · DOI
  3. Mager, 1956, Turbidity Changes in Bacterial Suspensions in relation to Osmotic Pressure, Microbiology, 14, 69
  4. Wacogne, B., Belinger-Podevin, M., Vaccari, N., Koubevi, C., Codjiova, C., Gutierrez, E., Bourgeois, P., Davoine, L., Robert-Nicoud, M., and Rouleau, A. (2023). Absorption/attenuation spectra description of ESKAPEE bacteria: Application to seeder-free culture monitoring, mammalian T-cell and bacteria mixture analysis and contamination description. Sensors, 23. · DOI
  5. Dalgaard, 1994, Estimation of bacterial growth rates from turbidimetric and viable count data, Int. J. Food Microbiol., 23, 391, 10.1016/0168-1605(94)90165-1 · DOI
  6. Lee, 2017, High-Speed “4D” Computational Microscopy of Bacterial Surface Motility, ACS Nano, 11, 9340, 10.1021/acsnano.7b04738 · DOI
  7. Shuler, M.L., and Kargi, F. (2002). Bioprocess Engineering: Basic Concepts, Prentice Hall PTR. [2nd ed.]. for example.
  8. Irwin, P., Martin, J., Nguyen, L.H., He, Y., Gerhing, A., and Chen, C.Y. (2010). Antimicrobial activity of spherical silver nanoparticles prepared using a biocompatible macromolecular capping agent: Evidence for induction of a greatly prolonged bacterial lag phase. J. Nanobiotechnol., 8. · DOI
  9. Praveen, P., Vaidya, A., Tutt, K., and Andrews, J. (2021). Assessing the potential of purple phototrophic microbial community for nitrogen recycling from ammonia-rich medium and anaerobic digestate. Bioresour. Technol., 320. · DOI
  10. Sari, 2019, Utilization of Rice Straw Hydrolysis Product of Penicillium sp. H9 as A Substrate of Biosurfactant Production by LII61 Hydrocarbonoclastic Bacteria, IOP Conf. Ser. Earth Environ. Sci., 217, 012028, 10.1088/1755-1315/217/1/012028 · DOI
  11. Kiani, 2023, Nitrogen and phosphate removal from dairy processing side-streams by monocultures or consortium of microalgae, J. Biotechnol., 361, 1, 10.1016/j.jbiotec.2022.11.011 · DOI
  12. Jacques, 2011, Fractal nature of light scattering in tissues, J. Innov. Opt. Health Sci., 4, 1, 10.1142/S1793545811001289 · DOI
  13. Yu, 2020, The alarming antimicrobial resistance in ESKAPEE pathogens: Can essential oils come to the rescue?, Fitoterapia, 140, 104433, 10.1016/j.fitote.2019.104433 · DOI
  14. Wacogne, B., Legrand, D., Pieralli, C., and Frelet-Barrand, A. (2020, January 24–26). Optical Spectroscopy for the Quality Control of ATMP fabrication: A new method to monitor cell expansion and to detect contaminations. Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020)—BIODEVICES, Valletta, Malta. · DOI
  15. Wacogne, B., Vaccari, N., Koubevi, C., Belinger-Podevin, M., Robert-Nicoud, M., Rouleau, A., and Frelet-Barrand, A. (2022). Absorption Spectra Description for T-Cell Concentrations Determination and Simultaneous Measurements of Species during Co-Cultures. Sensors, 22. · DOI
  16. Kim, 2013, In vitro bactericidal effects of 625, 525, and 425 nm wavelength (red, green and blue) light-emitting diode irradiation, Photomed. Laser Surg., 31, 554, 10.1089/pho.2012.3343 · DOI
  17. Zhou, 2020, Detection of breast cancer-derived exosomes using the horseradish peroxidase-mimicking DNAzymes as an aptasensor, Analust, 145, 107, 10.1039/C9AN01653H · DOI
  18. Thorpe, 1990, BacT/Alert: An automated colorimetric microbial detection system, J. Clin. Microbiol., 28, 1608, 10.1128/jcm.28.7.1608-1612.1990 · DOI
  19. Kaya, 2021, Pathogen detection with electrochemical biosensors: Advantages, challenges and future perspectives, J. Electroanal. Chem., 882, 114989, 10.1016/j.jelechem.2021.114989 · DOI
  20. Khoshroo, 2022, Recent advances in electrochemical strategies for bacteria detection, Bioimpacts, 12, 567
  21. Ihssen, J., Jovanovic, N., Sirec, T., and Spitz, U. (2021). Real-time monitoring of extracellular ATP in bacterial cultures using thermostable luciferase. PLoS ONE, 16. · DOI
  22. Fricke, C., Harms, H., and Maskow, T. (2019). Rapid Calorimetric Detection of Bacterial Contamination: Influence of the Cultivation Technique. Front. Microbiol., 10. · DOI
  23. Karo, 2008, Bacteria detection by flow cytometry, Clin. Chem. Lab. Med., 46, 947, 10.1515/CCLM.2008.156 · DOI
  24. Allier, 2010, Bacteria detection with thin wetting film lensless imaging, Biomed. Opt. Express, 1, 762, 10.1364/BOE.1.000762 · DOI

Metadata

Authors
Wacogne, B., Belinger Podevin, M., Vaccari, N., Koubevi, C., Codjiová, C., Gutierrez, E., Davoine, L., Robert-Nicoud, M., Rouleau, A., & Frelet-Barrand, A.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • Institut FEMTO-ST, Université de Franche-Comté, CNRS, F-25000 Besançon, France
  • Smaltis, Bioinnovation, Rue Charles Bried, 25030 Besançon, France
Corresponding author
Wacogne, Bruno
Venue
Sensors
Publisher
MDPI AG
Published
2024-12-21
Volume
24
Issue
24
Pages
8160
ISSN
1424-8220 (ISSN-L)
OpenAlex
W4405721350
Cited by
29
References
24
Citations by year
2026: 18 · 2025: 11
FWCI
7.85
Type
journal article
Language
en
Open access
Locations
  • Sensors (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
EU (DOS0060162/00, BFC000802)
Topics
  • Physical Sciences › Environmental Science › Waste Management and Disposal › Water Quality Monitoring and Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
  • Health Sciences › Medicine › Microbiology (medical) › Bacterial Identification and Susceptibility Testing
Keywords
optical density, optical absorption spectra, signal-to-noise ratio, bacterial concentration, Enterococcus faecium, Acinetobacter baumannii, spectrophotometry
MeSH terms
Bacteria, Enterococcus faecium, Acinetobacter baumannii, Signal-To-Noise Ratio

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CoChat. (2026). Citation check: Concentration vs. Optical Density of ESKAPEE Bacteria: A Method to Determine the Optimum Measurement Wavelength. https://app.cochat.ai/papers/10.3390/s24248160
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Wacogne, B., Belinger Podevin, M., Vaccari, N., Koubevi, C., Codjiová, C., Gutierrez, E., Davoine, L., Robert-Nicoud, M., Rouleau, A., & Frelet-Barrand, A. (2024). Concentration vs. Optical Density of ESKAPEE Bacteria: A Method to Determine the Optimum Measurement Wavelength. Sensors. https://doi.org/10.3390/s24248160