Fluorescence Spectroscopy Based Characterization of Pseudomonas Aeruginosa Suspension.

Colony forming unit (CFU) Intrinsic tryptophan NADH and FAD fluorescence Optical density method Plate count method Pseudomonas aeruginosa tyrosine

Journal

Journal of fluorescence
ISSN: 1573-4994
Titre abrégé: J Fluoresc
Pays: Netherlands
ID NLM: 9201341

Informations de publication

Date de publication:
15 Sep 2023
Historique:
received: 16 07 2023
accepted: 06 09 2023
medline: 15 9 2023
pubmed: 15 9 2023
entrez: 15 9 2023
Statut: aheadofprint

Résumé

In this article, optical characterization of Pseudomonas aeruginosa (PA) suspension has been performed by using Fluorescence spectroscopy. Optical density (OD) and plate count methods have been employed as a reference for the analysis of emission spectra of Pseudomonas aeruginosa in water suspension. Emission spectra of PA suspension has been acquired by using excitation wavelengths from 270 to 420 nm with step of 10 nm to explore its spectral behavior. It has been found that emission spectra of tryptophan, tyrosine, NADH and FAD, the intracellular biomolecules of bacteria, can be used as finger prints for the detection of Pseudomonas aeruginosa. Furthermore, the effect of water matrix on the spectral emission of Pseudomonas aeruginosa has been investigated that might be one of the limitation of Fluorescence spectroscopy for complex water matrices. Moreover, a calibration curve has been produced between ODs

Identifiants

pubmed: 37713016
doi: 10.1007/s10895-023-03436-4
pii: 10.1007/s10895-023-03436-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Higher Education Commision, Pakistan
ID : 20-14617/NRPU/R&D/HEC/2021 2021
Organisme : Higher Education Commision, Pakistan
ID : 20-14617/NRPU/R&D/HEC/2021 2021

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Références

Bédard E, Prévost M, Déziel E (2016) Pseudomonas aeruginosa in premise plumbing of large buildings. MicrobiologyOpen 5:937–956
doi: 10.1002/mbo3.391 pubmed: 27353357 pmcid: 5221438
Wang M, Ateia M, Hatano Y et al (2022) Novel fluorescence-based method for rapid quantification of live bacteria in river water and treated wastewater. Environ Science: Adv 1:30–36
Sanders ER (2012) Aseptic Laboratory Techniques: plating methods. J Visualized Experiments: JoVE 1–18
Carlos C, Maretto DA, Poppi RJ et al (2011) Fourier transform infrared microspectroscopy as a bacterial source tracking tool to discriminate fecal E. coli strains. Microchem J 99:15–19
doi: 10.1016/j.microc.2011.03.002
Wenning M, Scherer S (2013) Identification of microorganisms by FTIR spectroscopy: perspectives and limitations of the method. Appl Microbiol Biotechnol 97:7111–7120
doi: 10.1007/s00253-013-5087-3 pubmed: 23860713
Van De Vossenberg J, Tervahauta H, Maquelin K et al (2013) Identification of bacteria in drinking water with Raman spectroscopy. Anal Methods 5:2679–2687
doi: 10.1039/c3ay40289d
Tripathi A, Jabbour RE, Treado PJ et al (2008) Waterborne pathogen detection using Raman spectroscopy. Appl Spectrosc 62:1–9
doi: 10.1366/000370208783412546 pubmed: 18230198
Mothershed EA, Whitney AM (2006) Nucleic acid-based methods for the detection of bacterial pathogens: present and future considerations for the clinical laboratory. Clin Chim Acta 363:206–220
doi: 10.1016/j.cccn.2005.05.050 pubmed: 16139259
Hammes F, Berney M, Wang Y et al (2008) Flow-cytometric total bacterial cell counts as a descriptive microbiological parameter for drinking water treatment processes. Water Res 42:269–277
doi: 10.1016/j.watres.2007.07.009 pubmed: 17659762
Mira P, Yeh P, Hall BG (2022) Estimating microbial population data from optical density. PLoS ONE 17:e0276040
doi: 10.1371/journal.pone.0276040 pubmed: 36228033 pmcid: 9562214
Guo R, McGoverin C, Swift S, Vanholsbeeck F (2017) A rapid and low-cost estimation of bacteria counts in solution using fluorescence spectroscopy. Anal Bioanal Chem 409:3959–3967
doi: 10.1007/s00216-017-0347-1 pubmed: 28389919 pmcid: 5437196
Mao Y, Chen XW, Chen Z et al (2021) Characterization of bacterial fluorescence: insight into rapid detection of bacteria in water. Water Reuse 11:621–631
Shahzad A, Köhler G, Knapp M et al (2009) Emerging applications of fluorescence spectroscopy in medical microbiology field. J Translational Med 7:1–6
doi: 10.1186/1479-5876-7-99
Sohn M, Himmelsbach DS, Barton FE, Fedorka-Cray PJ (2009) Fluorescence spectroscopy for Rapid Detection and classification of bacterial pathogens. Appl Spectrosc 63:1251–1255
doi: 10.1366/000370209789806993 pubmed: 19891833
Leblanc L, Ric Dufour E (2002) Monitoring the identity of bacteria using their intrinsic fluorescence. FEMS Microbiol Lett 211:147–153
doi: 10.1111/j.1574-6968.2002.tb11217.x pubmed: 12076805
Du R, Yang D, Yin X (2022) Rapid Detection of three common Bacteria based on fluorescence spectroscopy. Sensors 22:1168
doi: 10.3390/s22031168 pubmed: 35161912 pmcid: 8840577
Giana HE, Silveira L, Zângaro RA, Pacheco MTT (2003) Rapid identification of bacterial species by fluorescence spectroscopy and classification through principal components analysis. J Fluoresc 13:489–493
doi: 10.1023/B:JOFL.0000008059.74052.3c
Sorensen JPR, Baker A, Cumberland SA et al (2018) Real-time detection of faecally contaminated drinking water with tryptophan-like fluorescence: defining threshold values. Sci Total Environ 622–623:1250–1257
doi: 10.1016/j.scitotenv.2017.11.162 pubmed: 29890592
Wildeboer D, Amirat L, Price RG, Abuknesha RA (2010) Rapid detection of Escherichia coli in water using a hand-held fluorescence detector. Water Res 44:2621–2628
doi: 10.1016/j.watres.2010.01.020 pubmed: 20153013
Nakar A, Schmilovitch Z, Vaizel-Ohayon D et al (2020) Quantification of bacteria in water using PLS analysis of emission spectra of fluorescence and excitation-emission matrices. Water Res 169:115197
doi: 10.1016/j.watres.2019.115197 pubmed: 31670087
Sorensen JPR, Vivanco A, Ascott MJ et al (2018) Online fluorescence spectroscopy for the real-time evaluation of the microbial quality of drinking water. Water Res 137:301–309
doi: 10.1016/j.watres.2018.03.001 pubmed: 29554534
Sorensen JPR, Diaw MT, Pouye A et al (2020) In-situ fluorescence spectroscopy indicates total bacterial abundance and dissolved organic carbon. Sci Total Environ 738:139419
doi: 10.1016/j.scitotenv.2020.139419 pubmed: 32521357
Meder H, Baumstummler A, Chollet R et al (2012) Fluorescence-based rapid detection of microbiological contaminants in water samples. Sci World J 2012:234858
doi: 10.1100/2012/234858
Simões J, Dong T (2018) Continuous and real-time detection of drinking-water pathogens with a low-cost fluorescent optofluidic sensor. Sensors 18:2210
doi: 10.3390/s18072210 pubmed: 29996477 pmcid: 6068492
Gunter H, Bradley C, Hannah DM et al (2023) Advances in quantifying microbial contamination in potable water: potential of fluorescence-based sensor technology. Wiley Interdisciplinary Reviews: Water 10:e1622
doi: 10.1002/wat2.1622
Bridgeman J, Baker A, Brown D, Boxall JB (2015) Portable LED fluorescence instrumentation for the rapid assessment of potable water quality. Sci Total Environ 524–525:338–346
doi: 10.1016/j.scitotenv.2015.04.050 pubmed: 25912529
Baker A, Cumberland SA, Bradley C et al (2015) To what extent can portable fluorescence spectroscopy be used in the real-time assessment of microbial water quality? Sci Total Environ 532:14–19
doi: 10.1016/j.scitotenv.2015.05.114 pubmed: 26057622
Awad F, Ramprasath C, Mathivanan N et al (2014) Optical Fiber-based steady state and fluorescence lifetime spectroscopy for Rapid Identification and classification of bacterial pathogens directly from colonies on Agar Plates. Int Sch Res Notices 2014:1–7
doi: 10.1155/2014/430412
Romero S, Schell RF, Pennell DR (1988) Rapid method for the differentiation of gram-positive and gram-negative bacteria on membrane filters. J Clin Microbiol 26:1378
doi: 10.1128/jcm.26.7.1378-1382.1988 pubmed: 2457600 pmcid: 266613
Leber AL (2016) Preparation of Routine Media and Reagents Used in Antimicrobial Susceptibility Testing. Clinical Microbiology Procedures Handbook 1–3:5.20.1.1–5.20.3.10
Beal J, Farny NG, Haddock-Angelli T et al (2020) Robust estimation of bacterial cell count from optical density. Communications Biology 2020 3:1 3:1–29
Shibata K, Benson AA, Calvin M (1954) The absorption Spectra of Suspensions of living micro-organisms. Biochim Biophys Acta 461–470
Miyazawa K, Kobayashi KI, Nakauchi S, Hiraishi A (2008) In situ detection and identification of microorganisms at single-colony resolution by spectral imaging. Opt Rev 15:285–291
doi: 10.1007/s10043-008-0046-4
Hu Y, Zhao N, Gan T et al (2017) Analytic Method on characteristic parameters of Bacteria in water by Multiwavelength Transmission Spectroscopy. J Spectrosc 1–7
Chami M, Harmel T (2016) Remote Sensing and Ocean Color. Land Surface Remote Sensing in Urban and Coastal Areas 141–183
Imtiaz S, Anwar S, Zada L et al (2023) Fluorescence spectroscopy for the Assessment of Microbial load in UVC treated Water. J Fluoresc. https://doi.org/10.1007/s10895-023-03226-y . https://doi.org/
doi: 10.1007/s10895-023-03226-y pubmed: 37043059
Russell BA (2017) Protein encapsulated gold nanoclusters for biological applications, Thesis. University of Strathclyde, Scotland
Islam MS, Honma M, Nakabayashi T et al (2013) pH dependence of the fluorescence lifetime of FAD in solution and in cells. Int J Mol Sci 14:1952–1963
doi: 10.3390/ijms14011952 pubmed: 23334475 pmcid: 3565358

Auteurs

Sana Imtiaz (S)

National Institute of Lasers and Optronics College, Pakistan Institute of Engineering and Applied Sciences, 45650, Nilore, Islamabad, Pakistan.

Muhammad Saleem (M)

National Institute of Lasers and Optronics College, Pakistan Institute of Engineering and Applied Sciences, 45650, Nilore, Islamabad, Pakistan. salim569mail@gmail.com.

Classifications MeSH