Investigating the Use of Impedance Flow Cytometry for Classifying the Viability State of
bacteria characterization
bacteria detection
bacteria inactivation
impedance flow cytometry
impedance spectroscopy
lab-on-a-chip
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
06 Nov 2020
06 Nov 2020
Historique:
received:
07
10
2020
revised:
29
10
2020
accepted:
03
11
2020
entrez:
11
11
2020
pubmed:
12
11
2020
medline:
23
3
2021
Statut:
epublish
Résumé
Bacteria detection, counting and analysis is of great importance in several fields. When viability plays a major role in decision making, the counting of colony-forming units grown on agar plates remains the gold standard. However, because plate counts depend on the growth of the bacteria, it is a slow procedure and only works with culturable species. Impedance flow cytometry (IFC) is a promising technology for particle detection, counting and characterization. It relies on the perturbation of an electric field by particles flowing through a microfluidic channel. The perturbation is directly related to the electrical properties of the particles, and therefore provides information about their composition and structure. In this work we investigate whether IFC can be used to differentiate viable cells from inactivated cells. Our findings demonstrate that the specific viability state of the bacteria has to be considered, but that with proper characterization thresholds, IFC can be used to classify bacterial viability states. By using three different inactivation methods-ethanol, heat and autoclavation-we have been able to show that the impedance response of Escherichia coli depends on its viability state, but that the specific response depends on the inactivation method. With these findings we expect to be able to optimize IFC for more reliable bacteria detection and counting in the future.
Identifiants
pubmed: 33172055
pii: s20216339
doi: 10.3390/s20216339
pmc: PMC7664255
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Innovationsfonden
ID : 7038-00185B
Références
Biotechnol Adv. 2018 Jul - Aug;36(4):1003-1024
pubmed: 29534915
Food Microbiol. 2010 Sep;27(6):710-30
pubmed: 20630313
PLoS One. 2016 Nov 10;11(11):e0165531
pubmed: 27832091
Cytometry A. 2005 Jun;65(2):124-32
pubmed: 15825181
Cytometry A. 2010 Jul;77(7):648-66
pubmed: 20583276
Can J Microbiol. 2004 Nov;50(11):883-90
pubmed: 15644905
Appl Environ Microbiol. 1991 Mar;57(3):875-8
pubmed: 2039237
Plant Sci. 2020 Nov;300:110586
pubmed: 33180700
Lab Chip. 2001 Sep;1(1):76-82
pubmed: 15100895
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2500-2503
pubmed: 33018514
Cytometry A. 2007 Aug;71(8):592-8
pubmed: 17421025
ISRN Microbiol. 2013 Sep 26;2013:703813
pubmed: 24191231
Lab Chip. 2011 Feb 7;11(3):407-12
pubmed: 21060945
Int J Environ Res Public Health. 2013 Nov 14;10(11):6169-83
pubmed: 24240728
Langmuir. 2010 Mar 16;26(6):3821-8
pubmed: 19845351
Appl Microbiol Biotechnol. 2019 Oct;103(20):8619-8629
pubmed: 31396681
Biosens Bioelectron. 2016 Mar 15;77:824-36
pubmed: 26513290
Biophys Chem. 2006 Jul 20;122(2):136-42
pubmed: 16603309
Nat Methods. 2012 Jun 28;9(7):676-82
pubmed: 22743772
Biotechnol Bioeng. 2012 Feb;109(2):483-92
pubmed: 21956238
J Microbiol Methods. 2001 Mar 1;44(2):121-9
pubmed: 11165341
Biosensors (Basel). 2014 Aug 13;4(3):257-72
pubmed: 25587422
Lab Chip. 2012 Jul 21;12(14):2560-7
pubmed: 22581052
Appl Environ Microbiol. 2014 Oct;80(19):5884-91
pubmed: 25038100
Sensors (Basel). 2018 Oct 17;18(10):
pubmed: 30336557
Biosens Bioelectron. 2014 Jul 15;57:245-53
pubmed: 24594591
Lab Chip. 2014 Sep 7;14(17):3313-24
pubmed: 24984254
Arch Microbiol. 2001 Sep;176(3):159-64
pubmed: 11511862