2017
DOI: 10.1128/aem.00938-17
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Flow Cytometry Is a Powerful Tool for Assessment of the Viability of Fungal Conidia in Metalworking Fluids

Abstract: Fungal contamination of metalworking fluids (MWF) is a dual problem in automated processing plants because resulting fungal biofilms obstruct cutting, drilling, and polishing machines. Moreover, some fungal species of MWF comprise pathogens such as Fusarium solani. Therefore, the development of an accurate analytical tool to evaluate conidial viability in MWF is important. We developed a flow cytometric method to measure fungal viability in MWF using F. solani as the model organism. To validate this method, vi… Show more

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Cited by 17 publications
(12 citation statements)
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“…mirabilis . Of relevance, such predictive power was recently also described by our group for the antifungal capacity, after incubation of different commercial MWF with Fusarium solani [29].…”
Section: Discussionmentioning
confidence: 95%
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“…mirabilis . Of relevance, such predictive power was recently also described by our group for the antifungal capacity, after incubation of different commercial MWF with Fusarium solani [29].…”
Section: Discussionmentioning
confidence: 95%
“…There are only a handful of studies describing the use of FCM to evaluate microbial viability in MWF. Recently, our group has developed a novel method that allows the accurate prediction of the fungicidal potential of MWF using FCM viability measurements [29]. This method uses a simple centrifugation protocol to isolate fungal conidia from MWF.…”
Section: Discussionmentioning
confidence: 99%
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“…Currently, with the emergence of automated cell counters, researchers can analyze a large number of samples faster [15,16] and with less variability stemming from human-error. The development of computers, automation software, optics, fluorescent dyes and precision manufacturing techniques together with modern technologies such as flow cytometry and image cytometry, has helped to overcome many of the drawbacks associated with the hemacytometer [17][18][19][20][21][22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%