Madeline Altmann, Anders Henriksson, Peter Neubauer, Mario Birkholz
{"title":"电子选择可行的军团菌细胞的视频为基础,可量化的电泳法。","authors":"Madeline Altmann, Anders Henriksson, Peter Neubauer, Mario Birkholz","doi":"10.1007/s10544-025-00762-1","DOIUrl":null,"url":null,"abstract":"<div><p>The accurate selection of living from dead pathogenic cells is crucial as exemplified in the context of detecting <i>Legionella</i> bacteria, which can be present in various water facilities and pose a threat to public health by causing severe respiratory problems. Traditional methods for <i>Legionella</i> detection, such as cultivation, are time-consuming, taking several days to yield valid results. Additionally, widely used bioanalytical methods like PCR lack the ability to distinguish between living and dead cells, leading to the potential for false-positive results. While dielectrophoresis has been proposed as a promising method for separating living and dead cells, our study contrasts with existing literature, revealing that the separation process and parameter characterization are non-trivial. In response to this challenge, our work introduces a novel, systematic approach of automated video analysis capable of quantifying the dielectrophoretic response of cells. By assigning a response coefficient to the dielectrophoretic effect at different conditions, our method identifies a narrow window for successful cell selection of viable <i>Legionella</i> cells from the non-pathogenic species <i>L. parisiensis</i> utilizing a microfluidic flow cell with top–bottom electrodes. These findings serve as a crucial pre-step in <i>Legionella</i> sensing, demonstrating applicability in experiments focused on the most relevant pathogenic species, <i>L. pneumophila</i>. Moreover, our method can be transferred to other cell types for quantitative detection of the dielectrophoretic response and identify optimal separation parameters.</p></div>","PeriodicalId":490,"journal":{"name":"Biomedical Microdevices","volume":"27 3","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12310904/pdf/","citationCount":"0","resultStr":"{\"title\":\"Electronic selection of viable Legionella cells by a video-based, quantifiable dielectrophoresis approach\",\"authors\":\"Madeline Altmann, Anders Henriksson, Peter Neubauer, Mario Birkholz\",\"doi\":\"10.1007/s10544-025-00762-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The accurate selection of living from dead pathogenic cells is crucial as exemplified in the context of detecting <i>Legionella</i> bacteria, which can be present in various water facilities and pose a threat to public health by causing severe respiratory problems. Traditional methods for <i>Legionella</i> detection, such as cultivation, are time-consuming, taking several days to yield valid results. Additionally, widely used bioanalytical methods like PCR lack the ability to distinguish between living and dead cells, leading to the potential for false-positive results. While dielectrophoresis has been proposed as a promising method for separating living and dead cells, our study contrasts with existing literature, revealing that the separation process and parameter characterization are non-trivial. In response to this challenge, our work introduces a novel, systematic approach of automated video analysis capable of quantifying the dielectrophoretic response of cells. By assigning a response coefficient to the dielectrophoretic effect at different conditions, our method identifies a narrow window for successful cell selection of viable <i>Legionella</i> cells from the non-pathogenic species <i>L. parisiensis</i> utilizing a microfluidic flow cell with top–bottom electrodes. These findings serve as a crucial pre-step in <i>Legionella</i> sensing, demonstrating applicability in experiments focused on the most relevant pathogenic species, <i>L. pneumophila</i>. 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Electronic selection of viable Legionella cells by a video-based, quantifiable dielectrophoresis approach
The accurate selection of living from dead pathogenic cells is crucial as exemplified in the context of detecting Legionella bacteria, which can be present in various water facilities and pose a threat to public health by causing severe respiratory problems. Traditional methods for Legionella detection, such as cultivation, are time-consuming, taking several days to yield valid results. Additionally, widely used bioanalytical methods like PCR lack the ability to distinguish between living and dead cells, leading to the potential for false-positive results. While dielectrophoresis has been proposed as a promising method for separating living and dead cells, our study contrasts with existing literature, revealing that the separation process and parameter characterization are non-trivial. In response to this challenge, our work introduces a novel, systematic approach of automated video analysis capable of quantifying the dielectrophoretic response of cells. By assigning a response coefficient to the dielectrophoretic effect at different conditions, our method identifies a narrow window for successful cell selection of viable Legionella cells from the non-pathogenic species L. parisiensis utilizing a microfluidic flow cell with top–bottom electrodes. These findings serve as a crucial pre-step in Legionella sensing, demonstrating applicability in experiments focused on the most relevant pathogenic species, L. pneumophila. Moreover, our method can be transferred to other cell types for quantitative detection of the dielectrophoretic response and identify optimal separation parameters.
期刊介绍:
Biomedical Microdevices: BioMEMS and Biomedical Nanotechnology is an interdisciplinary periodical devoted to all aspects of research in the medical diagnostic and therapeutic applications of Micro-Electro-Mechanical Systems (BioMEMS) and nanotechnology for medicine and biology.
General subjects of interest include the design, characterization, testing, modeling and clinical validation of microfabricated systems, and their integration on-chip and in larger functional units. The specific interests of the Journal include systems for neural stimulation and recording, bioseparation technologies such as nanofilters and electrophoretic equipment, miniaturized analytic and DNA identification systems, biosensors, and micro/nanotechnologies for cell and tissue research, tissue engineering, cell transplantation, and the controlled release of drugs and biological molecules.
Contributions reporting on fundamental and applied investigations of the material science, biochemistry, and physics of biomedical microdevices and nanotechnology are encouraged. A non-exhaustive list of fields of interest includes: nanoparticle synthesis, characterization, and validation of therapeutic or imaging efficacy in animal models; biocompatibility; biochemical modification of microfabricated devices, with reference to non-specific protein adsorption, and the active immobilization and patterning of proteins on micro/nanofabricated surfaces; the dynamics of fluids in micro-and-nano-fabricated channels; the electromechanical and structural response of micro/nanofabricated systems; the interactions of microdevices with cells and tissues, including biocompatibility and biodegradation studies; variations in the characteristics of the systems as a function of the micro/nanofabrication parameters.