2010
DOI: 10.1016/j.aca.2010.09.035
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Counting bacteria on a microfluidic chip

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Cited by 44 publications
(34 citation statements)
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“…Therefore, our counting technique has same accuracy as that of manual counting. The accuracy of this technique is excellent as verified with independent methods in conventional labs such as by flow cytometer [46]. Also, the particle adhesion on the channel wall has no impact on the detection, as long as the sensing gate is not blocked.…”
Section: Resultsmentioning
confidence: 83%
“…Therefore, our counting technique has same accuracy as that of manual counting. The accuracy of this technique is excellent as verified with independent methods in conventional labs such as by flow cytometer [46]. Also, the particle adhesion on the channel wall has no impact on the detection, as long as the sensing gate is not blocked.…”
Section: Resultsmentioning
confidence: 83%
“…Multiple microfluidic-based methods, including particle counter (Bernabini et al, 2011;Joo et al, 2010;Song et al, 2010), biosensor (Mannoora et al, 2010;Varshney and Li, 2009), and on-chip microbial culture-based methods (Bouguelia et al, 2013;GomezSjoberg et al, 2005), have been utilized for the quantification of bacteria. Among the various label-free signal transduction platforms, impedance biosensors hold promise due to their simple instrumentation, ease of device assembly, and adaptability to multiplexed lab-on-a-chip applications (Boehm et al, 2007; Mannoora et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The requirement for big equipment is a major bottleneck for realtime and rapid detection of bacteria. Microfluidic chip technology could incorporate chemical and biological functional units (Jung et al 2011) with additional benefits of small volume, high integration and easy operation (Song et al 2010;Fronczek et al 2013), which meets the requirements for rapid and high integration detection in the fields of food safety and environmental testing. Existing microfluidic chip methods for bacteria detection mostly rely on molecular biology methods (Baek et al 2015;Chang et al 2015), light detection Zuo et al 2013), or electrochemical detection .…”
Section: Introductionmentioning
confidence: 99%