Label-free, high-throughput, electrical detection of cells in droplets

Evelien Kemna, Loes Irene Segerink, F. Wolbers, I. Vermes, Albert van den Berg

    Research output: Contribution to journalArticleAcademicpeer-review

    39 Citations (Scopus)

    Abstract

    Today, droplet based microfluidics has become a standard platform for high-throughput single cell experimentation and analysis. However, until now no label-free, integrated single cell detection and discrimination method in droplets is available. We present here a microfluidic chip for fast (>100 Hz) and label-free electrical impedance based detection of cells in droplets. The microfluidic glass-PDMS device consists of two main components, the droplet generator and the impedance sensor. The planar electrode pair in the main channel allows the detection of only cells and cell containing droplets passing the electrodes using electrical impedance measurements. At a measurement frequency of 100 kHz nonviable cells, in low-conducting (LC) buffer, show an increase in impedance, due to the resistive effect of the membrane. The opposite effect, an impedance decrease, was observed when a viable cell passed the electrode pair, caused by the presence of the conducting cytoplasm. Moreover, we found that the presence of a viable cell in a droplet also decreased the measured electrical impedance. This impedance change was not visible when a droplet containing a non-viable cell or an empty droplet passed the electrode pair. A non-viable cell in a droplet and an empty droplet were equally classified. Hence, droplets containing (viable) cells can be discriminated from empty droplets. In conclusion, these results provide us with a valuable method to label-free detect and select viable cells in droplets. Furthermore, the proposed method provides the first step towards additional information regarding the encapsulated cells (e.g., size, number, morphology). Moreover, this all-electric approach allows for all-integrated Lab on a Chip (LOC) devices for cell applications using droplet-based platforms.
    Original languageEnglish
    Pages (from-to)4585-4592
    Number of pages8
    JournalAnalyst
    Volume138
    Issue number16
    DOIs
    Publication statusPublished - 2013

    Keywords

    • METIS-297030
    • IR-86821

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