4.8 Article

An AC electrokinetics-based electrochemical aptasensor for the rapid detection of microRNA-155

Journal

BIOSENSORS & BIOELECTRONICS
Volume 199, Issue -, Pages -

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2021.113847

Keywords

AC electroosmosis (ACEO); Electrochemical biosensor; Aptamer; miR-155

Funding

  1. Ministry of Science and Tech-nology, R.O.C. [MOST 109-2221-E-006-035]
  2. National Taiwan University [109-2327-B-006-005]
  3. Center of Applied Nanomedicine
  4. National Cheng Kung University from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan

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Traditional immunosensors are often limited by low sensitivity and long detection times, but a rapid electrochemical aptasensor integrated with an AC electroosmotic (ACEO) flow phenomenon has been developed, showing enhanced target hybridization of miR-155. By optimizing electrokinetic conditions, the sensor achieved highly sensitive detection of miR-155 within a short time frame, enabling rapid and real-time sensing of target biomarkers for early infection detection.
Traditional immunosensors are often limited by low sensitivity and long detection times, for they usually depend on passive diffusion-dominated transport of target analytes for the binding reaction with a bio-recognition element such as enzymes, antibodies, and aptamers. Numerous studies rely on electric field manipulation by using alternating current (AC) electrokinetics to enhance the hybridization rate and reduce the hybridization time for faster and more efficient detection. This study demonstrated a rapid electrochemical aptasensor integrated with an AC electroosmotic (ACEO) flow phenomenon for the enhanced target hybridization of microRNA155 (miR-155). Optimization of the electrokinetic conditions for target collection resulted in a saturation point after 75 s miR-155 was detected within the range of 1 aM-10 pM with a detection limit of 1 aM, which is 100 times lower and about 50 times faster compared with the conventional diffusion-dependent detection done for 1 h. The detection was also done in spiked serum samples, and a concentration range within the required detection range was obtained. The highly sensitive and specific results allow for the rapid and real-time sensing of target biomarkers, which can be used for the early detection of infection.

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