Determining mean corpuscular volume and red blood cell count using electrochemical collision events

Thy L.T. Ho, Nhung T.T. Hoang, Jungeun Lee, Jun Hui Park, Byung Kwon Kim

Research output: Contribution to journalArticlepeer-review

42 Scopus citations


Blood tests (e.g., red blood cell (RBC) count) are crucial for detecting, diagnosing, and monitoring the progression of blood disorders. Here, we report the development of a new and rapid method for electrochemically detecting RBCs using single-particle collision events. The principle of this method relies on the electrochemical oxidation of an electroactive redox species (potassium ferrocyanide) hindered by an RBC attached to an electrode surface. A decrease in staircase current, caused by the collision of RBCs on the electrode, was observed. The magnitude of this current decrease could provide quantitative information on the size and concentration of RBCs, which could be converted into the mean corpuscular volume (MCV) and used for diagnosis. Anemia-related diseases caused by abnormal count of RBCs (e.g., erythrocytosis, pernicious anemia) or abnormal RBC size (e.g. megaloblastic anemia, microcytic anemia) could be detected easily and quickly using this electrochemical collision method, potentially leading to extensive applications in hematology and point-of-care blood testing devices.

Original languageEnglish
Pages (from-to)155-159
Number of pages5
JournalBiosensors and Bioelectronics
StatePublished - 1 Jul 2018

Bibliographical note

Funding Information:
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning ( NRF - 2015R1C1A1A01055250 , NRF - 2018R1C1B6008668 , and NRF - 2016R1D1A1B03931670 ).

Publisher Copyright:
© 2018 Elsevier B.V.


  • Anemia sensing
  • Electrochemical collision method
  • Mean corpuscular volume (MCV)
  • Red blood cell
  • Ultramicroelectrode


Dive into the research topics of 'Determining mean corpuscular volume and red blood cell count using electrochemical collision events'. Together they form a unique fingerprint.

Cite this