GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Small, Wiley, Vol. 19, No. 43 ( 2023-10)
    Abstract: Accurately analyzing the functional activities of natural killer (NK) cells in clinical diagnosis remains challenging due to their coupling with other immune effectors. To address this, an integrated immune cell separator is required, which necessitates a streamlined sample preparation workflow including immunological cell isolation, removal of excess red blood cells (RBCs), and buffer exchange for downstream analysis. Here, a self‐powered integrated magneto‐microfluidic cell separation (SMS) chip is presented, which outputs high‐purity target immune cells by simply inputting whole blood. The SMS chip intensifies the magnetic field gradient using an iron sphere‐filled inlet reservoir for high‐performance immuno‐magnetic cell selection and separates target cells size‐selectively using a microfluidic lattice for RBC removal and buffer exchange. In addition, the chip incorporates self‐powered microfluidic pumping through a degassed polydimethylsiloxane chip, enabling the rapid isolation of NK cells at the place of blood collection within 40 min. This chip is used to isolate NK cells from whole blood samples of hepatocellular cancer patients and healthy volunteers and examined their functional activities to identify potential abnormalities in NK cell function. The SMS chip is simple to use, rapid to sort, and requires small blood volumes, thus facilitating the use of immune cell subtypes for cell‐based diagnosis.
    Type of Medium: Online Resource
    ISSN: 1613-6810 , 1613-6829
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2168761-4
    detail.hit.zdb_id: 2168935-0
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...