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A novel electrochemical immunosensor for ultrasensitive detection of tumor necrosis factor α based on polystyrene -PAMAM dendritic polymer blend nanofibers

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  • معلومة اضافية
    • Contributors:
      Text Engn Dept; Amirkabir University of Technology (AUT); Institut des Sciences Analytiques (ISA); Université Claude Bernard Lyon 1 (UCBL); Université de Lyon-Université de Lyon-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS); ISA-Micro & Nanobiotechnologies; Université de Lyon-Université de Lyon-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL); ISA-Biophysics of complex systems; P.R. thanks the Ministry of Science, Research and Technology of the Islamic Republic of Iran for providing the scholarship.
    • بيانات النشر:
      CCSD
      Elsevier
    • الموضوع:
      2022
    • Collection:
      HAL Lyon 1 (University Claude Bernard Lyon 1)
    • نبذة مختصرة :
      International audience ; A simple, rapid, and highly sensitive label-free immunosensor based on polystyrene (PS)-polyamidoamine (PAMAM) dendritic polymer nanofibers (NFs) for detection of tumor necrosis factor-α (TNF-α) cytokine was developed. The choice of PAMAM was due to the possibility of designing the surface of NFs to create stabilization of the antibody on the nanofiber surface. The immunosensor had a very high affinity for TNFα cytokines, with a linear response ranging from 10 to 200 pg/mL and a low limit of detection (LOD) of 669 fg/mL. Interference results with Interleukin-10 (IL-10) cytokine showed that the immunosensor was extremely specific and may be utilized to detect cytokines in clinical diagnosis.
    • الرقم المعرف:
      10.1016/j.microc.2022.107206
    • الدخول الالكتروني :
      https://hal.science/hal-03997116
      https://hal.science/hal-03997116v1/document
      https://hal.science/hal-03997116v1/file/Revised%20Manuscript.pdf
      https://doi.org/10.1016/j.microc.2022.107206
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.5CC4F87D