AI Article Synopsis

  • The study investigates how gradient properties can enhance the performance of electrochemiluminescence (ECL) immunosensors through a technique called particle gradient assembly patterning (PGAP) using magnetic fields.
  • Magnetic FeO nanoparticles were utilized as carriers, while CdTe quantum dots served as signal labels, demonstrating that PGAP can significantly improve sensitivity.
  • Specifically, the research shows a performance enhancement of about 2.4 times in the gradient immunosensor compared to a regular one, with effective detection of human serum albumin in a wide range, indicating PGAP’s potential for better ECL measurements.

Article Abstract

Gradient properties facilitate the correlation of chemical and physical features of particles on the structure and adherent fate. Herein, performance enhancement is explored by particle gradient assembly patterning (PGAP) formed with magnetic field gradient (MFG) by magnetolithography (ML) in the electrochemiluminescence (ECL) measurement. Magnetic FeO nanoparticles were selected as nanocarriers and coated with a SiO layer for immobilization of primary antibodies. CdTe quantum dots with protein G coatings were selected as signal labels and conjugated with secondary antibodies. Magnetized 500-nm pillar, 1 μm- and 3 μm-line arrays of nickel were placed behind the working electrode modifying the sandwich-structured ECL immunosensor to form various PGAPs. A performance enhancement of ca. 2.4 times was observed when comparing the PGAP-free immunosensor to the researched gradient immunosensor, formed with a magnetized 3 μm-line array of nickel. This concludes that the sensitivity of an ECL immunosensor has been enhanced due to PGAP properties. When the immunosensor with PGAP properties was used to quantify human serum albumin, it exhibited a wide linear range (10-480 ng/mL), and a limit of detection of 10 ng/mL. PGAP properties, formed with MFG by ML, provides a simple method to improve the ECL performance.

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Source
http://dx.doi.org/10.1016/j.bios.2021.113240DOI Listing

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