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Fluorescent Lateral Flow Assay with Carbon Nanodot Conjugates for Carcinoembryonic Antigen

  • Jung Min Lim
  • , Mulya Supianto
  • , Tae Yang Kim
  • , Byeong Soo Kim
  • , Jeong Woo Park
  • , Hyun Hee Jang
  • , Hye Jin Lee
  • Kyungpook National University
  • Kick the Hurdle

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

A lateral flow assay (LFA) sensor on a half-strip platform labeled with blue carbon nanodot-polystyrene (PS-CND) nanoconjugates was developed for the detection of carcinoembryonic antigen (CEA) levels in buffer and serum solutions from healthy and cancer patients. CNDs, biocompatible nanoparticles containing amino groups synthesized by hydrothermal synthesis, were conjugated to spherical polystyrene (PS) beads with an average diameter of 60 nm, followed by the attachment of a detection probe, anti-CEA (M0911042), using a heterobifunctional cross-linker. PS beads were used as a template in CND conjugates to provide uniform size and shape of fluorescent labels without losing CND fluorescence intensity after the antibody conjugation step and to improve fluorescence stability. Upon the interaction of CEA from samples with the anti-CEA (M0911042) probe-modified PS-CND, which was further adsorbed onto a test line composed of the capture anti-CEA (M0911041) physisorbed onto a nitrocellulose membrane, the fluorescent signals on the test line increased as a function of the CEA concentrations under irradiation with a portable 365 nm ultraviolet lamp. A linear concentration range of 0.04–70 nM in buffer was observed, with a limit of detection of 0.3 nM. The applicability of the developed LFA half-strip sensor for disease diagnosis was demonstrated by identifying fluorescent levels on the test line due to the presence of CEA in serum samples from cancer patients. Importantly, signals from healthy human serum solutions because of lower CEA concentrations beyond the sensor detection capability were clearly distinguished from the patient ones.

Original languageEnglish
Pages (from-to)93-103
Number of pages11
JournalBiochip Journal
Volume17
Issue number1
DOIs
StatePublished - Mar 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Carbon nanodots
  • Carcinoembryonic antigen
  • Lateral flow immunoassay
  • Polystyrene
  • Serum analysis

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