Laser-printed paper ELISA and hydroxyapatite immobilization for colorimetric congenital anomalies screening in saliva

Hichem Moulahoum1, Faezeh Ghorbanizamani1, Suna Timur2

  • 1Biochemistry Department, Faculty of Science, Ege University, 35100, Bornova, Izmir, Turkey.

PubMed

Insights

We developed a novel laser-printed paper-based ELISA (LP-pELISA) for noninvasive detection of Alpha-fetoprotein (AFP) in saliva. This cost-effective, user-friendly assay offers sensitive results for congenital anomaly screening at the point-of-care.

Area of Science:

  • Biomarker Detection
  • Point-of-Care Diagnostics
  • Biosensor Technology

Background:

  • Alpha-fetoprotein (AFP) is a crucial biomarker for detecting congenital anomalies like Down syndrome.
  • Current AFP detection methods are invasive and require complex laboratory equipment.
  • Paper-based ELISA (p-ELISA) offers a promising alternative for resource-limited settings.

Purpose of the Study:

  • To develop a novel laser-printed paper-based ELISA (LP-pELISA) for sensitive and noninvasive AFP detection.
  • To utilize saliva as a sample matrix for improved patient accessibility.
  • To establish a cost-effective and user-friendly diagnostic tool.

Main Methods:

  • Fabrication of LP-pELISA by laser printing hydrophobic barriers on filter paper.
  • Immobilization of antibodies onto hydroxyapatite (HAp) modified paper.
  • Colorimetric detection using gold nanoparticles (AuNPs) and silver enhancement.

Main Results:

  • The LP-pELISA demonstrated a linear response for AFP detection from 1.0-800 ng/mL in buffer and saliva.
  • Achieved a limit of detection (LOD) of 1.0 ng/mL for AFP.
  • Validated assay performance with spiked human saliva samples, showing good selectivity, repeatability, and stability.

Conclusions:

  • The LP-pELISA is a simple, cost-effective, and user-friendly platform for noninvasive AFP detection.
  • This technology has broad applicability for detecting other biomarkers, advancing paper-based biosensors.
  • LP-pELISA shows significant potential as a transformative tool for point-of-care diagnostics.
Abstract