Electrochemical Impedance Immunoassay for ALS-Associated Neurofilament Protein: Matrix Effect on the Immunoplatform

Omair Adil1, Mohtashim H Shamsi1

  • 1School of Chemical and Biomolecular Sciences, Southern Illinois University, 1245 Lincoln Drive, Carbondale, IL 62918, USA.

Biosensors
|February 25, 2023
PubMed

Insights

This study introduces a faster electrochemical immunoassay for detecting neurofilament light chain (Nf-L) in Amyotrophic Lateral Sclerosis (ALS) diagnosis. Human serum improved assay performance, offering a more sensitive detection method for this key ALS biomarker.

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Analytical Chemistry

Background:

  • Amyotrophic Lateral Sclerosis (ALS) diagnosis is complex and time-consuming.
  • Electrochemical immunoassays offer a potential for simpler and faster diagnostic methods.
  • Neurofilament light chain (Nf-L) is a key biomarker associated with ALS.

Purpose of the Study:

  • To develop and evaluate an electrochemical impedance immunoassay for detecting Nf-L.
  • To compare the performance of the immunoassay in buffer and human serum.
  • To establish Nf-L calibration models and analyze patient samples.

Main Methods:

  • Utilized reduced graphene oxide (rGO) screen-printed electrodes for a label-free electrochemical impedance immunoassay.
  • Measured charge transfer resistance (RCT) as the signal response.
  • Developed calibration models in both buffer and human serum media.

Main Results:

  • Human serum enhanced the immunoassay's impedance response and reduced relative error compared to buffer.
  • The immunoassay in serum achieved higher sensitivity and a lower limit of detection (0.087 ng/mL) than in buffer (0.39 ng/ng/mL).
  • Nf-L concentration correlated positively with age and was higher in males than females.

Conclusions:

  • The developed electrochemical immunoassay provides a sensitive and efficient method for Nf-L detection.
  • Human serum is a superior medium for this immunoassay, yielding better performance metrics.
  • The findings suggest potential for predicting Nf-L concentrations between media and highlight demographic correlations with Nf-L levels in ALS.