A Quantification of Target Protein Biomarkers in Complex Media by Faradaic Shotgun Tagging.
Mohamed SharafeldinFelix FleschhutTimothy JamesJason J DavisPublished in: Analytical chemistry (2022)
The progressive emergence of protein biomarkers promises a revolution in the healthcare industry and a shift of focus from disease management to much earlier intervention. Here, we introduce a facile shotgun tagging of ensemble proteins in clinically relevant media prior to specific target capture at antibody-modified electrodes. This facilitates a convenient voltammetric quantification of markers down to sub-pg/mL levels and across several orders of concentration. A translation of the methodology to an automated microfluidic platform enables marker quantification from 25 μL of sample in less than 15 min, demonstrated here with a simultaneous assaying of CRP and cardiac troponin I (cTnI). The assays show a good correlation with a standard immunoassay when applied to real patient serum samples. The platform is simple, generic, highly sensitive and requires no secondary labeling/binding or amplification.
Keyphrases
- high throughput
- healthcare
- reduced graphene oxide
- label free
- randomized controlled trial
- binding protein
- amino acid
- case report
- single cell
- quantum dots
- circulating tumor cells
- fluorescent probe
- machine learning
- convolutional neural network
- nucleic acid
- dna binding
- transcription factor
- carbon nanotubes
- deep learning
- single molecule
- tandem mass spectrometry