Paper Matters: Technical Evaluation of Paper-Based Substrates for Enhanced Preconcentration of Biomolecules in Liquid Biopsy Diagnostics
Panagiota M. Kalligosfyri, Antonella Miglione, Alessandra Glovi, Oğuzhan Aker, Valentina Arciuolo, Jussara Amato, Bruno Pagano, Concetta Di Natale, Sevinc Kurbanoglu, Ibrahim A. Darwish, Stefano Cinti

TL;DR
This paper shows how different types of paper can be used to improve the detection of disease biomarkers in a simple and low-cost way.
Contribution
The study introduces a novel use of paper-based substrates for preconcentration of biomolecules in diagnostics.
Findings
Up to 20-fold enhancement in miRNA detection in human serum within 30 seconds.
Paper platforms showed 10-fold and 2-fold improvements for DNA and proteins, respectively.
Substrate choice significantly affects analyte accumulation and detection efficiency.
Abstract
Early detection of disease biomarkers remains a major challenge due to their low abundance in biological fluids. Preconcentration strategies can address this issue, but conventional approaches often require additional time, costly materials, or complex instrumentation. This work explores the use of paper-based substrates as a sustainable and cost-effective alternative for analyte preconcentration, highlighting how the choice of paper type critically influences sensitivity enhancement in analytical methods without compromising simplicity. Three cellulose-based papers (Whatman grade 1, Whatman grade 4, and a commercial laboratory filter paper) were systematically characterized and configured as 3D-origami-inspired, capillary-driven platforms. Their structural and fluidic properties were evaluated to determine how substrate selection affects analyte accumulation, transport, and detection…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsBiosensors and Analytical Detection · Innovative Microfluidic and Catalytic Techniques Innovation · SARS-CoV-2 detection and testing
