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Stefano Mariani

Researcher at University of Pisa

Publications -  32
Citations -  1342

Stefano Mariani is an academic researcher from University of Pisa. The author has contributed to research in topics: Surface plasmon resonance & Porous silicon. The author has an hindex of 13, co-authored 32 publications receiving 1025 citations. Previous affiliations of Stefano Mariani include University of Florence.

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Layer-by-layer biofunctionalization of nanostructured porous silicon for high-sensitivity and high-selectivity label-free affinity biosensing

TL;DR: An electrostatic layer-by-layer technique to functionalize a surface is reported on and this technique is demonstrated using biotinylated polymer for streptavidin detection in saliva.
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Surface plasmon resonance applications in clinical analysis

TL;DR: The state of the art of clinical target detection with SPR-based biosensors in complex matrices as well as in standard solution when innovative approaches or advanced instrumentations were employed for improved detection are reported.
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4D Printing of a Bioinspired Microneedle Array with Backward‐Facing Barbs for Enhanced Tissue Adhesion

TL;DR: Improved tissue adhesion of the bioinspired MN allows for more stable and robust performance for drug delivery, biofluid collection, and biosensing.
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Flexible Polydimethylsiloxane Foams Decorated with Multiwalled Carbon Nanotubes Enable Unprecedented Detection of Ultralow Strain and Pressure Coupled with a Large Working Range.

TL;DR: The results on piezoresistive, flexible pPDMS/CNT foams pave the way toward breakthrough applications for personalized health care, though not limited to these, which have not been fully addressed to date with flexible strain/stress sensors.
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10 000-Fold Improvement in Protein Detection Using Nanostructured Porous Silicon Interferometric Aptasensors

TL;DR: In this article, a label-free nanostructured porous silicon (PSi) interferometric aptasensor was used to detect tumor necrosis factor alpha (TNFα), a protein biomarker of inflammation and sepsis, at concentration 3.0 nM with signal-to-noise ratio (S/N) of 10.6 and detection limit (DL) of 200 pM.