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Ilaria De Santo

Researcher at Istituto Italiano di Tecnologia

Publications -  11
Citations -  292

Ilaria De Santo is an academic researcher from Istituto Italiano di Tecnologia. The author has contributed to research in topics: Fluorescence correlation spectroscopy & Diffusion (business). The author has an hindex of 7, co-authored 11 publications receiving 258 citations. Previous affiliations of Ilaria De Santo include University of Naples Federico II.

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Fluorescence Lifetimes and Quantum Yields of Rhodamine Derivatives: New Insights from Theory and Experiment

TL;DR: It is shown that the radiative lifetime of rhodamines can be correlated to the charge transfer from the phenyl toward the xanthene moiety occurring upon the S(0) ← S(1) de-excitation, and to thexanthene/phenyl relative orientation assumed in the S (1) minimum structure.
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Rheometry-on-a-chip: measuring the relaxation time of a viscoelastic liquid through particle migration in microchannel flows

TL;DR: A novel method based on the particle migration phenomenon occurring when the suspending viscoelastic fluid flows in microfluidic channels to measure the fluid relaxation times of two water-glycerol polymer solutions in an ample range of concentrations.
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Subdiffusive molecular motion in nanochannels observed by fluorescence correlation spectroscopy.

TL;DR: The evaluation of the subdiffusive mode and the key parameters extracted at the single-molecule level of partitioning, intrachannel diffusion time, desorption time, and binding probability at surfaces can be exploited for the engineering of bioanalytic nanodevices.
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Microfluidic Lagrangian Trap for Brownian Particles: Three-Dimensional Focusing down to the Nanoscale

TL;DR: In this paper, the authors demonstrate that viscoelastic properties of a carrier fluid can be exploited to counter Brownian agitation and focus and trap nanoscale particles in a microfluidic flow.
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A closed form for fluorescence correlation spectroscopy experiments in submicrometer structures.

TL;DR: A close form solution is proposed to explicitly account for the presence of walls located at a distance comparable with the characteristic detection volume lengths and derive a one-dimensional diffusion constrained model and generalize the solution to the two- and the three-dimensional constrained cases.