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Nanoparticles and Taylor Dispersion as a Linear Time-Invariant System
Author(s) -
Philipp Lemal,
Alke PetriFink,
Sandor Balog
Publication year - 2018
Publication title -
analytical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.117
H-Index - 332
eISSN - 1520-6882
pISSN - 0003-2700
DOI - 10.1021/acs.analchem.8b04228
Subject(s) - taylor dispersion , taylor series , dispersion (optics) , chemistry , radius , absorbance , nanoparticle , invariant (physics) , diffusion , mathematical analysis , optics , physics , thermodynamics , mathematics , chromatography , quantum mechanics , computer security , computer science
The physical principles underpinning Taylor dispersion offer a high dynamic range to characterize the hydrodynamic radius of particles. While Taylor dispersion grants the ability to measure radius within nearly 5 orders of magnitude, the detection of particles is never instantaneous. It requires a finite sample volume, a finite detector area, and a finite detection time for measuring absorbance. First we show that these practical requirements bias the analysis when the self-diffusion coefficient of particles is high, which is typically the case of small nanoparticles. Second we show that the accuracy of the technique may be recovered by treating Taylor dispersion as a linear time-invariant system, which we prove by analyzing the Taylor dispersion spectra of two iron-oxide nanoparticles measured under identical experimental conditions. The consequence is that such treatment may be necessary whenever Taylor dispersion analysis is not optimized for a given size but dedicated to characterize broad groups of particles of varying size and material.

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