2013
DOI: 10.1103/physreve.87.022716
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Dynamic analysis of a diffusing particle in a trapping potential

Abstract: The dynamics of a diffusing particle in a potential field is ubiquitous in physics, and it plays a pivotal role in single-molecule studies. We present a formalism for analyzing the dynamics of diffusing particles in harmonic potentials at low Reynolds numbers using the time evolution of the particle probability distribution function. We demonstrate the power of the formalism by simulation and by measuring and analyzing a nanobead tethered to a single DNA molecule. It allows one to simultaneously extract all th… Show more

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Cited by 34 publications
(35 citation statements)
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“…In addition, some progress has been made recently in extracting relevant physical parameters using data collected in the regime where both drift and diffusion effects are significant [24,30]. Accounting for drift effects will allow sampling rates that are slower relative to the diffusion time scales to still yield useful information.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, some progress has been made recently in extracting relevant physical parameters using data collected in the regime where both drift and diffusion effects are significant [24,30]. Accounting for drift effects will allow sampling rates that are slower relative to the diffusion time scales to still yield useful information.…”
Section: Discussionmentioning
confidence: 99%
“…6" rend="display" xml:id="FD6">S(t,t0)=1exptrue(4(tt0)τtrue), with time constant τ=2kBTKD, and D is the diffusion constant given by the Stokes-Einstein equation [30] D=kBT6πηR. In the limit t → ∞ , the distribution decays to the steady-state …”
Section: Introductionmentioning
confidence: 99%
“…In the low-force regime, DNA has an effective spring constant of K3kBT2L0Lp [30]. For a 900 bp tether and a particle with radius R =160 nm Eq.…”
Section: Introductionmentioning
confidence: 99%
“…Along the y axis, this gradient force acts as a harmonic optical restoring force which is counterbalanced by Brownian fluctuations. The probability density function of the nanoparticle position over time is governed by the Smoluchowski equation for a harmonic biasing force [25]: tPfalse(y,t|y0,t0false)=D(2y2+ktrapkBTyy)P(y,t|y0,t0), where D is the diffusion coefficient and k trap is the spring constant of the effective harmonic potential.…”
Section: D Nfm Theorymentioning
confidence: 99%
“…Following the results of Lindner et al for tethered Brownian motion [25], the solution to this partial differential equation is a Gaussian function with a variance that grows over time and depends on both k trap and D : σ2false(Δtfalse)=kBTktrap[1normalexp(2false(ktrapDfalse)ΔtkBT)].…”
Section: D Nfm Theorymentioning
confidence: 99%