Force measurement in the presence of Brownian noise: Equilibrium distribution method vs. Drift method

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 13 figures

Scientific paper

10.1103/PhysRevE.83.041113

The study of microsystems and the development of nanotechnologies require new techniques to measure piconewton and femtonewton forces at microscopic and nanoscopic scales. Amongst the challenges, there is the need to deal with the ineluctable thermal noise, which, in the typical experimental situation of a spatial diffusion gradient, causes a spurious drift. This leads to a correction term when forces are estimated from drift measurements [Phys. Rev. Lett. 104, 170602 (2010)]. Here, we provide a systematic study of such effect comparing the forces acting on various Brownian particles derived from equilibrium distribution and drift measurements. We discuss the physical origin of the correction term, its dependence on wall distance, particle radius, and its relation to the convention used to solve the respective stochastic integrals. Such correction term becomes more significant for smaller particles and is predicted to be in the order of several piconewtons for particles the size of a biomolecule.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Force measurement in the presence of Brownian noise: Equilibrium distribution method vs. Drift method does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Force measurement in the presence of Brownian noise: Equilibrium distribution method vs. Drift method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Force measurement in the presence of Brownian noise: Equilibrium distribution method vs. Drift method will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-337667

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.