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Featured researches published by Anil K. Vuppu.


Biopolymers | 1997

Tapping mode atomic force microscopy of scleroglucan networks

Anil K. Vuppu; Antonio A. Garcia; Chad Vernia

Tapping mode Atomic Force Microscopy (TmAFM) has been used to study the fungal polysaccharide scleroglucan deposited from aqueous solution and dimethyl sulfoxide (DMSO) onto a mica surface. The solutions from which the microscope samples were produced were prepared by first dissolving the solid scleroglucan in 0.1M NaOH, then neutralizing the solution with HCl, followed by dilution to the required concentration in either water or DMSO. It was found that from the aqueous solution described above, scleroglucan forms networks. Based on a comparison of the denatured-renatured and aqueous solution samples, network formation is due to the imperfect registration between the chains forming the triple helices. The relatively large stiffness of the scleroglucan triple helix is also assumed to contribute to the formation of the extended networks. The triple helix diameter was measured to be 0.92 +/- 0.27 nm, which is in the same range as that obtained by other researchers using similar techniques. Denatured scleroglucan, deposited from DMSO onto mica, forms a web-like layer on top of which there are sphere-like structures. These morphologies are believed to be due to triple helix denaturation yielding highly flexible single chains in DMSO, which results in coiling and web-like dense packing of scleroglucan upon deposition onto mica. Most interestingly after additional of water to the samples deposited from DMSO, some of the chains can be renatured into short, stiff rod-like structures which are similar to the structures observed by others researchers. The imaging data for aqueous solution deposition can be analyzed by plotting maximum end-to-end distance versus the perimeter of the networks deposited onto mica. This yields a Flory-like exponent of 0.67, which is almost similar in value to that obtained by other researchers for linear structures of scleroglucan but less than that expected for a polymer chain following a self-avoiding walk (upsilon = 0.75) model on a two-dimensional surface. The fractal dimension that can be used to characterize the networks was determined graphically to be 1.22 +/- 0.06.


Journal of Applied Physics | 2004

Phase sensitive enhancement for biochemical detection using rotating paramagnetic particle chains

Anil K. Vuppu; Antonio A. Garcia; Mark A. Hayes; Karl S. Booksh; Patrick E. Phelan; Ronald Calhoun; Sanjoy K. Saha

Paramagnetic particle suspensions placed in a rotating unidirectional magnetic field form magnetic chains that rotate with the same frequency as the field. The motion of the fluid and particles surrounding the chain differs in phase and frequency from the chain rotation, a phenomenon that forms the basis of a sensitive detection scheme. Fluorescent particles that bind to the paramagnetic particles through their surface chemistry are used to demonstrate the concept. Epifluorescence video microscopy is used to capture images of the rotating chains. View windows placed over sequential images of rotating chains allows for measurement of the fluorescence brightness in the window, which is composed of periodic signal from the steady rotation of the chain plus the background. A lock-in reference synchronized to the chain rotation is used to enhance the fluorescence signal from chain and improve signal to noise. Two different modes of chain rotation and signal collection are demonstrated. This technique can be us...


2004 ASME International Mechanical Engineering Congress and Exposition, IMECE 2004 | 2004

Simulation of magneto-rheological fluids using lattice boltzmann method

A. Yadav; Ronald Calhoun; Patrick E. Phelan; Anil K. Vuppu; Antonio A. Garcia; Mark A. Hayes

Lattice Boltzmann (LB) simulations of Magneto-rheological fluids under a rotating magnetic field are presented in this paper. The LB method gives a complete solution of Navier-Stokes equation based on the Boltzmann transport equation. A relatively good agreement of normalized number of aggregated particles in experiments and simulations is found. Results pertaining to variation of chain length vs. Mason number are also shown. A complete analysis and comparison of forces on the particles found from LB simulations and from simple Particle dynamics (PD) type approach is also shown. Another aim of this study was to determine under what conditions do we need to solve the complete Navier-Stokes equations and under what conditions a simplistic but very fast simulation method like particle dynamics will work for Magneto-rheological fluids.Copyright


2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005 | 2005

Comparative Study on the Dynamics of Rotating Paramagnetic Particles Simulated by Particle Dynamics, Stokesian Dynamics and Lattice Boltzmann Methods

S. Krishnamurthy; A. Yadav; Patrick E. Phelan; Ronald Calhoun; Anil K. Vuppu; Antonio A. Garcia; Mark A. Hayes

Paramagnetic particles, when subjected to external unidirectional rotating magnetic fields, form chains which rotate along with the magnetic field. In this paper three simulation methods, namely particle dynamics (PD), Stokesian dynamics (SD) and Lattice Boltzmann (LB) methods, have been used to study the dynamics of these rotating chains. SD simulations with two different levels of approximations—additivity of forces (AF) and additivity of velocities (AV)—for hydrodynamic interactions have been carried out. The effect of hydrodynamic interactions between paramagnetic particles under the effect of a rotating magnetic field is analyzed by comparing the LB & SD simulations, which include hydrodynamic interactions, with PD simulations in which hydrodynamic interactions are neglected. It has been found that for macroscopically observable properties like average chain length as a function of Mason number (Ma), reasonable agreement is found between all the three methods. For microscopic properties like the force distribution on each particle along the chain, inclusion of hydrodynamic interaction becomes important to understand the underlying physics of chain formation. This has been validated by the fact that when the phase angle is calculated as a function of Ma using PD and SD simulations, PD simulations showed higher values compared to SD simulations at lower Ma. A comparison with experimental data showed SD method to be more accurate at low Ma. Further comparison between the two approximations of SD simulations revealed that the AF method reproduces hydrodynamic interactions more accurately.Copyright


richard tapia celebration of diversity in computing | 2003

Modeling flow around a microrotor in creeping flow using a quasi-steady-state analysis

Anil K. Vuppu; Antonio A. Garcia; Sanjoy K. Saha; Patrick E. Phelan; Ronald Calhoun; Mark A. Hayes

Paramagnetic microsphere suspensions placed in a rotating magnetic field aggregate to form rotating magnetic chains. These chains that are several tens of micrometers in length act as microrotors, and can be modeled as circular cylinders. The flow and associated micromixing around these cylinders rotating about their radial axis is studied for a very low Reynolds number, creeping-flow system.. Time-scales for momentum transfer are much smaller than boundary movement, hence a quasi-steady approximation can be used. The flow is derived at every instant from the case of a steady motion of a horizontally translating cylinder, with the rotation approximated to a series of incremental translations. A numerical simulation was used to determine the pathlines and material lines of point fluid elements, which were analyzed to understand the behavior of the microfluidic system. The results indicate the flow to be unsteady, with chaotic advection observed in the system. The flow is primarily two-dimensional with planar fluid movement limited to the immediate area around the rotating cylinder, with a small disturbance in the axial direction that is experienced up to many diameters away. Elliptic and star shaped pathlines, including periodic orbits, are observed depending on the fluid elements initial location. The trajectories and phase angles compare well with the limited experimental results, as well as with data from particle dynamics simulations. Material lines and streaklines display stretching and folding, which are indicative of the chaotic behavior of the system. The material lines have similar lengths for the same amount of rotation at different speeds, and the affect of rotational speeds appears to be primarily to change the time of mixing.


Langmuir | 2003

Video Microscopy of Dynamically Aggregated Paramagnetic Particle Chains in an Applied Rotating Magnetic Field

Anil K. Vuppu; Antonio A. Garcia; Mark A. Hayes


Archive | 1999

Bioseparation process science

Antonio A. Garcia; Matthew R. Bonen; Jaime Ramírez-Vick; Anil K. Vuppu


Lab on a Chip | 2006

Paramagnetic particles and mixing in micro-scale flows

Ronald Calhoun; A. Yadav; Patrick E. Phelan; Anil K. Vuppu; Antonio A. Garcia; Mark A. Hayes


Microfluidics and Nanofluidics | 2008

Dynamics of rotating paramagnetic particle chains simulated by particle dynamics, Stokesian dynamics and lattice Boltzmann methods

S. Krishnamurthy; A. Yadav; Patrick E. Phelan; Ronald Calhoun; Anil K. Vuppu; Antonio A. Garcia; Mark A. Hayes


Archive | 2001

Rapid flow-based immunoassay microchip

Mark A. Hayes; Nolan A. Polson; Anil K. Vuppu; Timothy A. Crowley; Antonio A. Garcia

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Mark A. Hayes

Arizona State University

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Ronald Calhoun

Arizona State University

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A. Yadav

Arizona State University

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Sanjoy K. Saha

Arizona State University

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Karl S. Booksh

Arizona State University

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