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Dive into the research topics where Daniel Ahmed is active.

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Featured researches published by Daniel Ahmed.


Nature Communications | 2016

Rotational manipulation of single cells and organisms using acoustic waves.

Daniel Ahmed; Adem Ozcelik; Nagagireesh Bojanala; Nitesh Nama; Awani Upadhyay; Yuchao Chen; Wendy Hanna-Rose; Tony Jun Huang

The precise rotational manipulation of single cells or organisms is invaluable to many applications in biology, chemistry, physics and medicine. In this article, we describe an acoustic-based, on-chip manipulation method that can rotate single microparticles, cells and organisms. To achieve this, we trapped microbubbles within predefined sidewall microcavities inside a microchannel. In an acoustic field, trapped microbubbles were driven into oscillatory motion generating steady microvortices which were utilized to precisely rotate colloids, cells and entire organisms (that is, C. elegans). We have tested the capabilities of our method by analysing reproductive system pathologies and nervous system morphology in C. elegans. Using our device, we revealed the underlying abnormal cell fusion causing defective vulval morphology in mutant worms. Our acoustofluidic rotational manipulation (ARM) technique is an easy-to-use, compact, and biocompatible method, permitting rotation regardless of optical, magnetic or electrical properties of the sample under investigation.


Lab on a Chip | 2013

An acoustofluidic micromixer based on oscillating sidewall sharp-edges

Po-Hsun Huang; Yuliang Xie; Daniel Ahmed; Joseph Rufo; Nitesh Nama; Yuchao Chen; Chung Yu Chan; Tony Jun Huang

Rapid and homogeneous mixing inside a microfluidic channel is demonstrated via the acoustic streaming phenomenon induced by the oscillation of sidewall sharp-edges. By optimizing the design of the sharp-edges, excellent mixing performance and fast mixing speed can be achieved in a simple device, making our sharp-edge-based acoustic micromixer a promising candidate for a wide variety of applications.


Advanced Materials | 2010

Dynamic Tuning of Plasmon–Exciton Coupling in Arrays of Nanodisk–J‐aggregate Complexes

Yuebing Zheng; Bala Krishna Juluri; Lin Lin Jensen; Daniel Ahmed; Mengqian Lu; Lasse Jensen; Tony Jun Huang

Y.B.Z and B.K.J contributed equally to this work. This research was supported by the Air Force Office of Scientific Research (FA9550-08-1-0349), the National Science Foundation (ECCS-0801922, ECCS-0609128, and ECCS-0609128), and the Penn State Center for Nanoscale Science (MRSEC). Components of this work were conducted at the Pennsylvania State University node of the NSF-funded National Nanotechnology Infrastructure Network. Y.B.Z. recognizes the support from KAUST Scholar Award and the Founders Prize and Grant of the American Academy of Mechanics. The authors thank I-Kao Chiang, Aitan Lawit and Thomas R. Walker for helpful discussions.


Analytical Chemistry | 2014

An acoustofluidic micromixer via bubble inception and cavitation from microchannel sidewalls.

Adem Ozcelik; Daniel Ahmed; Yuliang Xie; Nitesh Nama; Z.G. Qu; Ahmad Ahsan Nawaz; Tony Jun Huang

During the deep reactive ion etching process, the sidewalls of a silicon mold feature rough wavy structures, which can be transferred onto a polydimethylsiloxane (PDMS) microchannel through the soft lithography technique. In this article, we utilized the wavy structures of PDMS microchannel sidewalls to initiate and cavitate bubbles in the presence of acoustic waves. Through bubble cavitation, this acoustofluidic approach demonstrates fast, effective mixing in microfluidics. We characterized its performance by using viscous fluids such as poly(ethylene glycol) (PEG). When two PEG solutions with a resultant viscosity 54.9 times higher than that of water were used, the mixing efficiency was found to be 0.92, indicating excellent, homogeneous mixing. The acoustofluidic micromixer presented here has the advantages of simple fabrication, easy integration, and capability to mix high-viscosity fluids (Reynolds number: ∼0.01) in less than 100 ms.


Scientific Reports | 2015

Selectively manipulable acoustic-powered microswimmers

Daniel Ahmed; Mengqian Lu; Amir Nourhani; Paul E. Lammert; Zak Stratton; Hari S. Muddana; Vincent H. Crespi; Tony Jun Huang

Selective actuation of a single microswimmer from within a diverse group would be a first step toward collaborative guided action by a group of swimmers. Here we describe a new class of microswimmer that accomplishes this goal. Our swimmer design overcomes the commonly-held design paradigm that microswimmers must use non-reciprocal motion to achieve propulsion; instead, the swimmer is propelled by oscillatory motion of an air bubble trapped within the swimmers polymer body. This oscillatory motion is driven by the application of a low-power acoustic field, which is biocompatible with biological samples and with the ambient liquid. This acoustically-powered microswimmer accomplishes controllable and rapid translational and rotational motion, even in highly viscous liquids (with viscosity 6,000 times higher than that of water). And by using a group of swimmers each with a unique bubble size (and resulting unique resonance frequencies), selective actuation of a single swimmer from among the group can be readily achieved.


Analytical Chemistry | 2012

Single-Shot Characterization of Enzymatic Reaction Constants Km and kcat by an Acoustic-Driven, Bubble-Based Fast Micromixer

Yuliang Xie; Daniel Ahmed; Michael Ian Lapsley; Sz-Chin Steven Lin; Ahmad Ahsan Nawaz; Lin Wang; Tony Jun Huang

In this work we present an acoustofluidic approach for rapid, single-shot characterization of enzymatic reaction constants K(m) and k(cat). The acoustofluidic design involves a bubble anchored in a horseshoe structure which can be stimulated by a piezoelectric transducer to generate vortices in the fluid. The enzyme and substrate can thus be mixed rapidly, within 100 ms, by the vortices to yield the product. Enzymatic reaction constants K(m) and k(cat) can then be obtained from the reaction rate curves for different concentrations of substrate while holding the enzyme concentration constant. We studied the enzymatic reaction for β-galactosidase and its substrate (resorufin-β-D-galactopyranoside) and found K(m) and k(cat) to be 333 ± 130 μM and 64 ± 8 s(-1), respectively, which are in agreement with published data. Our approach is valuable for studying the kinetics of high-speed enzymatic reactions and other chemical reactions.


Analytical Chemistry | 2014

Acoustofluidic chemical waveform generator and switch.

Daniel Ahmed; Hari S. Muddana; Mengqian Lu; Jarrod B. French; Adem Ozcelik; Ye Fang; Peter J. Butler; Stephen J. Benkovic; Andreas Manz; Tony Jun Huang

Eliciting a cellular response to a changing chemical microenvironment is central to many biological processes including gene expression, cell migration, differentiation, apoptosis, and intercellular signaling. The nature and scope of the response is highly dependent upon the spatiotemporal characteristics of the stimulus. To date, studies that investigate this phenomenon have been limited to digital (or step) chemical stimulation with little control over the temporal counterparts. Here, we demonstrate an acoustofluidic (i.e., fusion of acoustics and microfluidics) approach for generating programmable chemical waveforms that permits continuous modulation of the signal characteristics including the amplitude (i.e., sample concentration), shape, frequency, and duty cycle, with frequencies reaching up to 30 Hz. Furthermore, we show fast switching between multiple distinct stimuli, wherein the waveform of each stimulus is independently controlled. Using our device, we characterized the frequency-dependent activation and internalization of the β2-adrenergic receptor (β2-AR), a prototypic G-protein coupled receptor (GPCR), using epinephrine. The acoustofluidic-based programmable chemical waveform generation and switching method presented herein is expected to be a powerful tool for the investigation and characterization of the kinetics and other dynamic properties of many biological and biochemical processes.


Applied Physics Letters | 2012

A single-layer, planar, optofluidic switch powered by acoustically driven, oscillating microbubbles

Po-Hsun Huang; Michael Ian Lapsley; Daniel Ahmed; Yuchao Chen; Lin Wang; Tony Jun Huang

Merging acoustofluidic mixing with optofluidic integration, we have demonstrated a single-layer, planar, optofluidic switch that is driven by acoustically excited oscillating microbubbles. The device was found to have a switching speed of 5 Hz, an insertion loss of 6.02 dB, and an extinction ratio of 28.48 dB. With its simplicity, low fluid consumption, and compatibility with other microfluidic devices, our design could lead to a line of inexpensive, yet effective optical switches for many lab-on-a-chip applications.


Journal of Laboratory Automation | 2014

Acoustofluidic relay: sequential trapping and transporting of microparticles via acoustically excited oscillating bubbles.

Yuliang Xie; Daniel Ahmed; Michael Ian Lapsley; Mengqian Lu; Sixing Li; Tony Jun Huang

We report an on-chip acoustofluidic method for sequential trapping and transporting of microparticles via acoustically oscillating bubbles. The size and location of bubbles were precisely controlled by lithography. When the acoustic waves were turned off, particles followed the streamlines dictated by laminar flow. When the acoustic waves were turned on, particles were attracted to and trapped in a vortex near the surface of bubble. Therefore, particles could move across the microfluidic channel with programmed trajectories. Additionally, a theoretical model based on acoustic radiation force and drag force due to acoustic microstreaming was established to help design this particle-trapping and -transporting system.


Biosensors and Bioelectronics | 2011

Site-specific sonoporation of human melanoma cells at the cellular level using high lateral-resolution ultrasonic micro-transducer arrays.

Myo Thein; An Cheng; Payal Khanna; Chunfeng Zhang; Eun Joo Park; Daniel Ahmed; Christopher J. Goodrich; Fareid Asphahani; Fengbing Wu; Nadine Barrie Smith; Cheng Dong; Xiaoning Jiang; Miqin Zhang; Jian Xu

We developed a new instrumental method by which human melanoma cells (LU1205) are sonoporated via radiation pressures exerted by highly-confined ultrasonic waves produced by high lateral-resolution ultrasonic micro-transducer arrays (UMTAs). The method enables cellular-level site-specific sonoporation within the cell monolayer due to UMTAs and can be applicable in the delivery of drugs and gene products in cellular assays. In this method, cells are seeded on the biochip that employs UMTAs for high spatial resolution and specificity. UMTAs are driven by 30-MHz sinusoidal signals and the resulting radiation pressures induce sonoporation in the targeted cells. The sonoporation degree and the effective lateral resolution of UMTAs are determined by performing fluorescent microscopy and analysis of carboxylic-acid-derivatized CdSe/ZnS quantum dots passively transported into the cells. Models representing the transducer-generated ultrasound radiation pressure, the ultrasound-inflicted cell membrane wound, and the transmembrane transport through the wound are developed to determine the ultrasound-pressure-dependent wound size and enhanced cellular uptake of nanoparticles. Model-based calculations show that the effective wound size and cellular uptake of nanoparticles increase linearly with increasing ultrasound pressure (i.e., at applied radiation pressures of 0.21, 0.29, and 0.40 MPa, the ultrasound-induced initial effective wound radii are 150, 460, and 650 nm, respectively, and the post-sonoporation intracellular quantum-dot concentrations are 7.8, 22.8, and 29.9 nM, respectively) and the threshold pressure required to induce sonoporation in LU1205 cells is ∼0.12 MPa.

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Bala Krishna Juluri

Pennsylvania State University

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Xiaole Mao

Pennsylvania State University

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Jinjie Shi

Pennsylvania State University

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Mengqian Lu

Pennsylvania State University

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Nitesh Nama

Pennsylvania State University

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Yuliang Xie

Pennsylvania State University

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Adem Ozcelik

Pennsylvania State University

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Yuchao Chen

Pennsylvania State University

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Yuebing Zheng

University of Texas at Austin

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