Jiang Zhe

Dr. Jiang Zhe

Department of Mechanical Engineering, University of Akron, Akron, Ohio, USA
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 February 2011 in Lab on a Chip
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Journal Article
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ZWZhuochen Wang
Zhuochen Wang
JZJiang Zhe
Jiang Zhe
Manipulation of microscale particles and fluid liquid droplets is an important task for lab-on-a-chip devices for numerous biological researches and applications, such as cell detection and tissue engineering. Particle manipulation techniques based on surface acoustic waves (SAWs) appear effective for lab-on-a-chip devices because they are non-invasive, compatible with soft lithography micromachining, have high energy density, and work for nearly any type of microscale particles. Here we review the most recent research and development of the past two years in SAW based particle and liquid droplet manipulation for lab-on-a-chip devices including particle focusing and separation, particle alignment and patterning, particle directing, and liquid droplet delivery.

30 June 2007 in Microfluidics and Nanofluidics
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Journal Article
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YWYiou Wang
Yiou Wang
JZJiang Zhe
Jiang Zhe
BCBenjamin T. F. Chung
Benjamin T. F. Chung
PDPrashanta Dutta
Prashanta Dutta

21 May 2010 in Microfluidics and Nanofluidics
Verified
Journal Article
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LDLi Du
Li Du
JZJiang Zhe
Jiang Zhe
JCJoan Carletta
Joan Carletta
RVRobert Veillette
Robert Veillette
FCFred Choy
Fred Choy

16 January 2012 in Sensors
Verified
Journal Article
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Rasim GuldikenRasim Guldiken
Rasim Guldiken
MJMyeong Chan Jo
Myeong Chan Jo
Nathan GallantNathan Gallant
Nathan Gallant
UDUtkan Demirci
Utkan Demirci
JZJiang Zhe
Jiang Zhe
Particle separation is of great interest in many biological and biomedical applications. Flow-based methods have been used to sort particles and cells. However, the main challenge with flow based particle separation systems is the need for a sheath flow for successful operation. Existence of the sheath liquid dilutes the analyte, necessitates precise flow control between sample and sheath flow, requires a complicated design to create sheath flow and separation efficiency depends on the sheath liquid composition. In this paper, we present a microfluidic platform for sheathless particle separation using standing surface acoustic waves. In this platform, particles are first lined up at the center of the channel without introducing any external sheath flow. The particles are then entered into the second stage where particles are driven towards the off-center pressure nodes for size based separation. The larger particles are exposed to more lateral displacement in the channel due to the acoustic force differences. Consequently, different-size particles are separated into multiple collection outlets. The prominent feature of the present microfluidic platform is that the device does not require the use of the sheath flow for positioning and aligning of particles. Instead, the sheathless flow focusing and separation are integrated within a single microfluidic device and accomplished simultaneously. In this paper, we demonstrated two different particle size-resolution separations; (1) 3 µm and 10 µm and (2) 3 µm and 5 µm. Also, the effects of the input power, the flow rate, and particle concentration on the separation efficiency were investigated. These technologies have potential to impact broadly various areas including the essential microfluidic components for lab-on-a-chip system and integrated biological and biomedical applications.

2 June 2017 in Measurement Science and Technology
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Journal Article
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XZXiaoliang Zhu
Xiaoliang Zhu
CZChong Zhong
Chong Zhong
JZJiang Zhe
Jiang Zhe
Detecting wear debris and measuring the increasing number of wear debris in lubrication oil can indicate abnormal machine wear well ahead of machine failure, and thus are indispensable for online machine health monitoring. A portable wear debris sensor with ferrite cores for online monitoring is presented. The sensor detects wear debris by measuring the inductance change of two planar coils wound around a pair of ferrite cores that make the magnetic flux denser and more uniform in the sensing channel, thereby improving the sensitivity of the sensor. Static testing results showed this wear debris sensor is capable of detecting 11 µ m and 50 µ m ferrous debris in 1 mm and 7 mm diameter fluidic pipes, respectively; such a high sensitivity has not been achieved before. Furthermore, a synchronized sampling method was also applied to reduce the data size and realize real-time data processing. Dynamic testing results demonstrated that the sensor is capable of detecting wear debris in real time with a high throughput of 750 ml min −1 ; the measured debris concentration is in good agreement with the actual concentration.

13 April 2023 in Biosensors
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Journal Article
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RXRuiting Xu
Ruiting Xu
LOLeixin Ouyang
Leixin Ouyang
HCHeyi Chen
Heyi Chen
GZGe Zhang
Ge Zhang
JZJiang Zhe
Jiang Zhe
The fast, accurate detection of biomolecules, ranging from nucleic acids and small molecules to proteins and cellular secretions, plays an essential role in various biomedical applications. These include disease diagnostics and prognostics, environmental monitoring, public health, and food safety. Aptamer recognition (DNA or RNA) has gained extensive attention for biomolecular detection due to its high selectivity, affinity, reproducibility, and robustness. Concurrently, biosensing with nanoparticles has been widely used for its high carrier capacity, stability and feasibility of incorporating optical and catalytic activity, and enhanced diffusivity. Biosensors based on aptamers and nanoparticles utilize the combination of their advantages and have become a promising technology for detecting of a wide variety of biomolecules with high sensitivity, reliability, specificity, and detection speed. Via various sensing mechanisms, target biomolecules have been quantified in terms of optical (e.g., colorimetric and fluorometric), magnetic, and electrical signals. In this review, we summarize the recent advances in and compare different aptamer–nanoparticle-based biosensors by nanoparticle types and detection mechanisms. We also share our views on the highlights and challenges of the different nanoparticle-aptamer-based biosensors.