Yu Ching Wong

Dr. Yu Ching Wong

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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12 September 2024 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
XLXiao Luo
Xiao Luo
YWYu Ching Wong
Yu Ching Wong
XCXiangyu Chen
Xiangyu Chen
HTHandong TAN
Handong TAN
WWWeijia Wen
Weijia Wen

30 March 2025 in Micromachines
Verified
Journal Article
Open access
PDF file
XXXian Xian
Xian Xian
JZJIE ZHANG
JIE ZHANG
YWYu Ching Wong
Yu Ching Wong
YGYibo Gao
Yibo Gao
QSQi Song
Qi Song
WWWeijia Wen
Weijia Wen
The technology of digital polymerase chain reaction (dPCR) is rapidly evolving, yet current devices often suffer from bulkiness and cumbersome sample-loading procedures. Moreover, challenges such as droplet merging and partition size limitations impede efficiency. In this study, we present a super-hydrophilic microarray chip specifically designed for dPCR, featuring streamlined loading methods compatible with micro-electro-mechanical systems (MEMS) technology. Utilizing hydrodynamic principles, our platform enables the formation of a uniform array of 120-pL independent reaction units within a closed channel. The setup allows for rapid reactions facilitated by an efficient thermal cycler and real-time imaging. We achieved absolute quantitative detection of hepatitis B virus (HBV) plasmids at varying concentrations, alongside multiple targets, including cancer mutation gene fragments and reference genes. This work highlights the chip’s versatility and potential applications in point-of-care testing (POCT) for cancer diagnostics.

9 April 2024 in Nanomaterials
Verified
Journal Article
Open access
PDF file
YWYu Ching Wong
Yu Ching Wong
SYSiyu Yang
Siyu Yang
WWWeijia Wen
Weijia Wen
Dean flow and Dean instability play an important role in inertial microfluidics, with a wide application in mixing and sorting. However, most studies are limited to Dean flow in the microscale. This work first reports the application of Dean instability on organic nanoparticles synthesis at De up to 198. The channel geometry (the tortuous channel) is optimized by simulation, in which the mixing efficiency is considered. With the optimized design, prednisolone nanoparticles are synthesized, and the size of the most abundant prednisolone nanoparticles is down to 100 nm with an increase in the Re and De and smallest size down to 46 nm. This work serves as an ice-breaker to the real application of Dean instability by demonstrating its ability in mixing and nanomaterials like nanoparticle synthesis.