Zhengda Lu
Cornell University
10 Papers
6 Citations
Zhengda Lu is an academic researcher from Cornell University. The author has contributed to research in topics: Usability engineering & Filtration. The author has an hindex of 5, co-authored 10 publications.
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Papers
Solar thermal polymerase chain reaction for smartphone-assisted molecular
Matthew Mancuso,Zhengda Lu,Gunkut Akar,Ethel Cesarman,David Erickson +4 more
- 01 Jan 2014
TL;DR: In this article, the authors integrate solar heating with microfluidics to eliminate thermal cycling power requirements as well as create a simple device infrastructure for polymerase chain reaction (PCR) in settings with limited infrastructure and unreliable electricity.
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High-yield paper-based quantitative blood separation system
TL;DR: High yield passive rrythrocyte removal (HYPER) technology, which utilizes capillary forces in a unique cross-flow filtration for the separation of whole blood with performance comparable to centrifuges, is demonstrated.
Rapid Diagnostic Platform for Colorimetric Differential Detection of Dengue and Chikungunya Viral Infections.
Ruisheng Wang,Serge Y. Ongagna-Yhombi,Zhengda Lu,Elizabeth Centeno-Tablante,Susannah Colt,Xiangkun Cao,Yue Ren,Washington B. Cárdenas,Saurabh Mehta,David Erickson +9 more
TL;DR: A rapid diagnostic platform with potential to transform clinical diagnosis of acute febrile illnesses in resource-limited settings by enabling informed treatment decisions through accessible evidence-based diagnosis and a step toward multiplexed diagnostics.
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A lateral flow-based portable platform for determination of reproductive status of cattle.
TL;DR: The developed and validate a tool integrating a disposable fluorescence-based lateral flow immunoassay (LFIA) coupled with a portable imaging device for estimating circulating plasma concentrations of progesterone (P4) suggest that the developed portable LFIA system can accurately differentiate plasma samples with ≥1 or <1 ng/mL of P4.
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Solar-thermal complex sample processing for nucleic acid based diagnostics in limited resource settings.
Abdurrahman Gumus,Syed Saad Ahsan,Belgin Dogan,Li Jiang,Ryan Snodgrass,Andrea Gardner,Zhengda Lu,Kenneth W. Simpson,David Erickson +8 more
TL;DR: This work demonstrate how the technique, using similar infrastructure, can be used to perform solar-thermal based sample processing system for extracting and isolating Vibrio Cholerae nucleic acids from fecal samples and demonstrate very low power sample-in-answer-out detection.
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