Zhen Zhao

Dr. Zhen Zhao


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

View All Publications
27 February 2020 in bioRxiv
Verified
Preprint
Open access
PDF file
ZZZhen Zhao
Zhen Zhao
HCHaodong Cui
Haodong Cui
WSWenxing Song
Wenxing Song
XRXiaoling Ru
Xiaoling Ru
WZWenhua Zhou
Wenhua Zhou
Xue-Feng YuXue-Feng Yu
Xue-Feng Yu
1 The ongoing outbreak of the novel coronavirus disease 2019 (COVID-19) originating from Wuhan, China, draws worldwide concerns due to its long incubation period and strong infectivity. Although RT-PCR-based molecular diagnosis techniques are being widely applied for clinical diagnosis currently, timely and accurate diagnosis are still limited due to labour intensive and time-consuming operations of these techniques. To address the issue, herein we report the synthesis of poly (amino ester) with carboxyl groups (PC)-coated magnetic nanoparticles (pcMNPs), and the development of pcMNPs-based viral RNA extraction method for the sensitive detection of COVID-19 causing virus, the SARS-CoV-2. This method combines the lysis and binding steps into one step, and the pcMNPs-RNA complexes can be directly introduced into subsequent RT-PCR reactions. The simplified process can purify viral RNA from multiple samples within 20 min using a simple manual method or an automated high-throughput approach. By identifying two different regions ( ORFlab and N gene) of viral RNA, a 10-copy sensitivity and a strong linear correlation between 10 and 10 5 copies of SARS-CoV-2 pseudovirus particles are achieved. Benefitting from the simplicity and excellent performances, this new extraction method can dramatically reduce the turn-around time and operational requirements in current molecular diagnosis of COVID-19, in particular for the early clinical diagnosis.

19 August 2023 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
CCChenchen Chu
Chenchen Chu
MJMingyang Jiang
Mingyang Jiang
YHYUN HUI
YUN HUI
YHYueying Huang
Yueying Huang
WKWeijun Kong
Weijun Kong
LJLing Ji
Ling Ji

23 March 2023 in Talanta
Verified
Journal Article
Closed access
HCHaodong Cui
Haodong Cui
WSWenxing Song
Wenxing Song
XRXiaoling Ru
Xiaoling Ru
WFWen Fu
Wen Fu
LJLing Ji
Ling Ji
GJGuibin Jiang
Guibin Jiang

5 April 2025 in Talanta
Verified
Journal Article
Closed access
MJMingyang Jiang
Mingyang Jiang
CCChenchen Chu
Chenchen Chu
JWJitao Wei
Jitao Wei
YZYubei Zhang
Yubei Zhang
QZQiongdi Zhang
Qiongdi Zhang
WZWenhua Zhou
Wenhua Zhou

23 July 2024 in Advanced Science
Verified
Journal Article
Open access
QZQiongdi Zhang
Qiongdi Zhang
YHYuxuan Hao
Yuxuan Hao
TZTonghua Zeng
Tonghua Zeng
WSWeiliang Shu
Weiliang Shu
PXPan Xue
Pan Xue
WZWenhua Zhou
Wenhua Zhou
Graphene field‐effect transistors (GFETs) are widely used in biosensing due to their excellent properties in biomolecular signal amplification, exhibiting great potential for high‐sensitivity and point‐of‐care testing in clinical diagnosis. However, difficulties in complicated fabrication steps are the main limitations for the further studies and applications of GFETs. In this study, a modular fabrication technique is introduced to construct microfluidic GFET biosensors within 3 independent steps. The low‐melting metal electrodes and intricate flow channels are incorporated to maintain the structural integrity of graphene and facilitate subsequent sensing operations. The as‐fabricated GFET biosensor demonstrates excellent long‐term stability, and performs effectively in various ion environments. It also exhibits high sensitivity and selectivity for detecting single‐stranded nucleic acids at a 10 fm concentration. Furthermore, when combined with the CRISPR/Cas12a system, it facilitates amplification‐free and rapid detection of nucleic acids at a concentration of 1 fm. Thus, it is believed that this modular‐fabricated microfluidic GFET may shed light on further development of FET‐based biosensors in various applications.

26 February 2025 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
FSFengshan Shen
Fengshan Shen
JWJitao Wei
Jitao Wei
YHYun Hui
Yun Hui
LOLiwei Ouyang
Liwei Ouyang
HFHongtao Feng
Hongtao Feng
WZWenhua Zhou
Wenhua Zhou