Wei Zhang

Dr. Wei Zhang

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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1 March 2022 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
YJYao Jia
Yao Jia
YLYuanyuan Luo
Yuanyuan Luo
ZZZhiqi Zhang
Zhiqi Zhang
JLJinze Li
Jinze Li
CLChuanyu Li
Chuanyu Li
LZLianqun Zhou
Lianqun Zhou

1 June 2017 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
WZWei Zhang
Wei Zhang
PCPeihua Chen
Peihua Chen
LZLianqun Zhou
Lianqun Zhou
ZQZhen Qin
Zhen Qin
KGKeqiang Gao
Keqiang Gao
Ping WangPing Wang
Ping Wang

16 July 2025 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
MWMiaomiao Wang
Miaomiao Wang
YCYating Chen
Yating Chen
BNBeenish Noureen
Beenish Noureen
YMYao Ma
Yao Ma
AZAnran Zheng
Anran Zheng
CWChunsheng Wu
Chunsheng Wu

18 November 2024 in Advanced Science
Verified
Journal Article
Open access
HLHao Li
Hao Li
JLJinze Li
Jinze Li
ZZZhiqi Zhang
Zhiqi Zhang
QYQi Yang
Qi Yang
HDHong Du
Hong Du
LZLianqun Zhou
Lianqun Zhou
Hepatocellular carcinoma (HCC) circulating tumor cells (CTCs) exhibit significant phenotypic heterogeneity and diverse gene expression profiles due to epithelial‐mesenchymal transition (EMT). However, current detection methods lack the capacity for simultaneous quantification of multidimensional biomarkers, impeding a comprehensive understanding of tumor biology and dynamic changes. Here, the CTC Digital Simultaneous Cross‐dimensional Output and Unified Tracking (d‐SCOUT) technology is introduced, which enables simultaneous quantification and detailed interpretation of HCC transcriptional and phenotypic biomarkers. Based on self‐developed multi‐real‐time digital PCR (MRT‐dPCR) and algorithms, d‐SCOUT allows for the unified quantification of Asialoglycoprotein Receptor (ASGPR), Glypican‐3 (GPC‐3), and Epithelial Cell Adhesion Molecule (EpCAM) proteins, as well as Programmed Death Ligand 1 (PD‐L1), GPC‐3, and EpCAM mRNA in HCC CTCs, with good sensitivity (LOD of 3.2 CTCs per mL of blood) and reproducibility (mean %CV = 1.80–6.05%). In a study of 99 clinical samples, molecular signatures derived from HCC CTCs demonstrated strong diagnostic potential (AUC = 0.950, sensitivity = 90.6%, specificity = 87.5%). Importantly, by integrating machine learning, d‐SCOUT allows clustering of CTC characteristics at the mRNA and protein levels, mapping normalized heterogeneous 2D molecular profiles to assess HCC metastatic risk. Dynamic digital tracking of eight HCC patients undergoing different treatments visually illustrated the therapeutic effects, validating this technology's capability to quantify the treatment efficacy. CTC d‐SCOUT enhances understanding of tumor biology and HCC management.

1 February 2021 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
HKHui Kong
Hui Kong
WZWei Zhang
Wei Zhang
JYJia Yao
Jia Yao
CLChao Li
Chao Li
RLRenfei Lu
Renfei Lu
LZLianqun Zhou
Lianqun Zhou

13 September 2018 in Sensors
Verified
Journal Article
Open access
PDF file
YJYao Jia
Yao Jia
BFBin Feng
Bin Feng
ZZZhiqi Zhang
Zhiqi Zhang
CLChuanyu Li
Chuanyu Li
WZWei Zhang
Wei Zhang
LZLianqun Zhou
Lianqun Zhou
Blood coagulation function monitoring is important for people who are receiving anticoagulation treatment and a portable device is needed by these patients for blood coagulation self-testing. In this paper, a novel smartphone based blood coagulation test platform was proposed. It was developed based on parylene-C coated quartz crystal microbalance (QCM) dissipation measuring and analysis. The parylene-C coating constructed a robust and adhesive surface for fibrin capturing. The dissipation factor was obtained by measuring the frequency response of the sensor. All measured data were sent to a smartphone via Bluetooth for dissipation calculation and blood coagulation results computation. Two major coagulation indexes, activated partial thromboplastin time (APTT) and prothrombin time (PT) were measured on this platform compared with results by a commercial hemostasis system in a clinical laboratory. The measurement results showed that the adjusted R-square (R2) value for APTT and PT measurements were 0.985 and 0.961 respectively. The QCM dissipation method for blood coagulation measurement was reliable and effective and the platform together with the QCM dissipation method was a promising solution for point of care blood coagulation testing.