Chengpeng Zhang

Dr. Chengpeng Zhang


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

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11 June 2021 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
CZChengpeng Zhang
Chengpeng Zhang
SCShuai Chen
Shuai Chen
ZJZhaoliang Jiang
Zhaoliang Jiang
ZSZhenyu Shi
Zhenyu Shi
JWJilai Wang
Jilai Wang
LDLutao Du
Lutao Du

28 March 2022 in Acta Biomaterialia
Verified
Journal Article
Open access
JLJuan Li
Juan Li
YLYanru Li
Yanru Li
PLPeilong Li
Peilong Li
YZYi Zhang
Yi Zhang
LDLutao Du
Lutao Du
CWChuanxin Wang
Chuanxin Wang
As nanoscale extracellular vesicles, exosomes are secreted by various cell types, and they are widely distributed in multiple biological fluids. Studies have shown that tumor-derived exosomes can carry a variety of primary tumor-specific molecules, which may represent a novel tool for the early detection of cancer. However, the clinical translation of exosomes remains a challenge due to the requirement of large quantities of samples when enriching the cancer-related exosomes in biological fluids, the insufficiency of traditional techniques for exosome subpopulations, and the complex exosome isolation of the current commercially available exosome phenotype profiling approaches. The evolving surface-enhanced Raman scattering (SERS) technology, with properties of unique optoelectronics, easy functionalization, and the particular interaction between light and nanoscale metallic materials, can achieve sensitive detection of exosomes without large quantities of samples and multiplexed phenotype profiling, providing a new mode of real-time and noninvasive analysis for cancer patients. In the present review, we mainly discussed exosome detection based on SERS, especially SERS immunoassay. The basic structure and function of exosomes were firstly introduced. Then, recent studies using the SERS technique for cancer detection were critically reviewed, which mainly included various SERS substrates, biological modification of SERS substrates, SERS-based exosome detection, and the combination of SERS and other technologies for cancer diagnosis. This review systematically discussed the essential aspects, limitations, and considerations of applying SERS technology in the detection and analysis of cancer-derived exosomes, which could provide a valuable reference for the early diagnosis of cancer through SERS technology. STATEMENT OF SIGNIFICANCE: Surface-enhanced Raman scattering (SERS) has been applied to exosomes detection to obtain better diagnostic results. In past three years, several reviews have been published in exosome detection, which were narrowly focus on methods of exosome detection. Selection and surface functionalization of the substrate and the combination detection with different methods based on SERS will provide new strategies for the detection of exosomes. This review will focus on the above aspects. This emerging detection method is constantly evolving and contributing to the early discovery of diseases in the future.

11 May 2022 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
JJJin Ji
Jin Ji
CZChengpeng Zhang
Chengpeng Zhang
SYShaohua Yang
Shaohua Yang
YLYongzhi Liu
Yongzhi Liu
JWJilai Wang
Jilai Wang
ZSZhenyu Shi
Zhenyu Shi

9 December 2024 in Composites Part A: Applied Science and Manufacturing
Verified
Journal Article
Closed access
XZXuanjie Zong
Xuanjie Zong
NZNianqiang Zhang
Nianqiang Zhang
XMXiaopeng Ma
Xiaopeng Ma
JWJilai Wang
Jilai Wang
CZChengpeng Zhang
Chengpeng Zhang

3 March 2022 in Advanced Materials Interfaces
Verified
Journal Article
Closed access
CZChengpeng Zhang
Chengpeng Zhang
SCShuai Chen
Shuai Chen
JWJilai Wang
Jilai Wang
ZSZhenyu Shi
Zhenyu Shi
LDLutao Du
Lutao Du

26 April 2025 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
XMXinghan Mi
Xinghan Mi
CZChengpeng Zhang
Chengpeng Zhang
NZNianqiang Zhang
Nianqiang Zhang
ZWZiran Wang
Ziran Wang
JWJilai Wang
Jilai Wang