Li Yang

Li Yang


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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22 August 2022 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
QYQiannan You
Qiannan You
LZLinlin Zhuang
Linlin Zhuang
ZCZhimin Chang
Zhimin Chang
MGMingfeng Ge
Mingfeng Ge
QMQian Mei
Qian Mei
WDWen-Fei Dong
Wen-Fei Dong

23 May 2023 in Journal of Pharmaceutical and Biomedical Analysis
Verified
Journal Article
Closed access
XSXue Su
Xue Su
QYQiannan You
Qiannan You
LZLinlin Zhuang
Linlin Zhuang
ZCZhimin Chang
Zhimin Chang
MGMingfeng Ge
Mingfeng Ge
WDWen-Fei Dong
Wen-Fei Dong

27 March 2023 in Sensors
Verified
Journal Article
Open access
PDF file
LZLinlin Zhuang
Linlin Zhuang
Qiannan YouQiannan You
Qiannan You
XSXue Su
Xue Su
ZCZhimin Chang
Zhimin Chang
MGMingfeng Ge
Mingfeng Ge
Li LiLi Li
Li Li
Exosomes derived from cancer cells have been recognized as a promising biomarker for minimally invasive liquid biopsy. Herein, a novel sandwich-type biosensor was fabricated for highly sensitive detection of exosomes. Amino-functionalized Fe3O4 nanoparticles were synthesized as a sensing interface with a large surface area and rapid enrichment capacity, while two-dimensional MXene nanosheets were used as signal amplifiers with excellent electrical properties. Specifically, CD63 aptamer attached Fe3O4 nanoprobes capture the target exosomes. MXene nanosheets modified with epithelial cell adhesion molecule (EpCAM) aptamer were tethered on the electrode surface to enhance the quantification of exosomes captured with the detection of remaining protein sites. With such a design, the proposed biosensor showed a wide linear range from 102 particles μL−1 to 107 particles μL−1 for sensing 4T1 exosomes, with a low detection limit of 43 particles μL−1. In addition, this sensing platform can determine four different tumor cell types (4T1, Hela, HepG2, and A549) using surface proteins corresponding to aptamers 1 and 2 (CD63 and EpCAM) and showcases good specificity in serum samples. These preliminary results demonstrate the feasibility of establishing a sensitive, accurate, and inexpensive electrochemical sensor for detecting exosome concentrations and species. Moreover, they provide a significant reference for exosome applications in clinical settings, such as liquid biopsy and early cancer diagnosis.

23 May 2024 in Journal of Materials Chemistry C
Verified
Journal Article
Closed access
PDF file
XSXue Su
Xue Su
Qiannan YouQiannan You
Qiannan You
PWPanyong Wang
Panyong Wang
Li LiLi Li
Li Li
MGMingfeng Ge
Mingfeng Ge
ZCZhimin Chang
Zhimin Chang
Exosomes have attracted increasing attention in the early diagnosis of tumors due to their participation in physiological and pathological processes. Herein, a novel label-free aptasensor based on the CuNi bimetallic metal–organic frameworks (MOFs) that was decorated with MXene quantum dots (MQDs) was fabricated for exosome sensing. The CuNi-MOFs functionalized with dual specific aptamers, CD63 and MUC1, served as an ideal nanocarrier and catalyst for efficient recognition and capture of target exosomes. Meanwhile, the MQDs with excellent electron transfer can promote the electrochemical catalytic performance of this designed aptasensor. It is noteworthy that the large specific surface area of 2D bimetallic CuNi-MOF nanosheets can offer plenty of exposed active sites and facilitate the connection of aptamers, thereby achieving the goal of specific capture and detection of exosomes. The as-prepared electrochemical aptasensor possesses a wide linear range of 1 × 101 to 1 × 106 particles μL−1 for exosome detection and a low detection limit of 5 particles μL−1 (S/N = 3). Besides, the as-prepared aptasensor exhibited satisfactory electrochemical stability for the detection of exosomes, which can provide new ideas for clinical detection and tumor diagnosis.

28 August 2018 in Journal of Separation Science
Verified
Journal Article
Closed access
PDF file
MXMeng‐Wei Xiao
Meng‐Wei Xiao
XBXiao‐Lin Bai
Xiao‐Lin Bai
YLYi‐Ming Liu
Yi‐Ming Liu
LYLi Yang
Li Yang
YHYa‐Dong Hu
Ya‐Dong Hu
Xun LiaoXun Liao
Xun Liao