Imperial College London
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Mr Daniel S. K. Liu

Faculty of Medicine, Department of Surgery & Cancer

Honorary Clinical Research Fellow
 
 
 
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Contact

 

daniel.liu08

 
 
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Location

 

Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Yin:2023:10.1021/acsnano.3c01812,
author = {Yin, T and Xu, L and Gil, B and Merali, N and Sokolikova, MSS and Gaboriau, DCA and Liu, DSK and Muhammad, Mustafa AN and Alodan, S and Chen, M and Txoperena, O and Arrastua, M and Gomez, JM and Ontoso, N and Elicegui, M and Torres, E and Li, D and Mattevi, C and Frampton, AEE and Jiao, LRR and Ramadan, S and Klein, N},
doi = {10.1021/acsnano.3c01812},
journal = {ACS Nano},
pages = {14619--14631},
title = {Graphene sensor arrays for rapid and accurate detection of pancreatic cancer exosomes in patients' blood plasma samples},
url = {http://dx.doi.org/10.1021/acsnano.3c01812},
volume = {17},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Biosensors based on graphene field effect transistors (GFETs) have the potential to enable the development of point-of-care diagnostic tools for early stage disease detection. However, issues with reproducibility and manufacturing yields of graphene sensors, but also with Debye screening and unwanted detection of nonspecific species, have prevented the wider clinical use of graphene technology. Here, we demonstrate that our wafer-scalable GFETs array platform enables meaningful clinical results. As a case study of high clinical relevance, we demonstrate an accurate and robust portable GFET array biosensor platform for the detection of pancreatic ductal adenocarcinoma (PDAC) in patients’ plasma through specific exosomes (GPC-1 expression) within 45 min. In order to facilitate reproducible detection in blood plasma, we optimized the analytical performance of GFET biosensors via the application of an internal control channel and the development of an optimized test protocol. Based on samples from 18 PDAC patients and 8 healthy controls, the GFET biosensor arrays could accurately discriminate between the two groups while being able to detect early cancer stages including stages 1 and 2. Furthermore, we confirmed the higher expression of GPC-1 and found that the concentration in PDAC plasma was on average more than 1 order of magnitude higher than in healthy samples. We found that these characteristics of GPC-1 cancerous exosomes are responsible for an increase in the number of target exosomes on the surface of graphene, leading to an improved signal response of the GFET biosensors. This GFET biosensor platform holds great promise for the development of an accurate tool for the rapid diagnosis of pancreatic cancer.
AU  - Yin,T
AU  - Xu,L
AU  - Gil,B
AU  - Merali,N
AU  - Sokolikova,MSS
AU  - Gaboriau,DCA
AU  - Liu,DSK
AU  - Muhammad,Mustafa AN
AU  - Alodan,S
AU  - Chen,M
AU  - Txoperena,O
AU  - Arrastua,M
AU  - Gomez,JM
AU  - Ontoso,N
AU  - Elicegui,M
AU  - Torres,E
AU  - Li,D
AU  - Mattevi,C
AU  - Frampton,AEE
AU  - Jiao,LRR
AU  - Ramadan,S
AU  - Klein,N
DO  - 10.1021/acsnano.3c01812
EP  - 14631
PY  - 2023///
SN  - 1936-0851
SP  - 14619
TI  - Graphene sensor arrays for rapid and accurate detection of pancreatic cancer exosomes in patients' blood plasma samples
T2  - ACS Nano
UR  - http://dx.doi.org/10.1021/acsnano.3c01812
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001033070700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - https://pubs.acs.org/doi/10.1021/acsnano.3c01812
UR  - http://hdl.handle.net/10044/1/107660
VL  - 17
ER  -
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