Literature DB >> 33560115

Carbon-Dot-Enhanced Graphene Field-Effect Transistors for Ultrasensitive Detection of Exosomes.

Sami Ramadan1, Richard Lobo2, Yuanzhou Zhang1, Lizhou Xu1, Olena Shaforost1, Deana Kwong Hong Tsang1, Jingyu Feng2, Tianyi Yin1, Mo Qiao2, Anvesh Rajeshirke1, Long R Jiao3, Peter K Petrov1, Iain E Dunlop1, Maria-Magdalena Titirici2, Norbert Klein1.   

Abstract

Graphene field-effect transistors (GFETs) are suitable building blocks for high-performance electrical biosensors, because graphene inherently exhibits a strong response to charged biomolecules on its surface. However, achieving ultralow limit-of-detection (LoD) is limited by sensor response time and screening effect. Herein, we demonstrate that the detection limit of GFET biosensors can be improved significantly by decorating the uncovered graphene sensor area with carbon dots (CDs). The developed CDs-GFET biosensors used for exosome detection exhibited higher sensitivity, faster response, and three orders of magnitude improvements in the LoD compared with nondecorated GFET biosensors. A LoD down to 100 particles/μL was achieved with CDs-GFET sensor for exosome detection with the capability for further improvements. The results were further supported by atomic force microscopy (AFM) and fluorescent microscopy measurements. The high-performance CDs-GFET biosensors will aid the development of an ultrahigh sensitivity biosensing platform based on graphene for rapid and early diagnosis of diseases.

Entities:  

Keywords:  cancer diagnosis; carbon dots; exosomes; field-effect transistor; graphene; limit of detection

Year:  2021        PMID: 33560115     DOI: 10.1021/acsami.0c18293

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  7 in total

Review 1.  Aptamers as Recognition Elements for Electrochemical Detection of Exosomes.

Authors:  Kaili Chang; Peng Sun; Xin Dong; Chunnan Zhu; Xiaojun Liu; Dongyun Zheng; Chao Liu
Journal:  Chem Res Chin Univ       Date:  2022-05-11       Impact factor: 2.726

2.  On-chip integrated graphene aptasensor with portable readout for fast and label-free COVID-19 detection in virus transport medium.

Authors:  Lizhou Xu; Sami Ramadan; Bruno Gil Rosa; Yuanzhou Zhang; Tianyi Yin; Elias Torres; Olena Shaforost; Apostolos Panagiotopoulos; Bing Li; Gwilherm Kerherve; Dong Kuk Kim; Cecilia Mattevi; Long R Jiao; Peter K Petrov; Norbert Klein
Journal:  Sens Diagn       Date:  2022-06-13

3.  Si nanowire Bio-FET for electrical and label-free detection of cancer cell-derived exosomes.

Authors:  Wenjie Zhao; Jiawei Hu; Jinlong Liu; Xin Li; Sheng Sun; Xiaofeng Luan; Yang Zhao; Shuhua Wei; Mingxiao Li; Qingzhu Zhang; Chengjun Huang
Journal:  Microsyst Nanoeng       Date:  2022-05-30       Impact factor: 8.006

4.  Detection of Glial Fibrillary Acidic Protein in Patient Plasma Using On-Chip Graphene Field-Effect Biosensors, in Comparison with ELISA and Single-Molecule Array.

Authors:  Lizhou Xu; Sami Ramadan; Oluwatomi E Akingbade; Yuanzhou Zhang; Sarah Alodan; Neil Graham; Karl A Zimmerman; Elias Torres; Amanda Heslegrave; Peter K Petrov; Henrik Zetterberg; David J Sharp; Norbert Klein; Bing Li
Journal:  ACS Sens       Date:  2021-12-15       Impact factor: 7.711

5.  Ultrasensitive detection of exosomal miRNA with PMO-graphene quantum dots-functionalized field-effect transistor biosensor.

Authors:  Kun Li; Jiyuan Tu; Yulin Zhang; Dan Jin; Tingxian Li; Jiahao Li; Wei Ni; Meng-Meng Xiao; Zhi-Yong Zhang; Guo-Jun Zhang
Journal:  iScience       Date:  2022-06-03

Review 6.  Introduction of Nanomaterials to Biosensors for Exosome Detection: Case Study for Cancer Analysis.

Authors:  Myoungro Lee; Jinmyeong Kim; Moonbong Jang; Chulhwan Park; Jin-Ho Lee; Taek Lee
Journal:  Biosensors (Basel)       Date:  2022-08-17

7.  Surface plasmon resonance biosensor with laser heterodyne feedback for highly-sensitive and rapid detection of COVID-19 spike antigen.

Authors:  Zongren Dai; Xin Xu; Yifan Wang; Mingfang Li; Kaiming Zhou; Lin Zhang; Yidong Tan
Journal:  Biosens Bioelectron       Date:  2022-03-06       Impact factor: 10.618

  7 in total

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