Title

Electrode Geometry-Guided Optimization of Carbon Nanotube Alignment for Reproducible Fabrication of Single-Tube FET Biosensors

Alternative Title

FET 바이오센서용 S/D 전극 구조를 이용한 전단력 기반 탄소나노튜브 정렬 최적화

DGIST Authors

Kim Eunui ; Hyuk-Jun Kwon ; Hongki Kang

Advisor

권혁준

Co-Advisor(s)

Hongki Kang

Issued Date

2025

Awarded Date

2025-08-01

Type

Thesis

Description

Carbon nanotube (CNT), Inkjet Printing, Field Effect Transistor (FET), Biosensor

Table Of Contents

Abstract i
List of Contents ii
List of Tables iii
List of Figures vi

Ⅰ. Introduction 1
1.1 Motivation 1
Ⅱ. Experimental Methods 5
2.1 Fabrication Process 5
2.1.1 Device Structure and Fabrication 5
2.1.2 CNT Ink Formulation 7
2.1.3 Inkjet Printing Process 8
2.2 Characterization 9
2.2.1 SEM Imaging of CNT Bridging Behavior 9
2.2.2 Time-Lapse Imaging of the CNT Ink Fluidic Behavior 9
2.2.3 Electrical Characterization of the CNTFETs 10
2.3 Application of CNTFETs as Biosensors 11
2.3.1 Microfluidic Measurement Setup for Liquid Gating 11
2.3.2 Functionalization of CNTFETs with Molecular Beacons 12
2.3.3 Detection of BRAF V600E DNA 14
2.3.4 Data Analysis of RTN Signals for Biosensing 16
Ⅲ. Results and Discussion 17
3.1 Control of CNT Alignment via S/D Electrode Edge Geometry 17
3.1.1 CNT Alignment Between Conventional and Modified Electrode Patterns 17
3.1.2 Design of Six Electrode Edge Geometries and Their Characteristics 20
3.1.3 Ink Dynamics and Yield Analysis 23
3.2 Electrical Characterization of Fabricated Single-CNTFETs 32
3.2.1 Back-Gated Transfer and Output Characteristics 32
3.2.2 Electrolyte-Gated Transfer and Output Characteristics 35
3.3 Biosensing Performance Using Molecular Beacon Functionalization 38
3.3.1 Device Functionalization 38
3.3.2 Probe Design and Target Selection for Biosensing Demonstration 41
3.3.3 Observation of RTN Signals of Molecular Beacons 44
3.3.4 Observation of RTN Signals of Target BRAF DNA Hybridization 47
Ⅳ. Conclusion 50
4.1 Summary 50
References 52
요약문 54

URI

https://scholar.dgist.ac.kr/handle/20.500.11750/59835
http://dgist.dcollection.net/common/orgView/200000893438

DOI

10.22677/THESIS.200000893438

Degree

Master

Department

Department of Electrical Engineering and Computer Science

Publisher

DGIST

Show Full Item Record