High-Performance Indium-Gallium-Zinc-Oxide Thin-Film Transistor with Al-Induced Crystallization for Ultra-Sensitive Detection of Gastric Cancer Exosome MicroRNA-106a

17 Pages Posted: 17 Dec 2024

See all articles by Tengbo Lv

Tengbo Lv

affiliation not provided to SSRN

Jiale Liu

affiliation not provided to SSRN

Fei Li

affiliation not provided to SSRN

Shenhui Ma

Xidian University

Xianqi Wei

Jiangsu Ocean University

Juan Hu

affiliation not provided to SSRN

Xin Li

Xi'an Jiaotong University (XJTU) - Department of Microelectronics

Chuan Yu Han

Xi'an Jiaotong University (XJTU) - Department of Microelectronics

Shuixiang He

Government of the People's Republic of China - Department of Neurobiology

Xiao Li Wang

affiliation not provided to SSRN

Abstract

Gastric cancer is a prevalent and lethal malignancy, largely due to the absence of specific symptoms in its early stages. The emerging biomarker, exosomal microRNA-106a (miR-106a), is closely associated with the progression of gastric cancer and positively correlates with the cancer cell metastasis. However, current diagnostic methods for microRNA, such as qRT-PCR, are effective but limited by the extremely low abundance, rendering detection without amplification challenging. In this work, we present a label-free detection method for miR-106a using a performance-enhanced IGZO TFT biosensor, specifically an aluminum (Al)-induced crystallization (AIC) IGZO TFT biosensor (Bio-AIC IGZO TFT). The introduction of Al on IGZO film induced crystallization at high temperatures on the top channel, resulting in covalent bonding between the top channel and the Al layer, which significantly enhanced the TFT’s electrical and sensing characteristics. When applied to miR-106a detection, the AlOx/Al/AlOx layer created a floating gate structure that can effectively transmit the weak electrical signals generated by biochemical reactions at the sensing interface to the channel layer of the device via the tunneling effect. This design prevented performance degradation typically caused by direct contact between the channel layer and liquid in conventional TFT biosensors. The prepared Bio-AIC IGZO TFT demonstrated a wide linear detection range between 1 fM and 1 μM, and exhibited high sensitivity of 4.04 dec-1 with a detection limit as low as 0.23 fM (1.65 fg/mL) compared to the conventional Bio-IGZO TFT. Furthermore, the optimized biosensor had excellent reproducibility and selectivity for target RNA, demonstrating the potential for trace detection of biomarkers in early gastric cancer. In addition, the biosensor is scalable for detecting a wide range of biomarkers, providing a simple, high-performance strategy for achieving rapid RNA detection.

Note:
Funding declaration: This work was supported by the National Natural Science Foundation of China (No. 62174130, 82171143 and 81600809), Key Research and Development Plan of Shaanxi Province (No. 2023-YBSF-407 and 2024GX-YBXM-084), Natural Science Basic Research Program of Shaanxi (No. 2024JC-YBQN-0716), National defense foundation of China (No. 2022-JCJQ-JJ-1099), the Strengthening Basic Disciplines Program (No. 2022-JCJQ-JJ-1108), Xi'an Jiaotong University basic Scientific Research (No. xzy012024148). We thank Instrument Analysis Center of Xi’an Jiaotong University for their assistance in data collection and analysis including SEM, XPS, XRD and AFM tests.

Conflict of Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Keywords: biosensor, Thin-film transistor, IGZO, Oxide semiconductor, Gastric cancer, microRNA-106a

Suggested Citation

Lv, Tengbo and Liu, Jiale and Li, Fei and Ma, Shenhui and Wei, Xianqi and Hu, Juan and Li, Xin and Han, Chuan Yu and He, Shuixiang and Wang, Xiao Li, High-Performance Indium-Gallium-Zinc-Oxide Thin-Film Transistor with Al-Induced Crystallization for Ultra-Sensitive Detection of Gastric Cancer Exosome MicroRNA-106a. Available at SSRN: https://ssrn.com/abstract=5045803 or http://dx.doi.org/10.2139/ssrn.5045803

Tengbo Lv (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

Jiale Liu

affiliation not provided to SSRN ( email )

No Address Available

Fei Li

affiliation not provided to SSRN ( email )

No Address Available

Shenhui Ma

Xidian University ( email )

Xi'an Chang'an two hundred ten National Road
Xian
China

Xianqi Wei

Jiangsu Ocean University ( email )

China

Juan Hu

affiliation not provided to SSRN ( email )

No Address Available

Xin Li

Xi'an Jiaotong University (XJTU) - Department of Microelectronics ( email )

Shaanxi
China

Chuan Yu Han

Xi'an Jiaotong University (XJTU) - Department of Microelectronics ( email )

Shaanxi
China

Shuixiang He

Government of the People's Republic of China - Department of Neurobiology ( email )

Xi'an
China

Xiao Li Wang

affiliation not provided to SSRN ( email )

No Address Available

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