Jiayi Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jiayi Liu has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Derong Xu
The First Affiliated Hospital, Jiangxi Medical College, Nanchang University
1 shared publication - Guowei Wang
The National Engineering Research Center for Bioengineering Drugs and Technologies, Jiangxi Province Key Laboratory of Bioengineering Drugs, Institute of Translational Medicine, Jiangxi Medical College, Nanchang University, Nanchang 330103, China
1 shared publication - Hongwen Wu
The First Affiliated Hospital, Jiangxi Medical College, Nanchang University
1 shared publication - Xi Chen
Jiangxi Institute of Translational Medicine, Jiangxi Medical College, Nanchang 330006, China
1 shared publication - Yu Li
The National Engineering Research Center for Bioengineering Drugs and Technologies, Jiangxi Province Key Laboratory of Bioengineering Drugs, Institute of Translational Medicine, Jiangxi Medical College, Nanchang University, Nanchang 330103, China
1 shared publication - Zhiyou Xiao
National Engineering Research Center for Bioengineering Drugs and the Technologies, Institute of Translational Medicine, Jiangxi Medical College, Nanchang University, Nanchang 330031, China
1 shared publication
Latest Publications
- Open Access
- 10 March 2026
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 27 (6) , 2536
Addressing the Challenges of Solid-State Nanopores: Strategies for Performance Enhancement
Solid-state nanopore sequencing, a key third-generation sequencing technology, offers considerable potential for genomics and diagnostics due to its long read lengths, real-time detection, and amplification-free operation. The technology identifies DNA sequences by measuring characteristic changes in ionic current as single-stranded DNA translocates through a nanoscale pore. However, its practical development faces challenges including limited spatiotemporal resolution, pore clogging from nonspecific adsorption, and significant electrical noise. This review systematically examines strategies developed to address these limitations. We discuss the use of ultrathin two-dimensional materials such as graphene and molybdenum disulfide to improve spatial resolution, and methods to modulate DNA translocation through optimized solution conditions, pore geometry, surface charge engineering, and bio-solid hybrid pore designs. Furthermore, we detail noise suppression strategies targeting key sources like thermal noise, 1/f noise, and dielectric noise. These approaches encompass careful material selection, surface coatings, innovations in chip and amplifier design, and machine learning–based signal processing. The review also outlines surface functionalization techniques that reduce clogging and enhance analytical specificity. While challenges remain, continued convergence of materials science, nanofabrication, and data science is advancing solid-state nanopore technology toward reliable, high-precision sequencing platforms, promising to significantly impact personalized medicine and biological research.
- 10 March 2026
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 27 (6) , 2536
Open AccessAddressing the Challenges of Solid-State Nanopores: Strategies for Performance Enhancement
Solid-state nanopore sequencing, a key third-generation sequencing technology, offers considerable potential for genomics and diagnostics due to its long read lengths, real-time detection, and amplification-free operation. The technology identifies DNA sequences by measuring characteristic changes in ionic current as single-stranded DNA translocates through a nanoscale pore. However, its practical development faces challenges including limited spatiotemporal resolution, pore clogging from nonspecific adsorption, and significant electrical noise. This review systematically examines strategies developed to address these limitations. We discuss the use of ultrathin two-dimensional materials such as graphene and molybdenum disulfide to improve spatial resolution, and methods to modulate DNA translocation through optimized solution conditions, pore geometry, surface charge engineering, and bio-solid hybrid pore designs. Furthermore, we detail noise suppression strategies targeting key sources like thermal noise, 1/f noise, and dielectric noise. These approaches encompass careful material selection, surface coatings, innovations in chip and amplifier design, and machine learning–based signal processing. The review also outlines surface functionalization techniques that reduce clogging and enhance analytical specificity. While challenges remain, continued convergence of materials science, nanofabrication, and data science is advancing solid-state nanopore technology toward reliable, high-precision sequencing platforms, promising to significantly impact personalized medicine and biological research.