Advances in single-molecule junctions as tools for chemical and biochemical analysis

EM Dief, PJ Low, I Díez-Pérez, N Darwish - Nature Chemistry, 2023 - nature.com
The development of miniaturized electronics has led to the design and construction of
powerful experimental platforms capable of measuring electronic properties to the level of …

Solid-state nanopore platform integrated with machine learning for digital diagnosis of virus infection

A Arima, M Tsutsui, T Washio, Y Baba… - Analytical …, 2020 - ACS Publications
The history of viruses in human society can never be taught without the history of detection
and treatment. As an ancient example, Egyptian mummies have been found to have scars …

Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection

M Taniguchi, S Minami, C Ono, R Hamajima… - Nature …, 2021 - nature.com
High-throughput, high-accuracy detection of emerging viruses allows for the control of
disease outbreaks. Currently, reverse transcription-polymerase chain reaction (RT-PCR) is …

A guide to signal processing algorithms for nanopore sensors

C Wen, D Dematties, SL Zhang - ACS sensors, 2021 - ACS Publications
Nanopore technology holds great promise for a wide range of applications such as
biomedical sensing, chemical detection, desalination, and energy conversion. For sensing …

Sensing the performance of artificially intelligent nanopores developed by integrating solid-state nanopores with machine learning methods

M Taniguchi, H Takei, K Tomiyasu… - The Journal of …, 2022 - ACS Publications
Solid-state nanopores with a through-hole diameter of less than a few hundred nanometers
can detect single nanoparticles owing to the ionic current flowing through the nanopore …

Machine learning empowered next generation DNA sequencing: perspective and prospectus

S Mittal, MK Jena, B Pathak - Chemical Science, 2024 - pubs.rsc.org
The pursuit of ultra-rapid, cost-effective, and accurate DNA sequencing is a highly sought
after aspect of personalized medicine development. With recent advancements, mainstream …

Artificially intelligent nanogap for rapid DNA sequencing: A machine learning aided quantum tunneling approach

MK Jena, D Roy, S Mittal, B Pathak - ACS Materials Letters, 2023 - ACS Publications
Electrical identification of single DNA nucleotides with solid-state nanopore/nanogap and
quantum transport technology offers a new paradigm in the field of DNA sequencing and …

Machine learning aided interpretable approach for single nucleotide-based DNA sequencing using a model nanopore

MK Jena, D Roy, B Pathak - The Journal of Physical Chemistry …, 2022 - ACS Publications
Solid-state nanopore-based electrical detection of DNA nucleotides with the quantum
tunneling technique has emerged as a powerful strategy to be the next-generation …

Machine learning and analytical methods for single-molecule conductance measurements

Y Komoto, J Ryu, M Taniguchi - Chemical Communications, 2023 - pubs.rsc.org
Single-molecule measurements of single-molecule conductance between metal nanogap
electrodes have been actively investigated for molecular electronics, biomolecular analysis …

Single-molecule bioelectronic sensors with AI-aided data analysis: convergence and challenges

Y Yang, Y Li, L Tang, J Li - Precision Chemistry, 2024 - ACS Publications
Single-molecule bioelectronic sensing, a groundbreaking domain in biological research,
has revolutionized our understanding of molecules by revealing deep insights into …