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@article{WOS:001632743500001,
title = {The Graphene Oxide Memristive DNA Sensor for Taxonomic Fingerprint},
author = {Konstantin G Nikolaev and Jia Hui Bong and Siyu Chen and Kostya S Novoselov and Daria V Andreeva},
doi = {10.1002/mame.202500286},
times_cited = {1},
issn = {1438-7492},
year = {2026},
date = {2026-03-01},
journal = {MACROMOLECULAR MATERIALS AND ENGINEERING},
volume = {311},
number = {3},
publisher = {WILEY-V C H VERLAG GMBH},
address = {POSTFACH 101161, 69451 WEINHEIM, GERMANY},
abstract = {The selective, rapid, and sensitive detection of deoxyribonucleic acid
(DNA) nucleobases is critical for applications in genetic diagnostics,
forensic analysis, and molecular biology research. Conventional
detection techniques often require sophisticated instrumentation and
complex sample preparation, which limit their use in point-of-care
settings. Advances in 2D nanomaterials, particularly graphene oxide
(GO), have enabled the development of highly sensitive DNA sensors;
however, challenges in achieving selectivity, simplicity, and speed
remain. In this work, we present a simple and cost-effective
transistor-based memristive DNA sensor that exploits the specific
interactions between GO and double-stranded DNA. The platform enables
direct, label-free quantification of DNA sequences across a
guanine-cytosine (GC) content range of 37%-55%, with strong linear calibration (coefficient of determination},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{WOS:001530117400001,
title = {Graphene-Based Oscillators for Biomimetic Neuro-Interfaces},
author = {Konstantin G Nikolaev and Sergey Grebenchuk and Zhao Jinpei and Kou Yang and Yixin Zhang and Ong Mei Shan and Vitaly Sorokin and Siyu Chen and Qian Wang and Jia Hui Bong and Kostya S Novoselov and Daria V Andreeva},
doi = {10.1002/aelm.202500219},
times_cited = {2},
issn = {2199-160X},
year = {2025},
date = {2025-09-01},
journal = {ADVANCED ELECTRONIC MATERIALS},
volume = {11},
number = {15},
publisher = {WILEY-V C H VERLAG GMBH},
address = {POSTFACH 101161, 69451 WEINHEIM, GERMANY},
abstract = {Chemical oscillators-such as the Belousov-Zhabotinsky reaction-have long
served as model systems for studying non-equilibrium chemical dynamics
and as analogues of biological oscillations. However, many biological
processes rely on out-of-equilibrium, often oscillatory, ionic fluxes
that do not involve chemical reactions. Examples include action
potentials in neurons, muscle contraction, cardiac rhythmicity,
intracellular calcium signaling, and calcium wave oscillations. Despite
these parallels, the development of biomimetic systems compatible with
neuromorphic interfaces remains a significant challenge. Here, a
strategy is demonstrated to organize oscillating ionic currents by
developing ionic transistors composed of graphene oxide and
polyelectrolyte, and assembling them into all-ionic integrated circuits.
By driving these systems out of equilibrium using external voltages,
periodic motion of various ions across defined interfaces is achieved.
This behavior, governed by local electric fields arising from unbalanced
ionic concentrations, closely mimics biological excitability, such as
that observed in neuronal and cardiac systems. These ionic transistors
serve as a foundational building block for neuromorphic interfaces,
offering a universal platform to emulate complex biological ionic
processes with high fidelity.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{WOS:001352746700010,
title = {Graphene/chitosan nanoreactors for ultrafast and precise recovery and
catalytic conversion of gold from electronic waste},
author = {Kou Yang and Konstantin G Nikolaev and Xiaolai Li and Artemii Ivanov and Jia Hui Bong and Ivan Erofeev and Utkur M Mirsaidov and Vasyl G Kravets and Alexander N Grigorenko and Shanqing Zhang and Xueqing Qiu and Kostya S Novoselov and Daria V. Andreeva},
doi = {10.1073/pnas.2414449121},
times_cited = {20},
issn = {0027-8424},
year = {2024},
date = {2024-10-01},
journal = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA},
volume = {121},
number = {42},
publisher = {NATL ACAD SCIENCES},
address = {2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA},
abstract = {The extraction of gold (Au) from electronic waste (e- waste) has both
environmental impact and inherent value. Improper e- waste disposal
poses environmental and health risks, entailing substantial remediation
and healthcare costs. Large efforts are applied for the recovery of Au
from e- waste using complex processes which include the dissolution of
Au, its adsorption in an ionic state and succeeding reduction to
metallic Au. These processes themselves being complex and utilizing
harsh chemicals contribute to the environmental impact of e- waste.
Here, we present an approach for the simultaneous recovery and reduction
of Au3+ and Au+ ions from e- waste to produce solid Au0 forms, thus
skipping several technological steps. We develop a nanoscale cross-
dimensional composite material via self- assembly of two- dimensional
graphene oxide and one- dimensional chitosan macromolecules, capable of
acting simultaneously as a scavenger of gold ions and as a reducing
agent. Such multidimensional architecture doesn't require to apply any
voltage for Au adsorption and reduction and solely relies on the
chemisorption kinetics of Au ions in the heterogeneous GO/CS
nanoconfinements and their chemical reduction on multiple binding sites.
The cooperative phenomena in ionic absorption are responsible for the
extremely high efficiency of gold extraction. The extraction capacity
reaches 16.8 g/g for Au3+ and 6.2 g/g for Au+, which is ten times larger
than any existing gold adsorbents can propose. The efficiency is above
99.5 wt.% (current limit is 75 wt.%) and extraction ability is down to
very low concentrations of 3 ppm.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{WOS:001191219100001,
title = {Graphene oxide-DNA/graphene oxide-PDDA sandwiched membranes with
neuromorphic function},
author = {Jia Hui Bong and Sergey Grebenchuk and Konstantin G Nikolaev and Celestine P T Chee and Kou Yang and Siyu Chen and Denis Baranov and Colin R Woods and Daria V Andreeva and Kostya S Novoselov},
doi = {10.1039/d3nh00570d},
times_cited = {12},
issn = {2055-6756},
year = {2024},
date = {2024-04-01},
journal = {NANOSCALE HORIZONS},
volume = {9},
number = {5},
pages = {863-872},
publisher = {ROYAL SOC CHEMISTRY},
address = {THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS,
ENGLAND},
abstract = {The behavior of polyelectrolytes in confined spaces has direct relevance
to the protein mediated ion transport in living organisms. In this
paper, we govern lithium chloride transport by the interface provided by
polyelectrolytes, polycation, poly(diallyldimethylammonium chloride)
(PDDA) and, polyanion, double stranded deoxyribonucleic acid (dsDNA), in
confined graphene oxide (GO) membranes. Polyelectrolyte-GO interfaces
demonstrate neuromorphic functions that were successfully applied with
nanochannel ion interactions contributed, resulting in ion memory
effects. Excitatory and inhibitory post-synaptic currents were tuned
continuously as the number of pulses applied increased accordingly,
increasing decay times. Furthermore, we demonstrated the short-term
memory of a trained vs untrained device in computation. On account of
its simple and safe production along with its robustness and stability,
we anticipate our device to be a low dimensional building block for
arrays to embed artificial neural networks in hardware for neuromorphic
computing. Additionally, incorporating such devices with sensing and
actuating parts for a complete feedback loop produces robotics with its
own ability to learn by modifying actuation based on sensing data.
The device based on polyelectrolyte-graphene oxide membranes
demonstrates neuromorphic functions successfully applied with
nanochannel ion interactions, resulting in a short-term memory effect.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}