Article
Chemistry, Multidisciplinary
Juanjuan Guo, Yang Xu, Caili Fu, Longhua Guo
Summary: Surface-enhanced Raman spectroscopy (SERS) is a promising analytical technique with sensitivity at the single-molecule level, but faces challenges in preparing large-scale, reproducible, and highly sensitive substrates. In this study, a new strategy using CTAB as a connection agent successfully fabricates an efficient Ag collide SERS substrate, demonstrating significant improvement in detection efficiency and reproducibility for applications on a large scale.
Article
Chemistry, Analytical
Junfu Wang, Qing Lin, Dandan Wang, Haochen Yu, Weitao He, Wei Jiang, Chunbo Liu, Enwei Zhu, Hongji Li
Summary: A novel SERS membrane was synthesized by combining metal lattice and surface enhanced Raman scattering (SERS) technology. The prepared membrane exhibited adjustable cavity structure, strong plasmon coupling, tunable magnetic plasmon resonance, and prominent SERS performances. It showed sensitive SERS activity, good mechanical strength, and reusability, expanding the application field of SERS detection.
Review
Biochemistry & Molecular Biology
Yinghao Li, Qingwei Liao, Wei Hou, Lei Qin
Summary: The control of surface plasmon using metal micro-nano structures and metal/material composites can generate novel phenomena such as optical nonlinear enhancement, transmission enhancement, orientation effect, high sensitivity to refractive index, negative refraction, and dynamic regulation of low threshold. These phenomena have significant potential in fields such as nano-photonics, super-resolution imaging, energy, sensor detection, and life science. Silver nanoparticles, with their high sensitivity to refractive index change, convenient synthesis, and controllable shape and size, are commonly used in surface plasmon sensors. This review summarizes the basic concept, fabrication, and applications of silver-based surface plasmon sensors.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Spectroscopy
Surabhi Kamal, Anuradha Chowdhury, Thomas Chung-Kuang Yang
Summary: This paper reports the synthesis of a silver-enriched MOF-derived CuFe2O4 composite and its application in the detection of organic contaminants. The synthesized composite exhibited high sensitivity and good recyclability, reproducibility, and chemical stability. It also showed good sensitivity when tested in tap and river water.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Chemistry, Multidisciplinary
Cristina Gellini, Marina Macchiagodena, Marco Pagliai
Summary: The adsorption geometry of alizarin on silver nanoparticles was studied using density functional theory calculations, considering different charged species present in solution at different pH values. The results accurately reproduced the measured SERS spectra and elucidated the adsorption geometry of the dye on the silver substrate.
Article
Chemistry, Analytical
Alexey Skvortsov, Ekaterina Babich, Alexey Redkov, Andrey Lipovskii, Valentina Zhurikhina
Summary: The study revealed the good stability of silver nanoisland films in various biocompatible buffers, with the best performance in PBS, making them promising for biosensor applications. Additionally, it was observed for the first time that silver nanoparticles formed in the solution dissolved after exposure to PBS, while nanoislands on the glass surface remained unchanged.
Article
Chemistry, Multidisciplinary
Chi Zhang, Soumik Siddhanta, Debadrita Paria, Yaozheng Li, Chao Zheng, Ishan Barman
Summary: A novel nano-PROD platform has been developed for molecular recording by probing vibrational modes of membrane constituents, sustaining live cells in near-physiological conditions and enabling surface-enhanced Raman spectroscopy analysis of specific cell surface markers. This platform shows promise for a range of applications due to its tunability and unique combination of nanoscale topographic features and molecular sensing capabilities.
Article
Multidisciplinary Sciences
Takao Fukuoka, Yasushige Mori, Toshiya Yasunaga, Kyoko Namura, Motofumi Suzuki, Akinobu Yamaguchi
Summary: This study describes a physically unclonable functions taggant based on surface-enhanced Raman scattering of discrete self-assemblies of Au nanoparticles in an aqueous-soluble ink. With this stealth nanobeacon printing, a fingerprint-type Raman spectroscopy signal can be detected and identified even on a business card with a pigment mask. This overcomes the reverse engineering problem of similar anti-counterfeiting techniques and has significant implications for steganography and anti-counterfeiting.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Applied
Nisar Hussain, Hongbin Pu, Da-Wen Sun
Summary: The developed method using MCO-modified Au@AgNPs nanocomposites showed high sensitivity and significant enhancement of Raman scattering for detecting fungicide residues in pear fruit extracts. It can be employed as a SERS active platform for rapid assessment of trace contaminants of agrochemicals in agriculture production.
Article
Chemistry, Physical
Poonam Bhadoria, Arti Saroj, Venkatnarayan Ramanathan
Summary: This study investigated the surface enhanced Raman spectroscopy (SERS) of p-aminothiophenol (PATP) on beta-Bi2O3/Bi2O2CO3 nanoparticles. It was found that no transformation of PATP to p,p'-dimercaptoazobenzene (DMAB) occurred on beta-Bi2O3/Bi2O2CO3 nanoparticles, unlike on noble metal surfaces. Density functional theory (DFT) calculations supported the experimental results and revealed the charge transfer direction from PATP to beta-Bi2O3/Bi2O2CO3 nanoparticles.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2023)
Article
Optics
Baili Chen, Wei Zhou, Mingshi Zhao, Pengchao Si
Summary: Experimental and theoretical studies have shown that the diameter of silver nanowires has a certain influence on SERS activity, which increases within a certain range with the diameter, reaching a maximum EF value of 5.0 x 10(9).
Article
Chemistry, Multidisciplinary
Chiara Amicucci, Cristiano D'Andrea, Marella de Angelis, Martina Banchelli, Roberto Pini, Paolo Matteini
Summary: This paper introduces a graphene paper-supported plasmonic substrate for biodetection, which provides stable SERS signals at sub-millimolar concentration and a detection limit down to the nanogram level in the case of hemoglobin. The presence of a graphene underlayer ensures an even surface distribution of SERS hotspots and improved stability of the SERS signal.
Article
Chemistry, Physical
Haya Alsubaie, Zoya Zaheer, Elham Shafik Aazam
Summary: In this study, Silver nanoparticles (AgNPs) were prepared using SDS and CTAB stabilizers for the reduction of silver nitrate with proanthocyanidines. The SPR intensity of AgNPs increased with SDS and remained constant at higher concentrations, while CTAB had no effect on the nucleation of AgNPs. The position of SPR band was influenced by the concentration of Pas, and the capping action of SDS was discussed using various spectroscopic and microscopic techniques.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Chemistry, Analytical
Fengli Gao, Weiqian Kong, Guangli He, Yanzhen Guo, Huili Liu, Shouren Zhang, Baocheng Yang
Summary: By utilizing vertically aligned Ag/WO3-x nanoflakes as SERS substrate, high sensitivity detection and significant enhancement effect can be achieved.
MICROCHEMICAL JOURNAL
(2021)
Article
Chemistry, Analytical
Andra-Sorina Tatar, Sanda Boca, Alexandra Falamas, Denisa Cuibus, Cosmin Farcau
Summary: In this study, high-density gold nanostar films were fabricated through self-assembly on polystyrene plates, and their use as solid plasmonic substrates for surface-enhanced optical spectroscopies was explored. The films demonstrated dual-mode surface-enhanced fluorescence and surface-enhanced Raman scattering effects under visible and NIR laser excitation. The experimental results were supported by theoretical modelling, and the potential application of these substrates in the detection of biologically relevant molecules was demonstrated.
Review
Chemistry, Analytical
Maria Kaloumenou, Evangelos Skotadis, Nefeli Lagopati, Efstathios Efstathopoulos, Dimitris Tsoukalas
Summary: Early-stage disease diagnosis is vital for effective treatment. Non-invasive diagnostic tools, such as breath analysis, have gained significant research interest. This review provides an overview of sensor categories and highlights the role of nanomaterials in detecting exhaled gas-analytes. Furthermore, it discusses the applicability of breath analysis in differential diagnosis, phenotyping, and disease staging.
Article
Engineering, Electrical & Electronic
P. Bousoulas, C. Tsioustas, J. Hadfield, V Aslanidis, S. Limberopoulos, D. Tsoukalas
Summary: A 2-D dynamical model is proposed to explain the memristive properties in a bilayer structure and investigate the influence of a dense layer of Pt nanoparticles on thermal distribution. By simulating probabilistic leaky-integrate-and-fire neuron properties, Bayesian extrapolation is achieved in a spiking neural network. The classification application using a liver tumor dataset highlights the advantages of stochastic-based spike neural networks in terms of accuracy and power consumption compared to conventional artificial neural networks and deterministic-based spike neural networks.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2022)
Article
Engineering, Electrical & Electronic
P. Bousoulas, C. Tsioustas, J. Hadfield, V Aslanidis, S. Limberopoulos, D. Tsoukalas
Summary: This paper presents a novel threshold switching memristor using SiO2-based CBRAM and Pt nanoparticles as a bottom electrode, which enables robust stochastic neuron activity. The probabilistic leaky-integrate-and-fire neuron properties and tunable integrate-and-fire properties were achieved using a simple PC circuit and stand-alone threshold switching elements, respectively.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2022)
Review
Computer Science, Information Systems
Theodoros Panagiotis Chatzinikolaou, Iosif-Angelos Fyrigos, Vasileios Ntinas, Stavros Kitsios, Michail-Antisthenis Tsompanas, Panagiotis Bousoulas, Dimitris Tsoukalas, Andrew Adamatzky, Georgios Ch Sirakoulis
Summary: This paper studies the inspiration from wave-based computing on chemical media towards the implementation of equivalent systems on oscillating memristive circuits. By developing electrical circuits that imitate the dynamics of chemical computers, the non-linear behavior of the chemical systems can be facilitated.
Article
Physics, Applied
P. Bousoulas, Ch Tsioustas, D. Tsoukalas
Summary: In this work, an artificial nociceptive element that can emulate the properties of biological nociceptors is proposed. The device has low power consumption, scalability, and operates under low voltage with fast switching. The impact of the electrode material's local temperature distribution on the device's memory performance and switching dynamics is studied through experiments and numerical simulations.
APPLIED PHYSICS LETTERS
(2022)
Review
Physics, Applied
Panagiotis Bousoulas, Stavros Kitsios, Theodoros Panagiotis Chatzinikolaou, Iosif-Angelos Fyrigos, Vasileios Ntinas, Michail-Antisthenis Tsompanas, Georgios Ch Sirakoulis, Dimitris Tsoukalas
Summary: This review focuses on the use of resistive switching memories, such as valence change memories or conductive bridge memories, to emulate neuromorphic characteristics. The impact of device structure and the incorporation of Pt nanoparticles are thoroughly investigated. The experiments demonstrate that these devices possess the ability to emulate various artificial synaptic functionalities, while operating with low power consumption and exhibiting biological-like behavior. This approach provides valuable insights for the development of multifunctional synaptic elements.
JAPANESE JOURNAL OF APPLIED PHYSICS
(2022)
Article
Materials Science, Multidisciplinary
Charalampos Papakonstantinopoulos, Panagiotis Bousoulas, Evangelos Aslanidis, Evangelos Skotadis, Menelaos Tsigkourakos, Dimitris Tsoukalas
Summary: The development of high-performance sensors that can mimic the human skin's response to external mechanical stimuli is becoming increasingly important in the era of artificial intelligence and robotics. In this study, an incredibly sensitive resistive stretchable sensor was demonstrated, achieving a gauge factor of around 10^7. The sensor was made using a polydimethylsiloxane (PDMS) substrate decorated with Pt nanoparticles as the stretch-sensitive medium placed between two Ag electrodes. By connecting the sensor in a parallel circuit configuration with a SiO2-based conductive-bridge memory, the functionality of a biological mechanoreceptor was emulated.
FLEXIBLE AND PRINTED ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
G. Kleitsiotis, P. Bousoulas, C. Tsioustas, D. Tsoukalas
Summary: The synaptic properties of a SiO2-based CBRAM were investigated in this study. A numerical model was used to interpret the synaptic pattern and validated with experimental data. An artificial afferent nerve concept, consisting of a piezoelectric sensory receptor, microcontroller, and CBRAM element, was demonstrated to process electrical signals from external stimuli. The synaptic adaptation and memory consolidation processes were recorded and analyzed.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Chemistry, Analytical
Myrto Kyriaki Filippidou, Aris Ioannis Kanaris, Evangelos Aslanidis, Annita Rapesi, Dimitra Tsounidi, Sotirios Ntouskas, Evangelos Skotadis, George Tsekenis, Dimitris Tsoukalas, Angeliki Tserepi, Stavros Chatzandroulis
Summary: The presence of heavy metal ions in soil, air and water is a significant global environmental threat, contributing to the rise of chronic diseases. Efforts have been made to detect these ions, but there is a need for sensitive, low-cost, and portable devices for on-site detection. In this study, we combine microfluidic technology and electrochemical sensing in a plastic chip to selectively detect heavy metal ions using DNAzymes immobilized between platinum nanoparticles (PtNPs), providing a reliable portable solution for water pollution monitoring. A fast and easy fabrication method based on the photolithography of dry photosensitive layers is proposed for the realization of the microfluidic-based detection device. Pb2+ ions detection is demonstrated as a proof of concept using the prototype microfluidic device.
Proceedings Paper
Engineering, Electrical & Electronic
Theodoros Panagiotis Chatzinikolaou, Iosif-Angelos Fyrigos, Vasileios Ntinas, Stavros Kitsios, Panagiotis Bousoulas, Michail-Antisthenis Tsompanas, Dimitris Tsoukalas, Andrew Adamatzky, Georgios Ch Sirakoulis
Summary: Unconventional computing systems, such as chemical computers, encode reactants' concentrations as information and use wave-front propagation for computation. In this study, a digital twin based on a memristor oscillator was developed and tested to mimic the computational abilities of a chemical system. The results of the electrical system align well with simulation and experimental data from the chemical medium.
2022 IEEE 13TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS AND SYSTEMS (LASCAS)
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Panos Photopoulos, Christos Tsonos, Ilias Stavrakas, Dimos Triantis
Summary: Objective computer-assisted examinations are preferred over constructed response ones because they can be automatically marked. A study comparing the attitudes of engineering students towards a specific objective examination format found that most students expressed a preference for this format.
COMPUTER SUPPORTED EDUCATION, CSEDU 2021
(2022)
Article
Engineering, Electrical & Electronic
Charalampos Tsioustas, Panagiotis Bousoulas, Jack Hadfield, Theodoros Panagiotis Chatzinikolaou, Iosif-Angelos Fyrigos, Vasileios Ntinas, Michail-Antisthenis Tsompanas, Georgios Ch Sirakoulis, Dimitris Tsoukalas
Summary: In this work, self-selective SiO2-based resistive devices with low operating voltage and fast response time are presented. These devices can perform volatile and non-volatile behaviors, and have potential applications in neural network computing.
IEEE TRANSACTIONS ON NANOTECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Stavros Kitsios, Panagiotis Bousoulas, Dimitris Spithouris, Maria Kainourgiaki, Menelaos Tsigkourakos, Polyxeni Chatzopoulou, George P. Dimitrakopulos, Philomela Komninou, Dimitris Tsoukalas
Summary: In this work, the resistive switching behavior of SiO2 thin layer embedded with MoS2 in CBRAM configuration was explored. The proposed device exhibited enhanced conductance quantization behavior and synaptic properties, with the suppression of stochastic filament formation. Improved endurance and retention properties, as well as linearity of synaptic potentiation and depression procedures, were achieved through the control of Ag ion diffusion barrier by the existence of MoS2 atomic sieve.
ACS APPLIED ELECTRONIC MATERIALS
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Panagiotis Photopoulos, Christos Tsonos, Ilias Stavrakas, Dimos Triantis
Summary: The study compared engineering students' perceptions and attitudes towards problem-based multiple-choice and constructed response exams, showing a preference towards multiple-choice exams. Students facing learning difficulties struggle with written exams independently of their format, and their preferences towards the examination formats are influenced by the specificity of their learning difficulties.
CSEDU: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED EDUCATION - VOL 1
(2021)
Article
Chemistry, Multidisciplinary
Evangelos Aslanidis, Evangelos Skotadis, Dimitris Tsoukalas
Summary: This paper presents the demonstration of highly sensitive flexible strain sensors formed by a network of metallic nanoparticles grown on top of a cracked thin alumina film. The sensor sensitivity is shown to depend on the surface density of nanoparticles and the thickness of alumina thin films, both of which can be controlled via deposition techniques. The method allows reaching a record strain sensitivity value at 7.2% strain, while exhibiting high sensitivity in a large strain range. The discussion following the demonstration enlightens the physical understanding of sensor operation for tuning its performance according to process parameters.
