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  1. Article: Vibration Sensors on Flexible Substrates Based on Nanoparticle Films Grown by Physical Vapor Deposition.

    Aslanidis, Evangelos / Sarigiannidis, Savvas / Skotadis, Evangelos / Tsoukalas, Dimitris

    Materials (Basel, Switzerland)

    2024  Volume 17, Issue 7

    Abstract: Flexible electronics have gained a lot of attention in recent years due to their compatibility with soft robotics, artificial arms, and many other applications. Meanwhile, the detection of acoustic frequencies is a very useful tool for applications ... ...

    Abstract Flexible electronics have gained a lot of attention in recent years due to their compatibility with soft robotics, artificial arms, and many other applications. Meanwhile, the detection of acoustic frequencies is a very useful tool for applications ranging from voice recognition to machine condition monitoring. In this work, the dynamic response of Pt nanoparticles (Pt NPs)-based strain sensors on flexible substrates is investigated. the nanoparticles were grown in a vacuum by magnetron-sputtering inert-gas condensation. Nanoparticle sensors made on cracked alumina deposited by atomic layer deposition on the flexible substrate and reference nanoparticle sensors, without the alumina layer, were first characterized by their response to strain. The sensors were then characterized by their dynamic response to acoustic frequency vibrations between 20 Hz and 6250 Hz. The results show that alumina sensors outperformed the reference sensors in terms of voltage amplitude. Sensors on the alumina layer could accurately detect frequencies up to 6250 Hz, compared with the reference sensors, which were sensitive to frequencies up to 4250 Hz, while they could distinguish between two neighboring frequencies with a difference of no more than 2 Hz.
    Language English
    Publishing date 2024-03-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma17071522
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Micronutrient deficiencies in patients with COVID-19: how metabolomics can contribute to their prevention and replenishment.

    Tsoukalas, Dimitris / Sarandi, Evangelia

    BMJ nutrition, prevention & health

    2020  Volume 3, Issue 2, Page(s) 419–420

    Language English
    Publishing date 2020-11-03
    Publishing country England
    Document type Journal Article
    ISSN 2516-5542
    ISSN (online) 2516-5542
    DOI 10.1136/bmjnph-2020-000169
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration.

    Evangeliou, Nikolaos / Chaikalis, Dimitris / Tsoukalas, Athanasios / Tzes, Anthony

    Frontiers in robotics and AI

    2022  Volume 8, Page(s) 777535

    Abstract: UAVs operating in a leader-follower formation demand the knowledge of the relative pose between the collaborating members. This necessitates the RF-communication of this information which increases the communication latency and can easily result in lost ... ...

    Abstract UAVs operating in a leader-follower formation demand the knowledge of the relative pose between the collaborating members. This necessitates the RF-communication of this information which increases the communication latency and can easily result in lost data packets. In this work, rather than relying on this autopilot data exchange, a visual scheme using passive markers is presented. Each formation-member carries passive markers in a RhOct configuration. These markers are visually detected and the relative pose of the members is on-board determined, thus eliminating the need for RF-communication. A reference path is then evaluated for each follower that tracks the leader and maintains a constant distance between the formation-members. Experimental studies show a mean position detection error (5 × 5 × 10cm) or less than 0.0031% of the available workspace [0.5 up to 5m, 50.43° × 38.75° Field of View (FoV)]. The efficiency of the suggested scheme against varying delays are examined in these studies, where it is shown that a delay up to 1.25s can be tolerated for the follower to track the leader as long as the latter one remains within its FoV.
    Language English
    Publishing date 2022-01-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2781824-X
    ISSN 2296-9144 ; 2296-9144
    ISSN (online) 2296-9144
    ISSN 2296-9144
    DOI 10.3389/frobt.2021.777535
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration

    Nikolaos Evangeliou / Dimitris Chaikalis / Athanasios Tsoukalas / Anthony Tzes

    Frontiers in Robotics and AI, Vol

    2022  Volume 8

    Abstract: UAVs operating in a leader-follower formation demand the knowledge of the relative pose between the collaborating members. This necessitates the RF-communication of this information which increases the communication latency and can easily result in lost ... ...

    Abstract UAVs operating in a leader-follower formation demand the knowledge of the relative pose between the collaborating members. This necessitates the RF-communication of this information which increases the communication latency and can easily result in lost data packets. In this work, rather than relying on this autopilot data exchange, a visual scheme using passive markers is presented. Each formation-member carries passive markers in a RhOct configuration. These markers are visually detected and the relative pose of the members is on-board determined, thus eliminating the need for RF-communication. A reference path is then evaluated for each follower that tracks the leader and maintains a constant distance between the formation-members. Experimental studies show a mean position detection error (5 × 5 × 10cm) or less than 0.0031% of the available workspace [0.5 up to 5m, 50.43° × 38.75° Field of View (FoV)]. The efficiency of the suggested scheme against varying delays are examined in these studies, where it is shown that a delay up to 1.25s can be tolerated for the follower to track the leader as long as the latter one remains within its FoV.
    Keywords UAV ; drone ; swarm ; leader follower ; relative localization ; Mechanical engineering and machinery ; TJ1-1570 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 629
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Resistive crack-based nanoparticle strain sensors with extreme sensitivity and adjustable gauge factor, made on flexible substrates.

    Aslanidis, Evangelos / Skotadis, Evangelos / Tsoukalas, Dimitris

    Nanoscale

    2021  Volume 13, Issue 5, Page(s) 3263–3274

    Abstract: In this paper, we report the demonstration of highly sensitive flexible strain sensors formed by a network of metallic nanoparticles (NPs) grown under vacuum on top of a cracked thin alumina film which has been deposited by atomic layer deposition. It is ...

    Abstract In this paper, we report the demonstration of highly sensitive flexible strain sensors formed by a network of metallic nanoparticles (NPs) grown under vacuum on top of a cracked thin alumina film which has been deposited by atomic layer deposition. It is shown that the sensor sensitivity depends on the surface density of NPs as well as on the thickness of alumina thin films that can both be well controlled via the deposition techniques. This method allows reaching a record strain sensitivity value of 2.6 × 108 at 7.2% strain, while exhibiting high sensitivity in a large strain range from 0.1% to 7.2%. The demonstration is followed by a discussion enlightening the physical understanding of sensor operation, which enables the tuning of its performance according to the above process parameters.
    Language English
    Publishing date 2021-02-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/d0nr07002e
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Simulation tool for predicting and optimizing the performance of nanoparticle based strain sensors.

    Aslanidis, Evangelos / Skotadis, Evangelos / Tsoukalas, Dimitris

    Nanotechnology

    2021  Volume 32, Issue 27

    Abstract: In this work a Monte-Carlo tool simulating platinum nanoparticle (NP) based strain-sensors, on flexible substrates, is presented. The tool begins by randomly placing the NPs on the simulation area, with the ability to tune the NP surface coverage. After ... ...

    Abstract In this work a Monte-Carlo tool simulating platinum nanoparticle (NP) based strain-sensors, on flexible substrates, is presented. The tool begins by randomly placing the NPs on the simulation area, with the ability to tune the NP surface coverage. After the calculation of the conductive paths that were generated in the previous step, the whole system is represented with an equivalent circuit; the NPs and the NP clusters act as nodes and the inter-particle gaps as resistances. The effective resistance is then calculated with the use of a Laplacian Matrix, which has proven extremely effective in significantly reducing the overall computational time. The simulation results are then benchmarked with experimental measurements from actual strain-sensing devices. The software is capable of predicting the strain-sensitivity for different NP sizes as well as surface coverages, emerging as a powerful computational tool for design-optimization of NP based devices in polymeric substrates, while it could well be extended to other nanocomposite materials used in flexible or stretchable electronic applications.
    Language English
    Publishing date 2021-04-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 1362365-5
    ISSN 1361-6528 ; 0957-4484
    ISSN (online) 1361-6528
    ISSN 0957-4484
    DOI 10.1088/1361-6528/abf195
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Breath Analysis: A Promising Tool for Disease Diagnosis-The Role of Sensors.

    Kaloumenou, Maria / Skotadis, Evangelos / Lagopati, Nefeli / Efstathopoulos, Efstathios / Tsoukalas, Dimitris

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 3

    Abstract: Early-stage disease diagnosis is of particular importance for effective patient identification as well as their treatment. Lack of patient compliance for the existing diagnostic methods, however, limits prompt diagnosis, rendering the development of non- ... ...

    Abstract Early-stage disease diagnosis is of particular importance for effective patient identification as well as their treatment. Lack of patient compliance for the existing diagnostic methods, however, limits prompt diagnosis, rendering the development of non-invasive diagnostic tools mandatory. One of the most promising non-invasive diagnostic methods that has also attracted great research interest during the last years is breath analysis; the method detects gas-analytes such as exhaled volatile organic compounds (VOCs) and inorganic gases that are considered to be important biomarkers for various disease-types. The diagnostic ability of gas-pattern detection using analytical techniques and especially sensors has been widely discussed in the literature; however, the incorporation of novel nanomaterials in sensor-development has also proved to enhance sensor performance, for both selective and cross-reactive applications. The aim of the first part of this review is to provide an up-to-date overview of the main categories of sensors studied for disease diagnosis applications via the detection of exhaled gas-analytes and to highlight the role of nanomaterials. The second and most novel part of this review concentrates on the remarkable applicability of breath analysis in differential diagnosis, phenotyping, and the staging of several disease-types, which are currently amongst the most pressing challenges in the field.
    MeSH term(s) Body Fluids ; Breath Tests ; Exhalation ; Gases ; Humans ; Volatile Organic Compounds
    Chemical Substances Gases ; Volatile Organic Compounds
    Language English
    Publishing date 2022-02-06
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22031238
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: The snapshot of metabolic health in evaluating micronutrient status, the risk of infection and clinical outcome of COVID-19.

    Tsoukalas, Dimitris / Sarandi, Evangelia / Georgaki, Spyridoula

    Clinical nutrition ESPEN

    2021  Volume 44, Page(s) 173–187

    Abstract: COVID-19 has re-established the significance of analyzing the organism through a metabolic perspective to uncover the dynamic interconnections within the biological systems. The role of micronutrient status and metabolic health emerge as pivotal in COVID- ...

    Abstract COVID-19 has re-established the significance of analyzing the organism through a metabolic perspective to uncover the dynamic interconnections within the biological systems. The role of micronutrient status and metabolic health emerge as pivotal in COVID-19 pathogenesis and the immune system's response. Metabolic disruption, proceeding from modifiable factors, has been proposed as a significant risk factor accounting for infection susceptibility, disease severity and risk for post-COVID complications. Metabolomics, the comprehensive study and quantification of intermediates and products of metabolism, is a rapidly evolving field and a novel tool in biomarker discovery. In this article, we propose that leveraging insulin resistance biomarkers along with biomarkers of micronutrient deficiencies, will allow for a diagnostic window and provide functional therapeutic targets. Specifically, metabolomics can be applied as: a. At-home test to assess the risk of infection and propose nutritional support, b. A screening tool for high-risk COVID-19 patients to develop serious illness during hospital admission and prioritize medical support, c(i). A tool to match nutritional support with specific nutrient requirements for mildly ill patients to reduce the risk for hospitalization, and c(ii). for critically ill patients to reduce recovery time and risk of post-COVID complications, d. At-home test to monitor metabolic health and reduce post-COVID symptomatology. Metabolic rewiring offers potential virtues towards disease prevention, dissection of high-risk patients, taking actionable therapeutic measures, as well as shielding against post-COVID syndrome.
    MeSH term(s) COVID-19/complications ; Humans ; Malnutrition/complications ; Malnutrition/therapy ; Micronutrients ; Nutritional Status ; Nutritional Support/methods ; Risk Assessment ; SARS-CoV-2 ; Severity of Illness Index
    Chemical Substances Micronutrients
    Language English
    Publishing date 2021-06-26
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2405-4577
    ISSN (online) 2405-4577
    DOI 10.1016/j.clnesp.2021.06.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: The snapshot of metabolic health in evaluating micronutrient status, the risk of infection and clinical outcome of COVID-19

    Tsoukalas, Dimitris / Sarandi, Evangelia / Georgaki, Spyridoula

    Clinical nutrition ESPEN. 2021 Aug., v. 44

    2021  

    Abstract: COVID-19 has re-established the significance of analyzing the organism through a metabolic perspective to uncover the dynamic interconnections within the biological systems. The role of micronutrient status and metabolic health emerge as pivotal in COVID- ...

    Abstract COVID-19 has re-established the significance of analyzing the organism through a metabolic perspective to uncover the dynamic interconnections within the biological systems. The role of micronutrient status and metabolic health emerge as pivotal in COVID-19 pathogenesis and the immune system's response. Metabolic disruption, proceeding from modifiable factors, has been proposed as a significant risk factor accounting for infection susceptibility, disease severity and risk for post-COVID complications. Metabolomics, the comprehensive study and quantification of intermediates and products of metabolism, is a rapidly evolving field and a novel tool in biomarker discovery. In this article, we propose that leveraging insulin resistance biomarkers along with biomarkers of micronutrient deficiencies, will allow for a diagnostic window and provide functional therapeutic targets. Specifically, metabolomics can be applied as: a. At-home test to assess the risk of infection and propose nutritional support, b. A screening tool for high-risk COVID-19 patients to develop serious illness during hospital admission and prioritize medical support, c(i). A tool to match nutritional support with specific nutrient requirements for mildly ill patients to reduce the risk for hospitalization, and c(ii). for critically ill patients to reduce recovery time and risk of post-COVID complications, d. At-home test to monitor metabolic health and reduce post-COVID symptomatology. Metabolic rewiring offers potential virtues towards disease prevention, dissection of high-risk patients, taking actionable therapeutic measures, as well as shielding against post-COVID syndrome.
    Keywords COVID-19 infection ; biomarkers ; clinical nutrition ; disease prevention ; disease severity ; dissection ; hospitals ; immune system ; insulin resistance ; metabolism ; metabolomics ; nutritional support ; pathogenesis ; risk assessment ; risk factors ; risk reduction
    Language English
    Dates of publication 2021-08
    Size p. 173-187.
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 2405-4577
    DOI 10.1016/j.clnesp.2021.06.011
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Micronutrient deficiencies in patients with COVID-19

    Tsoukalas, Dimitris / Sarandi, Evangelia

    BMJ Nutrition, Prevention & Health

    how metabolomics can contribute to their prevention and replenishment

    2020  , Page(s) bmjnph–2020–000169

    Keywords covid19
    Language English
    Publisher BMJ
    Publishing country uk
    Document type Article ; Online
    ISSN 2516-5542
    DOI 10.1136/bmjnph-2020-000169
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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