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  • 1.
    Domènech-Gil, Guillem
    et al.
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Nguyen, Thanh Duc
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Science & Engineering.
    Wikner, J. Jakob
    GE Healthcare, Linköping, Sweden.
    Eriksson, Jens
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Puglisi, Donatella
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Bastviken, David
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Efficient Methane Monitoring with Low-Cost Chemical Sensorsand Machine Learning2024Conference paper (Refereed)
    Abstract [en]

    We present a method to monitor methane at atmospheric concentrations with errors inthe order of tens of parts per billion. We use machine learning techniques and periodic calibrationswith reference equipment to quantify methane from the readings of an electronic nose. The resultsobtained demonstrate versatile and robust solution that outputs adequate concentrations in a varietyof different cases studied, including indoor and outdoor environments with emissions arising fromnatural or anthropogenic sources. Our strategy opens the path to a wide-spread use of low-costsensor system networks for greenhouse gas monitoring.

  • 2.
    Domènech-Gil, Guillem
    et al.
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Nguyen, Thanh Duc
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Science & Engineering.
    Wikner, Jacob
    Linköping University, Department of Electrical Engineering, Integrated Circuits and Systems. Linköping University, Faculty of Science & Engineering.
    Eriksson, Jens
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Nilsson Påledal, Sören
    Tekn Verken & Linkoping AB, S-58115 Linkoping, Sweden.
    Puglisi, Donatella
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Bastviken, David
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Electronic Nose for Improved Environmental Methane Monitoring2024In: Environmental Science and Technology, ISSN 0013-936X, E-ISSN 1520-5851, Vol. 58, p. 352-361Article in journal (Refereed)
    Abstract [en]

    Reducing emissions of the key greenhouse gas methane (CH4) is increasingly highlighted as being important to mitigate climate change. Effective emission reductions require cost-effective ways to measure CH4 to detect sources and verify that mitigation efforts work. We present here a novel approach to measure methane at atmospheric concentrations by means of a low-cost electronic nose strategy where the readings of a few sensors are combined, leading to errors down to 33 ppb and coefficients of determination, R-2, up to 0.91 for in situ measurements. Data from methane, temperature, humidity, and atmospheric pressure sensors were used in customized machine learning models to account for environmental cross-effects and quantify methane in the ppm-ppb range both in indoor and outdoor conditions. The electronic nose strategy was confirmed to be versatile with improved accuracy when more reference data were supplied to the quantification model. Our results pave the way toward the use of networks of low-cost sensor systems for the monitoring of greenhouse gases.

  • 3.
    Domènech-Gil, Guillem
    et al.
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Puglisi, Donatella
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Machine Learning for Enhanced Operation of UnderperformingSensors in Humid Conditions2024Conference paper (Refereed)
    Abstract [en]

    Using a single sensor as a virtual electronic nose, we demonstrate the possibility of obtaininggood results with underperforming sensors that, at first glance, would be discarded. For this aim, wecharacterized chemical gas sensors with low repeatability and random drift towards both dangerousand innocuous volatile organic compounds (VOCs) under different levels of relative humidity. Ourresults show classification accuracies higher than 90% when differentiating harmful from harmlessVOCs and coefficients of determination, R2, higher than 80% when determining their concentrationin the parts per billion to parts per million range.

  • 4.
    Puglisi, Donatella
    et al.
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Domènech-Gil, Guillem
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Enabling Lifelong Learning by Using Multiple Engagement Tools2023In: Proceedings of the 19th International CDIO Conference, 2023, p. 633-643Conference paper (Refereed)
    Abstract [en]

    This study aims to identify effective engagement tools and strategies that may strengthen student learning processes with a long-term impact. The context of learning plays an active role in student performance and needs to be carefully considered when designing collaborative learning environments. In the framework of a CDIO course entitled Project Course in Applied Physics (12 ECTS), master’s students in applied physics, electrical engineering, biomedical engineering, material science and nanotechnology work in groups of four to seven people for realizing their own project idea given three broad requirements: (i) use gas sensors, (ii) manage a certain maximum budget to purchase components, and (iii) build a working prototypefor any indoor air quality monitoring application of interest for them and their customer. Groupsare generally multicultural and multidisciplinary. Qualified supervision and skills training activities are adapted to facilitate the students’ progress and guarantee the success of their project work. Based on observations, feedback, and results over a five-year period, this approach appears more engaging and inspiring for both students and teachers compared to more defined projects. Encouraging the students to conceive their own original ideas, involving them in the co-creation of the learning process, and building knowledge, understanding, and skills through a variety of engaging experiences, helps their motivation, interest, active participation, and creativity with a direct impact on the quality of their learning. As an example of successful project work, here we report on two groups of students at Linköping University, Sweden, who have recently designed, developed, and tested an innovative sensor system prototype for smart monitoring of gas and particle emissions from cooking activities. The project course has received 5.0/5.0 as an overall students’ evaluation.

  • 5.
    Domenech, Guillem
    et al.
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences. Univ Barcelona UB, Spain.
    Sama, Jordi
    Univ Barcelona UB, Spain; Univ Barcelona UB, Spain.
    Fabrega, Cristian
    Univ Barcelona UB, Spain.
    Gracia, Isabel
    CSIC, Spain.
    Cane, Carles
    CSIC, Spain.
    Barth, Sven
    Goethe Univ Frankfurt, Germany.
    Romano-Rodriguez, Albert
    Univ Barcelona UB, Spain.
    Highly sensitive SnO2 nanowire network gas sensors2023In: Sensors and actuators. B, Chemical, ISSN 0925-4005, E-ISSN 1873-3077, Vol. 383, article id 133545Article in journal (Refereed)
    Abstract [en]

    In this work we present a methodology for the localized growth of nanowires on prespecified areas of micro -hotplates that allows to independently adjust the devices resistance and its response to the gas. This is achieved through the fabrication stripes containing the nanowires, with or without the presence of a gap in the stripe, giving rise that the nanowires bridge the current. The methodology is demonstrated growing SnO2 nanowire-based chemoresistors and the fabricated sensors have been characterized against CO and NO2. The results show the capability of tailoring nanowire stripe sizes from 1 to 100 mu m, including empty areas of the same sizes along the sensing material, and a response increase by a factor of up to 500. We attribute the response enhancement to the absence of nucleation seeds in the gap area, where only arching nanowires can allow the current to flow between electrodes. In this way, the current flow along the bridge of nanowires is restricted principally to the surface conduction, which is controlled by the interaction of the nanowires with gases.

  • 6.
    Domènech-Gil, Guillem
    et al.
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Puglisi, Donatella
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Machine Learning for Enhanced Operation of Underperforming Sensors in Humid Conditions2023Conference paper (Other academic)
    Abstract [en]

    By using a single sensor as a virtual electronic nose, we demonstrate the possibility of obtaining good results with underperforming sensors that, at first glance, would be discarded. For this aim, we characterized chemical gas sensors with low repeatability and random drift towards both dangerous and innocuous volatile organic compounds (VOCs) under different levels of relative humidity. Our results show classification accuracies higher than 90% when differentiating harmful from harmless VOCs and coefficients of determination, R2, higher than 80% when determining their concentrationin the parts per billion to parts per million range.

  • 7.
    Domènech-Gil, Guillem
    et al.
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Puglisi, Donatella
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    A Virtual Electronic Nose for the Efficient Classification and Quantification of Volatile Organic Compounds2022In: Sensors, E-ISSN 1424-8220, Vol. 22, no 19, p. 7340-7354Article in journal (Refereed)
    Abstract [en]

    Although many chemical gas sensors report high sensitivity towards volatile organic compounds (VOCs), finding selective gas sensing technologies that can classify different VOCs is an ongoing and highly important challenge. By exploiting the synergy between virtual electronic noses and machine learning techniques, we demonstrate the possibility of efficiently discriminating, classifying, and quantifying short-chain oxygenated VOCs in the parts-per-billion concentration range. Several experimental results show a reproducible correlation between the predicted and measured values. A 10-fold cross-validated quadratic support vector machine classifier reports a validation accuracy of 91% for the different gases and concentrations studied. Additionally, a 10-fold cross-validated partial least square regression quantifier can predict their concentrations with coefficients of determination, R-2, up to 0.99. Our methodology and analysis provide an alternative approach to overcoming the issue of gas sensors selectivity, and have the potential to be applied across various areas of science and engineering where it is important to measure gases with high accuracy.

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  • 8.
    Buzzin, Alessio
    et al.
    Sapienza Univ Rome, Italy.
    Domènech-Gil, Guillem
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Fraschetti, Elena
    Sapienza Univ Rome, Italy.
    Giovine, Ennio
    Inst Photon & Nanotechnol, Italy.
    Puglisi, Donatella
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Caputo, Domenico
    Sapienza Univ Rome, Italy.
    Assessing the consequences of prolonged usage of disposable face masks2022In: Scientific Reports, E-ISSN 2045-2322, Vol. 12, no 1, article id 16796Article in journal (Refereed)
    Abstract [en]

    Due to the SARS-CoV-2 outbreak, wearing a disposable face mask has become a worldwide daily routine, not only for medical operators or specialized personnel, but also for common people. Notwithstanding the undeniable positive effect in reducing the risk of virus transmission, it is important to understand if a prolonged usage of the same face mask can have effectiveness on filtering capability and potential health consequences. To this aim, we present three investigations. A survey, carried out in central Italy, offers an overview of the distorted public awareness of face mask usage. A functional study shows how prolonged wearing leads to substantial drops in humid air filtration efficiency. Finally, a morphological analysis reports the proliferation of fungal or bacteria colonies inside an improperly used mask. Our study highlights therefore that wearing a face mask is really beneficial only if it is used correctly.

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  • 9.
    Fraschetti, Elena
    et al.
    Sapienza University of Rome, Italy.
    Puglisi, Donatella
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Domènech-Gil, Guillem
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Buzzin, Alessio
    Sapienza University of Rome, Italy.
    Mastrandrea, Antonio
    Sapienza University of Rome, Italy.
    Mazzetta, Ivan
    Sapienza University of Rome, Italy.
    de Cesare, Giampiero
    Sapienza University of Rome, Italy.
    Casalinuovo, Silvia
    Sapienza University of Rome, Italy.
    Quaranta, Simone
    Institute for the Study of Nanostructured Materials (CNR ISMN), Rome, Italy .
    Caputo, Domenico
    Sapienza University of Rome, Italy.
    Characterization of Disposable Facemasks for COVID-19 Through Colorimetric Analysis2022In: NanoInnovation 2021, Institute of Physics (IOP), 2022, Vol. 1265, article id 012008Conference paper (Refereed)
    Abstract [en]

    Many aspects of the world population's daily life have been recently changed by the events following the SARS-COV-2 pandemic outbreak. Among all the consequences, wearing face masks has become a common routine to protect from virus transmission risks. This work presents a simple colorimetric system able to detect the carbon dioxide (CO2) saturation inside a disposable face mask, which is useful to determine the level of wear and degradation and to visually provide indications on its disposal time. The experiments were carried out by wearing a FFP2 face mask externally treated with a phenolphthalein solution and including in its breathing zone a CO2 sensor. Changes in face mask color were recorded by a camera and analyzed with ImageJ. A strong correspondence was found between the high values of CO2 detected by the sensor and the analyzed data. The results are promising and suggest further efforts in developing easy-to-use colorimetric methods as a visual indicator of the life cycle of a disposable face mask.

  • 10.
    Domènech-Gil, Guillem
    et al.
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Puglisi, Donatella
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Benefits of virtual sensors for air quality monitoring in humid conditions2021In: Sensors and actuators. B, Chemical, ISSN 0925-4005, E-ISSN 1873-3077, Vol. 344, article id 130294Article in journal (Refereed)
    Abstract [en]

    The gas sensing mechanisms, response, and behaviour of a real and a virtual solid-state chemical gas sensor operating either in static or in dynamic mode have been compared. The analysis was done by exposing simultaneously both sensors to different concentrations of various volatile organic compounds diluted in dry, as well as humid, synthetic air. The results revealed similar responses and behaviours for both types of measurement modes when the sensors were exposed towards single gas compounds, but a sensitivity enhancement in measurements comprising mixtures of gases when the sensors were operated in dynamic mode. The method used is able to overcome surface saturation problems and is beneficial for applications where mixtures of gases diluted in relative humidity are present.

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  • 11.
    Lopez-Aymerich, Elena
    et al.
    Univ Barcelona, Spain; Univ Barcelona, Spain.
    Domenech, Guillem
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering. Univ Barcelona, Spain; Univ Barcelona, Spain.
    Moreno, Mauricio
    Univ Barcelona, Spain; Univ Barcelona, Spain.
    Pellegrino, Paolo
    Univ Barcelona, Spain; Univ Barcelona, Spain.
    Romano-Rodriguez, Albert
    Univ Barcelona, Spain; Univ Barcelona, Spain.
    Fabrication, Characterization and Performance of Low Power Gas Sensors Based on (GaxIn1-x)(2)O-3 Nanowires2021In: Sensors, E-ISSN 1424-8220, Vol. 21, no 10, article id 3342Article in journal (Refereed)
    Abstract [en]

    Active research in nanostructured materials aims to explore new paths for improving electronic device characteristics. In the field of gas sensors, those based on metal oxide single nanowires exhibit excellent sensitivity and can operate at extremely low power consumption, making them a highly promising candidate for a novel generation of portable devices. The mix of two different metal oxides on the same nanowire can further broaden the response of this kind of gas sensor, thus widening the range of detectable gases, without compromising the properties related to the active region miniaturization. In this paper, a first study on the synthesis, characterization and gas sensing performance of (GaxIn1-x)(2)O-3 nanowires (NWs) is reported. Carbothermal metal-assisted chemical vapor deposition was carried out with different mixtures of Ga2O3, In2O3 and graphite powders. Structural characterization of the NWs revealed that they have a crystalline structure close to that of In2O3 nanowires, with a small amount of Ga incorporation, which highly depends on the mass ratio between the two precursors. Dedicated gas nanosensors based on single NWs were fabricated and tested for both ethanol and nitrogen dioxide, demonstrating an improved performance compared to similar devices based on pure In2O3 or Ga2O3 NWs.

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  • 12.
    Domènech-Gil, Guillem
    et al.
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering. Institute of Nanoscience and Nanotechnology (IN2UB), Department of Electronic and Biomedical Engineering, Universitat de Barcelona (UB), Barcelona, Spain.
    Gràcia, Isabel
    Institut de Microelectrònica de Barcelona (IMB), Centre Nacional de Microelectrònica (CNM), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain.
    Cané, Carles
    Institut de Microelectrònica de Barcelona (IMB), Centre Nacional de Microelectrònica (CNM), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain.
    Romano-Rodríguez, Albert
    Institute of Nanoscience and Nanotechnology (IN2UB), Department of Electronic and Biomedical Engineering, Universitat de Barcelona (UB), Barcelona, Spain.
    Nitrogen Dioxide Selective Sensor for Humid Environments Based on Octahedral Indium Oxide2021In: Frontiers in Sensors, E-ISSN 2673-5067, Vol. 2, article id 672516Article in journal (Refereed)
    Abstract [en]

    We report the growth of micrometer-sized In2O3 octahedral structures, which are next aligned in chains using dielectrophoresis on top of microhotplates with prepatterned electrodes and integrated heater to work as chemoresistive gas sensors. The devices are relatively fast (180 s), highly sensitive (response up to ∼256%), and selective toward NO2 in humid environments, showing little response to O2 and ethanol, and being completely insensitive to CO and CH4. The here-presented fabrication method can be easily extended as a cost-effective post-process in CMOS-compatible microhotplate fabrication and, thus, represents a promising candidate for indoor and outdoor air quality monitoring devices.

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  • 13.
    Domènech-Gil, Guillem
    et al.
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Rodner, Marius
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Eriksson, Jens
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Puglisi, Donatella
    Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
    Temperature Cycled Operation and Multivariate Statistics for Electronic-Nose Applications Using Field Effect Transistors2020In: Proceedings of 4th International Conference nanoFIS 2020 - Functional Integrated nanoSystems, 2020, Vol. 56, p. 1-3Conference paper (Other academic)
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1 - 13 of 13
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