SwePub - sökning: WFRF:(Puglisi Donatella 1980 )

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1.	Domènech-Gil, Guillem, Mr. Doctor, et al. (författare) Efficient Methane Monitoring with Low-Cost Chemical Sensorsand Machine Learning 2024 Konferensbidrag (refereegranskat)abstract 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, Mr. Doctor, et al. (författare) Electronic Nose for Improved Environmental Methane Monitoring 2024 Ingår i: Environmental Science and Technology. - : AMER CHEMICAL SOC. - 0013-936X .- 1520-5851. ; 58, s. 352-361 Tidskriftsartikel (refereegranskat)abstract 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.	Andersson, Mike, 1977-, et al. (författare) Recent progress in silicon carbide field effect gas sensors 2020. - 2 Ingår i: Semiconductor gas sensors. - Oxford : Woodhead Publishing Limited. - 9780081025598 ; , s. 309-346 Bokkapitel (refereegranskat)abstract The introduction of silicon carbide as the semiconductor in gas-sensitive field effect devices has disruptively improved this sensor platform extending the operation temperature to more than 600 °C with an increased number of detectable gases. Here, we review recent progress in research and applications, starting with transducer and detection mechanisms, presenting new material combinations as sensing layers for improved selectivity and detection limits down to subparts per billion. We describe how temperature cycled operation combined with advanced data evaluation enables one sensor to act as a sensor array thereby vastly improving selectivity. Field tests require advanced packaging, which is described, and examples of possible applications like selective detection of ammonia for urea injection control in diesel exhausts and toxic volatile organic compounds for indoor air quality monitoring and control are given.
4.	Bastuck, Manuel, et al. (författare) Low-cost chemical gas sensors for selective formaldehyde quantification at ppb-level in field tests 2017 Konferensbidrag (refereegranskat)abstract Data from a silicon carbide based field-effect transistor were recorded over a period of nine days in a ventilated school room. For enhanced sensitivity and selectivity especially to formaldehyde, porous iridium on pulsed laser deposited tungsten trioxide was used as sensitive layer, in combination with temperature cycled operation and subsequent multivariate data processing techniques. The sensor signal was compared to reference measurements for formaldehyde concentration, CO2 concentration, temperature, and relative humidity. The results show a distinct pattern for the reference formaldehyde concentration, arising from the day/night cycle. Taking this into account, the projections of both principal component analysis and partial least squares regression lead to almost the same result concerning correlation to the reference. The sensor shows cross-sensitivity to an unidentified component of human activity, presumably breath, and, possibly, to other compounds appearing together with formaldehyde in indoor air. Nevertheless, the sensor is able to detect and partially quantify formaldehyde below 40 ppb with a correlation to the reference of 0.48 and negligible interference from ambient temperature or relative humidity.
5.	Bastuck, Manuel, et al. (författare) UV-assisted gate bias cycling in gas-sensitive field-effect transistors 2018 Ingår i: Proceedings. - Basel Switzerland : MDPI. - 2504-3900. ; 2:13 Tidskriftsartikel (refereegranskat)abstract Static and dynamic responses of a silicon carbide field-effect transistor gas sensor have been investigated at two different gate biases in several test gases. Especially the dynamic effects are gas dependent and can be used for gas identification. The addition of ultraviolet light reduces internal electrical relaxation effects, but also introduces new, temperature-dependent effects.
6.	Casalinuovo, Silvia, et al. (författare) 3D-Printed Face Mask with Integrated Sensors as Protective and Monitoring Tool 2023 Ingår i: Sensors and Microsystems. - Cham : Springer Nature Switzerland. - 9783031257087 - 9783031257063 Konferensbidrag (refereegranskat)abstract The outbreak of the recent Covid-19 pandemic changed many aspects of our daily life, such as the constant wearing of face masks as protection from virus transmission risks. Furthermore, it exposed the healthcare system’s fragilities, showing the urgent need to design a more inclusive model that takes into account possible future emergencies, together with population’s aging and new severe pathologies. In this framework, face masks can be both a physical barrier against viruses and, at the same time, a telemedical diagnostic tool. In this paper, we propose a low-cost, 3D-printed face mask able to protect the wearer from virus transmission, thanks to internal FFP2 filters, and to monitor the air quality (temperature, humidity, CO2) inside the mask. Acquired data are automatically transmitted to a web terminal, thanks to sensors and electronics embedded in the mask. Our preliminary results encourage more efforts in these regards, towards rapid, inexpensive and smart ways to integrate more sensors into the mask’s breathing zone in order to use the patient’s breath as a fingerprint for various diseases.
7.	Casalinuovo, Silvia, et al. (författare) AuNP-coated cotton as VOC sensor for disease detection from breath 2023 Ingår i: Proceedings of SIE 2022. - Cham : Springer Nature Switzerland. - 9783031260667 - 9783031260650 Konferensbidrag (refereegranskat)abstract The COVID-19 pandemic outbreak, declared in March 2020, has led to several behavioral changes in the general population, such as social distancing and mask usage among others. Furthermore, the sanitary emergency has stressed health system weaknesses in terms of disease prevention, diagnosis, and cure. Thus, smart technologies allowing for early and quick detection of diseases are called for. In this framework, the development of point-of-care devices can provide new solutions for sanitary emergencies management. This work focuses on the development of useful tools for early disease diagnosis based on nanomaterials on cotton substrates, to obtain a low-cost and easy-to-use detector of breath volatiles as disease markers. Specifically, we report encouraging experimental results concerning acetone detection through impedance measurements. Such findings can pave the way to the implementation of VOCs (Volatile Organic Compounds) sensors into smart and user friendly diagnostic devices.
8.	Casalinuovo, Silvia, et al. (författare) Cotone funzionalizzato con nanoparticelle d'oro come promettente substrato flessibile ed ecologico per il rilevamento impedometrico di COV [Gold Nanoparticles-Functionalized Cotton as Promising Flexible and Green Substrate for Impedometric VOC Detection] 2023 Ingår i: Materials. - : MDPI. - 1996-1944. ; 16 Tidskriftsartikel (refereegranskat)abstract Questo lavoro si concentra sulla possibile applicazione di nanoparticelle d'oro su tessuti di cotone flessibili come substrati sensibili all'acetone e all'etanolo mediante misurazioni di impedenza. Nello specifico, nanoparticelle d'oro (NP Au) funzionalizzate con citrato e polivinilpirrolidone (PVP) sono state sintetizzate utilizzando procedure verdi e consolidate e depositate su tessuto di cotone. Una caratterizzazione strutturale e morfologica completa è stata condotta utilizzando la spettroscopia UV-VIS e infrarossa a trasformata di Fourier (FT-IR), la microscopia a forza atomica (AFM) e la microscopia elettronica a scansione (SEM). Una caratterizzazione dielettrica dettagliata del substrato vuoto ha rivelato effetti di polarizzazione interfacciale legati sia alle NP Au che alla loro specifica funzionalizzazione superficiale. Ad esempio, rivestendo interamente il tessuto di cotone (ovvero creando una matrice più isolante), è stato riscontrato che il PVP aumenta la resistenza del campione, ovvero diminuisce l'interconnessione elettrica delle NP Au rispetto al campione funzionalizzato con citrato. Tuttavia, è stato osservato che la funzionalizzazione del citrato ha fornito una distribuzione uniforme delle NP Au, che ha ridotto la loro spaziatura e, quindi, facilitato il trasporto degli elettroni. Per quanto riguarda il rilevamento dei composti organici volatili (COV), le misurazioni della spettroscopia di impedenza elettrochimica (EIS) hanno mostrato che il legame idrogeno e la risultante impedenza di migrazione protonica sono fondamentali per distinguere l'etanolo dall'acetone.
9.	Casalinuovo, Silvia, et al. (författare) Measurements of Exhaled CO2 Through a Novel Telemedicine Tool 2023 Ingår i: Lecture Notes in Electrical Engineering, vol 1113. Springer, Cham.. - : Springer Nature. - 9783031487101 - 9783031487118 ; , s. 396-401 Bokkapitel (refereegranskat)abstract This paper proposes a telemedicine tool (complete of hardware, software and 3D printed face mask) for analyzing exhaled carbon dioxide (CO2) levels. Our interest in CO2 pattern is due to its correlation to psychological and physiological health status. To achieve this information, we developed a customized printed circuit board equipped with a CO2 sensor for breath analysis, a microcontroller, a WiFi module for data transmission, and a battery for enabling an autonomous device. We also developed an interactive web page for the users and a database for daily remote data management. The device was tested on two healthy subjects of different ages and with different lifestyles. The results highlighted that the younger subject presents increased CO2 values as a direct link to a more active life. We consider these promising results for testing our device on a major cohort of observational studies.
10.	Casalinuovo, Silvia, et al. (författare) Questioning Breath: A Digital Dive into CO2 Levels 2024 Konferensbidrag (refereegranskat)abstract This work presents a smart mask for real-time monitoring of carbon dioxide (CO2) levels asa reference tool for diagnosis, sports training and mental health status. A printed circuit board wasprojected and fabricated to gain data with real-time visualization and storage on a database, enablingremote monitoring as a needed skill for telemedicine purposes. The electronics were inserted in awearable device—shaped like a mask—and 3D-printed with biocompatible materials. The wholedevice was used for analyzing CO2 on a breath volunteer in three kinds of measurement.
11.	Domènech-Gil, Guillem, Mr. Doctor, et al. (författare) A Virtual Electronic Nose for the Efficient Classification and Quantification of Volatile Organic Compounds 2022 Ingår i: Sensors. - : MDPI. - 1424-8220. ; 22:19, s. 7340-7354 Tidskriftsartikel (refereegranskat)abstract 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.
12.	Domènech-Gil, Guillem, Mr. Doctor, et al. (författare) Benefits of virtual sensors for air quality monitoring in humid conditions 2021 Ingår i: Sensors and actuators. B, Chemical. - : Elsevier Science SA. - 0925-4005 .- 1873-3077. ; 344 Tidskriftsartikel (refereegranskat)abstract 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.
13.	Domènech-Gil, Guillem, Mr. Doctor, et al. (författare) Machine Learning for Enhanced Operation of Underperforming Sensors in Humid Conditions 2023 Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract 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.
14.	Domènech-Gil, Guillem, Mr. Doctor, et al. (författare) Machine Learning for Enhanced Operation of UnderperformingSensors in Humid Conditions 2024 Konferensbidrag (refereegranskat)abstract 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.
15.	Domènech-Gil, Guillem, et al. (författare) Temperature Cycled Operation and Multivariate Statistics for Electronic-Nose Applications Using Field Effect Transistors 2020 Ingår i: Proceedings of 4th International Conference nanoFIS 2020 - Functional Integrated nanoSystems. - Basel Switzerland : MDPI. ; , s. 1-3 Konferensbidrag (övrigt vetenskapligt/konstnärligt)
16.	Eriksson, Jens, 1979-, et al. (författare) Electronic Nose for Early Diagnosis of Ovarian Cancer 2024 Konferensbidrag (refereegranskat)abstract We present an electronic nose that detects ovarian cancer based on gas emissions from blood plasma. There is currently no test available for screening or diagnostic testing of this disease, whichis therefore often detected at aa late stage, resulting in a poor prognosis. Our approach correctly detected 85 out of 87 ovarian cancers, ranging from borderline to stage IV.
17.	Fraschetti, Elena, et al. (författare) Characterization of Disposable Facemasks for COVID-19 Through Colorimetric Analysis 2022 Ingår i: NanoInnovation 2021. - : Institute of Physics (IOP). Konferensbidrag (refereegranskat)abstract 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.
18.	Hasegawa, Yuki, et al. (författare) Development of Agriculture Support System Using Plant Bioelectric Potential Responses and Gas Sensor 2017 Ingår i: International Journal of Food and Biosystems Engineering. - 2408-0675. ; 5:1, s. 44-51 Tidskriftsartikel (refereegranskat)abstract In this study,we focus on the plant bioelectric potential response as a low-cost and a high sensitivity evaluation technique of plant physiological activities for an agriculture support system. We developed a cultivation light intensity control system using bioelectric potential response. This system contributes to improvement of the cultivation environment and provides energy saving effect.In addition, we introduced a field effect transistor based on silicon carbide (SiC-FET)gas sensor and evaluated the characteristics of the sensor by changing several parameters. The results showed that iridium gated SiC-FET sensor has high sensitivity to ethylene,and the highest response is achieved at 200 ◦C. We aim at the development of an agriculture support system, which combines the plant bioelectrical potential and the SiC-FET gas sensor response.
19.	Hasegawa, Yuki, et al. (författare) Development of ethylene gas sensor for evaluating fruit ripening 2017 Konferensbidrag (refereegranskat)
20.	Puglisi, Donatella, 1980-, et al. (författare) Enabling Lifelong Learning by Using Multiple Engagement Tools 2023 Ingår i: Proceedings of the 19th International CDIO Conference. - 9788230361863 ; , s. 633-643 Konferensbidrag (refereegranskat)abstract 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.
21.	Puglisi, Donatella, 1980-, et al. (författare) Silicon Carbide Microstrip Radiation Detectors 2019 Ingår i: Micromachines. - : MDPI. - 2072-666X. ; 10:12 Tidskriftsartikel (refereegranskat)abstract Compared with the most commonly used silicon and germanium, which need to work at cryogenic or low temperatures to decrease their noise levels, wide-bandgap compound semiconductors such as silicon carbide allow the operation of radiation detectors at room temperature, with high performance, and without the use of any bulky and expensive cooling equipment. In this work, we investigated the electrical and spectroscopic performance of an innovative position-sensitive semiconductor radiation detector in epitaxial 4H-SiC. The full depletion of the epitaxial layer (124 µm, 5.2 × 1013 cm−3) was reached by biasing the detector up to 600 V. For comparison, two different microstrip detectors were fully characterized from −20 °C to +107 °C. The obtained results show that our prototype detector is suitable for high resolution X-ray spectroscopy with imaging capability in a wide range of operating temperatures.
22.	Rodner, Marius, 1991-, et al. (författare) A platform for extremely sensitive gas sensing : 2D materials on silicon carbide 2018 Ingår i: TechConnect Briefs 2018 - Advanced Materials. - : TechConnect. - 9780998878232 ; , s. 101-104 Konferensbidrag (refereegranskat)abstract 2D materials offer a unique platform for sensing with extreme sensitivity, since minimal chemical interactions cause noticeable changes in the electronic state. An area where this is particularly interesting is environmental monitoring of gases that are hazardous at trace levels. In this study, SiC is used as a base for epitaxial growth of high quality, uniform graphene, and for templated growth of atomically thin layers of platinum, with potential benefits in terms of the ability to operate at higher temperature and to serve as a more robust template for fiinctionalization compared to graphene. Fiinctionalization with nanoparticles allows tuning the sensitivity to specific molecules without damaging the 2D sensor transducer. With this platform we demonstrate detection of nitrogen dioxide, formaldehyde, and benzene at trace concentrations. This, combined with smart sensor signal evaluation allowing fast response times, could allow real-time monitoring of these toxic pollutants at concentrations of relevance to air quality monitoring.
23.	Rodner, Marius, 1991-, et al. (författare) Iron oxide nanoparticle decorated graphene for ultra-sensitive detection of volatile organic compounds 2018 Ingår i: Proceedings. - Basel Switzerland : MDPI. - 2504-3900. ; 2:13 Tidskriftsartikel (refereegranskat)abstract It has been found that two-dimensional materials, such as graphene, can be used as remarkable gas detection platforms as even minimal chemical interactions can lead to distinct changes in electrical conductivity. In this work, epitaxially grown graphene was decorated with iron oxide nanoparticles for sensor performance tuning. This hybrid surface was used as a sensing layer to detect formaldehyde and benzene at concentrations of relevance in air quality monitoring (low parts per billion). Moreover, the time constants could be drastically reduced using a derivative sensor signal readout, allowing detection at the sampling rates desired for air quality monitoring applications.
24.	Santangelo, Maria Francesca, et al. (författare) Epitaxial graphene sensors combined with 3D printed microfluidic chip for heavy metals detection 2018 Ingår i: Proceedings. - Basel Switzerland : MDPI. - 2504-3900. ; 2:13 Tidskriftsartikel (refereegranskat)abstract Two-dimensional materials may constitute key elements in the development of a sensing platform where extremely high sensitivity is required, since even minimal chemical interaction can generate appreciable changes in the electronic state of the material. In this work, we investigate the sensing performance of epitaxial graphene on Si-face 4H-SiC (EG/SiC) for liquid-phase detection of heavy metals (e.g., Pb). The integration of preparatory steps needed for sample conditioning is included in the sensing platform, exploiting fast prototyping using a 3D printer, which allows direct fabrication of a microfluidic chip incorporating all the features required to connect and execute the Lab-on-chip (LOC) functions. It is demonstrated that interaction of Pb2+ ions in water-based solutions with the EG enhances its conductivity exhibiting a Langmuir correlation between signal and Pb2+ concentration. Several concentrations of Pb2+ solutions ranging from 125 nM to 500 µM were analyzed showing good stability and reproducibility over time.

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