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Applied Sensor Science

The Applied Sensor Science unit has their research focus on the detection of gaseous, liquid or biological analytes with tailored sensors for various applications.

We are an international group of scientists with multidisciplinary backgrounds in physics, chemistry, biology, materials science, and engineering. Our areas of expertise include sensors, materials for sensing and sensor system integration including the use of 3D-printing technology. Our main research focus is on sensors for different applications spanning from indoor air quality control, ambient monitoring, emission control and preventive conservation of cultural heritage materials to bio-analytical sensing and diagnostic tools, food quality and safety, and sustainable development. We work closely together with several collaborators within both academia and industry at local, national and international levels.

Contact

Head of unit

Photo of Jens Eriksson

Jens Eriksson

Associate Professor, Docent

Staff

Mike Andersson

Principal Research Engineer, Docent

Photo of Jens Eriksson

Jens Eriksson

Associate Professor, Docent

Photo of Lida Khajavizadeh

Lida Khajavizadeh

Principal Research Engineer

Photo of Donatella Puglisi

Donatella Puglisi

Associate Professor, Docent

Publications

2024

Shun Kashiwaya, Yuchen Shi, Jun Lu, Davide Giuseppe Sangiovanni, Grzegorz Greczynski, Martin Magnuson, Mike Andersson, Johanna Rosén, Lars Hultman (2024) Synthesis of goldene comprising single-atom layer gold Nature Synthesis Continue to DOI
Silvia Casalinuovo, Alessio Buzzin, Antonio Mastrandrea, Marcello Barbirotta, Donatella Puglisi, Giampiero de Cesare, Domenico Caputo (2024) Questioning Breath: A Digital Dive into CO2 Levels
Guillem Domènech-Gil, Donatella Puglisi (2024) Machine Learning for Enhanced Operation of UnderperformingSensors in Humid Conditions
Jens Eriksson, Donatella Puglisi, Christer Borgfeldt (2024) Electronic Nose for Early Diagnosis of Ovarian Cancer
Guillem Domènech-Gil, Thanh Duc Nguyen, J. Jakob Wikner, Jens Eriksson, Donatella Puglisi, David Bastviken (2024) Efficient Methane Monitoring with Low-Cost Chemical Sensorsand Machine Learning

Publications

For a complete list of all our publications visit Diva.

Education

Education

Teaching

Undergraduate courses

•TFMT14 – Measurement Technology 
•TFMT19 – Chemical Sensor Systems 
•TFTB38 – Imaging and ubiquitous biosensing  
•TFYA46 – CDIO Year 1  
•TFYA99 – CDIO Year 5 
•8FG074 – Sustainable Development

PHD courses

•6FIFM66 – Leadership Principles and Agile Management 
•Scanning Probe Microscopy

Thesis projects

We always welcome interested students to do a diploma work with us or together with our collaborators. Feel free to contact us to discuss your own exiting idea or the projects we currently offer.

Our topics usually include different sensor systems (SiC-FETs, 2D-material based sensors and metal-oxide nanoparticle based sensors), various applications fields (air quality monitoring, combustion control, water quality monitoring, egg sexing...) and other related research questions.

Collaboration and Projects

Notable projects

H2020-NMBP-ST-IND – SensMat 2019-2022 

VINNOVA – Cloud-Based Indoor Climate Station Embedded in Active Plant Screen 2019-2021 

COST Action CA17136 – INDAIRPOLLNET 2018-2022 

VINNOVA – 2018-03308 Sensor for faster, cheaper, and easier determination of dioxins in the environment 2018-2019 

H2020-MSCA-ITN – FoodSmartphone 2017-2020 

SFF GMT14-0077 – Epitaxial graphene for metrology, sensors and electronics 2016-2022

SFF RMA15-0024 – New two-dimensional systems from growth to applications 2015-2021 

EU FP7 – SENSIndoor 2014-2016 

COST Action TD1105 – EuNetAir 2012-2016 

Collaborations

The unit has many local, national and international collaborations from small projects to large scale EU projects. Our main collaborators are:

Chalmers University, Sweden – Department of Microtechnology and Nanoscience

CNR, Italy – National Research Council

ENEA-Brindisi, Italy

Max IV Lund

Università "La Sapienza", Italy

University of Brescia, Italy

University of Oulu, Finland – Microelectronics Research Unit

Saarland University, Germany – Lab for Measurement Technology

DANSiC AB, Sweden

Envic-Sense AB, Sweden

Ford in Dearborn, USA

Graphensic AB, Sweden

SAAB AB, Sweden

SenSiC AB, Sweden

Sensorbee, Sweden

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