Donatella Puglisi

Linköping University — Sweden

Engineering · Physical Sciences

17h-index1.1kcitations93works1.82yr avg
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Research Topics

Gas Sensing Nanomaterials and Sensors(48), Advanced Chemical Sensor Technologies(36), Analytical Chemistry and Sensors(22), Air Quality Monitoring and Forecasting(11), Graphene research and applications(8)

Publications93 total

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose
Advanced Intelligent Systems·2026Open Access
Machine learning-enhanced gas sensor technology identifies ovarian and endometrial cancer of all stages through plasma volatile organic compound patterns
EBioMedicine·2025· 1 citedOpen Access
Adaptive Machine Learning for Electronic Nose‐Based Forensic VOC Classification
Advanced Science·2025· 7 citedOpen Access
Toward self-learning sensor devices for precision molecular identification
Chem·2025· 1 cited
Electronic nose and machine learning for modern meat inspection
Journal Of Big Data·2025· 16 citedOpen Access
Computational insights into the adsorption of lung cancer biomarkers on graphene-based materials and interfacial phenomena
Applied Surface Science·2025· 3 citedOpen Access
A Feasibility Study Over a MWCNT-Coated Textile as NH3 Sensor
Lecture notes in electrical engineering·2025
Integration of Machine Learning for Next Generation Gas Sensor Technology
Lecture notes in electrical engineering·2025
Textile Impedentiometric Sensor for Gas Detection
Lecture notes in electrical engineering·2025
T4.3.4 - Machine Learning-Enhanced Odor Detection System as Next-Generation Forensic Technology
Lectures·2025Open Access
T5.2.1 - Early-stage Detection of Ovarian Cancer through E-nose Odor Profile Determination
Lectures·2025Open Access
Interplay of Textiles and Gold Nanoparticles for NH<sub>3</sub> Detection
2024
VOC Detection: Hope or Hype? A Preliminary Study to Overcome Many Challenges
2024· 1 cited
Questioning Breath: A Digital Dive into CO2 Levels
2024Open Access
Electronic Nose for Early Diagnosis of Ovarian Cancer
2024· 3 citedOpen Access
Machine Learning for Enhanced Operation of Underperforming Sensors in Humid Conditions
2024Open Access
Efficient Methane Monitoring with Low-Cost Chemical Sensors and Machine Learning
2024· 1 citedOpen Access
OT6.137 - Insights into Graphene-Based Sensors for VOC biomarkers of lung cancer: A DFT Perspective
Lectures·2024Open Access
Electronic Nose for Improved Environmental Methane Monitoring
Environmental Science & Technology·2023· 29 citedOpen Access
Measurements of Exhaled CO2 Through a Novel Telemedicine Tool
Lecture notes in electrical engineering·2023· 1 cited
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Frequent Co-authors

Anita Lloyd Spetz(16), Jens Eriksson(16), Mike Andersson(11), G. Bertuccio(9), Manuel Bastuck(8), Andreas Schütze(8), Ivan Shtepliuk(7), Alessio Buzzin(7), D. Caputo(7), Christian Bur(6), Guillem Domènech-Gil(6), G. de Cesare(6), Rositsa Yakimova(4), Silvia Casalinuovo(4), Daniela Caschera(4), Simone Quaranta(4), F. Federici(4), L. Torrisi(3), C. Lanzieri(3), Rositza Yakimova(3)