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Irene Taurino

dblp:60/11470 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0003-4751-6250ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › clinical diagnosis
point-of-care diagnostics
0.112012
Integrated biosensors for personalized medicine · DAC 2012
Medical and health informatics
precision medicine
0.112012
Integrated biosensors for personalized medicine · DAC 2012
Integrated circuit design › analog and mixed-signal circuits
mixed-signal circuit design
0.012012
Integrated biosensors for personalized medicine · DAC 2012

Methods — techniques the papers use, named apart from their topics

enzyme immobilization · 0.3carbon nanotube functionalization · 0.3
YearPublicationVenuePosition
2012 Integrated biosensors for personalized medicine
abstract
Biosensors are heterogenous devices, incorporating biological structures combined with electronics, optical or other readout systems. They have been developed for detecting different biomolecules and/or pathogens and represent a key technology for advanced and point-of-care diagnostics as well as patient monitoring. In this paper we present a systematic classification of biosensors described in literature, particularly focusing on nanotechnology-based sensing. Then, we present our approach to develop electrochemical biosensors for measuring metabolites and anticancer drugs, based on a platform for multiple target detection. This platform is modular and achieves a clear separation between the chemical and the electrical components, thus easing design and manufacturing. It shows superior performance thanks to the excellent properties of electron transfer and selectivity showed by enzymes immobilized on carbon nanotubes.
Giovanni De Micheli, Cristina Boero, Camilla Baj-Rossi, Irene Taurino, Sandro Carrara
DAC4