Manel del Valle

Scientist at Universitat Autonoma de Barcelona

Spain · BellaterraJoined May 2019

Summary

Manel del Valle is full professor in analytical chemistry at the Universitat Autonoma de Barcelona. He is a member of the Sensors & Biosensors Group where he is a specialist for instrumentation and electrochemical sensors. He has initiated there the research lines of sensor arrays and electronic tongues. Other interests of his work are the use of impedance measurements for sensor development, biosensors and the design of automated flow systems.

Work Experience (2)

Associate Professor

Universitat Autonoma de Barcelona

April 1997 - April 2018

Bellaterra

Full professor

Universitat Autonoma de Barcelona

April 2018 - Present

Bellaterra

Academic Studies (2)

PhD

Universitat Autonoma de Barcelona

January 1987 - January 1992

Analytical Chemistry

MSc

Universitat Autonoma de Barcelona

January 1986 - January 1987

Analytical Chemistry

Awards and achievements (4)

Young researcher prize

Spanish Society of Analytical Chemistry

July 1993

Prize to Distinguished young researcher

Generalitat de Catalunya

January 2003

ICREA Academia

ICREA

January 2010

ICREA Academia

ICREA

January 2015

Research areas of interest (7)

  • Analytical Chemistry
  • Measurements and Standards
  • Measurement Tools
  • Analyses / Test Facilities and Methods
  • Sensor Technology related to measurements
  • and 2 more

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Sensor Arrays and Electronic Tongue Systems

Manel del Valle
This paper describes recent work performed with electronic tongue systems utilizing electrochemical sensors. The electronic tongues concept is a new trend in sensors that uses arrays of sensors together with chemometric tools to unravel the complex information generated. Initial contributions and also the most used variant employ conventional ion selective electrodes, in which it is named potentiometric electronic tongue. The second important variant is the one that employs voltammetry for its operation. As chemometric processing tool, the use of artificial neural networks as the preferred data processing variant will be described. The use of the sensor arrays inserted in flow injection or sequential injection systems will exemplify attempts made to automate the operation of electronic tongues. Significant use of biosensors, mainly enzyme-based, to form what is already named bioelectronic tongue will be also presented. Application examples will be illustrated with selected study cases from the Sensors and Biosensors Group at the Autonomous University of Barcelona.

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