Chemical sensors based on funstionalized microcantilever arrays

P. G. Datskos; N. V. Lavrik; M. J. Sepaniak; P. Dutta

doi:10.1109/ICSENS.2007.355604

Chemical sensors based on funstionalized microcantilever arrays

P. G. Datskos, N. V. Lavrik, M. J. Sepaniak, P. Dutta

Nanofabrication Research Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Over the past three decades there have been spectacular developments in micro-electro-mechanical (MEMS) systems. As a result, an innovative family of chemical and biological sensors has emerged. While MEMS represents a diverse family of designs, devices with simple cantilever configurations are especially attractive as transducers for chemical and biological sensors. In this work we discuss chemical sensors based on cantilever arrays functionalized with synthetic responsive phases. In order to analyze multiplexed responses of the cantilever array, we used an artificial neural network (ANN) algorithm. This approach allowed us not only to recognize the individual analytes and binary mixtures, but also to determine the concentration of individual components in a mixture.

Original language	English
Title of host publication	2006 5th IEEE Conference on Sensors
Pages	862-867
Number of pages	6
DOIs	https://doi.org/10.1109/ICSENS.2007.355604
State	Published - 2006
Event	2006 5th IEEE Conference on Sensors - Daegu, Korea, Republic of Duration: Oct 22 2006 → Oct 25 2006

Publication series

Name	Proceedings of IEEE Sensors

Conference

Conference	2006 5th IEEE Conference on Sensors
Country/Territory	Korea, Republic of
City	Daegu
Period	10/22/06 → 10/25/06

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10.1109/ICSENS.2007.355604

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title = "Chemical sensors based on funstionalized microcantilever arrays",

abstract = "Over the past three decades there have been spectacular developments in micro-electro-mechanical (MEMS) systems. As a result, an innovative family of chemical and biological sensors has emerged. While MEMS represents a diverse family of designs, devices with simple cantilever configurations are especially attractive as transducers for chemical and biological sensors. In this work we discuss chemical sensors based on cantilever arrays functionalized with synthetic responsive phases. In order to analyze multiplexed responses of the cantilever array, we used an artificial neural network (ANN) algorithm. This approach allowed us not only to recognize the individual analytes and binary mixtures, but also to determine the concentration of individual components in a mixture.",

author = "Datskos, {P. G.} and Lavrik, {N. V.} and Sepaniak, {M. J.} and P. Dutta",

year = "2006",

doi = "10.1109/ICSENS.2007.355604",

language = "English",

isbn = "1424403766",

series = "Proceedings of IEEE Sensors",

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note = "2006 5th IEEE Conference on Sensors ; Conference date: 22-10-2006 Through 25-10-2006",

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AU - Datskos, P. G.

AU - Lavrik, N. V.

AU - Sepaniak, M. J.

AU - Dutta, P.

PY - 2006

Y1 - 2006

N2 - Over the past three decades there have been spectacular developments in micro-electro-mechanical (MEMS) systems. As a result, an innovative family of chemical and biological sensors has emerged. While MEMS represents a diverse family of designs, devices with simple cantilever configurations are especially attractive as transducers for chemical and biological sensors. In this work we discuss chemical sensors based on cantilever arrays functionalized with synthetic responsive phases. In order to analyze multiplexed responses of the cantilever array, we used an artificial neural network (ANN) algorithm. This approach allowed us not only to recognize the individual analytes and binary mixtures, but also to determine the concentration of individual components in a mixture.

AB - Over the past three decades there have been spectacular developments in micro-electro-mechanical (MEMS) systems. As a result, an innovative family of chemical and biological sensors has emerged. While MEMS represents a diverse family of designs, devices with simple cantilever configurations are especially attractive as transducers for chemical and biological sensors. In this work we discuss chemical sensors based on cantilever arrays functionalized with synthetic responsive phases. In order to analyze multiplexed responses of the cantilever array, we used an artificial neural network (ANN) algorithm. This approach allowed us not only to recognize the individual analytes and binary mixtures, but also to determine the concentration of individual components in a mixture.

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DO - 10.1109/ICSENS.2007.355604

M3 - Conference contribution

AN - SCOPUS:50149093500

SN - 1424403766

SN - 9781424403769

T3 - Proceedings of IEEE Sensors

SP - 862

EP - 867

BT - 2006 5th IEEE Conference on Sensors

T2 - 2006 5th IEEE Conference on Sensors

Y2 - 22 October 2006 through 25 October 2006

ER -

Chemical sensors based on funstionalized microcantilever arrays

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