Electronic Tongue System Based on an Array of Conducting Polymers and MoS₂ for the Classification of Bisphenol A Based on Neural Networks Approach

When and Where

Nov 30, 2017
8:00pm - 10:00pm

Hynes, Level 1, Hall B

Presenter(s)

Wania Christinelli

Murilo Facure

Flavio Shimizu

Ricardo Cerri

Osvaldo Oliveira Jr.

Daniel Correa

Luiz Henrique Mattoso

Co-Author(s)

Wania Christinelli¹,Murilo Facure^1,2,Flavio Shimizu³,Ricardo Cerri⁴,Osvaldo Oliveira Jr.³,Daniel Correa^1,2,Luiz Henrique Mattoso¹

Embrapa Instrumentation¹,Federal University of São Carlos²,University of Sao Paulo³, Federal University of São Carlos⁴

Keywords

polymer | self-assembly

Symposium Organizers

Venkatesan Renugopalakrishnan, Northeastern University

Pulickel Ajayan, Rice University

Catherine Klapperich, Boston University

Dorian Liepmann, University of California, Berkeley

Symposium Support

Anarghya Innovations and Technology Private Limited
Medtronic
MilliporeSigma (Sigma-Aldrich Materials Science)
Thermo Fisher Scientific

MRS Invitation to Publish All authors are invited to submit articles based on their 2017 MRS Fall Meeting presentations to journals in the MRS portfolio. (www.mrs.org/publications-news) Papers submitted and accepted for publication in MRS Advances (www.mrs.org/mrs-advances) will be available as symposium collections. Visit the MRS/Cambridge University Press Publications Booth #100 in the Exhibit Hall to learn more, including MRS Advances print options available at special rates during the meeting week only.

Session Chairs

Nasim Anabi

Charles Mace

2017 MRS Fall Meeting

Electronic Tongue System Based on an Array of Conducting Polymers and MoS2 for the Classification of Bisphenol A Based on Neural Networks Approach