Monitoring the Surface Chemistry of Functionalized Nanomaterials with a Microfluidic Electronic Tongue

Autor(es):Mostrar menos -

Shimizu, Flavio M. ^[1] ; Pasqualeti, Anielli M. ^[2] ; Todao, Fagner R. ^[2] ; de Oliveira, Jessica F. A. ^{[3, 2, 4]} ; Vieira, Luis C. S. ^[2] ; Goncalves, Suely P. C. ^[2] ; da Silva, Gabriela H. ^{[2, 5]} ; Cardoso, Mateus B. ^{[3, 2, 4]} ; Gobbi, Angelo L. ^[2] ; Martinez, Diego S. T. ^{[2, 5]} ; Oliveira Jr, Osvaldo N. ; Lima, Renato S. ^{[3, 2]}

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Fis Sao Carlos, BR-13560970 Sao Carlos, SP - Brazil

^[2] Ctr Nacl Pesquisa Energia & Mat, Lab Nacl Nanotecnol, BR-13083970 Campinas, SP - Brazil

^[3] Univ Estadual Campinas, Inst Quim, BR-13083970 Campinas, SP - Brazil

^[4] Ctr Nacl Pesquisa Energia & Mat, Lab Nacl Luz Sincrotron, BR-13083970 Campinas, SP - Brazil

^[5] Univ Sao Paulo, Ctr Energia Nucl Agr, BR-13416000 Piracicaba, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: ACS SENSORS; v. 3, n. 3, p. 716-726, MAR 2018.
• Citações Web of Science: 8

Resumo

Advances in nanomaterials have led to tremendous progress in different areas with the development of high performance and multifunctional platforms. However, a relevant gap remains in providing the mass-production of these nanomaterials with reproducible surfaces. Accordingly, the monitoring of such materials across their entire life cycle becomes mandatory to both industry and academy. In this paper, we use a microfluidic electronic tongue (e-tongue) as a user-friendly and cost-effective method to classify nanomaterials according to their surface chemistry. The chip relies on a new single response e-tongue with association of capacitors in parallel, which consisted of stainless steel microwires coated with SiO2, NiO2, Al2O3, and Fe2O3 thin films. Utilizing impedance spectroscopy and a multidimensional projection technique, the chip was sufficiently sensitive to distinguish silica nanoparticles and multiwalled carbon nanotubes dispersed in water in spite of the very small surface modifications induced by distinct functionalization and oxidation extents, respectively. Flow analyses were made acquiring the analytical readouts in a label-free mode. The device also allowed for multiplex monitoring in an unprecedented way to speed up the tests. Our goal is not to replace the traditional techniques of surface analysis, but rather propose the use of libraries from e-tongue data as benchmark for routine screening of modified nanomaterials in industry and academy. (AU)

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