Advanced search
Start date
Betweenand

Coloured patterns based on bioinspired photonic crystals for mechanocromic applications

Grant number: 20/02938-0
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): June 01, 2020
Effective date (End): May 31, 2022
Field of knowledge:Physical Sciences and Mathematics - Physics - Condensed Matter Physics
Principal researcher:Osvaldo Novais de Oliveira Junior
Grantee:Lucas Daniel Chiba de Castro
Home Institution: Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated research grant:18/22214-6 - Toward a convergence of technologies: from sensing and biosensing to information visualization and machine learning for data analysis in clinical diagnosis, AP.TEM

Abstract

Photonic Crystals (PCs) are periodically organized dielectric nanomaterials that have a Photonic Band Gap (PBG) superimposed on the visible light regime. The simplest strategy for preparing PCs is the self-organization of spherical monodisperse nanoparticles via sedimentation of colloidal suspensions. Despite having vivid structural colors, this class of materials is fragile, and only flat films can be produced with natural sedimentation. In this project, we will develop a methodology to create arbitrary patterns, with personalized geometries obtained by direct ink writing with photocurable PUA resin on PC films. These films will be prepared by sedimentation of Polystyrene (PS), Poly(Methyl Methacrylate) (PMMA) and Poly (Ethyl Acrylate) (PEA) on an elastane substrate. The geometries must have mechanical stability and elasticity for mechanochromatic applications, and calibration curves will be obtained to estimate the degree of deformation with changes in the reflected color. The preparation of arbitrary standards expands the applicability of mechanochromatic materials that, until today, are mostly used in optical sensors to prevent damage to structures. Once responsive to mechanical stimuli, arbitrary standards can be used in optical sensors in the health sector and for printing mechanochromatic patterns for the fashion industry. (AU)

News published in Agência FAPESP Newsletter about the scholarship:
Articles published in other media outlets (0 total):
More itemsLess items
VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SOARES, JULIANA COATRINI; SOARES, ANDREY COATRINI; RODRIGUES, VALQUIRIA CRUZ; OITICICA, PEDRO RAMON ALMEIDA; RAYMUNDO-PEREIRA, PAULO AUGUSTO; BOTT-NETO, JOSE LUIZ; BUSCAGLIA, LORENZO A.; DE CASTRO, LUCAS DANIEL CHIBA; RIBAS, LUCAS C.; SCABINI, LEONARDO; BRAZACA, LAIS C.; CORREA, DANIEL S.; MATTOSO, LUIZ HENRIQUE C.; DE OLIVEIRA, MARIA CRISTINA FERREIRA; DE CARVALHO, ANDRE CARLOS PONCE LEON FERREIRA; CARRILHO, EMANUEL; BRUNO, ODEMIR M.; MELENDEZ, MATIAS ELISEO; OLIVEIRA JR, OSVALDO N. Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques. MATERIALS CHEMISTRY FRONTIERS, v. 5, n. 15, p. 5658-5670, AUG 7 2021. Web of Science Citations: 0.
SOARES, JULIANA COATRINI; SOARES, ANDREY COATRINI; RODRIGUES, VALQUIRIA CRUZ; OITICICA, PEDRO RAMON ALMEIDA; RAYMUNDO-PEREIRA, PAULO AUGUSTO; BOTT-NETO, JOSE LUIZ; BUSCAGLIA, LORENZO A.; DE CASTRO, LUCAS DANIEL CHIBA; RIBAS, LUCAS C.; SCABINI, LEONARDO; BRAZACA, LAIS C.; CORREA, DANIEL S.; MATTOSO, LUIZ HENRIQUE C.; DE OLIVEIRA, MARIA CRISTINA FERREIRA; DE CARVALHO, ANDRE CARLOS PONCE LEON FERREIRA; CARRILHO, EMANUEL; BRUNO, ODEMIR M.; MELENDEZ, MATIAS ELISEO; OLIVEIRA JR, OSVALDO N. Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques. MATERIALS CHEMISTRY FRONTIERS, JUN 2021. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.