Development of hybrid electrospun nanofibers for sensor applications aiming at detecting contaminants in real samples

• Grant number: 24/14742-3
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: September 01, 2024
• End date: February 28, 2025
• Field of knowledge: Engineering - Materials and Metallurgical Engineering - Nonmetallic Materials
• Principal Investigator: Daniel Souza Corrêa
• Grantee: Pedro Ramon Almeida Oiticica
• Host Institution: Embrapa Instrumentação Agropecuária. Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). Ministério da Agricultura, Pecuária e Abastecimento (Brasil). São Carlos , SP, Brazil
• Associated research grant: 18/22214-6 - Towards a convergence of technologies: from sensing and biosensing to information visualization and machine learning for data analysis in clinical diagnosis, AP.TEM

Abstract

Polymeric nanofibers produced by electrospinning and solution blow spinning are materials with attractive properties due to their special characteristics such as high surface area/volume ratio, mechanical flexibility and possibility of modification (surface or volumetric) with different materials, making it possible to obtain hybrid nanofibers functional. These nanofibers have great potential for use in sensors and biosensors for detecting analytes of agricultural and environmental interest. This project aims to develop composite and hybrid nanofibers, produced by electrospinning and solution blow spinning techniques, modified with nanomaterials (eg graphene and its derivatives, carbon nanotubes, metallic nanoparticles and semiconductor oxides, etc.), and/or biomolecules (such as enzymes, etc.). These functional hybrid nanofibers should be deposited on different electrodes (preferably low-cost and flexible ones) and coupled to wireless reading systems, aiming at the development of portable sensors and biosensors for detecting analytes of agricultural and environmental interest.

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)

OITICICA, PEDRO R. A.; ANGELIM, MONARA K. S. C.; SOARES, JULIANA C.; SOARES, ANDREY C.; PROENCA-MODENA, JOSE L.; BRUNO, ODEMIR M.; OLIVEIRA JR, OSVALDO N.. Using Machine Learning and Optical Microscopy Image Analysis of Immunosensors Made on Plasmonic Substrates: Application to Detect the SARS-CoV-2 Virus. ACS SENSORS, v. N/A, p. 12-pg., 2025-02-17. (24/14742-3, 18/22214-6, 20/16030-0)