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FUNCTIONALIZED MICROFLUIDIC SENSORS WITH BIOPOLYMER NANOSTRUCTURED THIN FILMS THROUGH THE LAYER-BY-LAYER TECHNIQUE

Grant number: 11/06906-6
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): July 01, 2012
Effective date (End): April 30, 2013
Field of knowledge:Physical Sciences and Mathematics - Chemistry - Analytical Chemistry
Principal Investigator:Lauro Tatsuo Kubota
Grantee:Fernando da Cruz Vasconcellos
Home Institution: Instituto de Química (IQ). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Nanotechnology related techniques play an important role in the current technical-scientific areas. Layer-by-layer (LbL) deposition is one of these methods, which is simple yet versatile, and may be utilized to build sophisticated multilayered nanostructures thin films and functionalize surfaces. It finds application in a variety of areas, including bioengineering, medicine, chemistry, chemical engineering, material science and engineering. The current project seeks to functionalize microfluidic analytical devices for diagnostics of diseases with LbL structures composed of biopolymers and bioactive molecules. The biopolymers chitosan, hyaluronic acid, alginate and carboximethylcellulose and the bioactive enzymes glucose oxidase, uricase and urease will be employed to investigate transport phenomena of the flow of the samples and its constituents insides the microfluidic channels of the biosensor device. The objective is to associate knowledge on models that describe the flow in nano/microfluidic channels coated with the LbL technique. The LbL technique is used to modify the surface of these devices, through the multilayer film coating, to optimize the sensor properties. The multilayer films aim to improve the wettability of the microfluidic channels, the flow of the samples within these channels, and the immobilization and preservation of the enzymes. The idea is to produce sensors that require minimal amount of material for analysis. As an example, the biosensor will be able to detect from a single blood drop, levels of glucose, uric acid and urea in the blood. This process may also be extended to diagnose diseases and environmental monitoring.

Scientific publications (5)
(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)
VASCONCELLOS, FERNANDO DA CRUZ; YETISEN, ALI K.; MONTELONGO, YUNUEN; BUTT, HAIDER; GRIGORE, ALEXANDRA; DAVIDSON, COLIN A. B.; BLYTH, JEFF; MONTEIRO, MICHAEL J.; WILKINSON, TIMOTHY D.; LOWE, CHRISTOPHER R. Printable Surface Holograms via Laser Ablation. ACS PHOTONICS, v. 1, n. 6, p. 489-495, JUN 2014. Web of Science Citations: 30.
YETISEN, ALI K.; MARTINEZ-HURTADO, J. L.; GARCIA-MELENDREZ, ANGEL; VASCONCELLOS, FERNANDO DA CRUZ; LOWE, CHRISTOPHER R. A smartphone algorithm with inter-phone repeatability for the analysis of colorimetric tests. SENSORS AND ACTUATORS B-CHEMICAL, v. 196, p. 156-160, JUN 2014. Web of Science Citations: 130.
YETISEN, ALI K.; MONTELONGO, YUNUEN; VASCONCELLOS, FERNANDO DA CRUZ; MARTINEZ-HURTADO, J. L.; NEUPANE, SANKALPA; BUTT, HAIDER; QASIM, MALIK M.; BLYTH, JEFFREY; BURLING, KEITH; CARMODY, J. BRYAN; EVANS, MARK; WILKINSON, TIMOTHY D.; KUBOTA, LAURO T.; MONTEIRO, MICHAEL J.; LOWE, CHRISTOPHER R. Reusable, Robust, and Accurate Laser-Generated Photonic Nanosensor. Nano Letters, v. 14, n. 6, p. 3587-3593, JUN 2014. Web of Science Citations: 52.
YETISEN, ALI K.; BUTT, HAIDER; VASCONCELLOS, FERNANDO DA CRUZ; MONTELONGO, YUNUEN; DAVIDSON, COLIN A. B.; BLYTH, JEFF; CHAN, LEON; CARMODY, J. BRYAN; VIGNOLINI, SILVIA; STEINER, ULLRICH; BAUMBERG, JEREMY J.; WILKINSON, TIMOTHY D.; LOWE, CHRISTOPHER R. Light-Directed Writing of Chemically Tunable Narrow-Band Holographic Sensors. ADVANCED OPTICAL MATERIALS, v. 2, n. 3, p. 250-254, MAR 2014. Web of Science Citations: 54.
TSANGARIDES, CONSTANTINOS P.; YETISEN, ALI K.; VASCONCELLOS, FERNANDO DA CRUZ; MONTELONGO, YUNUEN; QASIM, MALIK M.; WILKINSON, TIMOTHY D.; LOWE, CHRISTOPHER R.; BUTT, HAIDER. Computational modelling and characterisation of nanoparticle-based tuneable photonic crystal sensors. RSC ADVANCES, v. 4, n. 21, p. 10454-10461, 2014. Web of Science Citations: 34.

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