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Engineering nanoparticles surface for biosensing: “Chemical noses” to detect and identify proteins, bacteria and cancerous cells

Oscar Ramon Miranda-Sanchez, University of Massachusetts Amherst

Abstract

Rapid and sensitive detection of biomolecules is an important issue in nanomedicine. Many disorders are manifested by changes in protein levels of serum and other biofluids. Rapid and effective differentiation between normal and cancerous cells is an important challenge for the diagnosis and treatment of tumor. Likewise, rapid and effective identification of pathogens is a key target in both biomedical and environmental monitoring. Most biological recognition processes occur via specific interactions. Gold nanoparticles (AuNP s) feature sizes commensurate with biomacromolecules, coupled with useful physical and optical properties. A key issue in the use of nanomaterials is controlling the interfacial interactions of these complex systems. Modulation of these physicochemical properties can be readily achieved by engineering nanoparticles surface. Inspired by the idea of mimicking nature, a convenient, precise and rapid method for sensing proteins, cancerous cells and bacteria has been developed by overtaking the superb performance of biological olfactory systems in odor detection, identification, tracking, and location. On the fundamental side, an array-based/‘chemical nose’ sensor composed of cationic functionalized AuNPs as receptors and anionic fluorescent conjugated polymers or green fluorescent proteins or enzyme/substrates as transducers that can properly detect and identify proteins, bacteria, and cancerous cells has been successfully fabricated.

Subject Area

Organic chemistry|Nanotechnology|Biophysics

Recommended Citation

Miranda-Sanchez, Oscar Ramon, "Engineering nanoparticles surface for biosensing: “Chemical noses” to detect and identify proteins, bacteria and cancerous cells" (2011). Doctoral Dissertations Available from Proquest. AAI3445171.
https://scholarworks.umass.edu/dissertations/AAI3445171

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