Glucose sensing using 3D array of reproducible surface enhanced Raman scattering substrates
20 Aug 2009-Proceedings of SPIE (International Society for Optics and Photonics)-Vol. 7397, pp 95-104
TL;DR: In this paper, a new class of SERS substrate with ordered 3D nanostructures fabricated on silicon wafer by deep UV lithography is reported, followed by bi-metallic coating of silver and gold.
Abstract: Surface Enhanced Raman Scattering (SERS) technique is used as an indispensable and sensitive modality for bio-sensing
due to its ability to distinguish the analyte molecules based on their distinct 'fingerprint' spectra. One of the most
promising SERS substrates for biosensing was fabricated by coating noble metal film over orderly packed nanospheres.
However, the major challenge in developing such a sensor is to achieve reproducible SERS substrate. Here, we report a
new class of SERS substrate with ordered 3D nanostructures fabricated on silicon wafer by deep UV lithography
technique followed by bi-metallic coating of silver and gold. Compared to the substrate fabricated by conventional
nanosphere lithography, this approach allows better control of the nanostructures, which in turn gives uniform surface
roughness for the metal film to provide adequate SERS enhancement with high reproducibility. Significance of this
substrate for biomedical application was demonstrated by glucose sensing under physiologically relevant conditions.
Partitioning and localization of glucose molecules within the first few nanometers of active SERS substrate was achieved
by a self assembled monolayer (SAM) on the surface of substrate.
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TL;DR: This article discusses and proposes several strategies for visualization of physiological and pathological changes that affect pancreas and adipose tissue as a result of the development of metabolic diseases.
Abstract: Metabolic syndrome is a fast growing public health burden for almost all the developed countries and many developing nations. Despite intense efforts from both biomedical and clinical scientists, many fundamental questions regarding its aetiology and development remain unclear, partly due to the lack of suitable imaging technologies to visualize lipid composition and distribution, insulin secretion, β-cell mass and functions in vivo. Such technologies would not only impact on our understanding of the complexity of metabolic disorders such as obesity and diabetes, but also aid in their diagnosis, drug development and assessment of treatment efficacy. In this article we discuss and propose several strategies for visualization of physiological and pathological changes that affect pancreas and adipose tissue as a result of the development of metabolic diseases.
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