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            | Research Areas |  
            | 1. Developing novel biosensors based on nanostructured materials |  
            | Nanostructured materials such as nanoparticles,  nanopores, carbon nanotubes, and nanowires are bringing unprecedented  opportunities to biology. Their nanoscale dimensions allow them to interact  intimately with and spy on the nanoscopic world of biomolecules and molecular  machineries. We develop nanoelectronic biosensors based on graphene, carbon nanotubes and  silicon nanowires which can detect biomolecules with exquiste sensitivity, and can interface with living cells for the detection of cellular  activities, such as, biomolecular release and ion channel activities. |  
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 | Graphene materials are used to develop  novel sensors for the detection of biomolecules, pathogens, ions, and cell functions (Chemical Society Reviews,  41:2283-2307, 2012) |  
                | Perfectly aligned arrays of long silicon nanowires fabricated using “top-down” CMOS compatible approach  and their ability for real-time extracellular recording of cellular  bioelectricity are presented. The technique enables non-invasive, highly  sensitive, high throughput and long term electrophysiology measurements at  single cell level or from tissue. (Small, 5(2):208-212, 2009) |  |  
                |  | Glycosylated  Nanoelectric biosensors: A strategy is devised to functionalize carbon nanotubes with  bioactive monosaccharides. The glycosylated nanotube network can biocompatibly interface  with living cells and electronically detect biomolecular release from them with  high temporal resolution, highly sensitivity and simple detection scheme. (Angewandte Chemie International Edition, 48:2723-2726, 2009) |  
                | Nanoelectronic biosensors based on readily fabricated networks   of single-walled carbon nanotubes (SWNT-net) were used to non-invasively detect   cellular bioelectrical signals. This nanotube approach promises applications in   both fundamental research and high-throughput drug screening targeting on ion   channels. (Advanced Materials, 22:3199-3203, 2010) |  |    |  
            | 2. Studies on exocytosis  (or regulated cell secretion) and adipobiology   |  
            | We study the mechanisms of exocytosis, the fundamental  process underlying hormone secretion from endocrine cells and neurotransmitter  secretion from neurons, using integative methods including bio-imaging (confocal microscopy,  total internal reflection fluorescence microscopy, Ca imaging),  electrochemistry (micro-carbon-fiber amperometry), and biophysics  (patch-clamp), and nanotechnologies (“Micro and Nanotechnologies for Study of Cell  Secretion”, Analytical Chemistry, 83(12):4393-4406, 2011). More recently, we focus on investigating  the regulated secretion of adipokines from adiocytes, and their involvements in metabolism and metabolic diseases (e.g., obesity and diabetes). |  
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                |  | TIRFM is  able to resolve individual vesicles in the subplasmalemmal region and track their  random movement. |  
                
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                    Micro-carbon-fiber  amperometry can electrochemically detect quantal release from  single secretory vesicle (50-100 nm) and reveal the details of the fusion  kinetics. |  |  
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                    Apelin secretion and expression of apelin receptors in adipocytes are differentially reguatled by angiotensin type 1 and type 2 receptors (Molecular and Cellular  Endocrinology, 351(2):296-305, 2012 ) |    |  
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               3. Applying nanomaterilas for energy storage and conversion |  
            | We synthesize and functionalize nanomaterials (e.g., graphene, carbon nanotubes) and use them for energy applications, such as, supercapacitor, biofuel cells, and fuel cells. |  
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                    Polyaniline hybridized 3D graphene foam serves as a  novel monolithic anode for high-performance microbial fuel cells. (ACS Nano, 6(3), 2394-2400, 2012) |  |  
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                    A  novel 3D graphene – Co3O4 hybrid was demonstrated and  used for high-performance supercapacitor and enzymeless glucose detection (ACS Nano, 2012) |  |    |  |