• Molecular & Cellular Toxicology
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• v.3 no.sup4
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• pp.37.2-37.2
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• 2007

• Proceedings of the Microbiological Society of Korea Conference
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• 2007.05a
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• pp.144-144
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• 2007

• 순환기질환의공학회:학술대회논문집
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• 2002.05a
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• pp.85-100
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• 2002

• Proceedings of the Korean Society of Potoscience Conference
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• 2002.06a
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• pp.32-32
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• 2002

• The Korea Genome Conference
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• 2005.09a
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• pp.92-92
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• 2005

• 한국생물공학회:학술대회논문집
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• 2003.10a
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• pp.692-695
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• 2003

In this work immobilization technique of enzymes onto the magnetic nanoparticles has been developed for biochip applications. Glucose oxidase and lactate dehydrogenase were immobilized on magnetic nanoparticles via cyanamide and glutaraldehyde. Immobilized enzymes had good operational and storage stability The immobilized glucose oxidase and lactate dehydrogenase were characterized by some factors(pH, temperature, and components of buffer solution etc) which affect the activity, In order to characterize the magnetic nanoparticles, we have used transmission electron microscopy(TEM), X-ray diffraction(XRD) and Fourier transform infrared(FTIR).

• Proceedings of the KIEE Conference
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• 2003.10a
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• pp.49-52
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• 2003

Single crystalline silicon (SCS) was adopted for a reliable micromirror array of biochip fabrication applications. SCS has excellent mechanical properties and smooth surface, which is the best material for micromirror devices. The mirror array has $16{\times}16$ micromirrors and each mirror has a $120{\mu}m{\times}100{\mu}m$ reflective surface. The micromirror has simple torsional beam springs and electrostatic force was used for driving. The designed tilting angle was $9.6^{\circ}$, and the tilting angles were measured according to applied voltages. The surface roughness was measured by a laser profiler. The response time was measured using He-Ne laser and position sensitive diode (PSD), and the lifetime was checked for reliability proof.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.1
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• pp.24-28
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• 2005

A micromachined biochip with a three dimensional silicon chamber was developed for the construction of biosensors. Anisotropic etching was used fur the formation of the chamber on the p-type silicon wafer(100) and then was glued to the Pyrex glass bottom-substrate with pre-deposited platinum electrode. The electrochemical characterization of its Pt electrode and Ag/AgCl reference electrode was investigated.

• Proceedings of the KIEE Conference
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• 2000.07c
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• pp.2257-2259
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• 2000

This paper reports on the design, fabrication and driving experiment of micro mirror array(MMA) for lithography process to apply to biochip fabrication Photolithography technology is applied to activate specific area on the surface of modified glass surface, DNA monomers are bound on the activated area of the glass surface. After repeat of DNA monomer synthesizing process, DNA single strand probes could be solid-synthesized on the glass substrate. Without using photomask, photolithography process is tried using micro mirror array(MMA). Photomask or mask alignment is not required in maskless photolithography process using micro mirror array.

• Journal of Preventive Medicine and Public Health
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• v.35 no.2
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• pp.83-91
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• 2002

Bioinformatics is a rapidly emerging field of biomedical research. A flood of large-scale genomic and postgenomic data means that many of the challenges in biomedical research are now challenges in computational sciences. Clinical informatics has long developed methodologies to improve biomedical research and clinical care by integrating experimental and clinical information systems. The informatics revolutions both in bioinformatics and clinical informatics will eventually change the current practice of medicine, including diagnostics, therapeutics, and prognostics. Postgenome informatics, powered by high throughput technologies and genomic-scale databases, is likely to transform our biomedical understanding forever much the same way that biochemistry did a generation ago. The paper describes how these technologies will impact biomedical research and clinical care, emphasizing recent advances in biochip-based functional genomics and proteomics. Basic data preprocessing with normalization, primary pattern analysis, and machine learning algorithms will be presented. Use of integrated biochip informatics technologies, text mining of factual and literature databases, and integrated management of biomolecular databases will be discussed. Each step will be given with real examples in the context of clinical relevance. Issues of linking molecular genotype and clinical phenotype information will be discussed.