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  • The development of Protein microarray biosensor based on imaging ellipsometry
    Author:   | Date:2006-07-27   | Click Rate:    | 【Close
    The protein microarry biosensor based on imaging ellipsometry and its experimental system has been successfully developed by Gang Jin’s group in the National Microgravity Lab, Institute of Mechanics, CAS. By the combination of microarray with multiprotein activity, the specific binding of biomolecular, and the imaging ellipsometry with high spatial resolution, a new label-free technique is provided for protein analysis. The characters of the protein microarray biosensor are as follows: the target molecular is detected by a single label free reagent so that the biomolecular activity could be kept very well and the non-specific binding is effectively decreased, which improve the detectable sensitivity of the biomolecular interaction; real-time and static detection are performed with the merit of distinguishing a singularity caused by contamination; the protein solution delivery, the fabrication of the protein microarray, and the interaction of protein can be accomplished by a microfluidic protein microarray reactor system. When 48 cell array of the microfluidic system is attached to the substrate surface, 48 individual cells are formed and the substrate surface is patterned into 48 elliptic cells in array, which 48 kinds of sample or 48 proteins in one or several samples can be detected simultaneously which largely reduce the measure time and the sample consumption. Furthermore, the cost is decreased a lot since the microfluidic system can be used repeatedly. As an example, the comparison between the enzyme linked immunosorbent assay (ELISA), the protein microarray biosensor for the test of hepatitis B was shown. One day was needed with ELISA, but only 40 minutes with the biosensor system. Moreover, several milliliter blood sample was required for ELISA, but ten micro-liter level for the biosensor system. For the property of the high throughput, the system can be applied in the study of protein and proteomics, the detection of disease marker, and the drug screening, etc. It has been used for the biomedical applications such as the test of hepatitis B, the detection of tumor markers, interactions between antigen and antibody with low sample volume, the identification of SARS antibody drugs, the detection of virus, and the marker detection of acute myocardial infarction. These show a potential for further applications in biomedicine.
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