The focus of this work was on designing a label-free DNA biosensor based on a super-sandwich assay using the electrochemical impedance spectroscopy technique. For this purpose, we designed a signal-up configuration whose linker probes could hybridize with two regions of the target DNA. In this configuration, the presented target DNA would effectively decrease the electron transfer, which would improve the sensitivity of the sensor. Ultimately, we employed gel electrophoresis to further confirm the formation of the proposed super-sandwich structure.

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In order to assess the condition of smart grid equipment in real time, a method of information processing for condition monitoring based on rough set theory is presented. The condition monitoring decision table is established by collecting different kinds of information of intelligent circuit breaker which is regarded as the condition attribute set. Then the approximate minimum reduction is found after using the discernible matrix algorithm of attribute reduction in rough set theory to reduce the attribute of the decision table and value reduction to eliminate the redundancy knowledge. Finally the condition classification rules which can provide the real-time basis for operation and maintenance of smart grid are extracted.