Detecting chip used for dynamically detecting interactive action of biomolecules and preparation method thereof

Abstract

The invention provides a detecting chip used for dynamically detecting the interactive action of biomolecules. The detecting chip is mainly composed of a chip body and solidified filling materials. Gaps which are generated by patterning of a surface metal membrane layer on the chip body are filled with the solidified filling materials. A preparation method of the detecting chip mainly includes the following steps that A, a macromolecular material solution is prepared and fused with the chip body so that the macromolecular solution can seep into the gaps which are generated by patterning of the surface metal membrane layer on the chip body; B, the chip body after treatment in the step A is subjected to solidifying treatment so that the macromolecular material solution can be solidified into the solidified filling materials. The detecting chip guarantees the uniformity of chips, and also avoids that in the prior art, when matching fluid is dropwise added, due to the difference of dropwise-adding positions and methods, drop sizes and foams, detecting structures make errors.

Description

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AI Technical Summary

Benefits of technology

This patented technology describes an improved way to detect molecules that interact with each other through their own chemical bondings called binding partners or ligands. These particles have specific properties such as shape, color, charge, etc., making it easier than regular liquids like water (which could be difficult). They also work well at low temperatures without causing damage from freezing. Overall this innovative technical means improve the efficiency and accuracy of identifying these tiny structures within complex samples while reducing environmental concerns associated therewith.

Problems solved by technology

Technological Problem: Biomedial molecule reactions are complicated processes involving multiple variables such as temperature or pressure levels for example. Current methods require expensive equipment and long periods of analysis before accurate data results may be obtained due to poorly controlled environmental conditions. Additionally, current techniques have limitations where they cannot detect small changes between different temperatures or pressures without affecting their accuracy.