Method for effectively detecting tear protein degradation

Abstract

The invention discloses a method for effectively detecting tear protein degradation, which detects the protein content in a corneal contact lens cleaning solution through a polyacrylamide gel electrophoresis detection method to obtain a protein band representing the protein degradation amount, and specifically comprises the following steps: adding a detected protein sample into a lens cleaning solution to form a mixed solution; controlling the theoretical concentration of the detected protein in the mixed solution, quantitatively sampling liquid from the mixed solution to perform electrophoretic dissociation, quantitatively taking a sample of the sample liquid after the electrophoretic dissociation is completed, and detecting the protein sample loading amount in the sample through polyacrylamide gel electrophoresis to obtain a protein band representing the protein degradation amount, and reading the protein sample loading amount from the protein band. According to the method for effectively detecting the degradation of the tear protein, the degradation condition of the tear protein of the lens can be quantitatively and qualitatively detected, the deproteinization capability of lens cleaning equipment is proved, experimental detection data is provided for a user, and the consumption and use safety of the user is guaranteed.

Description

technical field [0001] The invention relates to the field of biological protein detection, in particular to a method for effectively detecting whether tear protein on a corneal contact lens is completely degraded. Background technique [0002] The problem of how to remove protein from contact lenses has plagued the industry for more than half a century, which has aroused the high attention of the ophthalmology and optometry industries in various countries to the safety of wearing contact lenses. In my country, due to frequent cases of corneal infection on contact lenses, contact lenses were included in the third category of medical devices in 2012 as high-risk management. The reason is that the material structure of contact lenses has a large number of fibers that are invisible to the naked eye. Through the itching hole, the human eye secretes a large amount of tears all the time. The tear contains a lot of tear protein, and the tear protein can easily penetrate into the itch...

AI Technical Summary

Problems solved by technology

Due to frequent cases of corneal infection on contact lenses in my country, contact lenses were included in the third category of medical devices in 2012 as high-risk management. The reason is that the material structure of contact lenses has a large number of fibers that are invisible to the naked eye. Through the itching hole, the human eye secretes a large amount of tears all the time. The tear fluid contains a lot of tear protein, and the tear protein can easily penetrate into the itching hole of the fiber, resulting in a decrease in the DK value of the lens (oxygen permeability), resulting in symptoms such as corneal hypoxia and edema. , severe corneal damage, bacterial infection, corneal inflammation and even visual impairment

[0003] In order to effectively remove the tear protein on the surface of the contact lens and ensure the eye safety of consumers, the market has also introduced a variety of methods for removing the tear protein on the surface of the contact lens, but it is not visible to the naked eye whether the tear protein is completely and effectively eluted Gradually, protein detection methods have been developed to make it possible to effectively verify whether the protein is completely degraded through scientific testing. However, the effective detection methods for corneal contact lenses on the market at this stage have limitations and cannot be accurately quantitatively and qualitatively measured. The protein residue after cleaning the contact lens is obtained, so the test result is not comprehensive and only has a certain reference significance, and it cannot be a professional test basis for quantitative and qualitative detection of protein degradation.

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