Rapid detection method for cadmium residual quantity in aquatic product based on magnetic qualitative separation and polarized light distinguishing and quantifying

By combining magnetic microsphere-coupled antibodies and polarized light differentiation technology with the deep learning model RESNET34, rapid and accurate detection of cadmium in aquatic products was achieved, solving the problems of complex operation and difficult separation in traditional methods and achieving high-efficiency detection results.

CN121856539APending Publication Date: 2026-04-14FRESHWATER FISHERIES RES CENT OF CHINESE ACAD OF FISHERY SCI
0 Cites 0 Cited by

Patent Information

Application Number
CN202511682569.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-17
Publication Date
2026-04-14

AI Technical Summary

Technical Problem

Traditional detection methods are cumbersome and cannot quickly and accurately separate and enrich trace amounts of cadmium in aquatic products.

Method used

A method combining magnetic microspheres with antibodies and polarized light was used to distinguish and quantitatively detect cadmium in aquatic products using magnetic separation and polarization microscopy. The Müller matrix image was analyzed using the deep learning model RESNET34, and a standard curve was plotted using cadmium standard solutions for quantification.

Benefits of technology

This method enables the specific enrichment and quantitative detection of trace cadmium in aquatic products. It is simple to operate, and the magnetic separation time is completed within 2 minutes. The quantitative R² of the detection results reaches above 0.9, and the detection limit and time are better than traditional methods.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to a rapid detection method for cadmium residual quantity in aquatic products based on magnetic qualitative separation and polarized light distinguishing and quantifying. The method comprises the following steps: coupling a biotinylated cadmium monoclonal antibody through streptavidin magnetic microspheres, and specifically enriching trace cadmium in the aquatic product digestive juice to form a magnetic compound; a muller matrix microscope is used for collecting a polarization microscopic image of a compound, and a deep learning model (such as RESNET34) is combined to carry out binary classification and particle counting on the image, so that rapid and high-sensitivity quantitative detection of cadmium can be realized. The method is easy and convenient to operate, the target object magnetic separation time is within 2 min, the particle distinguishing accuracy rate is higher than 84%, the quantitative correlation Rreaches 0.9 or above, and the method is suitable for rapid monitoring of trace cadmium (several micrograms / L) in aquatic products.
Need to check novelty before this filing date? Find Prior Art