Metabolic screening p-hydroxyl phenylalanine urine detection reagent

Abstract

The present invention relates to a metabolic screening p-hydroxyl phenylalanine urine detection reagent, which is formed by mixing a 0.1-0.15 g / ml mercury sulfate aqueous solution, a 0.5-1 g / ml mercury nitrate aqueous solution, a 0.1-0.2 g / ml nickel nitrate aqueous solution and a 1-2 g / ml selenous acid aqueous solution according to a volume ratio of 1:0.6-1.2:0.8-1.5:0.5-1.0. According to the present invention, the detection reagent has characteristics of strong universality, high sensitivity, good specificity and the like in tumor detection, further has advantages of simple detection process, short detection time and easy result judgment, and is particularly suitable for the large-scale population census and the tumor clinical auxiliary diagnosis and treatment effect dynamic examination.

Description

technical field [0001] The invention belongs to urine detection reagents, in particular to a urine detection reagent for metabolic screening p-hydroxyphenylalanine. Background technique [0002] Early diagnosis and early treatment of tumors are the key to improving the cure rate of tumors. The commonly used diagnostic methods in clinical practice include chest X-ray, B-ultrasound, CT, and nuclear magnetic resonance, etc., which are often accompanied by puncture, blood drawing, etc., which aggravate the pain of the patient and may even cause cross-infection, and are expensive. More importantly, through these The tumors that can be detected by means are generally in the middle and late stage, which brings great pain and economic burden to the patients. Therefore, it is imperative to develop a detection method with simple and quick operation, low cost, high sensitivity and good repeatability. [0003] Abnormal nucleotide metabolism of tumor cells produces a monohydric phenoli...

AI Technical Summary

Problems solved by technology

Although the current urine metabolite detection reagents are highly sensitive, false positives often occur, which greatly reduces the accuracy of detection, causes misdiagnosis, and limits its application value