The fluorescence quantitative PCR instrument is a device that can monitor the DNA amplification in real time through fluorescence signals during the PCR reaction process, and then conduct quantitative analysis on DNA templates. Its specific applications are as follows:

Pathogen Detection: It can be used to detect and quantify various pathogens such as viruses and bacteria, including the COVID-19 virus, hepatitis B virus, and Mycobacterium tuberculosis. It can quickly and accurately determine whether a patient is infected and can also monitor the degree of infection and the effect of treatment.
Tumor Diagnosis and Treatment: By detecting the expression levels of tumor-related genes, it can assist in the early diagnosis, classification, and prognosis evaluation of tumors. For example, by detecting the amplification of the HER2 gene in breast cancer, it can provide a basis for targeted therapy. It can also monitor the changes in genes during the treatment of tumor patients to evaluate the curative effect and predict the risk of recurrence.
Genetic Disease Diagnosis: It can detect gene mutations, deletions, or duplications, etc., and is used to diagnose genetic diseases such as thalassemia and hemophilia. Through the detection of fetal genes, it can achieve prenatal diagnosis and provide support for genetic counseling and prenatal and postnatal care.

Gene Expression Analysis: It is used to study the differences in gene expression in different tissues, developmental stages, or under different treatment conditions. For example, it can analyze the changes in the expression of related genes in plants under stress conditions such as drought and low temperature, revealing the molecular mechanisms of plant stress resistance. It can also study the spatio-temporal expression patterns of genes during animal embryo development to explore the regulatory mechanisms of embryo development.
Molecular Evolution Research: By comparing the sequence differences of homologous genes in different species, it can construct phylogenetic trees and analyze the phylogenetic relationships and evolutionary histories of species. For example, by analyzing specific genes in different primate animals, it can understand the origin of human evolution.
SNP Analysis: It can detect single nucleotide polymorphisms and is used for gene mapping, association analysis, and other studies. For example, in genome-wide association studies in humans, it can search for SNP loci related to disease susceptibility and drug response, providing a basis for personalized medicine.

Detection of Genetically Modified Foods: It can detect whether there are genetically modified ingredients in foods and conduct quantitative analysis on genetically modified ingredients. For example, it can detect transgenic fragments in crops such as soybeans and corn and their processed products to ensure consumers’ right to know and the right to choose.
Microorganism Detection: It can quickly detect harmful microorganisms in foods, such as Escherichia coli and Staphylococcus aureus. By conducting quantitative analysis, it can evaluate the degree of food contamination and ensure food safety.

Microbial Community Analysis: It is used to study the types and quantity distributions of microorganisms in environmental samples. For example, it can analyze the changes in the structure of microbial communities in soil and water bodies to evaluate the degree of environmental pollution and the health status of ecosystems.
Pollutant Degradation Research: It can monitor the expression of genes related to pollutant degradation in the environment and study the degradation mechanisms and efficiencies of microorganisms on pollutants, providing theoretical basis and technical support for the bioremediation of environmental pollution.