The EPO ELISA Kit is designed for the quantitative detection of Erythropoietin (EPO) levels in various human biological samples. EPO is a crucial hormone involved in the regulation of red blood cell production. It plays a significant role in the body's response to hypoxia and has been implicated in managing anemia in chronic kidney disease, cancer, and other health conditions. Accurate measurement of EPO is crucial for understanding its role in erythropoiesis and for developing targeted therapeutic strategies. Assay Genie's EPO ELISA Kit offers outstanding sensitivity and specificity, ensuring reliable and reproducible results. Manufactured under stringent quality control standards, this kit provides robust performance and is easy to use, making it an excellent choice for both research and clinical applications. Trust Assay Genie's EPO ELISA Kit for accurate and dependable quantification of this critical biomarker in your studies.
Product Name:
Human EPO (Erythropoietin) ELISA Kit
SKU:
AEES00038
Size:
96 Assays
Detection Method:
Colorimetric method, ELISA, Sandwich
Assay type:
Sandwich-ELISA
Assay time:
3 h 30 min
Sensitivity:
0.94 mIU/mL
Detection range:
1.56-100 mIU/mL
Reovery:
80%-120%
This ELISA kit uses the Sandwich-ELISA principle. The micro ELISA plate provided in this kit has been pre-coated with an antibody specific to the target protein. Standards or samples are added to the micro ELISA plate wells and bind to the immobilized antibody. A biotinylated detection antibody specific to the target protein is then added, followed by Avidin-Horseradish Peroxidase (HRP) conjugate. Free components are washed away. The substrate solution is added to each well, resulting in a color change. Only wells containing the target protein, detection antibody, and HRP conjugate will develop a blue color. The reaction is terminated by the addition of stop solution, resulting in a yellow color. The optical density (OD) is measured at 450 nm ± 2 nm. The OD value is directly proportional to the concentration of the target protein in the sample and is determined using a standard curve.
