The Mouse GC (Glucagon) ELISA Kit is a highly sensitive and specific assay designed for the accurate detection of glucagon levels in mouse serum, plasma, and cell culture supernatants. This comprehensive kit provides reliable and reproducible results, making it ideal for a variety of research applications.Glucagon is a key hormone involved in regulating blood sugar levels by stimulating the liver to release glucose into the bloodstream. It plays a crucial role in metabolic processes and is essential for maintaining glucose homeostasis. Dysregulation of glucagon levels is associated with conditions such as diabetes and metabolic disorders, making it a valuable biomarker for understanding and developing treatments for these diseases.With its easy-to-use format and exceptional performance, the Mouse GC (Glucagon) ELISA Kit from Assay Genie is a valuable tool for researchers studying glucagon biology and its implications in various health conditions.
Product Name:
Mouse GC (Glucagon) ELISA Kit
SKU:
MOES01072
Size:
96 Assays
Detection Method:
Colorimetric method, ELISA, Competitive
Assay type:
Competitive-ELISA
Assay time:
2 h 30 min
Sensitivity:
18.75 pg/mL
Detection range:
31.25-2000 pg/mL
Reovery:
80%-120%
This ELISA kit uses the Competitive-ELISA principle. The micro ELISA plate provided in this kit has been pre-coated with the target antigen. Standards or samples are added along with a biotinylated detection antibody. The target antigen present in the sample competes with the immobilized antigen for binding to the detection antibody. After incubation, Avidin-Horseradish Peroxidase (HRP) conjugate is added. Free components are washed away. The substrate solution is then added, resulting in a color change. The intensity of the color is inversely proportional to the concentration of the target antigen in the sample. The reaction is stopped by the addition of stop solution, and the color changes from blue to yellow. The optical density (OD) is measured at 450 nm ± 2 nm. The concentration of the target protein is calculated by comparing the OD values of the samples to the standard curve.
