The Rat SST (Somatostatin) ELISA Kit is a reliable tool for detecting somatostatin levels in rat serum, plasma, and cell culture supernatants. This kit offers high sensitivity and specificity, ensuring accurate and reproducible results for a variety of research applications.Somatostatin is a key regulatory hormone involved in the inhibition of various physiological processes, including the release of growth hormone, insulin, and glucagon. Dysregulation of somatostatin has been implicated in various disorders such as diabetes, gastrointestinal diseases, and neurological conditions, making it a valuable biomarker for understanding these pathologies and developing potential treatments. Overall, the Rat SST (Somatostatin) ELISA Kit provides researchers with a powerful tool for studying the role of somatostatin in health and disease, offering reliable and precise measurements to advance our understanding of this important regulatory hormone.
Product Name:
Rat SST (Somatostatin) ELISA Kit
SKU:
RTES00759
Size:
96 Assays
Detection Method:
Colorimetric method, ELISA, Competitive
Assay type:
Competitive-ELISA
Assay time:
2 h 30 min
Sensitivity:
9.38 pg/mL
Detection range:
15.63-1000 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.
