There is no product in the shopping cart, buy it!
| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human IFNα2 (glycosylated) sandwich ELISA kit is designed to detect human interferon α2 (IFNα2) levels. IFNα2 is a type I interferon, a cytokine that plays a crucial role in antiviral immunity and immune regulation. It is commonly used in the treatment of viral infections and certain cancers. The kit is suitable for various biological samples such as tissue homogenates, cell lysates, serum, plasma. Its sensitivity is 8.271 pg/mL, which can accurately detect low concentrations of IFNα2 in the sample. |
| Target | IFNα2 |
| O-Glycosylation Site | 129 |
| Sample Types | Tissue homogenates, cell lysates, serum, plasma |
| Sample Volume | 100 μL |
| Sensitivity | 8.271 pg/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 25 pg/mL-1000 pg/mL |
| Detection Time | 1 h-5 h |
| Detection Wavelength | 450 nm |
| Storage | Store at 2-8°C for long term storage. |
| Species | Human |
| Full Name | Interferon α2 |
| Alternate Names | IFNα2; Interferon α2; IFNα2A; IFNα2B; α2a Interferon; Interferon α2b; Interferon αA |
| Uniprot No. | P01563 |
| Application | The quantitative human IFNα2 (glycosylated) sandwich ELISA kit is valuable in research and clinical settings for monitoring IFNα2 levels during therapeutic interventions and for investigating its role in immune responses and disease pathogenesis. Researchers use this ELISA to quantify IFNα2, providing insights into its efficacy and potential side effects in various medical applications. |
| Kit Components | Pre-coated ELISA plate; Lyophilized standard; Biotin-labeled antibody; HRP-avidin; Various diluents; Wash buffer; TMB chromogenic substrate; Stop solution |
| Precision | Intra-Assay: n=20, CV <8%; Inter-Assay: n=20, CV <10%; |
| Recovery | Serum sample: n=5, 95-110%; Plasma sample: n=4, 80-95%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |