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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human FFAR1 (glycosylated) sandwich ELISA kit is designed to detect human free fatty acid receptor 1 (FFAR1) levels. FFAR1, also known as G protein-coupled receptor 40 (GPR40), is a G protein-coupled receptor that is activated by medium- and long-chain fatty acids, playing a role in glucose-stimulated insulin secretion and metabolic regulation. It is involved in nutrient sensing and energy homeostasis. The kit is suitable for various biological samples such as tissue homogenates, serum, plasma. Its sensitivity is 0.932 ng/mL, which can accurately detect low concentrations of FFAR1 in the sample. |
| Target | FFAR1 |
| N-Glycosylation Site | 155 |
| Sample Types | Tissue homogenates, serum, plasma |
| Sample Volume | 100 μL |
| Sensitivity | 0.932 ng/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 5 ng/mL-100 ng/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 | Free fatty acid receptor 1 |
| Alternate Names | FFAR1; Free fatty acid receptor 1; GPR40; FFA1R; G protein-coupled receptor 40 |
| Uniprot No. | O14842 |
| Application | The quantitative human FFAR1 (glycosylated) sandwich ELISA kit is valuable for researchers investigating type 2 diabetes, obesity, and other metabolic disorders, where FFAR1 signaling is implicated. By quantifying FFAR1, researchers can gain insights into its role in disease pathogenesis and explore potential therapeutic targets related to glucose homeostasis and insulin secretion. |
| 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, 90-105%; Plasma sample: n=4, 80-100%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |