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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human KMO (glycosylated) sandwich ELISA kit is designed to detect human kynurenine-3-monooxygenase (KMO) levels. KMO is an enzyme that catalyzes the hydroxylation of kynurenine to 3-hydroxykynurenine, a key step in the kynurenine pathway of tryptophan metabolism. It plays a role in the production of neuroactive metabolites and is implicated in various neurological and inflammatory conditions. The kit is suitable for various biological samples such as tissue homogenates. Its sensitivity is 0.513 ng/mL, which can accurately detect low concentrations of KMO in the sample. |
| Target | KMO |
| N-Glycosylation Site | 465 |
| Sample Types | Tissue homogenates |
| Sample Volume | 100 μL |
| Sensitivity | 0.513 ng/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 2 ng/mL-50 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 | Kynurenine-3-monooxygenase |
| Alternate Names | KMO; Kynurenine-3-monooxygenase; Kynurenine 3-hydroxylase |
| Uniprot No. | O15229 |
| Application | The quantitative human KMO (glycosylated) sandwich ELISA kit is valuable for researchers investigating neurodegenerative diseases, psychiatric disorders, and inflammatory diseases, where KMO activity is often altered. By quantifying KMO, researchers can gain insights into the role of the kynurenine pathway in disease pathogenesis and explore potential therapeutic targets related to tryptophan metabolism. |
| 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, 80-100%; Plasma sample: n=4, 85-105%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |