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 CES2 (glycosylated) sandwich ELISA kit is designed to detect human carboxylesterase 2 (CES2) levels. CES2 is an enzyme that hydrolyzes various esters, including drugs and endogenous compounds, playing a significant role in drug metabolism and lipid homeostasis. It contributes to the detoxification and processing of xenobiotics and endogenous substrates. The kit is suitable for various biological samples such as tissue homogenates, serum, plasma. Its sensitivity is 0.125 ng/mL, which can accurately detect low concentrations of CES2 in the sample. |
| Target | CES2 |
| N-Glycosylation Site | 111, 276 |
| Sample Types | Tissue homogenates, serum, plasma |
| Sample Volume | 100 μL |
| Sensitivity | 0.125 ng/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 1 ng/mL-10 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 | Carboxylesterase 2 |
| Alternate Names | CES2; Carboxylesterase 2; CE-2; CES2A1; Methylumbelliferyl-acetate deacetylase 2 |
| Uniprot No. | O00748 |
| Application | The quantitative human CES2 (glycosylated) sandwich ELISA kit is useful for researchers studying drug metabolism, pharmacokinetics, and lipid-related disorders, where CES2 activity is crucial. By quantifying CES2, researchers can gain insights into its role in drug disposition and disease pathogenesis, and explore potential therapeutic interventions related to enzyme modulation. |
| 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, 80-95%; Plasma sample: n=4, 90-105%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |