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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human APOB100 (glycosylated) sandwich ELISA kit is designed to detect human apolipoprotein B100 (APOB100) levels. APOB100 is a large protein isoform of apolipoprotein B, essential for the assembly and secretion of very low-density lipoprotein (VLDL) and low-density lipoprotein (LDL), playing a critical role in cholesterol transport. The kit is suitable for various biological samples such as serum, plasma. Its sensitivity is 9.026 ng/mL, which can accurately detect low concentrations of APOB100 in the sample. |
| Target | APOB100 |
| N-Glycosylation Site | 34, 185, 983, 1368, 1377, 1523, 2239, 2560, 2779, 2982, 3101, 3224, 3336, 3358, 3411, 3465, 3895, 4237, 4431 |
| Sample Types | Serum, plasma |
| Sample Volume | 100 μL |
| Sensitivity | 9.026 ng/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 25 ng/mL-1250 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 | Apolipoprotein B100 |
| Alternate Names | APOB100; Apolipoprotein B100; Apo-B100 |
| Uniprot No. | P04114 |
| Application | The quantitative human APOB100 (glycosylated) sandwich ELISA kit is valuable in research and clinical settings for assessing cardiovascular risk, monitoring lipid metabolism disorders, and evaluating the efficacy of lipid-lowering therapies. Researchers and clinicians utilize this ELISA to quantify APOB100 levels, providing insights into LDL cholesterol metabolism and potential therapeutic interventions. |
| 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, 85-105%; 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. |