- ￥6756
- abinscience
- 15.63 - 1,000 pg/mL
- 9.13 pg/mL
- France
- VK565048
- 2025年07月08日
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- 详细信息
- 文献和实验
- 技术资料
- 库存：
999
- 供应商：
abinscience
- 检测范围：
15.63 - 1,000 pg/mL
- 检测方法：
Colorimetric
- 应用：
ELISA
- 适应物种：
Not Species Specific
- 标记物：
Unconjugated
- 样本：
Plasma, Serum
- 灵敏度：
9.13 pg/mL
- 规格：
96T
| Product name | SARS-CoV-2 RBD (JN.1) ELISA Kit |
|---|---|
| Catalog No. | VK565048 |
| Applications | ELISA |
| Accession | \ |
| Stability and Storage | The stability of ELISA kit is determined by the loss rate of activity. The loss rate of this kit is less than 10% prior to the expiration date under appropriate storage condition. |
| Detection method | Colorimetric |
| Sample type | Plasma, Serum |
| Assay type | Quantitative |
| Sensitivity | 9.13 pg/mL |
| Background | \ |
| Target | RBD (Omicron/JN.1) |
| Range | 15.63 - 1,000 pg/mL |
| Recovery | 80-120% |
| Alternative Names | \ |
| Clone ID | \ |
| Shipping | 2-8 ℃ |
| Note | For Research Use Only. |
Abinscience, founded in 2023 and located in the innovation technology center in Strasbourg, France, is the core research reagent brand of ProteoGenix. Focusing on the development and production of life science research reagents, Abinscience takes "Empowering Bioscience Discovery" as its vision, and is committed to providing high-quality and innovative biological reagent products and technical solutions for global researchers.
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文献和实验Kolosova A Y, Shim W B, Yang Z Y, et al. Direct competitive ELISA based on a monoclonal antibody for detection of aflatoxin B 1. Stabilization of ELISA kit components and application to grain samples[J]. Analytical and bioanalytical chemistry, 2006, 384: 286-371.
-Buffer® or LowCross-Buffer® STRONG as sample diluent, PlateBlock™ shows very good performance in serological ELISA tests, such as assays for neutralizing SARS-CoV-2 antibodies (s. also Fig. 5). The many benefits of animal-free solutions Animal
于较低亲和力的相互作用，不能使用经典LowCross Buffer®设置的截止值进行。对于这些分析，LowCross Buffer®MILD可能是有益的。尽管如此，对于大多数应用，LowCross Buffer®的经典配方可完美平衡干扰抑制和真正信号保护。 Figure 3: Improving an RBD-based SARS-CoV-2 antibody ELISA using LowCross-Buffer. Comparison of negative samples (# 1-20
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