激活素A(ACVA)等多因子檢測試劑盒(流式熒光發光法)
Multiplex Assay Kit for Activin A (ACVA) ,etc. by FLIA (Flow Luminescence Immunoassay)
ACV-A; Activin Beta A Beta A Homodimer
(注:單次混測多因子不超過8個指標 )
- 編號ULMA001Ra
- 物種Rattus norvegicus (Rat,大鼠) 相同的名稱,不同的物種。
- 實驗方法競爭抑制
- 反應時長1.5h
- 檢測范圍0.98-1000pg/mL
- 靈敏度最小可檢測劑量小于等于0.327 pg/mL.
- 樣本類型Serum, plasma, tissue homogenates, cell lysates, cell culture supernates and other biological fluids
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特異性
本試劑盒用于檢測激活素A(ACVA)等多因子檢測試劑盒(流式熒光發光法),經檢測與其它相似物質無明顯交叉反應。
由于受到技術及樣本來源的限制,不可能完成對所有相關或相似物質交叉反應檢測,因此本試劑盒有可能與未經檢測的其它物質有交叉反應。
回收率
分別于定值血清及血漿樣本中加入一定量的激活素A(ACVA)等多因子檢測試劑盒(流式熒光發光法)(加標樣品),重復測定并計算其均值,回收率為測定值與理論值的比率。
| 樣本 | 回收率范圍(%) | 平均回收率(%) |
| serum(n=5) | 86-99 | 89 |
| EDTA plasma(n=5) | 84-97 | 88 |
| heparin plasma(n=5) | 81-96 | 88 |
精密度
精密度用樣品測定值的變異系數CV表示。CV(%) = SD/mean×100
批內差:取同批次試劑盒對低、中、高值定值樣本進行定量檢測,每份樣本連續測定20 次,分別計算不同濃度樣本的平均值及SD值。
批間差:選取3個不同批次的試劑盒分別對低、中、高值定值樣本進行定量測定,每個樣本使用同一試劑盒重復測定8次,分別計算不同濃度樣本的平均值及SD值。
批內差: CV<10%
批間差: CV<12%
線性
在定值血清及血漿樣本內加入適量的激活素A(ACVA)等多因子檢測試劑盒(流式熒光發光法),并倍比稀釋成1:2,1:4,1:8,1:16的待測樣本,線性范圍即為稀釋后樣本中激活素A(ACVA)等多因子檢測試劑盒(流式熒光發光法)含量的測定值與理論值的比率。
| 樣本 | 1:2 | 1:4 | 1:8 | 1:16 |
| serum(n=5) | 94-103% | 85-103% | 85-101% | 96-105% |
| EDTA plasma(n=5) | 88-102% | 79-96% | 83-95% | 81-104% |
| heparin plasma(n=5) | 83-99% | 85-93% | 81-98% | 94-101% |
穩定性
經測定,試劑盒在有效期內按推薦溫度保存,其活性降低率小于5%。
為減小外部因素對試劑盒破壞前后檢測值的影響,實驗室的環境條件需盡量保持一致,尤其是實驗室內溫度、濕度及溫育條件。其次由同一實驗員來進行操作可減少人為誤差。
實驗流程
1. 實驗前標準品、試劑及樣本準備;
2. 加樣(標準品、樣本、磁珠、檢測溶液A)標準品或樣本50μL及磁珠10μL,加檢測溶液A50μL,
37°C酶標板振蕩器孵育60分鐘;
3. 磁吸洗板3次;
4. 加檢測溶液B100μL,37°C振動孵育30分鐘;
5. 磁吸洗板3次;
6. 加鞘液100μL,旋渦震蕩2分鐘后讀數。
實驗原理
將激活素A(ACVA)等多因子檢測試劑盒(流式熒光發光法)抗體包被于磁珠,制成固相載體,向微孔中分別加入標準品或標本以及磁珠、標記VEGFA,標記的激活素A(ACVA)等多因子檢測試劑盒(流式熒光發光法)和未標記的激活素A(ACVA)等多因子檢測試劑盒(流式熒光發光法)與連接于固相載體上的抗體競爭結合,然后將未結合物洗凈后,加入PE標記的親和素,再次徹底洗滌后即可上機讀數。MFI值和樣品中的激活素A(ACVA)等多因子檢測試劑盒(流式熒光發光法)呈負相關。
贈品
增值服務
相關產品
| 編號 | 適用物種:Rattus norvegicus (Rat,大鼠) | 應用(僅供研究使用,不用于臨床診斷!) |
| UCEA001Ra | 激活素A(ACVA)檢測試劑盒(酶聯免疫吸附試驗法) | Enzyme-linked immunosorbent assay for Antigen Detection. |
| ULMA001Ra | 激活素A(ACVA)等多因子檢測試劑盒(流式熒光發光法) | FLIA Kit for Antigen Detection. |
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