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α1-酸性糖蛋白(a1AGP)檢測試劑盒(酶聯(lián)免疫吸附試驗法)

ELISA Kit for Alpha-1-Acid Glycoprotein (a1AGP)

AGP1; a1-AGP; ORM1; OMD 1; Orosomucoid 1

  • α1-酸性糖蛋白(a1AGP)檢測試劑盒(酶聯(lián)免疫吸附試驗法) 產(chǎn)品包裝(模擬)
  • α1-酸性糖蛋白(a1AGP)檢測試劑盒(酶聯(lián)免疫吸附試驗法) 產(chǎn)品包裝(模擬)
  • α1-酸性糖蛋白(a1AGP)檢測試劑盒(酶聯(lián)免疫吸附試驗法) 實驗結果圖
  • SEA816Hu.jpg 標準曲線圖
  • Certificate 通過ISO 9001、ISO 13485質量體系認證

特異性

本試劑盒用于檢測α1-酸性糖蛋白(a1AGP),經(jīng)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(jīng)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α1-酸性糖蛋白(a1AGP)(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) 80-94 83
EDTA plasma(n=5) 78-104 97
heparin plasma(n=5) 86-104 90

精密度

精密度用樣品測定值的變異系數(shù)CV表示。CV(%) = SD/mean×100
批內(nèi)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(xù)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(nèi)差: CV<10%
批間差: CV<12%

線性

在定值血清及血漿樣本內(nèi)加入適量的α1-酸性糖蛋白(a1AGP),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α1-酸性糖蛋白(a1AGP)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) 80-89% 86-98% 92-99% 82-103%
EDTA plasma(n=5) 85-92% 85-101% 88-97% 95-104%
heparin plasma(n=5) 80-99% 97-104% 88-103% 80-101%

穩(wěn)定性

經(jīng)測定,試劑盒在有效期內(nèi)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(huán)境條件需盡量保持一致,尤其是實驗室內(nèi)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、試劑及樣本的準備;
2. 加樣(標準品及樣本)100µL,37°C孵育1小時;
3. 吸棄,加檢測溶液A100µL,37°C孵育1小時;
4. 洗板3次;
5. 加檢測溶液B100µL,37°C孵育30分鐘;
6. 洗板5次;
7. 加TMB底物90µL,37°C孵育10-20分鐘;
8. 加終止液50µL,立即450nm讀數(shù)。

實驗原理

將α1-酸性糖蛋白(a1AGP)抗體包被于96孔微孔板中,制成固相載體,向微孔中分別加入標準品或標本,其中的α1-酸性糖蛋白(a1AGP)與連接于固相載體上的抗體結合,然后加入生物素化的α1-酸性糖蛋白(a1AGP)抗體,將未結合的生物素化抗體洗凈后,加入HRP標記的親和素,再次徹底洗滌后加入TMB底物顯色。TMB在過氧化物酶的催化下轉化成藍色,并在酸的作用下轉化成最終的黃色。顏色的深淺和樣品中的α1-酸性糖蛋白(a1AGP)呈正相關。用酶標儀在450nm波長下測定吸光度(O.D.值),計算樣品濃度。

相關產(chǎn)品

編號 適用物種:Homo sapiens (Human,人) 應用(僅供研究使用,不用于臨床診斷!)
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參考文獻

雜志 參考文獻
J Reprod Dev.? An Acute-phase Protein as a Regulator of Sperm Survival in the Bovine Oviduct: Alpha 1-acid-glycoprotein Impairs Neutrophil Phagocytosis of Sperm In Vitro [Pubmed:Pmc4219990]
Molecular Reproduction and Development Evidence for a novel, local acute-phase response in the bovine oviduct: Progesterone and lipopolysaccharide up-regulate alpha 1-acid-glycoprotein expression in epithelial cells in vitro [Pubmed:25123565]
BMC Complementary and Alternative Medicine Identification of plasma protein markers common to patients with malignant tumour and Abnormal Savda in Uighur medicine: a prospective clinical study [Pubmed:25652121]
PLoS One Gut Microbial Dysbiosis May Predict Diarrhea and Fatigue in Patients Undergoing Pelvic Cancer Radiotherapy: A Pilot Study [PubMed: 25955845]
Sci Rep.? S100A9 and ORM1 serve as predictors of therapeutic response and prognostic factors in advanced extranodal NK/T cell lymphoma patients treated with pegaspargase/gemcitabine [pmc:PMC4810364]
Journal of Chromatography A Application of a new procedure for liquid chromatography/mass spectrometry profiling of plasma amino acid-related metabolites and untargeted shotgun proteomics to identify mechanisms and biomarkers of calcific aortic stenosis [S0021967317311858]
Scientific Reports An autoregressive logistic model to predict the reciprocal effects of oviductal fluid components on in vitro spermophagy by neutrophils in cattle [pubmed:28667317]
33 Transcriptome Analysis Uncovers a Growth-Promoting Activity of Orosomucoid-1 on Hepatocytes. [pubmed:28927749]
Brazilian Journal of Otorhinolaryngology Inflammatory markers in palatine tonsils of children with obstructive sleep apnea syndrome [Pubmed: 30213594]
BioRxiv Proteome-wide characterization and biomarker identification of intracranial aneurysm []
The FEBS journal Dramatically changed immune‐related molecules as early diagnostic biomarkers of non‐small cell lung cancer [Pubmed: 31482685]
PLoS One Effects of vaccination on acute-phase protein response in broiler chicken [Pubmed: 32191767]
Indian Journal of Animal Sciences Peripheral concentrations of metabolic and inflammatory indicators during transition period and their relationship with postpartum clinical endometritis in dairy?… []
A New Biomarker Tool for Risk Stratification in ?°De Novo?± Acute Heart Failure (OROME) []
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