APOMAG-62K
MILLIPLEX®人载脂蛋白磁珠板-心血管疾病多重测定
This Bead-Based Multiplex Assay, using the Luminex® xMAP® technology, enables the simultaneous analysis of Apo AI, Apo AII, Apo B, Apo CII, Apo CIII, Apo E.
别名:
human apolipoprotein CVD immunoassay panel, luminex human apolipoprotein cardiovascular disease multiplex assay, millipore human apolipoprotein CVD multiplex kit
About This Item
推荐产品
特點
This Bead-Based Multiplex Assay, using the Luminex® xMAP® technology, enables the simultaneous analysis of Apo AI, Apo AII, Apo B, Apo CII, Apo CIII, Apo E.
品質等級
物種活性
human
製造商/商標名
Milliplex®
assay range
accuracy: 85%
(Apo E)
accuracy: 86%
(Apo AI)
accuracy: 89%
(Apo CIII)
accuracy: 92%
(Apo B)
sensitivity: 1.00 ng/mL
(Apo AII)
sensitivity: 1.22 ng/mL
(Apo CII)
sensitivity: 1.42 ng/mL
(Apo E)
sensitivity: 1.48 ng/mL
(Apo AI)
sensitivity: 1.71 ng/mL
(Apo CIII)
sensitivity: 4.84 ng/mL
(Apo B)
技術
multiplexing: suitable
檢測方法
fluorometric (Luminex xMAP)
運輸包裝
wet ice
一般說明
MILLIPLEX®人载脂蛋白检测板是一种6重试剂盒,用于同时定量血清、血浆、组织培养上清液或其他生物样品中以下分析物的任何或全部:APOA-1,APOA-2,APOB,APOC-2,APOC-3和APOE。该试剂盒采用96孔格式,包含冻干标准混合物、两个内部检测质控品,可最多可测定38份样品,重复两次。
Luminex® xMAP®平台使用磁珠免疫分析格式,以实现理想的速度和灵敏度,同时定量多种分析物,从而显著提高生产力,同时节省宝贵的样品量。
面板类型:心血管
特異性
为了测试检测板中的测定方法之间的交叉反应性,以比校准曲线中最高浓度高4倍的浓度制备单个载脂蛋白标准品,并在6重分析中使用含有固定化捕获抗体和单个检测抗体的多重微珠进行测试。检测板内的交叉反应性可忽略不计。
應用
- 分析物:Apo AI,Apo AII,Apo B,Apo CII,Apo CIII,Apo E
- 推荐的样品类型:人血清,血浆,组织培养上清液或其他生物样品
- 推荐的样品稀释度:10 μL 1:4,000稀释的血浆或血清
- 分析运行时间:初次培养1小时,然后二次培养30分钟,均在室温(20-25℃)下进行。
- 研究子类别:心血管疾病
特點和優勢
其他說明
法律資訊
免責聲明
訊號詞
Danger
危險分類
Acute Tox. 4 Dermal - Acute Tox. 4 Inhalation - Acute Tox. 4 Oral - Aquatic Chronic 2 - Eye Dam. 1 - Skin Sens. 1 - STOT RE 2
標靶器官
Respiratory Tract
儲存類別代碼
10 - Combustible liquids
水污染物質分類(WGK)
WGK 3
相关内容
Learn about biomarkers of cardiovascular disease (CVD) and discover how multiplex CVD panels, such as MILLIPLEX® multiplex assays, are being used to increase the efficiency of biomarker discovery for CVD research.
Multiplex immunoassays, such as MILLIPLEX® multiplex metabolic assays, are critical in metabolic syndrome research because they provide a full picture of the different conditions related to it, like diabetes and obesity, as well as save time and sample volume.
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