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中文名称:鸡雌二醇(E2)酶联免疫试剂盒
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货号:CSB-E12013C
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规格:96T/48T
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价格:¥4800/¥3000
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其他:
产品详情
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产品描述:CUSABIO鸡雌二醇(E2)酶联免疫检测试剂盒(货号CSB-E12013C),采用竞争法定量原理,专为科研领域设计,适用于鸡血清或血浆样本中E2激素水平的精准检测。雌二醇(E2)是禽类重要的类固醇激素,参与调控生殖系统发育、卵泡成熟及产蛋周期等生理过程,对家禽繁殖生理研究具有关键意义。本试剂盒检测范围为50-1200 pg/ml,灵敏度达50 pg/ml,可在3小时内完成检测流程。其核心原理基于预包被抗体的竞争性结合:样本中的E2与酶标抗原竞争结合抗体,通过显色反应与吸光度测定实现定量分析,数据稳定可靠。试剂盒采用96孔板设计支持高通量检测,配套标准品及实验所需试剂齐全,便于开展家禽繁殖生物学、卵巢功能评估、激素调控机制等研究,亦可应用于饲料营养干预、环境因素对禽类内分泌影响等相关科研项目,为禽类生理学及养殖研究提供高效工具。
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别名:N/A
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缩写:E2
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种属:Gallus gallus (Chicken)
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样本类型:serum, plasma.
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检测范围:50 pg/ml-1200 pg/ml.
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灵敏度:40 pg/ml
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反应时间:1-5h
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样本体积:50-100ul
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检测波长:450 nm
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研究领域:Signal Transduction
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测定原理:quantitative
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测定方法:Competitive
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精密度:
Intra-assay Precision (Precision within an assay): CV%<15%
Three samples of known concentration were tested twenty times on one plate to assess.
Inter-assay Precision (Precision between assays): CV%<15%
Three samples of known concentration were tested in twenty assays to assess.
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标准曲线:
These standard curves are provided for demonstration only. A standard curve should be generated for each set of samples assayed.
pg/ml
OD1
OD2
Average
Corrected
0
2.185
2.134
2.160
2.160
50
1.176
1.167
1.172
1.172
120
0.743
0.728
0.735
0.735
250
0.518
0.529
0.524
0.524
500
0.340
0.321
0.331
0.331
1200
0.177
0.173
0.175
0.175
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数据处理:
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货期:3-5 working days
引用文献
- Analysis of the Molecular Mechanism of Energy Metabolism in the Sex Differentiation of Chickens Based on Transcriptome Sequencing Z Zhao, Z Zhao, F Cheng, Z Wang, Q Geng, Y Wang,Genes,2024
- Preliminary insights into the molecular mechanism of energy metabolism on sex differentiation in chickens based on transcriptome sequencing Z Zhao,ResearchSquare,2023
- Dietary encapsulated Bacillus subtilis and essential oil supplementation improves reproductive performance and hormone concentrations of broiler breeders during the late laying period Y.B. Chen,Livestock Science,2021
- Krüppel-like factor 4 plays a role in the luteal transition in steroidogenesis by down-regulating Cyp19A1 expression Choi H, et al,american journal of physiology-endocrinology and metabolism,2019
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