一步式数字免疫试验中的动态分析能够在超广的动态范围中进行多重量化
Abtin Saateh1, Rojina Allamehnejad1, Wenhong Yang1
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland.
Journal of the American Chemical Society
|January 27, 2026
概括
这项研究引入了一种动力学框架,通过分析随时间推移的单粒子信号来克服免疫试验中的效应. 这种方法量化了分析物的高度,并减少了交叉反应性,以便在血清中准确检测生物标志物.
科学领域:
- 生物感应是一种生物感应.
- 分析化学 分析化学
- 生物物理学的生物物理.
背景情况:
- 一步三明治免疫试验在高分析剂度下可能会受到效应的影响,导致不准确的结果.
- 效应发生在过多的分析物抑制三明治复合物的形成时,从而使定量分析复杂化.
研究的目的:
- 开发一种动力学框架,以解决免疫试验中效应引起的模糊性.
- 为了能够在广泛的动态范围内准确量化生物标志物,包括高度.
- 在多重生物传感应用中解决和最大限度地减少交叉反应.
主要方法:
- 从金纳米孔阵列中利用时间解析的单粒子等离子体信号与纳米粒子报道器.
- 追踪了个体绑定事件,并使用大规模运输和反应有限模型分析了响应时间概况.
- 开发了一个数字框架来分类和解多重测试中的交叉反应性.
主要成果:
- 通过比较适应残留物,确定了对效应负责的动力过渡.
- 通过了解底层动力学,将效应转化为定量特征.
- 在未经加工的人类血清中成功应用了多重检测细胞因子和C反应蛋白的方法.
- 能够同时量化超过9个数量级的生物标志物,而无需样本分割或稀释.
结论:
- 建立了一个可概括的动力,交叉反应意识的生物感知范式.
- 机械化策略克服了复杂生物样本传统免疫试验的局限性.
- 这种方法提高了临床诊断中生物标志物量化的准确性和动态范围.
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