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免疫层析分析的理论分析及其操作参数的考虑,有助于高效设计高灵敏度心肌肌钙蛋白 I(hs-cTnI)检测。

Theoretical analysis of immunochromatographic assay and consideration of its operating parameters for efficient designing of high-sensitivity cardiac troponin I (hs-cTnI) detection.

机构信息

School of Engineering and Sciences, Tecnológico de Monterrey, Ave. Eugenio Garza Sada 2501, 64849, Monterrey, NL, Mexico.

Autonomous Medical Devices Incorporated (AMDI), 3511 W Sunflower Ave, Santa Ana, CA, 92704, USA.

出版信息

Sci Rep. 2023 Oct 25;13(1):18296. doi: 10.1038/s41598-023-45050-1.

Abstract

Troponin is the American College of Cardiology and American Heart Association preferred biomarker for diagnosing acute myocardial infarction (MI). We provide a modeling framework for high sensitivity cardiac Troponin I (hs-cTnI) detection in chromatographic immunoassays (flow displacement mode) with an analytical limit of detection, i.e., LOD < 10 ng/L. We show that each of the various control parameters exert a significant influence over the design requirements to reach the desired LOD. Additionally, the design implications in a multiplexed fluidic network, as in the case of Simple Plex™ Ella instrument, are significantly affected by the choice of the number of channels or partitions in the network. We also provide an upgrade on the existing LOD equation to evaluate the necessary minimum volume to detect a particular concentration by considering the effects of stochastics and directly incorporating the target number of copies in each of the partitions in case of multiplexed networks. Even though a special case of cTnI has been considered in this study, the model and analysis are analyte agnostic and may be applied to a wide class of chromatographic immunoassays. We believe that this contribution will lead to more efficient designing of the immunochromatographic assays.

摘要

肌钙蛋白是美国心脏病学会和美国心脏协会推荐的用于诊断急性心肌梗死(MI)的首选生物标志物。我们提供了一种用于色谱免疫分析(流动置换模式)中高灵敏度心肌肌钙蛋白 I(hs-cTnI)检测的建模框架,其分析检测限为 LOD < 10 ng/L。我们表明,各种控制参数中的每一个都会对设计要求产生重大影响,以达到所需的 LOD。此外,在多路流体网络中的设计影响,如在 Simple Plex™ Ella 仪器的情况下,会受到网络中通道或分区数量选择的显著影响。我们还提供了现有的 LOD 方程的升级版本,通过考虑随机效应并直接将目标拷贝数纳入每个分区,来评估检测特定浓度所需的最小体积,以便在多路网络中使用。尽管在这项研究中考虑了 cTnI 的特殊情况,但该模型和分析是与分析物无关的,并且可应用于广泛的色谱免疫分析。我们相信,这一贡献将导致免疫色谱分析的设计更加高效。

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