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利用偏置场依赖频率混合磁检测技术对磁珠进行多重检测。

Multiplex Detection of Magnetic Beads Using Offset Field Dependent Frequency Mixing Magnetic Detection.

机构信息

Institute of Biological Information Processing-Biolelectronics (IBI-3), Forschungszentrum Jülich, 52425 Jülich, Germany.

Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen University, 52062 Aachen, Germany.

出版信息

Sensors (Basel). 2021 Aug 31;21(17):5859. doi: 10.3390/s21175859.


DOI:10.3390/s21175859
PMID:34502749
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8433651/
Abstract

Magnetic immunoassays employing Frequency Mixing Magnetic Detection (FMMD) have recently become increasingly popular for quantitative detection of various analytes. Simultaneous analysis of a sample for two or more targets is desirable in order to reduce the sample amount, save consumables, and save time. We show that different types of magnetic beads can be distinguished according to their frequency mixing response to a two-frequency magnetic excitation at different static magnetic offset fields. We recorded the offset field dependent FMMD response of two different particle types at frequencies + ⋅, = 1, 2, 3, 4 with = 30.8 kHz and = 63 Hz. Their signals were clearly distinguishable by the locations of the extremes and zeros of their responses. Binary mixtures of the two particle types were prepared with different mixing ratios. The mixture samples were analyzed by determining the best linear combination of the two pure constituents that best resembled the measured signals of the mixtures. Using a quadratic programming algorithm, the mixing ratios could be determined with an accuracy of greater than 14%. If each particle type is functionalized with a different antibody, multiplex detection of two different analytes becomes feasible.

摘要

基于频混磁检测(Frequency Mixing Magnetic Detection,FMMD)的磁性免疫分析最近在各种分析物的定量检测中变得越来越流行。为了减少样品用量、节省耗材和节省时间,同时分析样品中的两个或更多目标是很理想的。我们证明,根据它们在不同静态磁场偏置场下对双频磁激励的频混响应,可以区分不同类型的磁珠。我们记录了两种不同颗粒类型在频率 + ⋅, = 1, 2, 3, 4 时的偏置场依赖的 FMMD 响应,其中 = 30.8 kHz 和 = 63 Hz。它们的信号可以通过响应的极值和零点的位置来清晰地区分。用不同混合比制备了两种颗粒类型的二元混合物。通过确定两个纯成分的最佳线性组合来分析混合物样品,该组合最接近混合物的实测信号。使用二次规划算法,可以以大于 14%的精度确定混合比。如果每种颗粒类型都用不同的抗体功能化,就可以实现两种不同分析物的多重检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/4e90841127cf/sensors-21-05859-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/15d724a3dd9b/sensors-21-05859-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/faede9cc1212/sensors-21-05859-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/3dbba36c7fc3/sensors-21-05859-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/95ef4e179086/sensors-21-05859-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/a3b914a5a736/sensors-21-05859-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/8cba98ba7e86/sensors-21-05859-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/4e90841127cf/sensors-21-05859-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/15d724a3dd9b/sensors-21-05859-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/faede9cc1212/sensors-21-05859-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/3dbba36c7fc3/sensors-21-05859-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/95ef4e179086/sensors-21-05859-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/a3b914a5a736/sensors-21-05859-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/8cba98ba7e86/sensors-21-05859-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/774f/8433651/4e90841127cf/sensors-21-05859-g007.jpg

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引用本文的文献

[1]
Fundamentals and Applications of Dual-Frequency Magnetic Particle Spectroscopy: Review for Biomedicine and Materials Characterization.

Adv Sci (Weinh). 2025-4

[2]
Open-loop narrowband magnetic particle imaging based on mixed-frequency harmonic magnetization response.

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[3]
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[4]
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[5]
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Int J Mol Sci. 2023-12-8

[6]
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本文引用的文献

[1]
Comparative Modeling of Frequency Mixing Measurements of Magnetic Nanoparticles Using Micromagnetic Simulations and Langevin Theory.

Nanomaterials (Basel). 2021-5-11

[2]
Use of Super Paramagnetic Iron Oxide Nanoparticles as Drug Carriers in Brain and Ear: State of the Art and Challenges.

Brain Sci. 2021-3-11

[3]
Investigation of Commercial Iron Oxide Nanoparticles: Structural and Magnetic Property Characterization.

ACS Omega. 2021-2-26

[4]
A Perspective on Cell Tracking with Magnetic Particle Imaging.

Tomography. 2020-12

[5]
A Novel Method for Antibiotic Detection in Milk Based on Competitive Magnetic Immunodetection.

Foods. 2020-11-30

[6]
Magnetic Particles for CTC Enrichment.

Cancers (Basel). 2020-11-26

[7]
Sensitive Aflatoxin B1 Detection Using Nanoparticle-Based Competitive Magnetic Immunodetection.

Toxins (Basel). 2020-5-20

[8]
Magnetic Particle Spectroscopy for Detection of Influenza A Virus Subtype H1N1.

ACS Appl Mater Interfaces. 2020-3-13

[9]
Sensitive and rapid detection of cholera toxin subunit B using magnetic frequency mixing detection.

PLoS One. 2019-7-5

[10]
Multiplex Detection of Different Magnetic Beads Using Frequency Scanning in Magnetic Frequency Mixing Technique.

Sensors (Basel). 2019-6-7

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