Journal Article FZJ-2023-01641

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Graphene quantum dots-based magnetic relaxation switch involving magnetic separation for enhanced performances of endoglin detection using ultra-low-field nuclear magnetic resonance relaxometry

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2023
Elsevier Science Amsterdam [u.a.]

Sensors and actuators <Lausanne> / B 380, 133389 - () [10.1016/j.snb.2023.133389]

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Abstract: Magnetic relaxation switches (MRS) based on target-induced state changes of magnetic nanoparticles are vital approaches for biomolecule detection in in vitro diagnosis. Recently, magnetic graphene quantum dots have been employed as magnetic probes instead of iron oxide nanoparticles and showed high sensitivity. Introducing magnetic separation into an MRS assay before the relaxometry measurements can enhance the sensitivity, elevateaccuracy, and expand the linear region. In this work, magnetic separation-assisted MRS was developed to detect endoglin utilizing iron oxide as the magnetic carrier and magnetic graphene quantum dots as the magnetic probe. The assay possesses a broad linear region from 5 ng/mL to 50 μg/mL and a sensitive limit of detection of 1.3 ng/mL, which is two orders of magnitude lower than that of MRS without magnetic separation. The high accuracy and consistency have been proved for endoglin (CD105) detection in real samples. This graphene quantum dotbased MRS involving magnetic separation provides a new route for enhancing the sensitivity and accuracy of biomolecule detection.

Classification:

Contributing Institute(s):
  1. Bioelektronik (IBI-3)
Research Program(s):
  1. 5241 - Molecular Information Processing in Cellular Systems (POF4-524) (POF4-524)

Appears in the scientific report 2023
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Medline ; Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; Embargoed OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Datensatz erzeugt am 2023-03-30, letzte Änderung am 2023-10-27


Published on 2023-01-18. Available in OpenAccess from 2025-01-18.:
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