Journal Article FZJ-2020-04966

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LSPR-based colorimetric immunosensor for rapid and sensitive 17β-estradiol detection in tap water

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2020
Elsevier Science Amsterdam [u.a.]

Sensors and actuators <Lausanne> / B 308, 127699 - () [10.1016/j.snb.2020.127699]

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Abstract: We propose a highly sensitive immunosensor based on the Localized Surface Plasmon Resonance (LSPR) for 17β-estradiol (E2) quantification in water. E2 molecules are recognized by polyclonal antibodies immobilized onto gold nanoparticles (AuNPs) and act as linkers that cause nanoparticles aggregation. This leads to the change in the optical properties of the solution visible even by naked eyes. The aggregates were characterized by Dynamic Light Scattering (DLS) and Scanning Transmission Electron Microscopy (STEM) that provided an accurate assessment of the inter-particle distance. The finite-difference time-domain (FDTD) method applied to a Mie problem like workspace allowed us to describe the optical behaviour of the AuNP aggregates with excellent agreement between the experimental and numerical results. The limit of detection (LOD), without any preconcentration step, is 3 pg/mL (11 pM), whereas the detection range extends over five decades up to 105 pg/mL. The proposed E2 immunosensor was tested in tap water, where no significant cross-reaction signal was detected by similar molecules (testosterone, progesterone, estrone and estriol). The device described here represents a significant improvement of low E2 levels determination in terms of affordability, time and measuring simplicity, making it suitable for environmental applications.

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 2020
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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 2020-12-07, letzte Änderung am 2023-03-28


Published on 2020-01-10. Available in OpenAccess from 2022-01-10.:
manuscript_Minopoli_Elsevier SNB_rev_2 - Volltext herunterladen PDF
Supplementary Material Minopoli_Elsevier SNB_rev_2 - Volltext herunterladen PDF
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