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Autor(en) / Beteiligte
Titel
The Method and Study of Detecting Phenanthrene in Seawater Based on a Carbon Nanotube-Chitosan Oligosaccharide Modified Electrode Immunosensor
Ist Teil von
  • Molecules (Basel, Switzerland), 2023-07, Vol.28 (15), p.5701
Ort / Verlag
Switzerland: MDPI AG
Erscheinungsjahr
2023
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • Phenanthrene (PHE), as a structurally simple, tricyclic, polycyclic aromatic hydrocarbon (PAHs), is widely present in marine environments and organisms, with serious ecological and health impacts. It is crucial to study fast and simple high-sensitivity detection methods for phenanthrene in seawater for the environment and the human body. In this paper, a immunosensor was prepared by using a multi-wall carbon nanotube (MWCNTs)-chitosan oligosaccharide (COS) nanocomposite membrane loaded with phenanthrene antibody. The principle was based on the antibody-antigen reaction in the immune reaction, using the strong electron transfer ability of multi-walled carbon nanotubes, coupled with chitosan oligosaccharides with an excellent film formation and biocompatibility, to amplify the detection signal. The content of the phenanthrene in seawater was studied via differential pulse voltammetry (DPV) using a potassium ferricyanide system as a redox probe. The antibody concentration, pH value, and probe concentration were optimized. Under the optimal experimental conditions, the response peak current of the phenanthrene was inversely proportional to the concentration of phenanthrene, in the range from 0.5 ng·mL to 80 ng·mL , and the detection limit was 0.30 ng·mL . The immune sensor was successfully applied to the detection of phenanthrene in marine water, with a recovery rate of 96.1~101.5%, and provided a stable, sensitive, and accurate method for the real-time monitoring of marine environments.
Sprache
Englisch
Identifikatoren
ISSN: 1420-3049
eISSN: 1420-3049
DOI: 10.3390/molecules28155701
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_6f2ed2d529a9453b9079820bcdc3569c

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