Your browser doesn't support javascript.
loading
Sialic Acid-Functionalized Gold Nanoparticles for Sensitive and Selective Colorimetric Determination of Serotonin.
Avci, Begüm; Akpinar, Yeliz; Ertas, Gülay; Volkan, Mürvet.
Afiliação
  • Avci B; Department of Chemistry, Middle East Technical University, 06800 Ankara, Turkey.
  • Akpinar Y; Department of Chemistry, Kirsehir Ahi Evran University, 40100 Kirsehir, Turkey.
  • Ertas G; Department of Chemistry, Middle East Technical University, 06800 Ankara, Turkey.
  • Volkan M; Department of Chemistry, Middle East Technical University, 06800 Ankara, Turkey.
ACS Omega ; 9(22): 23832-23842, 2024 Jun 04.
Article em En | MEDLINE | ID: mdl-38854544
ABSTRACT
We present a novel colorimetric method inspired by nature's complex mechanisms, capable of selectively determining serotonin with high sensitivity. This method exploits the inherent binding affinity of serotonin with sialic acid (SA) molecules anchored to gold nanoparticles (SA-AuNPs). Upon serotonin binding, SA-AuNPs aggregate, and a characteristic red shift in the absorbance of SA-AuNPs accompanied by a dramatic color change (red to blue) occurs, readily observable even without instrumentation. The proposed method effectively eliminates interventions from potential interfering species such as dopamine, epinephrine, l-tyrosine, glucosamine, galactose, mannose, and oxalic acid. The absence of a color change with l-tryptophan, a structurally related precursor of serotonin, further confirms the high selectivity of this approach for serotonin detection. The colorimetric method has a wide linear dynamic range (0.05-1.0 µM), low limit of detection (0.02 µM), and fast response time (5 min). The limit of detection of the method is lower than other colorimetric serotonin sensors reported so far. The possible use of the proposed method in biological sample analysis was evaluated by employing a serotonin recovery assay in processed human plasma. The recoveries ranged from 90.5 to 104.2%, showing promising potential for clinical applications.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article