High sensitivity and optimum design of LSPR-based sensors by coupled nano-rings for cancer detection

Abdi, Ghazal; Bahador, Hamid

doi:10.1016/j.optlaseng.2023.107975

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…This shift, which is often mediated by electrostatic forces, hydrogen bonds, or even chemical reactions, allows for the visual detection of the analyte. 37−39 Detection methods developed in recent years based on the LSPR phenomenon are very sensitive and can be used in the determination of different analytes like pesticides, 40 amino acids, 41 cancer cells, 42 and metabolites. 43 Developing a method for the determination of serotonin in the biological environment is challenging due to both the complexity of the molecule and the interference effects of the matrix.…”

Section: Introductionmentioning

confidence: 99%

“…By engineering the interaction between the nanoparticles’ surface and the analyte, a color shift can be generated. This shift, which is often mediated by electrostatic forces, hydrogen bonds, or even chemical reactions, allows for the visual detection of the analyte. − Detection methods developed in recent years based on the LSPR phenomenon are very sensitive and can be used in the determination of different analytes like pesticides, amino acids, cancer cells, and metabolites …”

Section: Introductionmentioning

confidence: 99%

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Sialic Acid-Functionalized Gold Nanoparticles for Sensitive and Selective Colorimetric Determination of Serotonin

Avcı,

Akpınar,

Ertaş

et al. 2024

ACS Omega

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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.

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