| Yazarlar |
Begüm Avcı
Middle East Technical University (METU), Turkey |
Dr. Öğr. Üyesi Yeliz AKPINAR
Kırşehir Ahi Evran Üniversitesi, Türkiye |
|
Gülay Ertaş
Middle East Technical University (METU), Turkey |
|
Mürvet Volkan
Middle East Technical University (METU), Turkey |
| Özet |
| 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. |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
| Dergi Adı | ACS OMEGA |
| Dergi ISSN | 2470-1343 |
| Dergi Grubu | Q2 |
| Makale Dili | İngilizce |
| Basım Tarihi | 05-2024 |
| Cilt No | 9 |
| Sayı | 22 |
| Sayfalar | 23832 / 23842 |
| Doi Numarası | 10.1021/acsomega.4c01859 |
| Atıf Sayıları | |
| WoS | 3 |
| SCOPUS | 3 |
| Google Scholar | 3 |
