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Gold nanostar and graphitic carbon nitride nanocomposite for serotonin detection in biological fluids and human embryonic kidney cell microenvironment

Lookup NU author(s): Professor Yen Nee Tan

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Abstract

© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature. A nanosensor comprising of gold nanostars (Au-Nstars)-graphitic carbon nitride (g-C3N4) nanocomposite layered on a glassy carbon electrode (GCE) to detect serotonin (ST) in various body fluids has been fabricated. The nanocomposite and the sensing platform have been thoroughly characterized with UV–visible spectroscopy (UV–vis), transmission electron microscopy (TEM), selected area electron diffraction (SAED), energy dispersive X-ray photoelectron spectroscopy (EDX), and electrochemical techniques such as cyclic voltammetry (CV), linear sweep voltammetry (LSV), and electrochemical impedance spectroscopy (EIS). The designed ST detection probe has achieved a linear dynamic range (LDR) in the range 5 × 10−7 and 1 × 10−3 M with a limit of detection (LOD) of 15.1 nM (RSD < 3.3%). The ST detection capability of the fabricated sensor ranges between the normal and several abnormal pathophysiological situations. The sensor effectively detects ST in real matrices such as urine and blood serum, thus, showing its direct diagnostic applicability. Additionally, the sensor has been tested in the microenvironment of human embryonic kidney (HEK) cells to assess the possibility of ST secretion in cell lines. Interferences because of co-existing molecules have been evaluated, and the shelf-life of the fabricated sensor has been obtained as 8 weeks. Graphical Abstract: [Figure not available: see fulltext.].


Publication metadata

Author(s): Kumar A, Purohit B, Azad UP, Yaraki MT, Dkhar DS, Tan YN, Srivastava A, Chandra P

Publication type: Article

Publication status: Published

Journal: Microchimica Acta

Year: 2023

Volume: 190

Issue: 1

Online publication date: 05/01/2023

Acceptance date: 01/12/2022

ISSN (print): 0026-3672

ISSN (electronic): 1436-5073

Publisher: Springer Nature

URL: https://doi.org/10.1007/s00604-022-05612-y

DOI: 10.1007/s00604-022-05612-y

PubMed id: 36602584


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