Molecularly Imprinted Electrochemical Sensor Based on Cu<sub><i>x</i></sub>O/MXene Nanocomposite for Sensing of Melatonin

A molecularly imprinted electrochemical sensor was designed for the quantitative and efficient detection of melatonin (MT) based on a CuxO/MXene modified screen-printed carbon electrode (MIP/CuxO/MXene/SPCE). Herein, the CuxO/MXene nanocomposite was prepared via a hydrothermal method. The CuxO was uniformly dispersed on the surface and the interlayers of the MXene, forming hybrid heterostructures. The encapsulated CuxO increased the interlayer distance of the MXene matrix to bring more active sites and accelerated the oxidation reaction of melatonin molecules, and thereby the electrochemical response of the sensor was improved. The MIP was constructed by electropolymerization of o-phenylenediamine (o-PD) in the presence of MT on the surface of the CuxO/MXene/SPCE. The morphology and chemical composition of the hybrid film were characterized by scanning electron microscopy and X-ray photoelectron spectroscopy; the electrochemical behaviors of the sensor were evaluated by cyclic voltammetry and electrochemical impedance spectroscopy. Under the optimal conditions, the MIP/CuxO/MXene/SPCE sensor had a wide linear detection range of 5–700 μM and a low detection limit of 0.029 μM (S/N = 3) for MT. The sensor also showed excellent selectivity, reproducibility, and stability. Finally, it was successfully applied for MT detection in human urine with satisfactory recovery. Overall, this study provided a sensitive and efficient strategy for the determination of MT.

Authors

Institutions

Publication Details

Journal
ACS Applied Nano Materials
Published
2024-09-26
DOI
https://doi.org/10.1021/acsanm.4c04050
Citations
11
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
2.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecularly Imprinted Electrochemical Sensor Based on CuxO/MXene Nanocomposite for Sensing of Melatonin

Meng Gao, Hao Yu, Min Fu, Wenbin Wang et al.
11 citations
ACS Applied Nano Materials
Electrochemical sensors and biosensors
2.30
article

Molecularly Imprinted Electrochemical Sensor Based on CuxO/MXene Nanocomposite for Sensing of Melatonin

Meng Gao, Hao Yu, Min Fu, Wenbin Wang, Xinyu Wang, Wei Chen
article en
11 citations

Abstract

A molecularly imprinted electrochemical sensor was designed for the quantitative and efficient detection of melatonin (MT) based on a CuxO/MXene modified screen-printed carbon electrode (MIP/CuxO/MXene/SPCE). Herein, the CuxO/MXene nanocomposite was prepared via a hydrothermal method. The CuxO was uniformly dispersed on the surface and the interlayers of the MXene, forming hybrid heterostructures. The encapsulated CuxO increased the interlayer distance of the MXene matrix to bring more active sites and accelerated the oxidation reaction of melatonin molecules, and thereby the electrochemical response of the sensor was improved. The MIP was constructed by electropolymerization of o-phenylenediamine (o-PD) in the presence of MT on the surface of the CuxO/MXene/SPCE. The morphology and chemical composition of the hybrid film were characterized by scanning electron microscopy and X-ray photoelectron spectroscopy; the electrochemical behaviors of the sensor were evaluated by cyclic voltammetry and electrochemical impedance spectroscopy. Under the optimal conditions, the MIP/CuxO/MXene/SPCE sensor had a wide linear detection range of 5–700 μM and a low detection limit of 0.029 μM (S/N = 3) for MT. The sensor also showed excellent selectivity, reproducibility, and stability. Finally, it was successfully applied for MT detection in human urine with satisfactory recovery. Overall, this study provided a sensitive and efficient strategy for the determination of MT.

ACS Applied Nano MaterialsVol. 7(19)
Shandong University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 11%
Electrochemical sensors and biosensors
2.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.