Deciphering the Interface between Two-Dimensional Aluminum Quasicrystals and Norepinephrine Neurotransmitter
Source abstract
Abstract
Norepinephrine (NE) serves as a vital neurotransmitter, regulating various physiological and cognitive processes in the central nervous system. NE detection is crucial for improving diagnostic and therapeutic monitoring. The current study elucidates the molecular interactions of NE with a two-dimensional multielement aluminum quasicrystal (2D-Al 70 Co 10 Fe 5 Ni 10 Cu 5 (2D-Al QC)) through vibrational spectroscopy and theoretical simulations including geometry optimization, charge transfer dynamics, and bond length variations. The interaction dynamics are monitored in real-time at the atomic scale by in situ liquid cell transmission electron microscopy (LCTEM). The results confirm the binding of the –OH group of NE molecules with the aluminum atoms of the 2D-Al QC by Al–O bonding. Based on this binding mechanism, an electrochemical sensor is developed using the 2D-Al QC, for ultrasensitive and selective detection of NE. The sensor exhibits two distinct linear detection ranges: a higher range from 1 nM to 1 μM, and a lower range from 1 pM to 500 pM. The sensor achieves ultralow detection limits of 0.42 ± 0.02 nM and 0.17 ± 0.04 pM, with corresponding quantification limits of 1.28 ± 0.02 nM and 0.5 ± 0.04 pM. The sensor demonstrates outstanding selectivity against potential interferents, excellent reproducibility across seven electrodes with minimal variation of 3%, and sustained performance over 90 days with a negligible deviation of 4.6%. This work highlights the potential of 2D-Al QC-based electrochemical sensors as a robust, scalable platform for neurotransmitter detection, paving the way for enhanced point-of-care diagnostics and neurochemical monitoring.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Quasicrystal Structures and Properties · Nanocluster Synthesis and Applications · Surface Chemistry and Catalysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Nano Science and Technology
Indian Institute of Technology, Kharagpur
Department of Physics
Federal University of Parana, UFPR
Interdisciplinary Center for Science, Technology, and Innovation (CICTI)
Department of Physics, Faculty of Science
University of Allahabad
Department of Metallurgical Engineering
Indian Institute of Technology (BHU)
Hummingbird Scientific Pvt. Ltd.
Department of Electronics and Electrical Communication Engineering
Indian Institute of Technology Kharagpur
Metallurgical and Materials Engineering
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