Deep Eutectic Solvent-Mediated Synthesis of Spinel Zinc Chromite Nanoparticles: A Simple Label-Free Electrochemical Sensor for Dopamine and Ascorbic Acid
Source abstract
Abstract
Dopamine (DA) and ascorbic acid (AA) abnormal concentrations are intimately associated with many disorders, making the detection of these tiny molecules essential for keeping track of metabolic processes and preserving health. Due to its practicality from an economic standpoint, great sensitivity, and outstanding selectivity, electrochemical detection is a common technique for detecting tiny compounds. This technique’s creation and use are equally crucial and cannot be disregarded. Due to their high surface-to-volume ratio and distinctive characteristics, nanomaterials are well-suited for various applications. In this study, we synthesized ZnCr 2 O 4 nanoparticles using an easy hydrothermal method. Given the difficulty of synthesizing nanoparticles and their importance in modern society, our research concentrated on this field. Based on statistical analysis, our results are consistent with the fabrication approach’s anticipated results. This research aims to create electrochemical sensors that detect AA and DA in real time using ZnCr 2 O 4 nanocatalysts. The constructed sensor’s oxidation potential is also significantly lower than that of recently published sensors of DA ( E pa = 0.25 V) and AA ( E pa = 0.45 V). In the concentration range of DA = 0.001–139 μM and AA = 0.01–126 μM, the suggested ZnCr 2 O 4 /GCE electrochemical sensing medium was used to detect AA and DA with great sensitivity. For AA and DA, the sensor demonstrated a detection limit of DA = 0.18 nM and AA = 12.56 nM. Furthermore, the ZnCr 2 O 4 /GCE sensor was an excellent tool for a technical feasibility study because the chosen possible interferences did not affect AA and DA sensing.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electrochemical sensors and biosensors · Conducting polymers and applications · Electrochemical Analysis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Materials and Mineral Resources Engineering, National Taipei University of Technology, Taipei 106, Taiwan
Super Micro Mass Research and Technology Center, Cheng Shiu University, Kaohsiung 833301, Taiwan
Center for Environmental Toxin and Emerging-Contaminant Research, Cheng Shiu University, Kaohsiung 833301, Taiwan
Department of Photonics, National Cheng Kung University, Tainan 701, Taiwan
Funding
National Science and Technology Council
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