journal article·2023-03

Iron Single‐Atom Catalysts on MXenes for Ultrasensitive Monitoring of Adrenal Tumor Markers and Cellular Dopamine

Saptami Suresh Shetty, Jehad K. El‐Demellawi, Yusuf Khan, Mohamed N. Hedhili, P. Arul, Veerappan Mani, Husam N. Alshareef, Khaled Nabil Salama

Advanced Materials Technologies· Volume 8· Issue 6
Publisher page

Abstract

Abstract Neuroblastoma and pheochromocytoma are the most prevalent malignancies of the adrenal medulla. They are currently diagnosed by measuring urinary catecholamines using high‐performance liquid chromatography‐mass spectrometry, which is expensive, bulky, and tedious. Electrochemical detectors stand out as low‐cost alternatives; however, further development of functional materials with adequate sensitivity is still required to attain clinically useful diagnostic devices. Here, Ti3C2Tx MXene nanosheets stabilized with iron single‐atom catalysts (Fe‐SACs), anchored on the surface, are synthesized and utilized as efficient electrocatalysts for the determination of catecholamine (dopamine (DA)) and its end‐products (vanillylmandelic acid (VMA) and homovanillic acid (HVA)). The Fe‐SACs/Ti3C2Tx exhibits low oxidation overpotentials with high signal amplifications up to 610%, 290%, and 420%, and sensitive detection limits of 1.0, 5.0, and 10 nM for DA, VMA, and HVA, respectively. The presence of the atomic Fe elements on the Ti3C2Tx nanosheets is confirmed using high‐resolution scanning transmission electron microscopy and X‐ray photoelectron spectroscopy. The Fe‐SACs/Ti3C2Tx sensor tracks the in situ production of DA in PC12 cells and found practically useful in analyzing human urine samples. The Fe‐SACs/Ti3C2Tx stands out as a sensitive diagnostic platform for evaluating the progression of tumors and the quality of cellular DA communications
Source: crossref · Quality: baseline

Research context

OpenAlex topics: MXene and MAX Phase Materials · 2D Materials and Applications · Advanced Photocatalysis Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Sensors Lab Advanced Membranes and Porous Materials Center Computer Electrical and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955‐6900 Saudi Arabia

Physical Science and Engineering (PSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955‐6900 Saudi Arabia

Core Labs King Abdullah University of Science and Technology (KAUST) Thuwal 23955‐6900 Saudi Arabia

Institute of Biochemical and Biomedical Engineering Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei 106 Taiwan, ROC

Funding

King Abdullah University of Science and Technology

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