Fullerene-based mimics of enhanced acetylcholine detection for the diagnosis of Alzheimer's disease


Soylemez S., DOLGUN V., ÖZÇUBUKÇU S.

Microchemical Journal, vol.193, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 193
  • Publication Date: 2023
  • Doi Number: 10.1016/j.microc.2023.109099
  • Journal Name: Microchemical Journal
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, CAB Abstracts, Chemical Abstracts Core, Chimica, Food Science & Technology Abstracts, Index Islamicus, Veterinary Science Database
  • Keywords: Acetylcholine, Alzheimer, Electrochemical sensor, Enzyme mimic, Fullerenol derivatives
  • Middle East Technical University Affiliated: Yes

Abstract

The design of sensitive and cost-effective enzyme-free sensor systems for the effective electrooxidation of acetylcholine (ACh) plays a key role in following up on Alzheimer's disease. We report a fullerenzyme-based catalyst (F-HS) for the electrochemical detection of ACh that mimics enzymatic active sites using multifunctional self-assembled nanostructures. As a proof-of-concept, histidine and serine amino acid-based functionalization of fullerenzymes was used, along with embedded nickel ions (F-HS-Ni), which tend to coordinate with the nitrogen of the imidazole ring of the histidine moiety. Further, the electrode modifier properties of the resulting material were examined for sensor applications. Enhanced cyclic voltammetry and chronoamperometric measurements affirmed that the F-HS-Ni material displayed the most prominent activity for the electrocatalytic oxidation of ACh, allowing an amperometric response in a linear range of ACh concentrations of 20–6000 μM with a low detection limit of 8.01 μM. Furthermore, the platform allows for the detection of ACh with a good rate of recovery in human serum samples, offering a good potential method for the quick detection and diagnosis of Alzheimer's.