Journal Article

·2026

β-Cyclodextrin Modified Paper-Based Electrodes Fabricated with Ti3C2Tx MXene/NiO Conductive Ink for Selective Non-Enzymatic Phenylalanine Detection

Ebrar Dokur YTU , Ozge Gorduk YTU , Semih Gördük YTU , Yücel Şahin YTU

Journal of The Electrochemical Society

Abstract

Abstract Phenylalanine (Phe), an essential amino acid, plays a critical role in key biological processes, including protein biosynthesis and neurotransmitter production. It also serves as a biomarker in the diagnosis of diseases that may result in severe neurological damage, such as phenylketonuria. Therefore, the development of selective and sensitive sensing platforms for Phe detection is of great importance. In this study, a novel non-enzymatic electrochemical detection platform was developed based on a Ti3C2Tx MXene/NiO conductive ink integrated onto paper-based screen-printed electrodes (SPEs). The high surface area and adsorption capability of the MXene/NiO composite enabled the effective immobilization of β-cyclodextrin (β-CD) onto the electrode surface, promoting selective Phe recognition via host-guest interactions. Under optimized conditions, the sensor exhibited a wide linear range from 0.05 to 1000 µM and a low detection limit of 0.0157 µM for Phe determination. The platform also showed good selectivity against common interfering species. In artificial sample analysis, recovery% values ranged from 97.0% to 114.0%, with RSD% values between 2.68% and 3.50%, indicating acceptable accuracy and precision. Morphological, structural, and electrochemical characterizations were performed. These results demonstrate that the proposed platform offers a promising, low-cost, and versatile strategy for the development of flexible and wearable electrochemical sensors.

Keywords

Electrode Detection limit Electrochemistry Electrical conductor Adsorption Selectivity Composite number Biosensor Materials science Nanotechnology

Subject Areas

MXene and MAX Phase Materials ·Materials Chemistry ·Physical Sciences
Electrochemical sensors and biosensors ·Electrical and Electronic Engineering ·Physical Sciences
Advanced biosensing and bioanalysis techniques ·Molecular Biology ·Life Sciences