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Multiphysics-guided design of ZIF-67/MWCNT-modified electrodes for highly selective electrochemical detection of sunset yellow in complex food matrices

Hamza Abu OwidaDepartment of Medical Engineering, Faculty of Engineering, Al-Ahliyya Amman University, Amman, JordanSuleiman Ibrahim MohammadElectronic Marketing and Social Media, Economic and Administrative Sciences Zarqa University, JordanQusay Abdulsattar MohammedCollege of Dentistry, University of Al Maarif, Al Anbar, 31001, IraqAsokan VasudevanFaculty of Business and Communications, INTI International University, Negeri Sembilan, 71800, MalaysiaNormurоt FayzullaevDepartment of Polymer Chemistry and Chemical Technology, Samarkand State University, Samarkand, 140101, UzbekistanSubbulakshmi GanesanDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, IndiaRenu SharmaDepartment of Chemistry, University Institute of Sciences, Chandigarh University, Mohali, Punjab, IndiaAnupam AgarwalDepartment of Chemistry and Biochemistry, Sharda School of Engineering & Science, Sharda University, Greater Noida, IndiaYesudass SasikumarDepartment of Chemistry, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, IndiaMilad SafamaneshYoung Researchers and Elite Club, Tehran Branch, Islamic Azad University, Tehran, Iran
RSC Advancesjournal2026en
ABI

Аннотация

at pH 7 and a 5 µm composite layer, while maintaining negligible faradaic contributions from ascorbic acid, citric acid, aspartame, and acesulfame potassium. Parametric simulations reveal robust performance under thermal variations (298-328 K), minimal sensitivity to electrolyte disturbances, and a direct correlation between surface heterogeneity and current attenuation. Model validation against experimental electrochemical impedance spectroscopy yields a low RMSE (0.0621), confirming predictive accuracy. These findings demonstrate how multiphysics analysis can rationally guide electrode engineering, offering a powerful design strategy for next-generation electrochemical sensors. The proposed platform provides a selective, sensitive, and scalable solution for trace-level SY detection, underscoring its relevance for food safety monitoring and real-sample analysis.

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