Integrated Electro-Optical Sensor Systems Lab
Dr. Emre DOKUZPARMAK's LAB
General Background:
The Integrated Electro-Optical Sensor Systems Laboratory conducts interdisciplinary research on the design, development, and integration of advanced electrochemical and integrated photonic sensing platforms based on physico-chemical and electrochemical principles. The laboratory’s core vision is to integrate molecular recognition mechanisms with electro-optical transduction strategies to develop next-generation sensor architectures characterized by high sensitivity, selectivity, and portability.
Our research focuses on molecularly imprinted polymers (MIPs), synthetic receptor systems, mini-peptide-based biorecognition elements, and functional nanomaterials. These selective structures are combined with electrochemical techniques, electrochemiluminescence (ECL) systems, and integrated photonic microring resonator-based sensor platforms to construct multimodal and hybrid detection systems.
The laboratory is dedicated to advancing sensor technologies across a broad range of applications, including forensic analysis, biomedical diagnostics, point-of-care monitoring systems, and environmental surveillance. The development of reliable, quantitative, and field-deployable sensing platforms capable of operating in complex biological and environmental matrices is among our primary objectives.
Machine learning and artificial intelligence-based algorithms are integrated into our research workflows for multivariate sensor data analysis, pattern recognition, calibration strategies, and predictive modeling. In addition, computational chemistry and AI-assisted molecular modeling approaches are employed to rationally design selective binding sites and to optimize sensor architectures based on analytical performance criteria and molecular interaction mechanisms.
By integrating nanomaterial synthesis, polymer engineering, surface functionalization, electrochemical characterization, and integrated photonic measurement infrastructure, the laboratory aims to develop high-performance, sustainable sensing systems based on hybrid transduction principles. Through an interdisciplinary framework that bridges fundamental science and applied engineering, the laboratory strives to deliver innovative solutions in healthcare, environmental sustainability, and forensic science.
Selected Scientific Publications:
1. Allahyari, M., Dokuzparmak, E., Erdem, A., Akkaya, A., & Tanyolac, B. (2025). Phage-based dual-mode sensor using ECL and EIS for sensitive detection of Pseudomonas Aeruginosa. Bioelectrochemistry, 109212.
2. Özçelik, H., Sezer, E., Yaşar, E., Güner, T., Dokuzparmak, E., & Akgöl, S. (2025). Artificial intelligence-assisted design of molecularly imprinted polymers for enriching C-reactive protein. Materials Chemistry and Physics, 131849.
3. Dokuzparmak, E., Sezer, E., Güner, T., Yasar, E., Ozcelik, H., & Akgol, S. (2025). Hybrid intelligence-driven nanopolymeric sensor for precise electrochemical vitamin C analysis, free from LoD: application in real lemon juice. ACS Applied Electronic Materials, 7(15), 6980-6993.
4. Sezer, E., Dokuzparmak, E., Özçelik, H., Yasar, E., Kaya, T., Güner, T., & Akgol, S. (2025). Harnessing machine learning to revolutionize electrochemical detection of vitamin E acetate in e-liquids. ACS omega, 10(25), 27098-27111.
5. Yaşar, E., Özçelik, H., Güner, T., Dokuzparmak, E., & Akgöl, S. (2024). Molecular imprinting based sensor system developed using polymeric nanoparticles for detecting 17β‐estradiol in agricultural wastewater. Journal of Applied Polymer Science, 141(47), e56276.
6. Dokuzparmak, E., Brown, K., & Dennany, L. (2021). Electrochemiluminescent screening for methamphetamine metabolites. Analyst, 146(10), 3336-3345.
