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Biomaterials Research group · Acıbadem Mehmet Ali Aydınlar University

ACU-BCBL — Biosensors and Computational Biomedicine Laboratory

Next-generation biosensor platforms built on functional materials and machine learning, within the Biomaterials Center.

  • 7members
  • 6projects
  • 1partner
Scanning electron microscope column and a micrograph on screen

What we work on

The ACU Biosensors and Computational Biomedicine Laboratory (ACU-BCBL) operates within the Acıbadem University Biomaterials Center and focuses on innovative sensor technologies and functional materials. Its aim is to raise the performance of diagnostic and monitoring systems and to develop next-generation biosensor platforms supported by machine learning and advanced materials engineering, offering solutions in both basic science and clinical application.

Recent work includes machine-learning model chaining to study how impedance measurement parameters affect the limit of detection of QCM-D sensors (IEEE Sensors Journal, 2025), a hydrogel-integrated heart-on-a-chip platform for myocardial ischaemia markers (ACS Omega, 2024), peptide-based detection of SARS-CoV-2 antibodies (Biomimetics, 2023) and label-free genetic detection of enteropathogens in stool without isolation or amplification (Biosensors & Bioelectronics). The laboratory is a partner in the TÜBİTAK 2515 COST project on a point-of-care nanosensor for acute kidney injury after cardiac surgery.

Lab website

Team 7

Principal investigator Asst. Prof. Elçim Elgün Kırımlı Assistant Professor of Computer Engineering; ACU Biosensors and Computational Biomedicine Laboratory Works on machine-learning-assisted biosensing at ACU-BCBL, from quartz crystal microbalance impedance analysis to point-of-care diagnostics.

Projects & funders

Selected outputs

  1. 2025

    KIRIMLI C. E., KIRIMLI E. E., Yuksel M. M., Tugtag S. Y. An Investigation Into the Impact of Impedance Measurement Parameters on the Limit of Detection of QCM-D Using Machine Learning Model Chaining. IEEE SENSORS JOURNAL, vol.25, no.3, pp.5688-5696, 2025.

  2. 2024

    Aydınlar A., Mavi A., Kütükçü E., KIRIMLI E. E., ALİS D. C., AKIN A., et al. Awareness and level of digital literacy among students receiving health-based education. BMC Medical Education, vol.24, no.1, 2024.

  3. 2024

    Ates B., Eroglu T., Sahsuvar S., KIRIMLI C. E., Kocaturk O., SENAY S., et al. Hydrogel-Integrated Heart-on-a-Chip Platform for Assessment of Myocardial Ischemia Markers. ACS Omega, vol.9, no.41, pp.42103-42115, 2024.

  4. 2024

    AKIN A., Yorgancıgil E., Öztürk O. C., SÜTÇÜBAŞI B., KIRIMLI C. E., Elgün Kırımlı E. E., et al. Small world properties of schizophrenia and OCD patients derived from fNIRS based functional brain network connectivity metrics. SCIENTIFIC REPORTS, vol.14, no.1, 2024.

  5. 2023

    Bulut A., Temur B. Z., Kirimli C. E., Gok Ö., Balcioglu B. K., Ozturk H. U., et al. A Novel Peptide-Based Detection of SARS-CoV-2 Antibodies. BIOMIMETICS, vol.8, no.1, 2023.

  6. 2022

    Kırımlı E. E., Kırımlı C. E. A Comparison of Impedance and Antenna Analyzers on the Basis of Machine Learning Assisted Limit of Detection Experiments. 2022-International Workshop on Impedance Spectroscopy (IWIS), vol.1, no.1, pp.61-65, 2022 (Conference Book).

  7. 2022

    KIRIMLI C. E., Elgun E. E., Unal U. Machine learning approach to optimization of parameters for impedance measurements of Quartz Crystal Microbalance to improve limit of detection. Biosensors and Bioelectronics: X, vol.10, 2022.

  8. 2019

    Han S., SOYLU M. Ç., KIRIMLI C. E., Wu W., Sen B., Joshi S. G., et al. Rapid, label-free genetic detection of enteropathogens in stool without genetic isolation or amplification. BIOSENSORS & BIOELECTRONICS, vol.130, pp.73-80, 2019.

  9. 2018

    Kirimli C. E., Lin S., Su Y., Shih W., Shih W. Y. In situ, amplification-free double-stranded mutation detection at 60 copies/ml with thousand-fold wild type in urine. BIOSENSORS & BIOELECTRONICS, vol.119, pp.221-229, 2018.

  10. 2017

    Kirimli C. E., Shih W., Shih W. Y. Piezoelectric Plate Sensor (PEPS) for Analysis of Specific KRAS Point Mutations at Low Copy Number in Urine Without DNA Isolation or Amplification. BIOSENSORS AND BIODETECTION: METHODS AND PROTOCOLS, VOL 2: ELECTROCHEMICAL, BIOELECTRONIC, PIEZOELECTRIC, CELLULAR AND MOLECULAR BIOSENSORS, 2ND EDITION, vol.1572, pp.327-348, 2017.

Collaborations 1

Necmettin Erbakan University, Konya Acıbadem University, İstanbul
  • Necmettin Erbakan University Konya, Türkiye

From the group

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We invite researchers and students to explore our work and to discuss collaboration on sensors, impedance analysis and machine learning for biomedicine.

Open to rotation students

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