Design and Simulation of the Microcantilever Biosensor for MITF Antigen and D5 Monoclonal Antibody Interaction Finite Element Analysis, and Experimental


Akcali P., Kelleci K., ÖZER S.

Current Protein and Peptide Science, cilt.25, sa.3, ss.256-266, 2024 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 3
  • Basım Tarihi: 2024
  • Doi Numarası: 10.2174/0113892037259122231013153546
  • Dergi Adı: Current Protein and Peptide Science
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Biotechnology Research Abstracts, Chemical Abstracts Core, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.256-266
  • Anahtar Kelimeler: AFM cantilever, antibody-antigen interaction, antiMITF antibody, finite element analysis, mode shapes, Resonance frequency
  • İstanbul Yeni Yüzyıl Üniversitesi Adresli: Evet

Özet

Background: Biosensors and MEMS have witnessed rapid development and enormous interest over the past decades. Constant advancement in diagnostic, medical, and chemical applications has been demonstrated in several platforms and tools. In this study, the analytical and FEA of the microcantilever used in biomolecular analyses were compared with the experimental analysis results. Methods: In this study, MITF antigen, which is a melanoma biomarker, and anti-MITF antibody (D5) were selected as biomolecules. A MEMS-type microcantilever biosensor was designed by functionalizing the AFM cantilever by utilizing the specific interaction dynamics and intermolecular binding ability between both molecules. Surface functionalization of cantilever micro biosensors was performed by using FEA. The stress that will occur as a result of the interactions between the MITF-D5 has been determined from the deviation in the resonant frequency of the cantilever. Results: It has been found that the simulation results are supported by analytical calculations and experimental results. Conclusion: The fact that the results of the simulation study overlap with the experimental and mathematical results allows us to get much cheaper and faster answers compared to expensive and time-consuming experimental approaches.