Conference proceeding
A High Frequency Thickness Shear Mode (TSM) Sensor fog Detection of Biomarkers for Prostate Cancer
2008 IEEE INTERNATIONAL FREQUENCY CONTROL SYMPOSIUM, VOLS 1 AND 2, p341
01 Jan 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A high frequency thickness shear mode (TSM) sensor was developed for detection of tumor-associated serum autoantibody biomarkers to diagnose prostate cancer early and to monitor effectiveness of treatment and recurrence of disease. The sensor response to three different proteins present in the cell lysate to their antibodies (W632, anti-plakoglobin and anti-EDDR1) were investigated using an array of TSM sensors operating at 100 MHz. The sensor exhibited the detection of all three biomarkers and detected differences in the concentration of the proteins in the lysate. The acoustic data was corroborated with a standard clinical test data (Western Blot). The obtained results clearly indicate that the proposed 100 MHz TSM sensor detection system is suitable for sensitive and selective multi-antigen assay platform for an autoantibody biomarker-based diagnostic screen for the early detection of prostate cancer.
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Details
- Title
- A High Frequency Thickness Shear Mode (TSM) Sensor fog Detection of Biomarkers for Prostate Cancer
- Creators
- Ertan Ergezen - Drexel UniversityRobert Weisbein Hart - Drexel UniversityRamila Philip - Immunotope (United States)Ryszard M. Lec - Drexel UniversityIEEE
- Publication Details
- 2008 IEEE INTERNATIONAL FREQUENCY CONTROL SYMPOSIUM, VOLS 1 AND 2, p341
- Conference
- 2008 IEEE INTERNATIONAL FREQUENCY CONTROL SYMPOSIUM
- Publisher
- IEEE
- Number of pages
- 3
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Microbiology and Immunology; School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000261285400071
- Scopus ID
- 2-s2.0-55649086402
- Other Identifier
- 991019168015504721
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- Web of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic