لطفا منتظر بمانید ...
0% Complete
صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
High-Performance Biosensor Based on SRR for Early Breast Cancer Detection
نویسندگان :
Hasti Enayattarighehkari
1
Sina Aramtan
2
Gholamreza Moradi
3
Farhad Azadi Namin
4
1- Amirkabir University of Technology
2- Amirkabir University of Technology
3- Amirkabir University of Technology
4- Amirkabir University of Technology
کلمات کلیدی :
microwave sensor،metamaterials،SRR،dielctric characterization،cancer detection
چکیده :
This study presents the design, simulation, and optimization of a metamaterial-based biosensor utilizing a Split Ring Resonator (SRR) for breast cancer detection. The sensor operates within the microwave frequency range, with a predicted resonance frequency of approximately 4.47 GHz, derived from the theoretical analysis of the metallic ring dimensions and substrate properties. This frequency range is selected to maximize sensitivity to variations in the dielectric properties of biological samples. The sensor detects subtle changes in the electromagnetic properties of breast cancer cells, enabling accurate differentiation between healthy and cancerous tissues. Its performance is evaluated using breast cancer cell samples, achieving a sensitivity of RIU 1.71 with the inclusion of a practical 1-mm glass layer. This enhancement not only improves detection accuracy but also ensures compatibility with real-world experimental setups. The results highlight the sensor's potential as a compact, sensitive, and non-invasive diagnostic tool for early-stage cancer detection.
لیست مقالات
لیست مقالات بایگانی شده
Analytical Modeling of Reflective Aperiodic Metasurfaces Using Effective Polarizability Tesnsors
Atena Shokouhi-Amiri - Mohammad Yazdi
Direct model reference adaptive control for depth of hypnosis in anesthesia
Raha Rahimi - Farzaneh Shayegh - Marzieh Kamali
The Effect of Optimal PMU Placement in Power System State Estimation considering the Seasonal Load Curve
Seyed Hamed Mir Mohammad Ali Roudaki - Mehrdad Abedi - Iraj Pourkeivani
Improving Artificial Neural Network Performance Using Hybrid Activation Function
Morteza Taheri - Sajad Haghzad Klidbary
Family of Multifunctional Controllable Converters for Grid, Battery, and PV-Powered EV Charging Station Applications
Homayon Soltani Gohari - Amir Safaeinasab - Karim Abbaszadeh
تفکیک منبع تخلیه جزئی شدید در کابل های قدرت به کمک روش یادگیری عمیق
سید محسن علی پور - کیان شاهین فر - سید محمد شهرتاش
System Sectioning to Retain Durability of an Inverter-Based Microgrid
Sara Noorollah
Realization of a high-resolution plasmonic refractive index sensor based on double-nanodisk shaped resonators
Leila Hajshahvaladi - Hassan Kaatuzian - Mohammad Danaie - Ghazaleh Nourbakhsh
طراحی ماتریس باتلر 8×4 در ساختارSIW با کاهش سطح گلبرگ جانبی در باند فرکانسی 60GHz
زهرا مهرزاد - غلامرضا مرادی - ایاز قربانی
تجزیه و تحلیل امواج فیبریلاتور دهلیزی به منظور طبقهبندی AF با استفاده از موجک لیدر
سارا میهن دوست
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2