{"title":"Design And Simulate MEMS Based Cantilever Biosensor For Detection of Tuberculosis","authors":"B. Thorat, M. Jadhav","doi":"10.1109/iccica52458.2021.9697261","DOIUrl":null,"url":null,"abstract":"In the medical field various disease detection methods are under developmental stage. Due to this most of the diseases are not prevent in time and death rate are increases. By increasing the death rate those diseases are come in top ten diseases in the world. One of the hardly detectable disease is Tuberculosis. Every year millions of people were suffering from this disease, due to its complicated structure, recognition of it is very tedious job. Most of the traditional methods take long time to diagnose due to which patient not get proper treatment in time and it may cause of death. Now a day for disease detection biosensor plays an important role. In this paper Cantilever biosensor is designed and simulated for rapid detection of tuberculosis. The surface of cantilever is coated with antibodies and it gets binds with antigen. When the targeted molecules are finds, the surface get stress and it form deflection. Five different models with various materials are designed and discover the maximum displacement. The maximum displacement achieved 1.71 x 1028 µm from model-3 with gold layer on the cantilever for a 100N load corresponds to 28.228 x 10-24 kg weight of antigen.","PeriodicalId":327193,"journal":{"name":"2021 International Conference on Computational Intelligence and Computing Applications (ICCICA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Intelligence and Computing Applications (ICCICA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccica52458.2021.9697261","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the medical field various disease detection methods are under developmental stage. Due to this most of the diseases are not prevent in time and death rate are increases. By increasing the death rate those diseases are come in top ten diseases in the world. One of the hardly detectable disease is Tuberculosis. Every year millions of people were suffering from this disease, due to its complicated structure, recognition of it is very tedious job. Most of the traditional methods take long time to diagnose due to which patient not get proper treatment in time and it may cause of death. Now a day for disease detection biosensor plays an important role. In this paper Cantilever biosensor is designed and simulated for rapid detection of tuberculosis. The surface of cantilever is coated with antibodies and it gets binds with antigen. When the targeted molecules are finds, the surface get stress and it form deflection. Five different models with various materials are designed and discover the maximum displacement. The maximum displacement achieved 1.71 x 1028 µm from model-3 with gold layer on the cantilever for a 100N load corresponds to 28.228 x 10-24 kg weight of antigen.
在医学领域,各种疾病检测方法正处于发展阶段。由于这一点,大多数疾病不能及时预防,死亡率上升。由于死亡率的增加,这些疾病进入了世界十大疾病之列。肺结核是一种很难检测到的疾病。每年有数百万人患有这种疾病,由于其复杂的结构,识别它是非常繁琐的工作。传统方法大多诊断时间长,患者得不到及时治疗,有可能导致死亡。如今,生物传感器在疾病检测中扮演着重要的角色。本文设计并模拟了用于结核病快速检测的悬臂式生物传感器。悬臂梁表面包裹有抗体,并与抗原结合。当目标分子被发现时,表面受到应力并形成偏转。设计了五种不同材料的模型,并找出了最大位移。在100N载荷下,悬臂上有金层的模型-3的最大位移达到1.71 x 1028µm,对应于28.228 x 10-24 kg的抗原重量。