Impedance-Based Bioelectronic Tongue that Incorporates Antibodies

结合抗体的基于阻抗的生物电子舌

• 批准号: 1342618
• 负责人: Ian Suni
• 金额: $ 16.03万
• 依托单位: Southern Illinois University at Carbondale
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-05-17 至 2015-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1342618&HistoricalAwards=false
• 关键词: Impedance; Based; Bioelectronic; Tongue; Incorporates

Intellectual MeritsThe Electronic Tongue, which combines an array of non-selective electrodes with pattern recognition algorithms, is known to be limited by inadequate sensitivity and selectivity of the individual electrodes. This has emerged as a major research thrust. To address this shortcoming, the first Bioelectronic Tongue was recently reported for small molecule detection using an array of ion-selective electrodes, one or more of which has an enzyme coating. The Principal Investigators propose to extend the concept of the Bioelectronic Tongue to antibody-coated electrodes for detection of biomolecules (for example, proteins) and cells. The proposed new type of Bioelectronic Tongue will be demonstrated for peanut protein Ara h 1 from a protein mixture using an array of antibody-coated electrodes interrogated by impedance methods. Measurements will be processed with pattern recognition algorithms to separate the electronic fingerprint of the protein analyte from that of interfering proteins that adsorb non-specifically. Peanut protein Ara h 1 is an allergenic food protein that is stable during most food processing operations, and accidental ingestion of allergenic peanut proteins causes more than 100 deaths in the USA alone each year. The Principal Investigators also propose to demonstrate simultaneous detection of three allergenic proteins: peanut protein Ara h 1, peanut protein Ara h 2, and shrimp tropomyosin, from a protein mixture. Impedance measurements at antibody-coated electrodes are quite powerful, since different physicochemical phenomena can be probed at different frequencies. Pattern recognition algorithms are will be employed to identify the sensor electrodes most sensitive to binding of the protein analyte and most sensitive to non-specific adsorption, and to identify the protein species that adsorb non-specifically. Non-specific adsorption of protein molecules to a surface-immobilized antibody is a critical shortcoming of many solid state biosensors, often afflicting electrochemical, optical, and acoustic biosensors, so the broader technical impact of this research is significant. The Principal Investigators expect that the proposed impedance-based Bioelectronic Tongue is particularly important for problems that are inherently multi-dimensional, with many analytes involved, and for problems where antibody cross-reactivity is expected. Broader ImpactGraduate students will be trained within existing graduate programs (Chemical and Biomolecular Engineering, Electrical and Computer Engineering) at Clarkson University. Numerous education and outreach activities are planned to increase the broader impact of this project. The Principal Investigators plan to apply for supplemental research grants from the National Science Foundation for both Research Experiences for Undergraduates and Research Experience for Teachers. The Principal Investigator also plans to make presentations on Biosensors and Bioelectronics to physics and chemistry classes at Potsdam High School. These activities will be coordinated through Clarkson University K-12 Project-Based Learning Partnership Program, and through the Undergraduate Research Committee at Clarkson University Coulter School of Engineering. The Principal Investigators also plan to recruit undergraduate students from underrepresented groups for summer research in their laboratories through Clarkson University Collegiate Science and Technology Entry Program and McNair Scholars Research Program. In addition, the Principal Investigators will create a design project for BR 450, Biomedical Engineering, Science, and Technology Capstone Design.

智能优点电子舌结合了非选择性电极阵列和模式识别算法，已知其受限于单个电极的灵敏度和选择性不足。这已成为一个主要的研究方向。 为了解决这个缺点，最近报道了第一个生物电子舌，用于使用离子选择性电极阵列进行小分子检测，其中一个或多个电极具有酶涂层。 主要研究人员建议将生物电子舌的概念扩展到抗体涂层电极，用于检测生物分子（例如蛋白质）和细胞。 提出的新型生物电子舌将证明花生蛋白Ara h 1从蛋白质混合物使用的抗体涂层电极阵列的阻抗方法询问。将使用模式识别算法处理测量结果，以将蛋白质分析物的电子指纹与非特异性吸附的干扰蛋白质的电子指纹分离。 花生蛋白Ara h 1是一种过敏性食物蛋白，在大多数食品加工过程中是稳定的，仅在美国每年意外摄入过敏性花生蛋白就导致100多人死亡。 主要研究者还建议从蛋白质混合物中同时检测三种过敏原蛋白：花生蛋白Ara h 1、花生蛋白Ara h 2和虾原肌球蛋白。 抗体涂层电极的阻抗测量非常强大，因为可以在不同的频率下探测不同的物理化学现象。 将采用模式识别算法来识别对蛋白质分析物的结合最敏感和对非特异性吸附最敏感的传感器电极，并识别非特异性吸附的蛋白质种类。 蛋白质分子对表面固定化抗体的非特异性吸附是许多固态生物传感器的关键缺点，通常困扰电化学，光学和声学生物传感器，因此这项研究的更广泛的技术影响是显着的。 主要研究人员预计，拟议的基于阻抗的生物电子舌对于固有的多维问题，涉及许多分析物，以及预期抗体交叉反应性的问题特别重要。 更广泛的影响研究生将在现有的研究生课程（化学和生物分子工程，电气和计算机工程）在克拉克森大学的培训。 计划开展许多教育和外联活动，以扩大该项目的广泛影响。 主要研究人员计划向国家科学基金会申请补充研究补助金，用于本科生的研究经验和教师的研究经验。 首席研究员还计划在波茨坦高中的物理和化学课上介绍生物传感器和生物电子学。 这些活动将通过克拉克森大学K-12项目为基础的学习伙伴关系计划，并通过本科研究委员会在工程克拉克森大学库尔特学院协调。 主要研究人员还计划通过克拉克森大学学院科学技术入学计划和麦克奈尔学者研究计划，从代表性不足的群体中招募本科生，在他们的实验室进行夏季研究。 此外，主要研究者将为BR 450，生物医学工程，科学和技术顶点设计创建一个设计项目。