Multiparametric Sensor Arrays for High Information Content Separations

在化学系化学测量和成像计划的支持下，伊利诺伊大学厄巴纳-香槟分校的Ryan Bailey教授和他的团队致力于使用硅光子微环谐振器平台执行高信息含量分离。这项工作的重点是改进聚合物和小分子的分析，例如在消费品质量控制和药物开发中的应用。这种分析平台固有的多功能性、定量特性和动态范围使其适用于广泛的色谱检测挑战。除了该项目的科学目标外，该奖项还将支持青年科学家的培训和发展，特别是那些来自传统上代表性不足的少数民族的学生。此外，该小组将继续参与当地社区的外联活动，包括与芝加哥人和美国原住民科学促进会(SACNAS)校园分会合作开发的创新西班牙语科学外联计划。用于多参数分离的改进型传感器阵列可以应用于使用可调有机传感器表面的聚合物表征，使用免疫亲和力表征的药物生物制品验证，以及用于芯片实验室设备的集成芯片上分离和电泳。目前用于分析聚合物和小分子的方法存在产品验证速度慢的问题，而且往往需要多种分析方法才能完成表征。该项目旨在通过将快速和化学信息丰富的分离合并到单个设备中来简化验证过程，这代表着分离领域的一种新能力。这种设备将被证明在下一代药物的分离和分析中特别重要，包括基于抗体的疗法。与更传统的小分子药物不同，这些生物疗法需要独特的分析表征工具。

With support from the Chemical Measurement and Imaging Program in the Division of Chemistry, Professor Ryan Bailey and his group at University of Illinois at Urbana-Champaign aim to perform high information content separations using a silicon photonic microring resonator platform. The focus of this work is to improve analysis of polymers and small molecules, for example, with applications in consumer goods quality control and pharmaceutical drug development. The inherent versatility, quantitative nature, and dynamic range of this analytical platform make it applicable to a wide range of chromatographic detection challenges. In conjunction with the scientific goals of the project, the award will also support the training and development of young scientists, particularly those students from traditionally underrepresented minorities. Furthermore, the group will continue participation in outreach activities within the local community, including an innovative Spanish language science outreach program developed in collaboration with the campus chapter of the Society for the Advancement of Chicanos and Native Americans in Science (SACNAS).Modified sensor arrays for multiparametric separations can be applied to polymer characterization using tunable organic sensor surfaces, to pharmaceutical biologics validation using immune-affinity characterization, and to integrated on-chip separations with electrophoresis for a lab-on-a-chip devices. The current methods for the analysis of polymer and small molecules suffer from slow product validation and often require multiple analytical methods for complete characterization. This project seeks to simplify the validation process by incorporating rapid and chemically informative separations into a single device, representing a new capability for the separations field. Such a device will prove particularly important in the separation and analysis of the next generation of pharmaceuticals, including antibody-based therapeutics. Unlike more conventional small molecule drugs these biological therapeutics demand unique analytical characterization tools.