Equipment: MRI: Track #1 Acquisition of an Orbitrap Eclipse Tribrid Mass Spectrometer

设备： MRI：轨道

• 批准号: 2320241
• 负责人: Feixia Chu
• 金额: $ 117.91万
• 依托单位: University of New Hampshire
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320241&HistoricalAwards=false
• 关键词: Equipment; MRI; Track; #1; Acquisition

An award is made to the University of New Hampshire (UNH) to acquire an Orbitrap Eclipse LC-MS system to (i) dramatically improve mass spectrometry (MS) capacity and expedite research projects in diverse fields, (ii) facilitate hands-on training and inquiry-based learning on modern instrumentation, and (iii) establish a regional high-resolution MS facility. Equipped with more current technologies, the proposed Eclipse LC-MS system will enable in-depth, conclusive proteomics analysis with desirable sensitivity and throughput. This new instrumentation will serve 26 research programs as major users from 11 departments and 3 colleges, bringing together a diverse group of researchers. The highly interdisciplinary nature of the collaborative projects will provide ample hands-on training opportunities for research scientists/post-docs, graduate students, and undergraduate students on cutting-edge MS technologies. In addition, a UNH summer MS workshop and a semester-long MS course will provide expanded research training for graduate and undergraduate students at UNH as well as at least 14 other colleges and universities in New Hampshire, Maine, and Vermont, contributing to regional STEM education and workforce development. The student population at UNH is 55% female and 30% first-generation students. With a total population of just over 1.3 million, New Hampshire (NH) has a significant rural population. Research can be a life-changing experience for students, especially those from low-income demographics and rural areas. These students will have the opportunity to train with state-of-the-art instrumentation and realize their potential to pursue an advanced technical degree. Furthermore, as the UNH professional master’s programs in Molecular & Cellular Technology and Bioinformatic continue to grow, the requested Eclipse LC-MS system will make a significant impact in developing a future STEM workforce and supporting sustainable economic growth in the state of NH as well as the northern New England region. Results from involved research projects will also bring direct societal impacts in developing new energy sources and bioengineering materials, elucidating disease etiology and therapeutic targets, protecting environment and wildlife, reclaiming soil and natural resources, improving agriculture practice, and enhancing food and nutrition management.The research that will be supported encompasses a broad range of biology, chemistry, ecology, and biomedical engineering-based projects at UNH and in northern New England. Essential biological insights will be generated from these projects towards mechanistic understanding of visual transduction, stem cell trans-differentiation and tissue engineering, interactions among microbes, plants and the environment, transcription regulation and chromatin structure, signal transduction in neuronal cilia and hematopoietic progenitors, epigenetic regulation and behavioral plasticity, protein folding and proteome homeostasis. High-quality MS data will elucidate key regulators, modifications, interactions, structure conformations, and signaling molecules and networks, which will revolutionize research programs and enables breakthroughs in understanding processes that would have otherwise been inaccessible. The requested instrumentation will also aid in the development of novel reagents in solar fuel production, as well as the design and development of enabling technologies and platforms of biosensor and femto-flow electrospray ionization sources. These impactful projects require MS instrumentation - equipped with current, modern technologies - as a critical research tool. Through active collaborations between UNH and regional biotechnology and pharmaceutical companies, new knowledge and improved practice will emerge in manufacturing specialty ingredients used in personal and health care, in characterizing antimicrobial natural products, and in understanding host-microbe interactions and metabolomic responses towards environmental stressors. In summary, significant improvements in MS experimental capacities, sensitivity, and throughput over current UNH instrumentation will rapidly expand the application of MS and modern instrumentation into a variety of research disciplines at UNH and beyond.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

向新罕布什尔大学（UNH）颁发了奖励，以获取Orbitrap Eclipse LC-MS系统，以（i）在潜水场领域中动态改善质谱（MS）能力（MS）的能力和加速研究项目，（ii）便于实行培训和基于询问的现代仪器学习和基于现代仪器的学习以及（III）建立区域高分辨率毫无疑问的MS设施。拟议的Eclipse LC-MS系统配备了更多当前的技术，将以理想的灵敏度和吞吐量来实现深入的，最终的蛋白质组学分析。这项新仪器将作为来自11个系和3所大学的主要用户提供26个研究计划，将一群研究人员汇集在一起​​。协作项目的高度跨学科性质将为研究科学家/研究生，研究生和本科生提供尖端MS Technologies的大量动手培训机会。此外，UNH夏季MS研讨会和一个学期的MS课程将为UNH的研究生和本科生提供扩展的研究培训，以及新罕布什尔州，缅因州和佛蒙特州的至少14个其他学院和大学，为区域STEM教育和劳动力发展做出了贡献。 UNH的学生人数为55％的女性和30％的第一代学生。新罕布什尔州（NH）总人口超过130万，农村人口很大。对于学生，尤其是来自低收入人口统计学和农村地区的学生，研究可能是改变生活的经历。这些学生将有机会使用最先进的仪器进行培训，并意识到他们攻读高级技术学位的潜力。此外，随着UNH专业硕士在分子和细胞技术方面的计划以及生物信息学的持续增长，要求的Eclipse LC-MS系统将对发展未来的STEM劳动力和支持NH状况以及北部新英格兰地区的可持续经济增长产生重大影响。涉及研究项目的结果还将在开发新的能源和生物工程材料，阐明疾病的病因和治疗目标，保护环境和野生动植物，恢复土壤和自然资源，改善农业实践，增强食品和营养管理的研究中，将在生物学上，新的生物学，化学，化学范围，化学，化学和营养的研究，从而融合了农业和营养管理，从而，新的粮食和营养管理将带来直接的社会影响。 英格兰。基本的生物学见解将从这些项目中产生，以机械理解视觉翻译，干细胞跨差异和组织工程，微生物之间的相互作用，植物与环境之间的相互作用，转录调节和染色质结构，神经元素纤毛的信号转导和血肿的信号转导，以及血肿的祖细胞，表观调节和行为塑料和蛋白质质体，蛋白质质量和蛋白质质量。高质量的MS数据将阐明关键调节剂，修改，相互作用，结构会议以及信号分子和网络，这将彻底改变研究计划，并在理解原本无法访问的过程中取得突破。所需的仪器还将有助于开发太阳能燃料生产中的新试剂，以及生物传感器和FEMTO-FLOW电喷雾电离源的启用技术和平台的设计和开发。这些有影响力的项目需要MS仪器（配备当前现代技术）作为关键研究工具。通过UNH和区域生物技术与制药公司之间的积极合作，新知识和改进的实践将出现在个人和医疗保健中使用的特种专业，在表征抗微生物天然产品以及了解宿主 - 微生物相互作用和对环境压力的代谢响应方面。总而言之，MS实验能力，敏感性和对当前UND仪器的吞吐量的显着改善将迅速将MS和现代仪器的应用扩展到UNH及其他地区的各种研究学科中。该奖项反映了NSF的法定任务，并被认为是通过使用该基金会的知识分子和更广泛影响的评估来评估的支持，并被认为是值得的支持。