Collaborative Research: Developing Automated Nutrient and Trace Metal Methodology using Programmable Flow Injection

合作研究：使用可编程流动注射开发自动化营养物和微量金属方法

• 批准号: 1924690
• 负责人: Mariko Hatta
• 金额: $ 52.38万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1924690&HistoricalAwards=false
• 关键词: Collaborative; Research; Developing; Automated; Nutrient

Progress and discovery in the understanding of the chemical processes that regulate the growth of phytoplankton in the marine environment is limited by the ability of oceanographers to measure nutrients and trace metals at relevant spatial and temporal scales. This project aims to develop a new generation of autonomous and highly sensitive nutrient and trace metal analyzers for shipboard use and deployment at coastal monitoring stations, with potential for incorporation into existing autonomous observing platforms (e.g., gliders, autonomous underwater vehicles). Such a development will generate new insights into nutrient dynamics at a range of spatial and temporal scales and provide a new capability to obtain high resolution data sets for nutrients and trace metals in remote areas and environments where sample volumes are limited (e.g., brines, pore waters). This project will develop novel automated methods for nutrients (phosphate and silicate) and trace metals (aluminium, manganese) using a technology called programmable Flow Injection (pFI). pFI is a microfluidic technique, which allows to automate conventional wet chemical analysis using microliter volumes of sample and reagents while significantly reducing the generation waste. In order to bring low levels of trace metals and nutrients that characterize remote ocean regions into the analytical window of pFI, concentration techniques will also be developed and coupled to spectrophotometric and fluorescence detection. The developed methodologies will be intercalibrated with standard oceanographic methods by participating in a GO-SHIP research cruise and a Hawaii Ocean Time-series cruise of opportunity. The long-term, unattended operation of the pFI analyzers will be evaluated at the Central California Ocean Observing System (CenCOOS) Moss Landing Shore station, where autonomous pFI analyzers will be deployed to undertake a year-long, hourly time series of phosphate and silicate. The data obtained from the shore station will be made publicly available and will complement existing monitoring data from this location, illuminating the connection between deep ocean nutrient dynamics and biological activity in coastal upwelling systems. The newly developed pFI analyzers will be assembled using commercially available components and open source software to facilitate uptake of this new methodology by the chemical oceanography community at large. This project will also support the training and exchange of at least two graduate students at the University of Hawaii at Mānoa and the Moss Landing Marine Laboratories, who will represent the next generation of specialists in the development and application of pFI methodologies to chemical oceanography.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.

在了解控制海洋环境中浮游植物生长的化学过程方面取得的进展和发现受到海洋学家在相关空间和时间尺度上测量营养物质和痕量金属的能力的限制。该项目旨在开发新一代自主和高灵敏度的营养和痕量金属分析仪，供船上使用和在沿海监测站部署，并有可能纳入现有的自主观测平台(如滑翔机、自动水下航行器)。这种发展将对各种空间和时间尺度上的营养动态产生新的见解，并提供一种新的能力，以获得边远地区和样本量有限的环境(例如，卤水、孔隙水)中的营养物质和痕量金属的高分辨率数据集。该项目将利用一种称为可编程流动注射(PFI)的技术，开发营养物质(磷酸盐和硅酸盐)和痕量金属(铝、锰)的新型自动化方法。PFI是一种微流控技术，它允许使用微升体积的样品和试剂自动进行传统的湿化学分析，同时显著减少产生的废物。为了将表征偏远海洋区域的微量金属和营养物质的低水平带入PFI的分析窗口，还将开发浓缩技术，并将其与分光光度和荧光检测相结合。所开发的方法将与标准海洋学方法相互校准，方法是参加一次Go-Ship研究巡航和一次夏威夷海洋机遇号时间序列巡航。将在加州中部海洋观测系统(CenCOOS)苔藓登陆岸站对PFI分析仪的长期无人值守操作进行评估，在那里将部署自主PFI分析仪，对磷酸盐和硅酸盐进行长达一年、每小时一次的时间序列分析。从岸上站获得的数据将公之于众，并将补充该地点现有的监测数据，阐明深海营养动态与沿海上升流系统生物活动之间的联系。新开发的PFI分析器将使用商业上可用的部件和开放源码软件进行组装，以促进整个化学海洋学界采用这一新方法。该项目还将支持夏威夷大学诺亚分校和莫斯·兰丁海洋实验室至少两名研究生的培训和交流，他们将代表下一代PFI方法开发和应用于化学海洋学的专家。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Automated calibration by a single standard solution prepared in deionized water by flow programming eliminates the schlieren and salinity effects and is applied to the determination of phosphate in sea water of different salinities

通过流程编程在去离子水中配制单一标准溶液进行自动校准，消除纹影和盐度影响，应用于不同盐度海水中磷酸盐的测定

• DOI: 10.1016/j.talanta.2022.124041
• 发表时间: 2023
• 期刊: Talanta
• 影响因子: 6.1
• 作者: Hatta, M.;Ruzicka, J.;Measures, C.;Davis, M.
• 通讯作者: Davis, M.