Collaborative Research: Self-Calibrating pH Sensors for Autonomous Collection of Climate Quality Data

合作研究：用于自主收集气候质量数据的自校准 pH 传感器

• 批准号: 1736905
• 负责人: Todd Martz
• 金额: $ 56.76万
• 依托单位: University of California-San Diego Scripps Inst of Oceanography
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1736905&HistoricalAwards=false
• 关键词: Collaborative; Research; Self; Calibrating; pH

Autonomous pH sensors are becoming increasingly common in Ocean Acidification and Carbon Cycle studies. However, the value of experimental results and conclusions from these studies hinges directly on the reliability of pH data collected. Drawing on terminology from the field of meteorology, marine chemists and biologists categorize pH measurement accuracy as "Weather Quality" or "Climate Quality," corresponding to a level of roughly 0.02 or 0.003 pH units, respectively. While necessary in order to detect climate scale changes in pH, achievement of "Climate Quality" pH data from sensors remains elusive. The researchers propose to develop a robust, low maintenance, user friendly system that will allow climate quality data to be routinely collected from pH sensors on research vessels and oceanographic moorings. In essence, this project involves developing an automated self-calibrating pH sensor package that can be deployed by researchers that may not hold the expertise to achieve a climate quality dataset. Field tests will generate data in support of ongoing research programs involving shipboard underway measurements (e.g. CalCOFI) as well as autonomous in situ measurements at coastal sites including a local lagoon (Agua Hedionda, Carlsbad, CA) and a remote coral reef (Palmyra Atoll). The addition of climate quality pH data in these studies will broaden our understanding of long-term climate scale effects on, for example, oyster shellfisheries and coral reefs.Based on previous efforts to outline Best Practices and Quality Control protocols for in situ pH sensor data, a central theme has emerged: independent validation of autonomous pH sensor measurements is required in order to generate climate quality datasets. Historically, this has been accomplished through painstaking work involving repeat bottle samples in the field. Sustaining a bottle sampling program is expensive and beyond the capabilities of many research labs that wish to measure high-frequency pH in the field. Even the most thorough field programs haven't managed to fully eliminate spatiotemporal mismatch between sensor and bottle samples, leading to significant uncertainty in the calibration of the sensor. Directly addressing this challenge, the objective of this work is to improve the quality of future Durafet pH sensor datasets via a built-in self-calibration function. Specifically, the project will integrate on-board, standardized Tris buffers in artificial seawater for periodic validation of pH sensor performance. As a natural result, addition of this capability will improve data quality and substantially reduce the efforts required by operators during a field deployment, as they will no longer be required to collect and analyze bottle samples for pH validation. Similar protocols have been successfully adapted for climate quality pCO2 measurement.

自主pH传感器在海洋酸化和碳循环研究中变得越来越普遍。但是，实验结果和这些研究的结论的价值直接取决于收集的pH数据的可靠性。海洋化学家和生物学家从气象学领域借鉴术语，将pH测量精度分别为“天气质量”或“气候质量”，分别对应于大约0.02或0.003 pH单元的水平。虽然为了检测pH值的气候量表变化所需，但传感器的“气候质量” pH数据的实现仍然难以捉摸。研究人员建议开发出强大的，低维护的，用户友好的系统，该系统将允许从研究船和海洋模型系泊的pH传感器通常收集气候质量数据。从本质上讲，该项目涉及开发一个自动化的自校准pH传感器软件包，研究人员可以部署，这些pH传感器软件包可能不会拥有专业知识来实现​​气候质量数据集。现场测试将生成数据，以支持正在进行的研究计划，其中涉及进行船上的测量值（例如Calcofi）以及在包括当地泻湖（Agua Hedionda，Carlsbad，CA）在内的沿海地区的自主原位测量值和偏远的Coral Reef（Palmyra Atoll）。在这些研究中，增加气候质量pH数据将扩大我们对长期气候规模的影响，例如，牡蛎贝类鱼类和珊瑚礁。基于先前概述原位pH传感器数据的最佳实践和质量控制协议的努力，中心主题已经出现：为了使自主pH传感器测量的独立验证以生成气候质量数据。从历史上看，这是通过涉及野外重复瓶样品的艰苦工作来实现的。维持瓶子采样计划的昂贵，并且超出了许多希望在现场测量高频pH的研究实验室的功能。即使是最彻底的现场程序也没有设法完全消除传感器和瓶子样品之间的时空不匹配，从而导致传感器校准的严重不确定性。直接应对这一挑战，这项工作的目的是通过内置的自我校准功能来提高未来的Durafet pH传感器数据集的质量。具体而言，该项目将在人工海水中集成在板上，标准化的TRIS缓冲区，以定期验证pH传感器性能。自然而然的是，增加此功能将提高数据质量，并大大减少操作员在现场部署期间所需的努力，因为它们将不再需要收集和分析瓶样品进行pH验证。类似的协议已成功适应气候质量PCO2测量。

项目成果

Observing Changes in Ocean Carbonate Chemistry: Our Autonomous Future

• DOI: 10.1007/s40641-019-00129-8
• 发表时间: 2019-09-01
• 期刊: CURRENT CLIMATE CHANGE REPORTS
• 影响因子: 9.5
• 作者: Bushinsky, Seth M.;Takeshita, Yuichiro;Williams, Nancy L.
• 通讯作者: Williams, Nancy L.

Assessment of pH dependent errors in spectrophotometric pH measurements of seawater

海水分光光度 pH 测量中 pH 相关误差的评估

• DOI: 10.1016/j.marchem.2020.103801
• 发表时间: 2020
• 期刊: Marine Chemistry
• 影响因子: 3
• 作者: Takeshita, Yuichiro;Johnson, Kenneth S.;Coletti, Luke J.;Jannasch, Hans W.;Walz, Peter M.;Warren, Joseph K.
• 通讯作者: Warren, Joseph K.

Technical note: Stability of tris pH buffer in artificial seawater stored in bags

技术说明：tris pH 缓冲液在袋装人工海水中的稳定性

• DOI: 10.5194/os-17-819-2021
• 发表时间: 2021
• 期刊: Ocean Science
• 影响因子: 3.2
• 作者: Wolfe, Wiley H.;Shipley, Kenisha M.;Bresnahan, Philip J.;Takeshita, Yuichiro;Wirth, Taylor;Martz, Todd R.
• 通讯作者: Martz, Todd R.