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越来越常见。然而，这些研究的实验结果和结论的价值直接取决于所收集的pH值数据的可靠性。根据气象学领域的术语，海洋化学家和生物学家将pH测量精度归类为“天气质量”或“气候质量”，分别对应于大约0.02或0.003 pH单位的水平。虽然为了检测pH值的气候尺度变化是必要的，但从传感器获得“气候质量”的pH值数据仍然是难以捉摸的。研究人员建议开发一个强大的，低维护，用户友好的系统，该系统将允许从研究船和海洋系泊设备上的pH传感器定期收集气候质量数据。从本质上讲，该项目涉及开发一种自动自校准pH传感器包，可以由可能不具备实现气候质量数据集的专业知识的研究人员部署。现场测试将产生数据，以支持正在进行的研究计划，包括船上正在进行的测量（如CalCOFI）以及在沿海地点的自主原位测量，包括当地泻湖（加利福尼亚州卡尔斯巴德的阿瓜赫迪昂达）和偏远的珊瑚礁（帕尔米拉环礁）。在这些研究中增加气候质量pH值数据将扩大我们对长期气候尺度效应的理解，例如，牡蛎壳渔业和珊瑚礁。根据以前的努力，概述最佳实践和质量控制协议的原位pH传感器数据，一个中心主题已经出现：独立验证的自主pH传感器测量是必要的，以产生气候质量数据集。从历史上看，这是通过艰苦的工作，包括在现场重复瓶样品。维持瓶采样程序是昂贵的，超出了许多希望在现场测量高频pH值的研究实验室的能力。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样品之间的时空失配，导致传感器校准的显著不确定性。直接应对这一挑战，这项工作的目标是通过内置的自校准功能提高未来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机载标准化Tris缓冲液，以定期验证pH传感器的性能。因此，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工作量，因为他们将不再需要收集和分析瓶样品进行pH值验证。类似的协议已成功地适用于气候质量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.