Autonomous Sensor for In Situ Measurements of Total Alkalinity in the Ocean

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL ACS Sensors Pub Date : 2025-02-12 DOI:10.1021/acssensors.4c02349
Allison Schaap, Stathys Papadimitriou, Edward Mawji, John Walk, Emily Hammermeister, Matthew Mowlem, Socratis Loucaides
{"title":"Autonomous Sensor for In Situ Measurements of Total Alkalinity in the Ocean","authors":"Allison Schaap, Stathys Papadimitriou, Edward Mawji, John Walk, Emily Hammermeister, Matthew Mowlem, Socratis Loucaides","doi":"10.1021/acssensors.4c02349","DOIUrl":null,"url":null,"abstract":"Total alkalinity (TA) is one of the measurable parameters that characterize the oceanic carbonate system. A high temporal and spatial frequency in TA data can lead to better measurements, modeling, and understanding of the carbon cycle in aquatic systems, providing insights into problems from global climate change to ecosystem functioning. However, there are very few autonomous technologies for <i>in situ</i> TA measurements, and none with field demonstrations below 2 m depth. To meet this need in marine observing capabilities, we present a submersible sensor for autonomous <i>in situ</i> TA measurements to full ocean depths. This sensor uses lab-on-a-chip technology to sample seawater and perform single-point open-cell titration with an optical measurement. It can carry multiple calibration materials on board, allowing for routine recalibration and quality checks in the field. The sensor was characterized in the laboratory and in a pressure testing facility to 600 bar (equivalent to 6 km depth) and deployed in a shallow estuary, on a lander at 120 m depth, and on an autonomous underwater vehicle. With a demonstrated precision and accuracy regularly better than 5 μmol kg<sup>–1</sup> in field deployments, this sensor has the potential to dramatically expand our ability to perform long-term autonomous measurements of the marine carbonate system.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"16 1","pages":""},"PeriodicalIF":9.1000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Sensors","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acssensors.4c02349","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Total alkalinity (TA) is one of the measurable parameters that characterize the oceanic carbonate system. A high temporal and spatial frequency in TA data can lead to better measurements, modeling, and understanding of the carbon cycle in aquatic systems, providing insights into problems from global climate change to ecosystem functioning. However, there are very few autonomous technologies for in situ TA measurements, and none with field demonstrations below 2 m depth. To meet this need in marine observing capabilities, we present a submersible sensor for autonomous in situ TA measurements to full ocean depths. This sensor uses lab-on-a-chip technology to sample seawater and perform single-point open-cell titration with an optical measurement. It can carry multiple calibration materials on board, allowing for routine recalibration and quality checks in the field. The sensor was characterized in the laboratory and in a pressure testing facility to 600 bar (equivalent to 6 km depth) and deployed in a shallow estuary, on a lander at 120 m depth, and on an autonomous underwater vehicle. With a demonstrated precision and accuracy regularly better than 5 μmol kg–1 in field deployments, this sensor has the potential to dramatically expand our ability to perform long-term autonomous measurements of the marine carbonate system.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于海洋总碱度原位测量的自主传感器
总碱度(TA)是表征海洋碳酸盐岩体系的可测参数之一。TA数据的高时空频率有助于更好地测量、建模和理解水生系统中的碳循环,为从全球气候变化到生态系统功能等问题提供见解。然而,很少有用于原位TA测量的自主技术,也没有在2米以下的现场演示。为了满足海洋观测能力的这一需求,我们提出了一种潜水式传感器,用于自动原位测量整个海洋深度。该传感器采用芯片实验室技术对海水进行采样,并通过光学测量进行单点开孔滴定。它可以携带多种校准材料,允许在现场进行常规重新校准和质量检查。该传感器在实验室和600 bar(相当于6公里深度)的压力测试设施中进行了测试,并部署在浅水河口、120米深度的着陆器和自主水下航行器上。在现场部署中,该传感器的精度和准确度通常优于5 μmol kg-1,有可能极大地扩展我们对海洋碳酸盐岩系统进行长期自主测量的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
期刊最新文献
Hyaluronic Acid–Barium Tungstate Nanomedicine as Biosafety and High-Performance Binary Spectral CT Contrast Agents for Inflammatory Bowel Disease Detection High-Throughput Human Histone Detection by an Engineered Actinoporin Nanopore Membrane-Confined CRISPR-Cas12a Activation via Split Activator for Wash-Free Detection of Tumor-Specific Extracellular Vesicles Interpretable Deep Learning for Single-Molecule Nanopore Fingerprinting Using Physics-Guided Preprocessing Entropy-Driven Proximity Strand Displacement Amplification Strategy for Electrochemical Sensing of Cancer-Related MiRNA
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1