• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于监测碳捕获和储存站点 CO 泄漏的高效比色 CO 传感器。

Highly efficient colorimetric CO sensors for monitoring CO leakage from carbon capture and storage sites.

机构信息

Department of Environmental Engineering, Konkuk University, Seoul 05029, Republic of Korea.

Department of Environmental Engineering, Konkuk University, Seoul 05029, Republic of Korea.

出版信息

Sci Total Environ. 2020 Aug 10;729:138786. doi: 10.1016/j.scitotenv.2020.138786. Epub 2020 Apr 19.

DOI:10.1016/j.scitotenv.2020.138786
PMID:32380324
Abstract

Carbon capture and storage (CCS) technology used for reducing anthropogenic CO emissions involves the capture of CO from industrial sources and its injection into geological sinks, such as oil reservoirs and abandoned gas fields. To ensure environmental and public safety in implementing CCS technology, efficient CO-monitoring technology must be developed to detect potential CO leakage from CCS sites. Conventional CO sensors used for monitoring CCS sites are typically high in cost and require professional staff for maintenance. In this study, we developed a portable and low-cost colorimetric CO sensor with high soil CO detection efficiency for CCS sites. The sensor consists of a detection solution that contains the pH indicator cresol red encapsulated with a gas-permeable membrane. When CO enters the sensor through the membrane, the color of the pH indicator changes and this was quantified using an RGB (red, green, blue) application (app), an app that measures the RGB values of a given color. The change in G and B values of the detection solution showed a significant linear relationship with soil CO concentration determined via non-dispersive infra-red (NDIR) CO sensor (r = 0.98, p = 0.001), and thus these values were used for quantification of CO concentration. Tests using CO-injection chamber showed that the optical CO sensors can detect soil CO concentration of 0.1 to 30% within a few minutes. Field studies conducted at a natural CO vent and an artificial CO leakage site showed that the optical CO sensors can be applied in analyzing surficial CO leakage patterns. The advantage of this optical CO sensor when applied to field monitoring is that it is inexpensive and has few installation restrictions. Therefore, this optical CO sensor has a strong potential for use in monitoring CO leakages from CCS sites.

摘要

碳捕集与封存(CCS)技术用于减少人为 CO 排放,涉及从工业源捕获 CO 并将其注入地质封存库,如油藏和废弃气田。为了确保在实施 CCS 技术时的环境和公共安全,必须开发高效的 CO 监测技术来检测 CCS 场地潜在的 CO 泄漏。用于监测 CCS 场地的传统 CO 传感器通常成本高,并且需要专业人员进行维护。在这项研究中,我们开发了一种用于 CCS 场地的便携式、低成本比色 CO 传感器,具有较高的土壤 CO 检测效率。该传感器由检测溶液组成,其中包含 pH 指示剂甲酚红,并用透气膜包裹。当 CO 通过膜进入传感器时,pH 指示剂的颜色发生变化,这可以通过 RGB(红、绿、蓝)应用程序(app)进行量化,该应用程序可以测量给定颜色的 RGB 值。检测溶液的 G 和 B 值的变化与非分散红外(NDIR)CO 传感器测定的土壤 CO 浓度呈显著线性关系(r=0.98,p=0.001),因此这些值可用于 CO 浓度的定量。使用 CO 注入室进行的测试表明,光学 CO 传感器可以在几分钟内检测到 0.1%至 30%的土壤 CO 浓度。在天然 CO 通风口和人工 CO 泄漏点进行的现场研究表明,光学 CO 传感器可用于分析表面 CO 泄漏模式。将这种光学 CO 传感器应用于现场监测的优势在于它价格低廉,安装限制较少。因此,这种光学 CO 传感器在监测 CCS 场地的 CO 泄漏方面具有很大的潜力。

相似文献

1
Highly efficient colorimetric CO sensors for monitoring CO leakage from carbon capture and storage sites.用于监测碳捕获和储存站点 CO 泄漏的高效比色 CO 传感器。
Sci Total Environ. 2020 Aug 10;729:138786. doi: 10.1016/j.scitotenv.2020.138786. Epub 2020 Apr 19.
2
Application of colorimetric sensor in monitoring dissolved CO in natural waters.比色传感器在监测天然水中溶解 CO 中的应用。
J Environ Manage. 2022 Jun 15;312:114893. doi: 10.1016/j.jenvman.2022.114893. Epub 2022 Mar 18.
3
Increased NO emission by inhibited plant growth in the CO leaked soil environment: Simulation of CO leakage from carbon capture and storage (CCS) site.在 CO 泄漏土壤环境中抑制植物生长会增加 NO 排放:碳捕集与封存(CCS)站点 CO 泄漏的模拟。
Sci Total Environ. 2017 Dec 31;607-608:1278-1285. doi: 10.1016/j.scitotenv.2017.07.030. Epub 2017 Jul 18.
4
Estimating a baseline of soil CO flux at CO geological storage sites.估算 CO2 地质储存场地土壤 CO 通量的基线。
Environ Monit Assess. 2019 Aug 14;191(9):563. doi: 10.1007/s10661-019-7724-5.
5
Early atmospheric detection of carbon dioxide from carbon capture and storage sites.碳捕获与封存地点二氧化碳的早期大气探测。
J Air Waste Manag Assoc. 2016 Aug;66(8):739-47. doi: 10.1080/10962247.2016.1176084.
6
Evaluation of effective quantum yields of photosystem II for CO leakage monitoring in carbon capture and storage sites.用于碳捕获与封存场地CO泄漏监测的光系统II有效量子产率评估。
PeerJ. 2021 Jan 28;9:e10652. doi: 10.7717/peerj.10652. eCollection 2021.
7
CO leakage from carbon dioxide capture and storage (CCS) systems affects organic matter cycling in surface marine sediments.来自二氧化碳捕获与封存(CCS)系统的一氧化碳泄漏会影响海洋表层沉积物中的有机质循环。
Mar Environ Res. 2016 Dec;122:158-168. doi: 10.1016/j.marenvres.2016.10.007. Epub 2016 Oct 26.
8
420,000 year assessment of fault leakage rates shows geological carbon storage is secure.42 万年断层漏失率评估表明地质碳储存是安全的。
Sci Rep. 2019 Jan 25;9(1):769. doi: 10.1038/s41598-018-36974-0.
9
Enhancement of farmland greenhouse gas emissions from leakage of stored CO2: simulation of leaked CO2 from CCS.存储 CO2 泄漏导致农田温室气体排放增加:CCS 泄漏 CO2 的模拟。
Sci Total Environ. 2015 Jun 15;518-519:78-85. doi: 10.1016/j.scitotenv.2015.02.055. Epub 2015 Mar 5.
10
CO capture and storage: A way forward for sustainable environment.碳捕集与封存:走向可持续环境的途径。
J Environ Manage. 2018 Nov 15;226:131-144. doi: 10.1016/j.jenvman.2018.08.009. Epub 2018 Aug 14.

引用本文的文献

1
Experimental Study on Enhanced Methane Detection Using an MEMS-Pyroelectric Sensor Integrated with a Wavelet Algorithm.基于小波算法的MEMS热释电传感器增强甲烷检测的实验研究
ACS Omega. 2024 Apr 26;9(18):19956-19967. doi: 10.1021/acsomega.3c09769. eCollection 2024 May 7.
2
Review of an intelligent indoor environment monitoring and management system for COVID-19 risk mitigation.综述:用于降低 COVID-19 风险的智能室内环境监测和管理系统。
Front Public Health. 2023 Jan 10;10:1022055. doi: 10.3389/fpubh.2022.1022055. eCollection 2022.
3
Nanomaterial-Based CO Sensors.
基于纳米材料的一氧化碳传感器
Nanomaterials (Basel). 2020 Nov 13;10(11):2251. doi: 10.3390/nano10112251.