利用自主潜水器上的表面等离子体共振传感器对蓝藻微囊藻毒素进行水下测量

IF 2.1 3区 地球科学 Q2 LIMNOLOGY Limnology and Oceanography: Methods Pub Date : 2024-06-12 DOI:10.1002/lom3.10627
William Ussler III, Gregory J. Doucette, Christina M. Preston, Chloe Weinstock, Nadia Allaf, Brent Roman, Scott Jensen, Kevan Yamahara, Louise A. Lingerfelt, Christina M. Mikulski, Brett W. Hobson, Brian Kieft, Ben-Yair Raanan, Yanwu Zhang, Reagan M. Errera, Steven A. Ruberg, Paul A. Den Uyl, Kelly D. Goodwin, Scott D. Soelberg, Clement E. Furlong, James M. Birch, Christopher A. Scholin
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引用次数: 0

摘要

淡水蓝藻有害藻华(CHABs)是众所周知的全球公共健康威胁。目前,CHAB毒素的监测和早期检测是通过劳动密集型采样技术和随后的岸基分析来完成的,通常在样品采集24-48小时后报告结果。我们开发并实施了一种无人驾驶的自主移动采样分析系统,能够在小于 2 小时的时间内进行有针对性的原位毒素测量。表面等离子体共振(SPR)仪器与环境样品处理器(ESP)相结合,实现了颗粒相关蓝藻微囊藻毒素(pMC)的全自动检测和定量。该传感器-取样器系统与远程自动水下航行器(LRAUV)集成,并于 2021 年夏季部署在伊利湖西部进行实地试验。LRAUV 采用遥控方式,在 CHAB 内和邻近的选定位置采集样本。在为期 14 天的时间里,在 LRAUV 未恢复的情况下,对湖水进行了 16 次 pMC 测量,测量值从 0.09 微克/升到 0.55 微克/升不等。SPR/ESP/LRAUV 系统是对现有卫星、航空和人工采样 CHAB 调查技术的补充,可用于增强支持水华和毒性预测的预测模型。该系统还可扩展到淡水和海洋环境中其他藻类毒素的检测,其对水华毒素水平的近实时评估可在各种环境中提供额外的社会经济效益和公共健康保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Underway measurement of cyanobacterial microcystins using a surface plasmon resonance sensor on an autonomous underwater vehicle

Freshwater cyanobacterial harmful algal blooms (CHABs) are a well-known global public health threat. Monitoring and early detection of CHAB toxins are currently accomplished using labor-intensive sampling techniques and subsequent shore-based analyses, with results typically reported 24–48 h after sample collection. We have developed and implemented an uncrewed, autonomous mobile sampler-analytical system capable of conducting targeted in situ toxin measurements in < 2 h. A surface plasmon resonance (SPR) instrument was combined with the environmental sample processor (ESP) to fully automate detection and quantification of particle-associated cyanobacterial microcystins (pMC). This sensor-sampler system was integrated with a long-range autonomous underwater vehicle (LRAUV) and deployed in western Lake Erie for field trials in the summer of 2021. The LRAUV was remotely piloted to acquire samples at selected locations within and adjacent to a CHAB. Sixteen pMC measurements ranging from 0.09 to 0.55 μg/L lake water were obtained over a 14-day period without recovery of the LRAUV. The SPR/ESP/LRAUV system complements existing satellite, aerial, and manual sampling CHAB survey techniques, and could be used to enhance predictive models that underpin bloom and toxicity forecasts. This system is also extensible to detection of other algal toxins in freshwater and marine environments, with its near real-time assessment of bloom toxin levels potentially offering additional socioeconomic benefits and public health protection in a variety of settings.

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来源期刊
CiteScore
4.80
自引率
3.70%
发文量
56
审稿时长
3 months
期刊介绍: Limnology and Oceanography: Methods (ISSN 1541-5856) is a companion to ASLO''s top-rated journal Limnology and Oceanography, and articles are held to the same high standards. In order to provide the most rapid publication consistent with high standards, Limnology and Oceanography: Methods appears in electronic format only, and the entire submission and review system is online. Articles are posted as soon as they are accepted and formatted for publication. Limnology and Oceanography: Methods will consider manuscripts whose primary focus is methodological, and that deal with problems in the aquatic sciences. Manuscripts may present new measurement equipment, techniques for analyzing observations or samples, methods for understanding and interpreting information, analyses of metadata to examine the effectiveness of approaches, invited and contributed reviews and syntheses, and techniques for communicating and teaching in the aquatic sciences.
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Issue Information Issue Information Correction to “Estimating ethanol correction factors for δ13C and δ15N isotopic signatures of freshwater zooplankton from multiple lakes” Multivariate statistical “unmixing” of Indian and Pacific Ocean sediment provenance Assessment of a pH optode for oceanographic moored and profiling applications
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