利用原位CYCLE传感器对磷酸盐进行实时和长期监测

A. Barnard, B. Rhoades, C. Wetzel, A. Derr, J. R. Zaneveld, C. Moore, C. Koch, I. Walsh
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引用次数: 6

摘要

溶解的营养动态广泛影响与公共健康、生态系统状况和资源可持续性相关的问题。模拟生态系统动力学和预测由于潜在不利影响而导致的正常变异的变化,需要关于养分有效性的持续和准确的信息。现场采样往往资源有限,导致数据集稀疏,时间和空间密度低。对于养分动力学,稀疏的数据集会使分析产生偏差,因为相关生物地球化学过程的关键时间尺度往往比采样制度短得多,而且空间有限。虽然以区域为基础的数据在经济上总是受到限制,但在潮汐以下时间尺度上提供连贯数据的原位仪器可以显著改善对营养动力学和生物地球化学循环的理解。WET实验室开发了一种自主的原位磷酸盐分析仪,能够监测数月溶解活性磷酸盐浓度(正磷酸盐)的变化,并采用潮汐下采样制度。CYCLE磷酸盐传感器设计用于使用标准湿化学方法(杂多蓝)和最少的用户专业知识满足社区的营养监测需求。测定天然水中可溶性活性磷酸盐的杂多蓝法是基于磷酸盐离子与酸化钼酸盐试剂反应生成钼酸,然后用抗坏血酸还原成高度着色的蓝色钼酸磷络合物。该方法具有选择性,对大多数环境变化(如pH、盐度、温度)不敏感,并且可以提供nM范围内的检测限。CYCLE传感器使用四个微泵,可输送两种试剂(抗坏血酸和酸化钼酸盐)、环境水和磷酸盐标准。流动系统集成了一个集成泵歧管和流体外壳,包括控制器和混合组件,几乎对气泡干扰不敏感。5cm径长的反射管吸收计测量880nm处与活性磷酸盐浓度相关的吸收。试剂和用于质量保证的板载磷酸盐标准使用新颖和简单易用的墨盒系统交付,消除了用户与试剂的相互作用。试剂盒可容纳1000个以上的样品。CYCLE传感器的精度为~50 nM磷酸盐,动态范围为~0到10 μΜ。CYCLE传感器使用12 VDC输入,并具有低电流(毫安)。CYCLE还具有1gb的板载数据存储容量,并使用串行接口进行通信。CYCLE传感器的主机软件包括各种功能,包括部署规划和传感器配置、数据处理、绘制原始和处理过的数据、跟踪试剂使用以及部署前后的校准实用程序。该仪器已部署在各种采样情况:淡水,河口和海洋。部署通常针对超过1000个样本的连续运行时间而不进行维护(4-12周)。使用CYCLE磷酸盐传感器,实现了足够的采样率(每个样品~ 20-30分钟),以监测大范围时间尺度上的原位营养变化,包括潮汐循环、径流事件和浮游植物华流动态。我们展示了在俄勒冈州亚奎纳湾收集的磷酸盐数据的时间序列。将这些数据与补充测量相结合,CYCLE磷酸盐提供了了解亚奎纳湾营养动态的缺失环节。我们证明,通过将磷酸盐变异与硝酸盐、叶绿素、溶解氧、浊度、CDOM、电导率和温度相关联,可以更好地了解海湾中影响营养通量的因素。什么营养物质限制了生产,以及人为或海洋的营养物质来源是否主导了水华动态,这些都可以探索。这项工作证明了原位、频繁和长期监测对更好地了解河口营养和水华动态的重要性。这表明,随着磷酸盐网络的扩大,可以评估河口和海岸系统中人为养分负荷的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time and long-term monitoring of phosphate using the in-situ CYCLE sensor
Dissolved nutrient dynamics broadly affect issues related to public health, ecosystem status and resource sustainability. Modeling ecosystem dynamics and predicting changes in normal variability due to potentially adverse impacts requires sustained and accurate information on nutrient availability. On site sampling is often resource limited which results in sparse data sets with low temporal and spatial density. For nutrient dynamics, sparse data sets will bias analyses because critical time scales for the relevant biogeochemical processes are often far shorter and spatially limited than sampling regimes. While data on an areal basis will always be constrained economically, an in-situ instrument that provides coherent data at a sub-tidal temporal scale can provide a significant improvement in the understanding of nutrient dynamics and biogeochemical cycles. WET Labs has developed an autonomous in-situ phosphate analyzer which is able to monitor variability in the dissolved reactive phosphate concentration (orthophosphate) for months with a sub-tidal sampling regime. The CYCLE phosphate sensor is designed to meet the nutrient monitoring needs of the community using a standard wet chemical method (heteropoly blue) and minimal user expertise. The heteropoly blue method for the determination of soluble reactive phosphate in natural waters is based on the reaction of phosphate ions with an acidified molybdate reagent to yield molybdophosphoric acid, which is then reduced with ascorbic acid to a highly colored blue phosphomolybdate complex. This method is selective, insensitive to most environmental changes (e.g., pH, salinity, temperature), and can provide detection limits in the nM range. The CYCLE sensor uses four micropumps that deliver the two reagents (ascorbic acid and acidified molybdate), ambient water, and a phosphate standard. The flow system incorporates an integrated pump manifold and fluidics housing that includes controller and mixing assemblies virtually insensitive to bubble interference. A 5-cm pathlength reflective tube absorption meter measures the absorption at 880 nm associated with reactive phosphate concentration. Reagents and an on-board phosphate standard for quality assurance are delivered using a novel and simple-to-use cartridge system that eliminates the user's interaction with the reagents. The reagent cartridges are sufficient for more than 1000 samples. The precision of the CYCLE sensor is ~50 nM phosphate, with a dynamic range from ~0 to 10 μΜ. The CYCLE sensor operates using 12 VDC input, and has a low current draw (milliamps). CYCLE also has 1 GB on-board data storage capacity, and communicates using a serial interface. The host software for the CYCLE sensor includes a variety of features, including deployment planning and sensor configuration, data processing, plotting of raw and processed data, tracking of reagent usage and a pre and post deployment calibration utility. The instrument has been deployed in a variety of sampling situations: freshwater, estuarine, and ocean. Deployments are typically for over 1000 samples worth of continuous run time without maintenance (4–12 wks). Using the CYCLE phosphate sensor, a sufficient sampling rate (~20–30 minutes per sample) is realized to monitor in-situ nutrient variability over a broad range of time scales including tidal cycles, runoff events, and phytoplankton bloom dynamics. We present a time series of phosphate data collected in Yaquina Bay, Oregon. Combining this data with complimentary measurements, the CYCLE phosphate provides a missing link in understanding nutrient dynamics in Yaquina Bay. We demonstrate that by correlating phosphate variability with nitrate, chlorophyll, dissolved oxygen, turbidity, CDOM, conductivity, and temperature, a greater understanding of the factors influencing nutrient flux in the bay is possible. What nutrients limit production and whether anthropogenic or oceanic sources of nutrients dominate bloom dynamics can be explored. This work demonstrates the importance of in-situ, frequent, and long-term monitoring to better understand the nutrient and bloom dynamics in estuaries. It suggests that with more extensive phosphate networks, the impacts of anthropogenic nutrient loading in estuaries and coastal system could be assessed.
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