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Novel Electrokinetic Microfluidic Detector for Evaluating Effectiveness of Microalgae Disinfection in Ship Ballast Water

机译:新型电动微流检测器用于评估船舶压载水中微藻的消毒效果

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摘要

Ship ballast water treatment methods face many technical challenges. The effectiveness of every treatment method usually is evaluated by using large scale equipment and a large volume of samples, which involves time-consuming, laborious, and complex operations. This paper reports the development of a novel, simple and fast platform of methodology in evaluating the efficiency and the best parameters for ballast water treatment systems, particularly in chemical disinfection. In this study, a microfluidic chip with six sample wells and a waste well was designed, where sample transportation was controlled by electrokinetic flow. The performance of this microfluidic platform was evaluated by detecting the disinfection of Dunaliella salina (D. salina) algae in ballast water treated by sodium hypochlorite (NaClO) solution. Light-induced chlorophyll fluorescence (LICF) intensity was used to determine the viability of microalgae cells in the system, which can be operated automatically with the dimension of the detector as small as 50 mm × 24 mm × 5 mm. The 40 µL volume of sample solution was used for each treatment condition test and the validity of detection can be accomplished within about five min. The results show that the viability of microalgae cells under different treatment conditions can be determined accurately and further optimal treatment conditions including concentrations of NaClO and treatment time can also be obtained. These results can provide accurate evaluation and optimal parameters for ballast water treatment methods.
机译:船舶压载水处理方法面临许多技术挑战。通常使用大型设备和大量样品来评估每种处理方法的有效性,这涉及耗时,费力且复杂的操作。本文报告了一种新颖,简单,快速的方法学平台的开发,该平台用于评估压载水处理系统的效率和最佳参数,特别是化学消毒。在这项研究中,设计了一个具有六个样品孔和一个废液孔的微流控芯片,其中样品的输送通过电动流控制。通过检测经次氯酸钠(NaClO)溶液处理的压载水中杜氏盐藻(D. salina)藻类的消毒效果,评估了该微流体平台的性能。光诱导的叶绿素荧光(LICF)强度用于确定系统中微藻细胞的生存力,该微藻细胞可以在检测器尺寸小至50 mm×24 mm×5 mm的情况下自动运行。每个处理条件测试均使用40 µL样品溶液,检测的有效性可以在大约五分钟内完成。结果表明,可以准确地确定微藻细胞在不同处理条件下的生存力,还可以获得包括NaClO浓度和处理时间在内的最佳处理条件。这些结果可以为压载水处理方法提供准确的评估和最佳参数。

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