Measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels.

Measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels.
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DOI:
10.1038/s41598-021-91134-1
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发表时间:
2021-06-03
期刊:
影响因子:
4.6
通讯作者:
Fernandez JG
Fernandez JG
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Shunmugam AP;Subramanian G;Fernandez JG

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自我推进的微生物在水中无处不在。这种生物体的运动性取决于与周围介质的流变学相关的流体动力学和物理因素以及取决于生物体的状态和健康的生物因素。在这里,我们证明了草履虫奥雷利亚,单细胞原生动物,全球发现在淡水,半咸水,和盐沃茨的游泳速度,可以被用来作为一个可测量的节俭指标的存在下,污染物在水中。这项研究建立了一个显着的和一致的关系Paramalphus的游泳速度和存在的五种不同的有机和无机污染物在不同浓度的饮用水阈值为中心。目标微生物的大尺寸和普遍存在,避免了用于测量的试剂或专用工具,以及基于对象跟踪算法的简单数据收集,使得使用全球可用技术的评估和实时结果的自动化成为可能。
Self-propelled microscopic organisms are ubiquitous in water. Such organisms’ motility depends on hydrodynamic and physical factors related to the rheology of the surrounding media and biological factors depending on the organisms’ state and well-being. Here we demonstrate that the swimming speed of Paramecium aurelia, a unicellular protozoan, globally found in fresh, brackish, and salt waters, can be used as a measurable frugal indicator of the presence of pollutants in water. This study establishes a significant and consistent relationship between Paramecia’s swimming speed and the presence of five different organic and inorganic contaminants at varying concentrations centered around drinking water thresholds. The large size and ubiquity of the targeted microorganism, the avoidance of reagents or specialized tools for the measurement, and the simple data collection based on an object tracking algorithm enable the automatization of the assessment and real-time results using globally available technology.
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