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原位荧光监测蓝藻:基于实验室的物种特异性测量精度定量。

In-situ fluorescence monitoring of cyanobacteria: Laboratory-based quantification of species-specific measurement accuracy.

机构信息

Griffith School of Engineering and Built Environment, Griffith University, Parklands Drive, Southport, Queensland, 4222, Australia; Cities Research Institute, Griffith University, Parklands Drive, Southport, Queensland, 4222, Australia; Australian Rivers Institute, Griffith University, Kessels Road, Nathan, Queensland, 4111, Australia.

Australian Rivers Institute, Griffith University, Kessels Road, Nathan, Queensland, 4111, Australia.

出版信息

Harmful Algae. 2019 Jul;87:101625. doi: 10.1016/j.hal.2019.101625. Epub 2019 Jun 25.

Abstract

In recent years, in-situ fluorometers have been extensively deployed to monitor cyanobacteria in near real-time. Acceptable accuracy can be achieved between measured pigments and cyanobacteria biovolume provided the cyanobacteria species are known. However, cellular photosynthetic pigment content and measurement interferences are site and species specific and can dramatically affect sensor reliability. We quantified the accuracy of an in-situ fluorometer compared with traditional methods using mono- and mixed cultures of four different cyanobacterial species. We found: (1) lower pigment content in cultures in stationary phase, (2) higher precision with the sensor compared to traditional pigment quantification methods of measuring phycocyanin and chlorophyll a, (3) species-specific relationships between sensor readings and measurements related to biovolume, (4) overestimation of pigments in mixed compared with mono cultures, (5) dissolved organic matter causing a loss in signal proportional to its degree of aromaticity, and (6) potential to quantify the degree of cell lysis with a fluorescent dissolved organic matter sensor. This study has provided important new information on the strengths and limitations of fluorescence sensors. The sensor readings can provide accurate biovolume quantification and species determination for a number of bloom-forming species when sensors are properly compensated and calibrated.

摘要

近年来,原位荧光计已被广泛应用于实时监测蓝藻。只要已知蓝藻的种类,通过测量色素和蓝藻生物量可以得到可接受的精度。然而,细胞光合色素含量和测量干扰因地点和物种而异,会极大地影响传感器的可靠性。我们使用四种不同蓝藻的单种和混合培养物,定量比较了原位荧光计与传统方法的准确性。结果发现:(1)静止期培养物中的色素含量较低;(2)与传统的藻蓝蛋白和叶绿素 a 定量方法相比,传感器的精度更高;(3)传感器读数与与生物量相关的测量值之间存在种特异性关系;(4)与单种培养物相比,混合培养物中色素的高估;(5)溶解有机质的芳香度与其信号损失呈比例关系;(6)荧光溶解有机质传感器定量细胞裂解程度的潜力。本研究为荧光传感器的优势和局限性提供了重要的新信息。当传感器得到适当的补偿和校准时,它可以为许多形成水华的物种提供准确的生物量定量和物种鉴定。

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