Literature DB >> 22824675

Measurement of cyanobacteria using in-vivo fluoroscopy -- effect of cyanobacterial species, pigments, and colonies.

De-Wei Chang1, Peter Hobson, Michael Burch, Tsair-Fuh Lin.   

Abstract

The effect of instrument calibration range, algal growth phase, chlorophyll-a and turbidity interference and colony size, on the measurement of phycocyanin by in-vivo fluoroscopy (IVF) was investigated. The cyanobacterial species Microcystis aeruginosa PCC 7820, Anabaena circinalis and Planktothricoides raciborskii were used to investigate variation in phycocyanin content in the different cyanobacteria and growth phases. The green alga, Chodatella sp., and Kaolin particles were used as the sources of chlorophyll-a and turbidity respectively to determine how these factors can impact on phycocyanin measurements. Another cyanobacterium, M. aeruginosa PCC 7005, which forms large colonies, was used to investigate the relationships between colony size and phycocyanin concentration measured using IVF. Results showed that chlorophyll-a, turbidity, and the colonial status of the cyanobacteria significantly interfered with the measurement of phycocyanin fluorescence. Models were developed to compensate for the effect of chlorophyll-a, turbidity and colony size on the measurement. The models were successfully used to correct phycocyanin probe data collected from several reservoirs in Taiwan to establish good correlation between measurements made using the phycocyanin probe and microscopic cell counts.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22824675     DOI: 10.1016/j.watres.2012.06.050

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  6 in total

1.  Accuracy of data buoys for measurement of cyanobacteria, chlorophyll, and turbidity in a large lake (Lake Erie, North America): implications for estimation of cyanobacterial bloom parameters from water quality sonde measurements.

Authors:  Justin D Chaffin; Douglas D Kane; Keara Stanislawczyk; Eric M Parker
Journal:  Environ Sci Pollut Res Int       Date:  2018-06-25       Impact factor: 4.223

2.  Stepwise strategy for monitoring toxic cyanobacterial blooms in lentic water bodies.

Authors:  Inês P E Macário; Bruno B Castro; Maria I S Nunes; Cristina Pizarro; Carla Coelho; Fernando Gonçalves; Daniela R de Figueiredo
Journal:  Environ Monit Assess       Date:  2017-11-09       Impact factor: 2.513

3.  Sensor manufacturer, temperature, and cyanobacteria morphology affect phycocyanin fluorescence measurements.

Authors:  Caroline M Hodges; Susanna A Wood; Jonathan Puddick; Christopher G McBride; David P Hamilton
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-27       Impact factor: 4.223

4.  Evaluating putative ecological drivers of microcystin spatiotemporal dynamics using metabarcoding and environmental data.

Authors:  A Banerji; M J Bagley; J A Shoemaker; D R Tettenhorst; C T Nietch; H J Allen; J W Santo Domingo
Journal:  Harmful Algae       Date:  2019-05-31       Impact factor: 4.273

5.  The Lake Erie HABs Grab: A binational collaboration to characterize the western basin cyanobacterial harmful algal blooms at an unprecedented high-resolution spatial scale.

Authors:  Justin D Chaffin; John F Bratton; Edward M Verhamme; Halli B Bair; Amber A Beecher; Caren E Binding; Johnna A Birbeck; Thomas B Bridgeman; Xuexiu Chang; Jill Crossman; Warren J S Currie; Timothy W Davis; Gregory J Dick; Kenneth G Drouillard; Reagan M Errera; Thijs Frenken; Hugh J MacIsaac; Andrew McClure; R Michael McKay; Laura A Reitz; Jorge W Santo Domingo; Keara Stanislawczyk; Richard P Stumpf; Zachary D Swan; Brenda K Snyder; Judy A Westrick; Pengfei Xue; Colleen E Yancey; Arthur Zastepa; Xing Zhou
Journal:  Harmful Algae       Date:  2021-07-23       Impact factor: 5.905

6.  A high-throughput method to quantify feeding rates in aquatic organisms: A case study with Daphnia.

Authors:  Jessica L Hite; Alaina C Pfenning-Butterworth; Rachel E Vetter; Clayton E Cressler
Journal:  Ecol Evol       Date:  2020-06-16       Impact factor: 2.912

  6 in total

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