The limitation of measurement in cyanobacteria using in-vivo fluoroscopy

De Wei Chang, Peter Hobson, Mike Burch, Tsair Fuh Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The effect of measurement, including calibrated range, algal growth phase, chlorophyll-a and turbidity, on phycocyanin by the in-vivo fluoroscopy were investigated. The cyanobacteria, Microcystis aeruginosa PCC 7820, Anabaena circinalis and Planktothricoides raciborskii were cultured to measure the contents of phycocyanin for understanding the variation of phycocyanin in the different species and growth phase. The green alga, Chodatella sp., and Kaolin soil were used as the sources of chlorophyll-a and turbidity to build the mixed samples for testing the effect by the overlapped absorption of the optical spectrum. The demonstration from several reservoirs in Taiwan showed the well correlation after modification by those interfered factors from this study.

Original languageEnglish
Title of host publicationProceedings of the 2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011
Pages184-188
Number of pages5
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011 - Adelaide, SA, Australia
Duration: 2011 Dec 62011 Dec 9

Publication series

NameProceedings of the 2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011

Other

Other2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011
CountryAustralia
CityAdelaide, SA
Period11-12-0611-12-09

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications

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    Chang, D. W., Hobson, P., Burch, M., & Lin, T. F. (2011). The limitation of measurement in cyanobacteria using in-vivo fluoroscopy. In Proceedings of the 2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011 (pp. 184-188). [6146614] (Proceedings of the 2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011). https://doi.org/10.1109/ISSNIP.2011.6146614