Freshwater algae chemotaxonomy by high-performance liquid chromatographic (HPLC) analysis

Yansong HOU, Wei LIANG, Liping ZHANG, Shuiping CHENG, Feng HE, Zhenbin WU

PDF(273 KB)
PDF(273 KB)
Front. Environ. Sci. Eng. ›› 2011, Vol. 5 ›› Issue (1) : 84-91. DOI: 10.1007/s11783-010-0283-1
SHORT COMMUNICATION
SHORT COMMUNICATION

Freshwater algae chemotaxonomy by high-performance liquid chromatographic (HPLC) analysis

Author information +
History +

Abstract

The study of community composition of algae is essential for understanding the structure and dynamics of the aquatic ecosystem and for evaluating the eutrophic level of the water body. A high-performance liquid chromatographic (HPLC) method based on a reverse-phase C18 nonpolar column was developed for the main algal taxa, which includes cyanophytes, bacillariophytes, euglenophytes, dinophytes, and chlorophytes. Based on the elution order using HPLC, 19 pigments were identified, and they were chlorophyllide a, 19′-butanoyloxyfucoxanthin, chlorophyll c1 + c2, phephorbides a, peridinin, methyl-chlorophyllide a, fucoxanthin, neoxanthin, violaxanthin, myxoxanthophyll, diadinoxanthin, diatoxanthin, lutein, zeaxanthin, chlorophyll b allomer, chlorophyll b, chlorophyll a allomer, chlorophyll a, and β,β-carotene. A comparison study of cell microscopic counts and accessory pigment analysis indicated that HPLC analysis could be a useful tool for monitoring phytoplankton communities and their abundance.

Keywords

high-performance liquid chromatographic (HPLC) / algae / pigment / chemotaxonomy

Cite this article

Download citation ▾
Yansong HOU, Wei LIANG, Liping ZHANG, Shuiping CHENG, Feng HE, Zhenbin WU. Freshwater algae chemotaxonomy by high-performance liquid chromatographic (HPLC) analysis. Front Envir Sci Eng Chin, 2011, 5(1): 84‒91 https://doi.org/10.1007/s11783-010-0283-1

References

[1]
Li H P, Gong G C, Hsiung T M. Phytoplankton pigment analysis by HPLC and its application in algal community investigations. Botanical Bulletin of Academia Sinica, 2003, 43: 283-290
[2]
Wright S W, Jeffrey S W. Pigment markers for phytoplankton production. The Handbook of Environmental Chemistry, 2006, 2: Part N, 71-104
[3]
Bidigare R R, Ondrusek M E. Spatial and temporal variability of phytoplankton pigment distributions in the central equatorial Pacific Ocean. Deep Sea Research Part II, Topical Studies in Oceanography, 1996, 43(4-6): 809-833
CrossRef Google scholar
[4]
Llewellyn C A, Fishwick J R, Blackford J C. Phytoplankton community assemblage in the English Channel: a comparison using chlorophyll a derived from HPLC-CHEMTAX and carbon derived from microscopy cell counts. Journal of Plankton Research, 2005, 27(1): 103-119
CrossRef Google scholar
[5]
Buchaca T, Felip M, Catalan J. A comparison of HPLC pigment analyses and biovolume estimates of phytoplankton groups in an oligotrophic lake. Journal of Plankton Research, 2005, 27(1): 91-101
CrossRef Google scholar
[6]
Wulff A, Vilbaste S, Truu J. Depth distribution of photosynthetic pigments and diatoms in the sediments of a microtidal fjord. Hydrobiologia, 2005, 534: 117-130
CrossRef Google scholar
[7]
Buchaca T, Catalan J. Factors influencing the variability of pigments in the surface sediments of mountain lakes. Freshwater Biology, 2007, 52(7): 1365-1379
CrossRef Google scholar
[8]
Jeffrey S W, Mantoura R F C, Wright S W. Phytoplankton Pigments in Oceanography: Guidelines to Modern Methods. Paris: UNESCO Publishing, 1997, 37-84
[9]
Redalje D, Lohrenz S, Natter M, Tuel M, Kirkpatrick G, Millie D, Fahnenstiel G, Vandolah F. The growth dynamics of Karenia brevis within discrete blooms on the West Florida Shelf. Continental Shelf Research, 2008, 28(1): 24-44
CrossRef Google scholar
[10]
Mackey D J, Higgins H W, Mackey M D, Holdsworth D. Algal class abundances in the western equatorial Pacific: Estimation from HPLC measurements of chloroplast pigments using CHEMTAX. Deep Sea Research Part I, 1998, 45(9): 1441-1468
CrossRef Google scholar
[11]
Kraay G, Zapata M, Veldhuis M J W. Separation of chlorophylls c1, c2 and c3 of marine phytoplankton by reversed-phase-C18-high-performance liquid chromatography. Journal of Phycology, 1992, 28(5): 708-712
CrossRef Google scholar
[12]
Otsuki A, Watanabe M M, Sugahara K. Chlorophyll pigments in methanol extracts from ten axenic cultured diatoms and three green algae as determined by reverse phase HPLC with fluorometric detection.Journal of Phycology, 1987, 23(3): 406-414
CrossRef Google scholar
[13]
Mantoura R F C, Llewellyn C A. The rapid determination of algal chlorophyll and carotenoid pigments and their breakdown products in natural waters by reverse-phase high performance liquid chromatography. Analytica Chimica Acta, 1983, 151: 297-314
CrossRef Google scholar
[14]
Stoń-Egiert J, Kosakowska A. RP-HPLC determination of phytoplankton pigments-comparison of calibration results for two columns. Marine Biology, 2005, 147(1): 251-260
CrossRef Google scholar
[15]
Hooks C E, Bidigare R R, Keller M D, Guillard R R L. Coccoid eukaryotic marine ultraplankters with four different HPLC pigment signatures. Journal of Phycology, 1998, 24: 571-580
[16]
Claustre H, Hooker S B, Van Heukelem L, Berthon J F. Barlow R, Ras J, Sessions H, Targa C, Thomas C S, Van der Linde D, Marty J C. An intercomparison of HPLC phytoplankton pigment methods using in situ samples: application to remote sensing and database activities. Marine Chemistry, 2004, 85(1–2): 41–61
CrossRef Google scholar
[17]
Stoń J, Kosakowska A. Phytoplankton pigments designation-an application of RP-HPLC in qualitative and quantitative analysis. Journal of Applied Phycology, 2002, 14(3): 205-210
CrossRef Google scholar
[18]
Stoń J, Kosakowska A. Phytoplankton pigments designation-an application of RP-HPLC in qualitative and quantitative analysis. Journal of Applied Phycology, 2007, 14(3): 205-210
CrossRef Google scholar
[19]
Hu H J, Li Y Y, Wei Y X. The Freshwater Algae of China. Shanghai: Shanghai Science and Technology Press, 1980 (in Chinese)
[20]
Hu H J.The Freshwater Algae of China – Systematics, Taxonomy and Ecology. Beijing: Science Press, 2006 (in Chinese)

Acknowledgement

This work was supported by grants from the National Key Science Research Project of Eleven Five-Year Plan (Nos. 2009ZX07106-003 and 2008ZX07316-004), Tianjin Project of CAS (No. TJZX2-YW-07), Jiangsu Province project (NO. BE2008651) and Agricultural Science and Technology Achievement Transformation Project (No. 2009GB2A100015).

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
AI Summary AI Mindmap
PDF(273 KB)

Accesses

Citations

Detail

Sections
Recommended

/