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On the Simultaneous Identification and Quantification of Microalgae Populations Based on Fluorometric Techniques.
Gsponer, Natalia S; Rodríguez, María Claudia; Palacios, Rodrigo E; Chesta, Carlos A.
Afiliação
  • Gsponer NS; Facultad de Ciencias Exactas Fisicoquímicas y Naturales, Dto. Química, Universidad Nacional de Río Cuarto y CONICET, Córdoba, Argentina.
  • Rodríguez MC; Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados (IITEMA), Río Cuarto, Córdoba, Argentina.
  • Palacios RE; Facultad de Agronomía y Veterinaria, Universidad Nacional de Río Cuarto, Córdoba, Argentina.
  • Chesta CA; Facultad de Ciencias Exactas Fisicoquímicas y Naturales, Dto. Química, Universidad Nacional de Río Cuarto y CONICET, Córdoba, Argentina.
Photochem Photobiol ; 94(5): 875-880, 2018 09.
Article em En | MEDLINE | ID: mdl-29768724
ABSTRACT
In this study, the phytoplankton structure of a freshwater reservoir located in central Argentina (Embalse Río Tercero) was analyzed using Beutler's method (Photosynthesis Research 72 39-53, 2002), aiming to provide water quality control agencies with a reliable tool for early detection of algae blooms, particularly cyanobacteria. The method estimated the concentration of chlorophyll a (Chl a) contributed by individual algal groups in a real sample by fitting its fluorescence excitation spectrum to a linear combination of norm spectra of relevant algae groups. To this purpose, norm spectra for five algae genera usually found in Embalse Río Tercero, Microcystis, Chlorella, Cyclotella, Ceratium and Porphyridium, were constructed and posteriorly used to analyze samples collected in the reservoir in years 2014-2016. Results showed that the method worked well for the quick identification of the algae present in the samples, but it tended to overestimate its Chl a contents. This error was attributed to the large heterogeneity of the algal populations due to the aging of cells grown in environmental conditions.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article