Monitoring Of Cyanobacteria Research Articles

Monitoring of cyanobacteria as a strategy to ensure the quality of drinking water distributed in the Metropolitan Area of San Salvador, El Salvador

El lago de Güija posee una superficie aproximada de 45 Km2 y una profundidad máxima de 21 m en época seca, forma parte del complejo lagunar homónimo y su importancia como ecosistema fue reconocida en 2010 tras la obtención de su declaratoria como sitio Ramsar. Dada su ubicación geográfica ejerce una influencia significativa en la calidad del agua de la cuenca alta del río Lempa, por lo que la vigilancia de las comunidades fitoplanctónicas y la relación de estas con diversos factores ambientales relacionados a sus proliferaciones, es de suma importancia para garantizar la seguridad del agua y la salud pública de gran parte de los habitantes del Área Metropolitana de San Salvador (AMSS). En vista de lo anterior, desde febrero del 2021 hasta mayo del 2023, se han realizado muestreos mensuales en 5 puntos de monitoreo dentro del lago, determinándose que, en este, las proliferaciones de cianobacterias están dominadas por los géneros Aphanizomenon, Cylindrospermopsis y Dolichospermum, los cuales se encuentran relacionados al régimen de precipitación pluvial, altos valores de pH y la estratificación de la columna de agua, la cual ocurre entre abril y octubre de cada año.

Risk assessment of toxic cyanobacterial blooms in recreational waters: A comparative study of monitoring methods

Toxic cyanobacterial blooms impose a health risk to recreational users, and monitoring of cyanobacteria and associated toxins is required to assess this risk. Traditionally, monitoring for risk assessment is based on cyanobacterial biomass, which assumes that all cyanobacteria potentially produce toxins. While these methods may be cost effective, relatively fast, and more widely accessible, they often lead to an overestimation of the health risk induced by cyanotoxins. Monitoring methods that more directly target toxins, or toxin producing genes, may provide a better risk assessment, yet these methods may be more costly, usually take longer, or are not widely accessible. In this study, we compared six monitoring methods (fluorometry, microscopy, qPCR of 16S and mcyE, ELISA assays, and LC-MS/MS), of which the last three focussed on the most abundant cyanotoxin microcystins, across 11 lakes in the Netherlands during the bathing water season (May-October) of 2019. Results of all monitoring methods significantly correlated with LC-MS/MS obtained microcystin levels (the assumed ‘golden standard’), with stronger correlations for methods targeting microcystins (ELISA) and microcystin genes (mcyE). The estimated risk levels differed substantially between methods, with 78 % and 56 % of alert level exceedances in the total number of collected samples for fluorometry and microscopy-based methods, respectively, while this was only 16 % and 6 % when the risk assessment was based on ELISA and LC-MS/MS obtained toxin concentrations, respectively. Integrating our results with earlier findings confirmed a strong association between microcystin concentration and the biovolume of potential microcystin-producing genera. Moreover, using an extended database consisting of 4265 observations from 461 locations across the Netherlands in the bathing water seasons of 2015 – 2019, we showed a strong association between fluorescence and the biovolume of potentially toxin-producing genera. Our results indicate that a two-tiered approach may be an effective risk assessment strategy, with first a biomass-based method (fluorometry, biovolume) until the first alert level is exceeded, after which the risk level can be confirmed or adjusted based on follow-up toxin or toxin gene analyses.

First monitoring of cyanobacteria and cyanotoxins in freshwater from fish farms in Rondônia state, Brazil

The main aimed of this study was to evaluate the physicochemical parameters, abundance and density of cyanobacteria, determine their blooms and the ecotoxicological risk of their cyanotoxins in fish ponds water. This study was conducted out in 20 fish farms in Rondônia state (Brazilian Amazon), samplings were carried out in the rainy and dry seasons. The experiment was developed in a completely randomized factorial design 20 × 3 x 3 (20 fish farms, 3 ponds and 3 replications). Regarding the composition of qualitative samples, horizontal and vertical hauls were carried out on the water surface, quantitative samples was obtained using a plankton net (50 μm mesh opening). Meanwhile, with the use of a multiparametric probe, physicochemical analyzes in fish ponds water were carried out. Furthermore, the cyanobacteria found were classified taxonomically and its blooms were recorded. Finally, blood was collected from 60 Colossoma macropomum. Concerning the higher averages in the rainy season 6.13 mg L⁻1 of dissolved oxygen, 40.02 cm of transparency, 0.35 NO31⁻ of nitrate, 0.15 NO21⁻ of nitrite, 44.55 mg L⁻1 CaCO3 of alkalinity and 50.10 mg L⁻1 CaCO3 of hardness, while higher averages of pH, phosphate and phosphorus were found in the dry season. A total of 15 families and 29 species of cyanobacteria were identified in the different seasons. The families that showed the highest densities (rainy and dry seasons) were Microcystaceae (356 and 760 cells mL⁻1), Leptolyngbyaceae (126 and 287 cells mL⁻1) and Microcoleaceae (111 and 405 cells mL⁻1). The species that showed the highest densities were Microcystis aeruginosa (356 and 697 cells mL⁻1), Planktolyngbya limnetica (98 and 257 cells mL⁻1) and Planktothrix sp. (111 and 239 cells mL⁻1). There were significant Pearson's correlations (r > 0.85; p < 0.05) between family abundances and cyanotoxin volume between physicochemical water variables and seasonality. A total of 20 cyanobacteria blooms were recorded, all of which in the dry season showed an ecotoxicological risk. Concerning the assessment mutagenicity in fish blood cells, a total of 78 abnormalities per slide were observed. In the dry season, the expected volume of cyanotoxins in the ponds from fish farms F1 and F4 were above the quantification limit (>QL). Abundance and density of cyanobacteria and their blooms and cyanotoxins can be used as bioindicators of eutrophication and/or water quality and ecotoxicological risk in fish ponds.

Monitoring Phycocyanin with Landsat 8/Operational Land Imager Orange Contra-Band

The Operational Land Imager (OLI) onboard the Landsat 8 satellite has a panchromatic band (503–676 nm) that has been used to compute a virtual spectral band known as “orange contra-band” (590–635 nm). The major application of the orange contra-band is the monitoring of cyanobacteria which is usually quantified by the measurement of the concentration of phycocyanin (PC) which has an absorption peak around 620 nm. In this study, we evaluated the use of the orange contra-band approach for estimating PC concentration from in situ proximal hyperspectral data from Eagle Creek Reservoir (ECR), in Indiana, USA. We first validated the empirical relationship for the computation of the orange contra-band by using the panchromatic, red, and green spectral bands from ECR. PC concentration retrieval using the orange contra-band were not successful when using the entire dataset (R2 &lt; 0.1) or when using only PC concentrations higher than 50 mg/m3 (R2 &lt; 0.24). Better results were achieved when using samples in which PC was 1.5 times higher than the chlorophyll-a concentration (R2 = 0.84). These results highlighted the need for the development of remote sensing algorithms for the accurate estimation of PC concentration from non-PC dominant waters which could be use to track and/or predict cyanobacteria blooms.

Monitoring of cyanobacteria and cyanotoxins in a Colombian tropical reservoir.

Anthropogenic pollution and global climate change have resulted in favorable environmental conditions for increased frequency and duration of cyanobacterial blooms in aquatic systems. Cyanobacteria can produce toxic metabolites called cyanotoxins, which have become a worldwide concern as they threaten human and animal health. The presence of cyanobacteria and four cyanotoxins were evaluated in a Colombian reservoir. The reservoir was monitored for a year, with sampling campaigns every 3months in seven stations. To identify and quantify cyanotoxins, the ultra-high-performance liquid chromatography coupled with triple quadrupole mass spectrometry (UHPLC-QqQ-MS/MS) technique was used, and the quantification of cyanobacteria was done by quantitative real-time PCR (qPCR) assay using a cyanobacterial-specific 16S rRNA gene fragment as a target. Cyanobacteria concentration was between 4.02 (± 0.11) × 104 and 2.72 (± 0.28) × 107 copies of Cyan 16S/μL, the minimum value corresponds to the station located in the central zone and the maximum to the station at the entrance of one of the tributary rivers. The presence of MC-RR, MC-LR, MC-YR, and NOD was detected in at least six of the seven sampling stations at different times of the year. In all cases, the concentration of the toxins detected was below 0.05μg/L, so the guideline value established by the WHO for MC-LR was not exceeded.

Detection and Monitoring of Cyanobacteria and Green Algae in River Water Using Derivative Spectrophotometry

Detection and Monitoring of Cyanobacteria and Green Algae in River Water Using Derivative Spectrophotometry

Monitoring of cyanobacteria using derivative spectrophotometry and improvement of the method detection limit by changing pathlength

Abstract Effective monitoring tools and methods are needed for the early detection and management of cyanobacteria in water bodies to minimize their harmful impacts on the environment and public health. This research investigated changing the cuvette pathlength (10-, 50-, and 100-mm) to improve the detection of cyanobacteria using UV-Vis spectrophotometry with subsequent application of derivative spectrophotometry and Savitzky-Golay (S-G) transformation. A non-toxigenic strain of blue-green cyanobacteria, Microcystis aeruginosa (CPCC 632), and a green algae strain for comparison, Chlorella vulgaris (CPCC 90), were studied in a wide range of concentrations (955,000 to 1855 cells/mL). In each concentration range, method detection limits were established with absorbance measurements and S-G first derivative of absorbance using 10-, 50-, and 100-mm cuvette pathlengths. Increasing the cuvette pathlength from 10 to 100 mm resulted in a 15-fold improvement in sensitivity with absorbance and a 13-fold improvement with S-G first derivative of absorbance for M. aeruginosa. Overall, adoption of 100 mm pathlength and application of S-G derivative spectra improved the method detection limit for M. aeruginosa from 337,398 to 4916 cells/mL, which is below the WHO guideline for low probability of adverse health effects (&amp;lt;20,000 cells/mL). Similarly, the detection limit for C. vulgaris was improved from 650,414 to 11,661 cells/mL. The results also showed that spectrophotometry could differentiate M. aeruginosa from C. vulgaris based on the variations in their pigment absorbance peaks.

The role of fluorescence methods in environmental monitoring of cyanobacteria in aquatic systems

In this article the main advantages of fluorescence spectroscopy in the environmental monitoring of cyanobacteria are pointed out. Several widely used environmental monitoring techniques are discussed in terms of fluorescence spectroscopy data application therein. Two illustrations are given to demonstrate the role of cyanobacterial self-fluorescence spectra study.

Monitoring of Cyanobacteria in Water Using Spectrophotometry and First Derivative of Absorbance

Management of cyanobacteria blooms and their negative impact on human and ecosystem health requires effective tools for monitoring their concentration in water bodies. This research investigated the potential of derivative spectrophotometry in detection and monitoring of cyanobacteria using toxigenic and non-toxigenic strains of Microcystis aeruginosa. Microcystis aeruginosa was quantified in deionized water and surface water using traditional spectrophotometry and the first derivative of absorbance. The first derivative of absorbance was effective in improving the signal of traditional spectrophotometry; however, it was not adequate in differentiating between signal and noise at low concentrations. Savitzky-Golay coefficients for first derivative were used to smooth the derivative spectra and improve the correlation between concentration and noise at low concentrations. Derivative spectrophotometry improved the detection limit as much as eight times in deionized water and as much as four times in surface water. The lowest detection limit measured in surface water with traditional spectrophotometry was 392,982 cells/mL, and the Savitzky-Golay first derivative of absorbance was 90,231 cells/mL. The method provided herein provides a promising tool in real-time monitoring of cyanobacteria concentrations and spectrophotometry offers the ability to measure water quality parameters together with cyanobacteria concentrations.

First Detection of Microcystin-LR in the Amazon River at the Drinking Water Treatment Plant of the Municipality of Macapá, Brazil.

Human poisoning by microcystin has been recorded in many countries, including Brazil, where fatal cases have already occurred. The Amazon River is the main source of drinking water in municipalities such as Macapá, where there is no monitoring of cyanobacteria and cyanotoxins. This study investigated the presence of cyanobacteria and cyanotoxins in samples from a drinking water treatment plant (DWTP) that catches water from the Amazon River. The toxin analyses employed ELISA, LC/MS, and molecular screening for genes involved in the production of cyanotoxins. The sampling was carried out monthly from April 2015 to April 2016 at the intake (raw water) and exit (treated water) of the DWTP. This study reports the first detection of microcystin-LR (MC-LR) in the Amazon River, the world’s largest river, and in its treated water destined for drinking water purposes in Macapá, Brazil. The cyanobacterial density and MC-LR concentration were both low during the year. However, Limnothrix planctonica showed a density peak (± 900 cells mL−1) in the quarter of June–August 2015, when MC-LR was registered (2.1 µg L−1). Statistical analyses indicate that L. planctonica may produce the microcystin.

Monitoring cyanobacteria occurrence in freshwater reservoirs using semi-analytical algorithms and orbital remote sensing

Cyanobacterial blooms pose a serious threat to the multiple uses of inland waters because of their adverse effects on the environment and human health. Monitoring cyanobacteria concentrations using traditional methods can be expensive and impractical. Recently, alternative efforts using remote sensing techniques have been successful. In particular, semi-analytical modelling approaches have been used to successfully predict chlorophyll (Chl)-a concentrations from remote sensing reflectance. The aims of this study were to test the performance of different semi-analytical algorithms in the estimation of Chl-a concentrations and the applicability of Sentinel-2 multispectral instrument (MSI) imagery, and its atmospheric correction algorithms, in the estimation of Chl-a concentrations. For our dataset, phycocyanin concentration was strongly correlated with Chl-a concentration and the inversion model of inland waters (IIMIW) semi-analytical algorithm was the best performing model, achieving a root mean square error of 4.6mgm–3 in the prediction of Chl-a. When applying the IIMIW model to MSI data, the use of top-of-atmosphere reflectance performed better than the atmospheric correction algorithm tested. Overall, the results were satisfactory, demonstrating that even without an adequate atmospheric correction pipeline, the monitoring of cyanobacteria can be successfully achieved by applying a semi-analytical bio-optical model to MSI data.

Review of 130 years of research on cyanobacteria in aquatic ecosystems in Serbia presented in a Serbian Cyanobacterial Database

&lt;p&gt;The presence of toxic cyanobacteria in aquatic ecosystems in the territory of the Republic of Serbia was surveyed over a period of several decades. Increasing attention is being paid to some negative consequences that may be caused by these microorganisms. Information from available literary sources regarding the distribution and frequency of cyanobacteria and their toxins over a period of 130 years, together with the effects on humans and wildlife in aquatic ecosystems, were gathered and incorporated into a Serbian Cyanobacterial Database created for the CYANOCOST Action. This database encompasses information on 65 aquatic ecosystems, including rivers, lakes, ponds, canals, irrigation reservoirs, reservoirs used for drinking water supply and reservoirs used for other purposes. Cyanobacterial blooms were found in almost 80% of the investigated aquatic ecosystems. The analysis of the research showed the presence of more than 70 species, including blooms of 24 species from 13 genera. Five species of cyanobacteria: &lt;em&gt;Microcystis aeruginosa&lt;/em&gt;, &lt;em&gt;Aphanizomenon flos-aquae&lt;/em&gt;, &lt;em&gt;Planktothrix agardhii&lt;/em&gt;, &lt;em&gt;Microcystis flos-aquae&lt;/em&gt; and &lt;em&gt;Planktothrix rubescens&lt;/em&gt; frequently formed blooms in the investigated waterbodies and cyanotoxins were also detected in some of them, which had certain negative effects. Here, we present an overview of data contained in the Serbian Cyanobacterial Database, concerning cyanobacterial distribution, cyanotoxin production and associated biological effects in different types of water bodies from the Republic of Serbia. Also, recent important and major cases of cyanobacterial blooming in reservoirs used for drinking water supply: at Vrutci and Ćelije, the Aleksandrovac irrigation reservoir, the Ponjavica River and Lake Palić, including systematic research on the Lake Ludoš and few fishponds are further described. It can be concluded that cyanobacteria and cyanotoxins are omnipresent in different water bodies throughout the Republic of Serbia. For these reasons it is imperative to continue with the monitoring of cyanobacteria and cyanotoxins, as well as to continuously supplement the established database with new information. The Serbian Cyanobacterial Database represents a treasury of information on cyanobacteria and their toxins, and as a model for other countries in the region and beyond. &lt;/p&gt;

Evaluation of models generated via hybrid evolutionary algorithms for the prediction of &lt;i&gt;Microcystis concentrations&lt;/i&gt; in the Vaal Dam, South Africa

Cyanobacteria are responsible for many problems in drinking water treatment works (DWTW) because of their ability to produce cyanotoxins that potentially can have an adverse effect on consumer health. Therefore, the monitoring of cyanobacteria in source waters entering DWTW has become an essential part of drinking water treatment management. Managers of DWTW rely heavily on results from physical, chemical and biological water quality analyses, from grab samples, for their management decisions. However, results of water quality analyses may be delayed from 3 h to 14 days depending on a magnitude of factors such as sampling, distance and accessibility to laboratory, laboratory sample turnaround times, specific methods used in analyses, etc. Therefore, the benefit to managers and production chemists to be able to forecast future events of high cyanobacterial cell concentrations in the source water is evident. During this study, physical, chemical and biological water quality data from samples taken from 2000 to 2009 in the Vaal Dam, supplying South Africa’s largest bulk drinking water treatment facility, were used to develop models for the prediction of the cyanobacterium Microcystis sp. in the source water (real-time prediction together with 7, 14 and 21 days in advance). Water quality data from the Vaal Dam from 2010–2012 were used to test these models. The model showing the most promising results for incorporation into a ‘Cyanobacterial Incident Management Protocol’ is the one predicting Microcystis sp. 7 days in advance. This model showed a square correlation coefficient (R 2 ) of 0.90 when tested with the testing dataset (chosen by bootstrapping from the 2000–2009 input dataset) and a R 2 of 0.53 when tested with the 3-year ‘unseen’ dataset from 2010–2012. Keywords : cyanobacteria, drinking water treatment works, prediction models, cyanobacterial incident management protocol, water safety plan

Cianobactérias e microcistina em águas de rio destinadas ao abastecimento de centro industrial de Caruaru, PE, Brasil

Cyanotoxin producing Cyanobacteria can cause serious harm to human and animal health. Microcystins, the most common type of cyanotoxins, promote liver tumors in men. Thus, we aimed at verifying the occurrence of cyanobacteria in water samples from the Ipojuca’s river at the perimeter of Caruaru-PE, Brazil, and determining if the toxin was also present. Water samples were collected at five strategic points over thirteen consecutive months. High Performance Liquid Chromatography (HPLC) was used to obtain microcystins. The Utermohl sedimentation method was used to identify and quantify species. This approach found that the toxin was present in 100% of the samples, and pointed to three genera of microcystin producers. The river provides the one of the source for public water supply in the region, confirming the relevance of continuous monitoring of cyanobacteria and cyanotoxins. As observed in the Ipojuca river, several water sources at Pernambuco also present recurrent cyanobacterial blooms, which may contain toxin producers. The blooms occur mainly in the dry season, when water is an invaluable commodity for humans and life stock. Finally, this study showed the importance of monitoring microcystin to support preventive actions in environmental and public health surveillance.

Eutrophic urban ponds suffer from cyanobacterial blooms: Dutch examples.

Ponds play an important role in urban areas. However, cyanobacterial blooms counteract the societal need for a good water quality and pose serious health risks for citizens and pets. To provide insight into the extent and possible causes of cyanobacterial problems in urban ponds, we conducted a survey on cyanobacterial blooms and studied three ponds in detail. Among 3,500 urban ponds in the urbanized Dutch province of North Brabant, 125 showed cyanobacterial blooms in the period 2009-2012. This covered 79% of all locations registered for cyanobacterial blooms, despite the fact that urban ponds comprise only 11% of the area of surface water in North Brabant. Dominant bloom-forming genera in urban ponds were Microcystis, Anabaena and Planktothrix. In the three ponds selected for further study, the microcystin concentration of the water peaked at 77 μg l(-1) and in scums at 64,000 μg l(-1), which is considered highly toxic. Microcystin-RR and microcystin-LR were the most prevalent variants in these waters and in scums. Cyanobacterial chlorophyll-a peaked in August with concentrations up to 962 μg l(-1) outside of scums. The ponds were highly eutrophic with mean total phosphorus concentrations between 0.16 and 0.44 mg l(-1), and the sediments were rich in potential releasable phosphorus. High fish stocks dominated by carp lead to bioturbation, which also favours blooms. As urban ponds in North Brabant, and likely in other regions, regularly suffer from cyanobacterial blooms and citizens may easily have contact with the water and may ingest cyanobacterial material during recreational activities, particularly swimming, control of health risk is of importance. Monitoring of cyanobacteria and cyanobacterial toxins in urban ponds is a first step to control health risks. Mitigation strategies should focus on external sources of eutrophication and consider the effect of sediment P release and bioturbation by fish.

Ecological development and genetic diversity of Microcystis aeruginosa from artificial reservoir in Russia

Microcystis aeruginosa is a well-known Cyanobacterium responsible for the formation of toxic water blooms around the world. Shallow, warm, and eutrophic reservoirs provide the most favourable conditions for M. aeruginosa development. Numerous studies have been devoted to this species, but there still is a necessity to develop additional approaches for the monitoring of cyanobacteria in reservoirs. In this study, M. aeruginosa in the water column of a hypereutrophic Siberian reservoir was investigated by fluorescence, light, and electron microscopy as well as genetic analysis using a mcyE marker. Here, we demonstrate the genetic diversity and features of the fluorescence spectra for different ecotypes of this species. We suggest that a fluorescence approach can be used to identify M. aeruginosa in a natural environment in order to increase the effectiveness of ecological monitoring and water quality evaluation.

Managing the Risk of Emerging Algae Toxins in Drinking Water: Development of a Targeted Analytical Approach

The objective of the study was to identify appropriate analytical scenarios to assess the release of emerging toxins in water resources and manage the risk for drinking water. A comprehensive toolbox was developed for the monitoring of cyanobacteria and cyanotoxins in ten water resources used for drinking water production and known for regular algae blooms. Six toxins - microcystins, cylindrospermopsin, anatoxins, nodularin, saxitoxin and BMAA - were targeted. High performance HPLC-MS/MS methods were implemented in parallel with rapid kits and a real-time PCR method was developed to identify specifically the microcystin producing species. Those analytical methods were found in good agreement and very sensitive and selective. Low levels of eutrophication were obtained during those campaigns leading to limited occurrence of toxins. Results obtained on one site are detailed in this paper. Finally, recommendations could be drawn to manage the risk related to various emerging algae toxins, based on the use of a phycocyanin probe on-site as early-warning system. When a threshold value is reached, treatment and monitoring strategies are implemented in parallel.

Influence of sampling strategies on the monitoring of cyanobacteria in shallow lakes: Lessons from a case study in France

Sampling cyanobacteria in freshwater ecosystems is a crucial aspect of monitoring programs in both basic and applied research. Despite this, few papers have dealt with this aspect, and a high proportion of cyanobacteria monitoring programs are still based on monthly or twice-monthly water sampling, usually performed at a single location. In this study, we conducted high frequency spatial and temporal water sampling in a small eutrophic shallow lake that experiences cyanobacterial blooms every year. We demonstrate that the spatial and temporal aspects of the sampling strategy had a considerable impact on the findings of cyanobacteria monitoring in this lake. In particular, two peaks of Aphanizomenon flos-aquae cell abundances were usually not picked up by the various temporal sampling strategies tested. In contrast, sampling once a month was sufficient to provide a good overall estimation of the population dynamics of Microcystis aeruginosa. The spatial frequency of sampling was also important, and the choice in the location of the sampling points around the lake was very important if only two or three sampling points were used. When four or five sampling points were used, this reduced the impact of the choice of the location of the sampling points, and allowed to obtain fairly similar results than when six sampling points were used. These findings demonstrate the importance of the sampling strategy in cyanobacteria monitoring, and the fact that it is impossible to propose a single universal sampling strategy that is appropriate for all freshwater ecosystems and also for all cyanobacteria.

Diagnóstico da qualidade analítica na quantificação de cianobactérias

O aumento de florações de cianobactérias em mananciais utilizados para abastecimento é uma preocupação global. Seguindo as diretrizes da Organização Mundial da Saúde, a portaria nº 518/2004 do Ministério da Saúde, determina o monitoramento de cianobactérias nos mananciais superficiais e, quando for o caso, na água tratada. No Brasil, não há padronização de métodos de análise; assim, os métodos utilizados devem fornecer resultados confiáveis. Por meio da participação voluntária, um programa de ensaios de proficiência em cianobactérias foi realizado em 2010. Este trabalho apresenta o diagnóstico do desempenho dos laboratórios na identificação e contagem de cianobactérias. Os resultados das contagens foram submetidos ao cálculo do escore z, obtendo-se 80% de laboratórios com desempenho satisfatório. Divergências foram observadas na identificação dos gêneros de cianobactérias.

A phycocyanin probe as a tool for monitoring cyanobacteria in freshwater bodies

In many countries, the presence of cyanobacteria in freshwater bodies used for both drinking water and recreational purposes is under increasing public health attention. Water managers are considering how to implement monitoring that leads to a minimization of the risks incurred by the users of potentially contaminated sites. To address this question, this study involved assessing the performance of a submersible probe for measuring phycocyanin-specific fluorescence as a function of cyanobacterial biomass, with the aim of applying it as a tool for surveillance management. Its advantages and limits compared to more traditional analyses are discussed. The monitoring of cyanobacteria in the water bodies of western France was carried out using a minifluorimeter specific to the fluorescence of phycocyanin, a pigment specific to cyanobacteria. The results are compared with the analyses recommended by the World Health Organisation (chlorophyll a and cell counting). This study based on nearly 800 samples shows a significant correlation between the phycocyanin content and the cyanobacterial biomass, expressed as the number of cells per mL (R2 = 0.73). This submersible probe is simple and rapid to use, making it possible to take into account horizontal and vertical heterogeneities in the proliferation growth. In this way, we are able to detect at an early stage the conditions that could potentially lead to a risk, in order to start sampling. Due to its sensitivity, this tool proves suitable for monitoring aimed at reducing the risks incurred by the users of contaminated sites and launching preventative actions. The use of the phycocyanin probe provides an effective tool to complement traditional analyses of cyanobacterial presence. It is suggested that a surveillance protocol based on phycocyanin concentration can significantly improved the accuracy of the extent of cyanobacterial bloom development in the light of spatial and temporal variabilities associated with these occurrences.