16 phycocyanin-containing blue-green algae – Xylem 6-Series Multiparameter User Manual

Page 269

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Principles of Operation

Section 5

YSI Incorporated

Environmental Monitoring Systems Manual

5-31

experiments indicate that a suspension of phytoplankton measured with a YSI 6025 sensor will have

chlorophyll interference characterized by a factor of about 0.10 µg/L Rhodamine WT per ug/L of

chlorophyll. For example, the chlorophyll content of the water must be above 30 ug/L chlorophyll to

produce an apparent Rhodamine WT reading equal to 3 µg/L. In water with a high algal content, the user

may wish to use the independently-determined chlorophyll value and the above compensation factor to

correct measured Rhodamine values using, for example, a spreadsheet.

5.16 PHYCOCYANIN-CONTAINING BLUE-GREEN

ALGAE

Introduction

Blue-green algae (BGA), also known as cyanobacteria, are common forms of photosynthetic bacteria

present in most freshwater and marine environments. BGA contain a unique set of accessory pigments of

the phycobiliprotein family that serve a variety of roles for the organism. The primary phycobilin pigments

are phycocyanin (PC) and phycoerythrin (PE) and both happen to have strong fluorescent signatures that do

not interfere significantly with the fluorescence of the chlorophylls. This allows for the in vivo detection of

cyanobacteria with minimal interference from other groups of algae. BGA with the PC phycobilin

pigment can be found in both fresh and brackish water environments while BGA with the PE phycobilin

pigment is usually found only in brackish or marine environments.

The monitoring of BGA is of growing interest in a number of research and monitoring fields and of

particular interest is the monitoring of BGA as a public health risk in freshwater and estuarine areas. As

the rates of eutrophication accelerate due to human impacts on aquatic ecosystems, algal blooms are

becoming a more common problem. In the case of BGA blooms, some species can produce toxins

generally referred to as cyanotoxins that can cause health risks to humans and animals. The real-time

monitoring of BGA through fluorometry can serve as an early warning system for potentially hazardous

conditions. In addition to potential toxin production, BGA blooms can also result in water with an

unpleasant appearance, and in the case of drinking water, an unpleasant taste and odor. These problems

adversely affect water quality and diminish the water's recreational utility. Also of concern are high cell

concentrations causing an increase in filter run times in drinking water plants. Thus, monitoring the BGA

population and distribution in lakes, reservoirs and estuarine areas is extremely important for basic

research, resource protection, and public health and safety.

The YSI 6131 sensor, when used in conjunction with YSI 6-series multiparameter sondes, is designed to

detect and monitor the presence of PC-containing BGA in order to eliminate, or at least reduce, their public

health risks and their general effects on drinking water purification.

The determination of BGA as an indicator of water quality has historically been carried out using either (a)

extraction of BGA samples followed by analysis of the extracts by fluorometry, HPLC, or a combination of

the two techniques or (b) the automated or manual counting of actual BGA cells in the known volume of

sample water. While accurate, these types of analytical techniques usually are done as part of a “spot

sampling” protocol and almost never yield continuous data with regard to BGA content. The methods are

time-consuming and usually require an experienced, efficient analyst to generate consistently accurate and

reproducible results. Most importantly, the methods do not lend themselves readily to continuous

monitoring of PC-containing BGA, since the analysis of a collection of samples taken at reasonable time

intervals, e.g., every hour, would be extremely tedious.

YSI has developed the YSI 6131 sensor for the determination of PC-containing BGA in spot sampling and

continuous monitoring applications. It is based on an alternative method for the measurement of BGA

which overcomes the disadvantages of discrete laboratory methods outlined above, albeit with the potential

loss of accuracy. In this procedure, PC-containing BGA are measured in vivo, i.e., without either

disrupting the cells as in the laboratory extractive analysis procedure or using cell counting techniques as

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