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Use of Caffeine to Identify and Quantify Wastewater Contamination in urban Streams
Ghosh, Upal
Traditionally, bacterial indicators such as faecal
coliforms have been used to detect and monitor the
contamination of natural waters by municipal
wastewaters. However, the reliability of such
measures has been questioned because of their short
time of survival and their limited source
specificity. An ideal marker should allow the
unambiguous determination of the source,
quantification of the magnitude of the pollution, and
should have a relatively steady rate of consumption
and release into wastewaters. Caffeine is a
constituent of a variety of beverages and food
products and is widely consumed across the world. In
a recent study by the USGS in 139 streams across the
United States, caffeine was identified as a common
contaminant with a frequency of detection of 70%.
In this research we are investigating the inputs and
fate of caffeine in an urban stream (Gwynns Falls) in
Baltimore City. We have developed a method for
caffeine analysis using gas chromatography and mass
spectrometry that gives us very low detection limits
in water. Shown in Figure 1 are some of our
measurements of caffeine concentration in various
streams in the Gwynns Falls watershed. We measured
high levels of caffeine (average of 1,030 ng/L) in
water samples from one of the tributaries (Gwynns
Run) that has a suspected contamination from a
leaking underground sewer line. We show that using a
simple mixing model we can calculate the flux of
wastewater-contaminated stream flowing into Gwynns
Falls. Based on laboratory biodegradation and
photochemical degradation tests, caffeine appears to
be reasonably conservative in the water column for
typical travel times in an urban watershed near the
coast. Inputs from this research are helping a
larger collaborative effort among UMBC, Baltimore
Ecosystem Study, and Baltimore City to understand the
inputs and fate of wastewater-related contaminants in
a highly urbanized watershed.
Keywords:
caffeine, wastewater, urban streams, contamination
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