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Cost Effective Methods for Analyzing Nitrate and Phosphate in Lake Samples

Keuka College is a primarily undergraduate institution located on the shore of Keuka Lake. With limited research funding, the College’s Center for Aquatic Research is seeking cost-effective nutrient analysis methods to determine nutrient run-off hotspots around the lake. Over the past few decades, Keuka Lake, in the Finger Lakes region of Upstate New York, has changed from an oligotrophic lake to a mesoligotrophic lake. With Keuka Lake becoming mesoligotrophic, more cyanobacterial harmful algal blooms have been identified in recent years. This can lead to ecological imbalances and water quality deterioration affecting Keuka Lake’s ecosystem dynamics, lake eutrophication, and economic impacts on local towns. Here, potential cost-effective UV-Spectrophotometry methods were utilized for determining total nitrogen by second-derivative and soluble reactive phosphorus via molybdate blue. Future research will aim to validate the reliability of these methods and expand sampling potential hotspot sites across Keuka Lake to determine where excessive nutrient levels originate.

In June 2023, 11 rivers from the Bering Sea to the Arctic Ocean were sampled within a two-week period. 12 samples were collected from each river resulting in 132 samples. These samples were processed to determine the relationships between different aspects of aquatic biofilm across a latitudinal gradient. The aquatic biofilm consisted of diatom sample. Diatom samples from each river were cleaned using hydrochloric acid then mounted on Naphrax medium for microscopic analysis. Chlorophyll-a (chl-a) analysis of samples was also completed using filtered river water through a 0.7 mm GF/F fiberglass filter (Whatman), applying vacuum until the sample was dry. Ethanol was then added to samples and refrigerated overnight to incubate. After centrifugation, chl-a was analyzed using UV-Spectrophotometry at 665 nm and 750 nm both before and after acidification using hydrochloric acid. This research will be used to determine what environmental parameters drive biofilm composition which will in turn lead to a better understanding of potential future environmental changes in the region associated with climate change.

Determining Aquatic Biofilm Variability in Alaskan Rivers Across a Latitudinal Gradient

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