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Chaffin JD, Barker KB, Bickman SR, Bratton JF, Bridgeman TB, Bhatia M, Buchholz SD, Bullerjahn GS, Johengen TH, Kang DW, Lewis GG, Lochhead MJ, Macdonald BM, Petrou CL, Platz M, Purcell H, Roser J, Seo Y, Siddiquee M, Snyder B, Taylor AT, Verhamme EM, Westrick JA. An assessment of a biosensor system for the quantification of microcystins in freshwater cyanobacterial blooms. Anal Biochem 2024; 687:115429. [PMID: 38113981 DOI: 10.1016/j.ab.2023.115429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/29/2023] [Accepted: 12/11/2023] [Indexed: 12/21/2023]
Abstract
Microcystin-producing cyanobacterial blooms are a global issue threatening drinking water supplies and recreation on lakes and beaches. Direct measurement of microcystins is the only way to ensure waters have concentrations below guideline concentrations; however, analyzing water for microcystins takes several hours to days to obtain data. We tested LightDeck Diagnostics' bead beater cell lysis and two versions of the quantification system designed to give microcystin concentrations within 20 min and compared it to the standard freeze-thaw cycle lysis method and ELISA quantification. The bead beater lyser was only 30 % effective at extracting microcystins compared to freeze-thaw. When considering freeze-thaw samples analyzed in 2021, there was good agreement between ELISA and LightDeck version 2 (n = 152; R2 = 0.868), but the LightDeck slightly underestimated microcystins (slope of 0.862). However, we found poor relationships between LightDeck version 2 and ELISA in 2022 (n = 49, slopes 0.60 to 1.6; R2 < 0.6) and LightDeck version 1 (slope = 1.77 but also a high number of less than quantifiable concentrations). After the quantification issues are resolved, combining the LightDeck system with an already-proven rapid lysis method (such as microwaving) will allow beach managers and water treatment operators to make quicker, well-informed decisions.
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Affiliation(s)
- Justin D Chaffin
- F.T. Stone Laboratory and Ohio Sea Grant, The Ohio State University, Put in Bay, Ohio 43456, USA; Bowling Green State University, Bowling Green, Ohio 43403, USA.
| | | | - Sarah R Bickman
- LightDeck Diagnostics, Inc., 5603 Arapahoe Ave, Boulder, Colorado 80303, USA
| | - John F Bratton
- LimnoTech, Inc. 501 Avis Dr., Ann Arbor Michigan 48108, USA
| | | | - Mudit Bhatia
- Department of Civil and Environmental Engineering, University of Toledo, 3006 Nitschke Hall, Toledo, Ohio 43606, USA
| | - Seth D Buchholz
- Bowling Green State University, Bowling Green, Ohio 43403, USA
| | | | - Thomas H Johengen
- Cooperative Institute for Great Lakes Research, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Dae-Wook Kang
- Department of Civil and Environmental Engineering, University of Toledo, 3006 Nitschke Hall, Toledo, Ohio 43606, USA
| | - Gregory G Lewis
- LightDeck Diagnostics, Inc., 5603 Arapahoe Ave, Boulder, Colorado 80303, USA
| | - Michael J Lochhead
- LightDeck Diagnostics, Inc., 5603 Arapahoe Ave, Boulder, Colorado 80303, USA
| | - Brooks M Macdonald
- LightDeck Diagnostics, Inc., 5603 Arapahoe Ave, Boulder, Colorado 80303, USA
| | - Cassandra L Petrou
- LightDeck Diagnostics, Inc., 5603 Arapahoe Ave, Boulder, Colorado 80303, USA
| | - Michelle Platz
- LimnoTech, Inc. 501 Avis Dr., Ann Arbor Michigan 48108, USA
| | - Heidi Purcell
- Cooperative Institute for Great Lakes Research, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Jack Roser
- LightDeck Diagnostics, Inc., 5603 Arapahoe Ave, Boulder, Colorado 80303, USA
| | - Youngwoo Seo
- Department of Civil and Environmental Engineering, University of Toledo, 3006 Nitschke Hall, Toledo, Ohio 43606, USA; Department of Chemical Engineering, University of Toledo, 3048 Nitschke Hall, Toledo, Ohio 43606, USA
| | - Mashuk Siddiquee
- Department of Civil and Environmental Engineering, University of Toledo, 3006 Nitschke Hall, Toledo, Ohio 43606, USA
| | - Brenda Snyder
- Lake Erie Center, The University of Toledo, Oregon, Ohio 43616, USA
| | - Autumn T Taylor
- F.T. Stone Laboratory and Ohio Sea Grant, The Ohio State University, Put in Bay, Ohio 43456, USA
| | | | - Judy A Westrick
- Lumigen Instrument Center, Wayne State University, 5101Cass Ave., Detroit, Michigan 48202, USA
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Chaffin JD, Bratton JF, Verhamme EM, Bair HB, Beecher AA, Binding CE, Birbeck JA, Bridgeman TB, Chang X, Crossman J, Currie WJS, Davis TW, Dick GJ, Drouillard KG, Errera RM, Frenken T, MacIsaac HJ, McClure A, McKay RM, Reitz LA, Domingo JWS, Stanislawczyk K, Stumpf RP, Swan ZD, Snyder BK, Westrick JA, Xue P, Yancey CE, Zastepa A, Zhou X. The Lake Erie HABs Grab: A binational collaboration to characterize the western basin cyanobacterial harmful algal blooms at an unprecedented high-resolution spatial scale. Harmful Algae 2021; 108:102080. [PMID: 34588116 PMCID: PMC8682807 DOI: 10.1016/j.hal.2021.102080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 06/29/2021] [Accepted: 06/30/2021] [Indexed: 05/12/2023]
Abstract
Monitoring of cyanobacterial bloom biomass in large lakes at high resolution is made possible by remote sensing. However, monitoring cyanobacterial toxins is only feasible with grab samples, which, with only sporadic sampling, results in uncertainties in the spatial distribution of toxins. To address this issue, we conducted two intensive "HABs Grabs" of microcystin (MC)-producing Microcystis blooms in the western basin of Lake Erie. These were one-day sampling events during August of 2018 and 2019 in which 100 and 172 grab samples were collected, respectively, within a six-hour window covering up to 2,270 km2 and analyzed using consistent methods to estimate the total mass of MC. The samples were analyzed for 57 parameters, including toxins, nutrients, chlorophyll, and genomics. There were an estimated 11,513 kg and 30,691 kg of MCs in the western basin during the 2018 and 2019 HABs Grabs, respectively. The bloom boundary poses substantial issues for spatial assessments because MC concentration varied by nearly two orders of magnitude over very short distances. The MC to chlorophyll ratio (MC:chl) varied by a factor up to 5.3 throughout the basin, which creates challenges for using MC:chl to predict MC concentrations. Many of the biomass metrics strongly correlated (r > 0.70) with each other except chlorophyll fluorescence and phycocyanin concentration. While MC and chlorophyll correlated well with total phosphorus and nitrogen concentrations, MC:chl correlated with dissolved inorganic nitrogen. More frequent MC data collection can overcome these issues, and models need to account for the MC:chl spatial heterogeneity when forecasting MCs.
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Affiliation(s)
- Justin D Chaffin
- F.T. Stone Laboratory and Ohio Sea Grant, The Ohio State University, 878 Bayview Ave. P.O. Box 119, Put-In-Bay, OH 43456, USA.
| | | | | | - Halli B Bair
- F.T. Stone Laboratory and Ohio Sea Grant, The Ohio State University, 878 Bayview Ave. P.O. Box 119, Put-In-Bay, OH 43456, USA
| | - Amber A Beecher
- Lake Erie Center, University of Toledo, 6200 Bayshore Rd., Oregon, OH 43616, USA
| | - Caren E Binding
- Environment and Climate Change Canada, Canada Centre for Inland Waters, 867 Lakeshore Road, Burlington, Ontario L7S1A1, Canada
| | - Johnna A Birbeck
- Lumigen Instrument Center, Wayne State University, 5101Cass Ave., Detroit, MI 48202, USA
| | - Thomas B Bridgeman
- Lake Erie Center, University of Toledo, 6200 Bayshore Rd., Oregon, OH 43616, USA
| | - Xuexiu Chang
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Ave., Windsor, Ontario N9B 3P4, Canada; School of Ecology and Environmental Sciences, Yunnan University, Kunming 650091, PR China
| | - Jill Crossman
- School of the Environment, University of Windsor, 401 Sunset Avenue, Windsor, Ontario N9B 3P4, Canada
| | - Warren J S Currie
- Fisheries and Oceans Canada, Canada Centre for Inland Waters, 867 Lakeshore Rd., Burlington, Ontario L7S 1A1, Canada
| | - Timothy W Davis
- Biological Sciences, Bowling Green State University, Life Sciences Building, Bowling Green, OH 43402, United States
| | - Gregory J Dick
- Department of Earth and Environmental Sciences, University of Michigan, 2534 North University Building, 1100 North University Avenue, Ann Arbor, MI 48109-1005, USA
| | - Kenneth G Drouillard
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Ave., Windsor, Ontario N9B 3P4, Canada
| | - Reagan M Errera
- Great Lakes Environmental Research Laboratory, National Oceanic and Atmospheric Administration, Ann Arbor, MI 48108, USA
| | - Thijs Frenken
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Ave., Windsor, Ontario N9B 3P4, Canada
| | - Hugh J MacIsaac
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Ave., Windsor, Ontario N9B 3P4, Canada
| | - Andrew McClure
- Division of Water Treatment, City of Toledo, Toledo, OH 43605, USA
| | - R Michael McKay
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Ave., Windsor, Ontario N9B 3P4, Canada
| | - Laura A Reitz
- Biological Sciences, Bowling Green State University, Life Sciences Building, Bowling Green, OH 43402, United States
| | | | - Keara Stanislawczyk
- F.T. Stone Laboratory and Ohio Sea Grant, The Ohio State University, 878 Bayview Ave. P.O. Box 119, Put-In-Bay, OH 43456, USA
| | - Richard P Stumpf
- National Ocean Service, National Oceanic and Atmospheric Administration, 1305 East West Highway, Silver Spring, MD 20910, USA
| | - Zachary D Swan
- Lake Erie Center, University of Toledo, 6200 Bayshore Rd., Oregon, OH 43616, USA
| | - Brenda K Snyder
- Lake Erie Center, University of Toledo, 6200 Bayshore Rd., Oregon, OH 43616, USA
| | - Judy A Westrick
- Lumigen Instrument Center, Wayne State University, 5101Cass Ave., Detroit, MI 48202, USA
| | - Pengfei Xue
- Civil and Environmental Engineering, Michigan Technological University, 1400 Townsend Dr., Houghton, MI 49931, USA
| | - Colleen E Yancey
- Department of Earth and Environmental Sciences, University of Michigan, 2534 North University Building, 1100 North University Avenue, Ann Arbor, MI 48109-1005, USA
| | - Arthur Zastepa
- Environment and Climate Change Canada, Canada Centre for Inland Waters, 867 Lakeshore Road, Burlington, Ontario L7S1A1, Canada
| | - Xing Zhou
- Civil and Environmental Engineering, Michigan Technological University, 1400 Townsend Dr., Houghton, MI 49931, USA
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Szymczycha B, Kroeger KD, Crusius J, Bratton JF. Depth of the vadose zone controls aquifer biogeochemical conditions and extent of anthropogenic nitrogen removal. Water Res 2017; 123:794-801. [PMID: 28750329 DOI: 10.1016/j.watres.2017.06.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Revised: 06/13/2017] [Accepted: 06/17/2017] [Indexed: 06/07/2023]
Abstract
We investigated biogeochemical conditions and watershed features controlling the extent of nitrate removal through microbial dinitrogen (N2) production within the surficial glacial aquifer located on the north and south shores of Long Island, NY, USA. The extent of N2 production differs within portions of the aquifer, with greatest N2 production observed at the south shore of Long Island where the vadose zone is thinnest, while limited N2 production occurred under the thick vadose zones on the north shore. In areas with a shallow water table and thin vadose zone, low oxygen concentrations and sufficient DOC concentrations are conducive to N2 production. Results support the hypothesis that in aquifers without a significant supply of sediment-bound reducing potential, vadose zone thickness exerts an important control of the extent of N2 production. Since quantification of excess N2 relies on knowledge of equilibrium N2 concentration at recharge, calculated based on temperature at recharge, we further identify several features, such as land use and cover, seasonality of recharge, and climate change that should be considered to refine estimation of recharge temperature, its deviation from mean annual air temperature, and resulting deviation from expected equilibrium gas concentrations.
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Affiliation(s)
- B Szymczycha
- Institute of Oceanology Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland; USGS Woods Hole Coastal and Marine Science Center, 384 Woods Hole Road, Woods Hole, MA 02543, USA.
| | - K D Kroeger
- USGS Woods Hole Coastal and Marine Science Center, 384 Woods Hole Road, Woods Hole, MA 02543, USA
| | - J Crusius
- USGS at UW School of Oceanography, 1492 NE Boat St., Box 355351, Seattle, WA 98195, USA
| | - J F Bratton
- LimnoTech, 501 Avis Drive, Ann Arbor, MI 48108, USA
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