Your browser doesn't support javascript.
loading
Validity assessment of Michigan's proposed qPCR threshold value for rapid water-quality monitoring of E. coli contamination.
McNair, James N; Lane, Molly J; Hart, John J; Porter, Alexis M; Briggs, Shannon; Southwell, Benjamin; Sivy, Tami; Szlag, David C; Scull, Brian T; Pike, Schuyler; Dreelin, Erin; Vernier, Chris; Carter, Bonnie; Sharp, Josh; Nowlin, Penny; Rediske, Richard R.
Afiliación
  • McNair JN; Robert B. Annis Water Resources Institute, 740 West Shoreline Dr., Muskegon, MI 49441, USA. Electronic address: mcnairja@gvsu.edu.
  • Lane MJ; Robert B. Annis Water Resources Institute, 740 West Shoreline Dr., Muskegon, MI 49441, USA.
  • Hart JJ; Robert B. Annis Water Resources Institute, 740 West Shoreline Dr., Muskegon, MI 49441, USA.
  • Porter AM; Robert B. Annis Water Resources Institute, 740 West Shoreline Dr., Muskegon, MI 49441, USA.
  • Briggs S; Michigan Department of Environment, Great Lakes, and Energy, 525W. Allegan St., Lansing, MI 48909, USA.
  • Southwell B; Lake Superior State University, 650W Easterday Ave., Sault Ste Marie, MI 49783, USA.
  • Sivy T; Saginaw Valley State University, Department of Chemistry, 7400 Bay Road, University Center, MI 48710, USA.
  • Szlag DC; Oakland University, Department of Chemistry, 146 Library Dr., Rochester, MI 48309, USA.
  • Scull BT; Robert B. Annis Water Resources Institute, 740 West Shoreline Dr., Muskegon, MI 49441, USA.
  • Pike S; Ferris State University, Shimadzu Core Laboratory, 820 Campus Dr., Big Rapids, MI 49307, USA.
  • Dreelin E; Michigan State University, Department of Fisheries and Wildlife, 420 Wilson Rd, East Lansing, MI 48824, USA.
  • Vernier C; Assurance Water Laboratory, Central Michigan District Health Department, 103N Bowery Ave, Gladwin, MI 48624, USA.
  • Carter B; Oakland County Health Division Laboratory, 1200N. Telegraph, Pontiac, MI, 48341, USA.
  • Sharp J; Biology Department, Northern Michigan University, 1401 Presque Isle Avenue, Marquette, MI 49855, USA.
  • Nowlin P; Northern Michigan Regional Lab, Health Department of Northwest Michigan, 95 Livingston Blvd, Gaylord, MI 49735, USA.
  • Rediske RR; Robert B. Annis Water Resources Institute, 740 West Shoreline Dr., Muskegon, MI 49441, USA.
Water Res ; 226: 119235, 2022 Nov 01.
Article en En | MEDLINE | ID: mdl-36257159
Michigan's water-quality standards specify that E. coli concentrations at bathing beaches must not exceed 300 E. coli per 100 mL, as determined by the geometric mean of culture-based concentrations in three or more representative samples from a given beach on a given day. Culture-based analysis requires 18⁠-⁠24 h to complete, so results are not available on the day of sampling. This one-day delay is problematic because results cannot be used to prevent recreation at beaches that are unsafe on the sampling day, nor do they reliably indicate whether recreation should be prevented the next day, due to high between-day variability in E. coli concentrations demonstrated by previous studies. By contrast, qPCR-based E. coli concentrations can be obtained in 3-4 h, making same-day beach notification decisions possible. Michigan has proposed a qPCR threshold value (qTV) for E. coli of 1.863 log10 gene copies per reaction as a potential equivalent value to the state standard, based on statistical analysis of a set of state-wide training data from 2016 to 2018. The main purpose of the present study is to assess the validity of the proposed qTV by determining whether the implied qPCR-based beach notification decisions agree well with culture-based decisions on two sets of test data from 2016⁠-⁠2018 (6,564 samples) and 2019-2020 (3,205 samples), and whether performance of the proposed qTV is similar on the test and training data. The results show that performance of Michigan's proposed qTV on both sets of test data was consistently good (e.g., 95% agreement with culture-based beach notification decisions during 2019⁠-⁠2020) and was as good as or better than its performance on the training data set. The false-negative rate for the proposed qTV was 25-29%, meaning that beach notification decisions based on the qTV would be expected to permit recreation on the day of sampling in 25-29% of cases where the beach exceeds the state standard for FIB contamination. This false-negative rate is higher than one would hope to see but is well below the corresponding error rate for culture-based decisions, which permit recreation at beaches that exceed the state standard on the day of sampling in 100% of cases because of the one-day delay in obtaining results. The key advantage of qPCR-based analysis is that it permits a large percentage (71-75%) of unsafe beaches to be identified in time to prevent recreation on the day of sampling.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Agua / Escherichia coli País/Región como asunto: America do norte Idioma: En Revista: Water Res Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Agua / Escherichia coli País/Región como asunto: America do norte Idioma: En Revista: Water Res Año: 2022 Tipo del documento: Article