Validity assessment of Michigan's proposed qPCR threshold value for rapid water-quality monitoring of E. coli contamination. (1st November 2022)
- Record Type:
- Journal Article
- Title:
- Validity assessment of Michigan's proposed qPCR threshold value for rapid water-quality monitoring of E. coli contamination. (1st November 2022)
- Main Title:
- Validity assessment of Michigan's proposed qPCR threshold value for rapid water-quality monitoring of E. coli contamination
- Authors:
- 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. - Abstract:
- Highlights: E. coli levels were measured with Colilert® and qPCR at >100 beaches in 2016–2020. Michigan's proposed qPCR threshold value (qTV) for beach notifications was assessed. The proposed qTV predicted Colilert decisions 95% correctly during 2019–2020. The false-negative rate (FNR) for qPCR on the sampling day was 25–29%. For comparison, the effective FNR for Colilert on the sampling day was 100%. Abstract: 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 purposeHighlights: E. coli levels were measured with Colilert® and qPCR at >100 beaches in 2016–2020. Michigan's proposed qPCR threshold value (qTV) for beach notifications was assessed. The proposed qTV predicted Colilert decisions 95% correctly during 2019–2020. The false-negative rate (FNR) for qPCR on the sampling day was 25–29%. For comparison, the effective FNR for Colilert on the sampling day was 100%. Abstract: 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. Graphical abstract: Image, graphical abstract … (more)
- Is Part Of:
- Water research. Volume 226(2022)
- Journal:
- Water research
- Issue:
- Volume 226(2022)
- Issue Display:
- Volume 226, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 226
- Issue:
- 2022
- Issue Sort Value:
- 2022-0226-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-11-01
- Subjects:
- Beach monitoring -- Recreational water quality -- Fecal indicator bacteria (FIB) -- Escherichia coli (E. coli) -- Quantitative polymerase chain reaction (qPCR) -- EPA draft method C
Water -- Pollution -- Research -- Periodicals
363.7394 - Journal URLs:
- http://catalog.hathitrust.org/api/volumes/oclc/1769499.html ↗
http://www.sciencedirect.com/science/journal/00431354 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.watres.2022.119235 ↗
- Languages:
- English
- ISSNs:
- 0043-1354
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9273.400000
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British Library HMNTS - ELD Digital store - Ingest File:
- 24256.xml