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Cited by 484

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Polymerase chain reaction detection of nonviable bacterial pathogens

Open access
Josephson, K L, Gerba, C P, Pepper, I L·1993·Applied and Environmental Microbiology

Abstract

Polymerase chain reaction (PCR) methodologies for detection of pathogens in environmental samples are currently available. However, positive amplification products for any set of primers only signal that the appropriate target nucleic acid sequences were present in the sample. The presence of the amplification products does not imply that the target organisms were viable. Here we show that PCR will detect nonviable cells, as long as intact target nucleic acid sequences are available. In an environmental water sample, nucleic acids degraded quickly and were not detectable by PCR after 3 weeks even when stored at 4 degrees C. However, these data show that there is a window of opportunity for PCR analyses to result in false positives with respect to viable cells. We further show that care must be taken in the way samples are stored for future PCR amplifications and that filter sterilization of media is not acceptable for long-term preservation of samples for PCR.

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Registry

Crossref · 10.1128/aem.59.10.3513-3515.1993

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9 of 9 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Josephson, K. L., Gerba, C. P., & Pepper, I. L.
Venue
Applied and Environmental Microbiology
Published
1993-10
Volume
59
Issue
10
Pages
3513-3515
ISSN
  • 0099-2240 (ISSN-L)
  • 1098-5336
OpenAlex
W1491378788
Cited by
484
References
9
FWCI
20.84
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Polymerase chain reaction detection of nonviable bacterial pathogens. https://app.cochat.ai/papers/10.1128/aem.59.10.3513-3515.1993
The paper
Josephson, K. L., Gerba, C. P., & Pepper, I. L. (1993). Polymerase chain reaction detection of nonviable bacterial pathogens. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.59.10.3513-3515.1993

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.