Evidence map›Paper›PMID 35564054›Full record

ArticleFoods (Basel, Switzerland)2022

Comparison of Real-Time PCR and Droplet Digital PCR for the Quantitative Detection of Lactiplantibacillus plantarum subsp. plantarum

Chang-Hun Choi, Eiseul Kim, Seung-Min Yang, Da-Som Kim, Seung-Man Suh, Ga-Young Lee, Hae-Yeong Kim

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Molecular Detection and Identification of Plant-AssociatedInternational journal of molecular sciences · 2023
    Review
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chang-Hun ChoiResources and Department of Food Science and Biotechnology, Institute of Life Sciences, Kyung Hee University, Yongin 17104, Korea.ORCID 0000-0002-4743-2922
Eiseul KimResources and Department of Food Science and Biotechnology, Institute of Life Sciences, Kyung Hee University, Yongin 17104, Korea.ORCID 0000-0003-0969-4048
Seung-Min YangResources and Department of Food Science and Biotechnology, Institute of Life Sciences, Kyung Hee University, Yongin 17104, Korea.
Da-Som KimResources and Department of Food Science and Biotechnology, Institute of Life Sciences, Kyung Hee University, Yongin 17104, Korea.ORCID 0000-0001-7928-8403
Seung-Man SuhResources and Department of Food Science and Biotechnology, Institute of Life Sciences, Kyung Hee University, Yongin 17104, Korea.
Ga-Young LeeResources and Department of Food Science and Biotechnology, Institute of Life Sciences, Kyung Hee University, Yongin 17104, Korea.ORCID 0000-0003-0597-988X
Hae-Yeong KimResources and Department of Food Science and Biotechnology, Institute of Life Sciences, Kyung Hee University, Yongin 17104, Korea.ORCID 0000-0003-3409-0932

Funding

Rural Development Administration PJ01662001
6 · The paper itself

Abstract

Droplet digital polymerase chain reaction (ddPCR) is one of the newest and most promising tools providing absolute quantification of target DNA molecules. Despite its emerging applications in microorganisms, few studies reported its use for detecting lactic acid bacteria. This study evaluated the applicability of a ddPCR assay targeting molecular genes obtained from in silico analysis for detecting Lactiplantibacillus plantarum subsp. plantarum, a bacterium mainly used as a starter or responsible for fermentation in food. The performance characteristics of a ddPCR were compared to those of a quantitative real-time PCR (qPCR). To compare the linearity and sensitivity of a qPCR and ddPCR, the calibration curve for a qPCR and the regression curve for a ddPCR were obtained using genomic DNA [102−108 colony-forming units (CFU)/mL] extracted from a pure culture and spiked food sample. Both the qPCR and ddPCR assays exhibited good linearity with a high coefficient of determination in the pure culture and spiked food sample (R2 ≥ 0.996). The ddPCR showed a 10-fold lower limit of detection, suggesting that a ddPCR is more sensitive than a qPCR. However, a ddPCR has limitations in the absolute quantitation of high bacterial concentrations (>106 CFU/mL). In conclusion, a ddPCR can be a reliable method for detecting and quantifying lactic acid bacteria in food.

Indexed as

detectiondroplet digital PCRfermented foodLactiplantibacillus plantarumquantificationreal-time PCR

Identifiers

PMID35564054
PMCPMC9105557

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.