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Record W2900510202 · doi:10.1111/jfs.12558

Development of a multiplex real‐time PCR for simultaneous detection of <scp><i>Bacillus cereus</i></scp>, <scp><i>Listeria monocytogenes</i></scp>, and <scp><i>Staphylococcus aureus</i></scp> in food samples

2018· article· en· W2900510202 on OpenAlex
Shuai Wei, Eric Banan‐Mwine Daliri, Ramachandran Chelliah, Byung‐Jae Park, Ji-Su Lim, Myo‐Ah Baek, Yong‐Suk Nam, Kun‐Ho Seo, Yongguo Jin, Deog‐Hwan Oh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Food Safety · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsOptech (Canada)
FundersEarmarked Fund for Modern Agro-industry Technology Research SystemChina Scholarship Council
KeywordsBacillus cereusListeria monocytogenesStaphylococcus aureusCereusMicrobiologyMultiplexGroELTryptic soy brothMultiplex polymerase chain reactionListeriaBacteriaBiologyFood microbiologyFood scienceEscherichia coliPolymerase chain reactionGene

Abstract

fetched live from OpenAlex

Abstract Bacillus cereus , Listeria monocytogenes , and Staphylococcus aureus caused problems in public health and food safety. A multiplex real‐time PCR (qPCR) for simultaneous detection of these three pathogens in different kinds of food was developed. A high specificity (100%) was obtained using 21 target strains and 19 nontarget strains. Standard curves for pure cultures covered seven orders of magnitude (from 10 8 to 10 2 cfu/ml) with high amplification efficiencies ranging from 94.2 to 105.4% with R ‐squares over 0.999. When multiplex qPCR was applied for artificially contaminated cherry tomato, milk, and spam samples, a detection limit of 10 3 cfu/g or ml was obtained for these three bacteria. When low levels (0.4–5.5 cfu/25 g or ml) of bacteria were inoculated in three kinds of food samples and cultured in tryptic soy broth for 24 hr, results obtained from multiplex real‐time and conventional culture methods were not significantly different for all three food matrices based on Mantel–Haenszel chi‐square test. Only for B. cereus in milk, positive portions detected by qPCR were significantly higher than those detected by culture method. Hence, the multiplex qPCR developed in this study is highly specific and effective for simultaneous detection B. cereus , L. monocytogenes , and S. aureus in food samples. Practical applications Bacillus cereus , Listeria monocytogenes , and Staphylococcus aureus are three major foodborne pathogens and have been found in a wide range of foods. We developed a multiplex qPCR specific targeting groEL , iap , and nuc genes with a high amplification efficiency. Different food samples (cherry tomato, milk, and spam) were tested for evaluating the performance of the multiplex qPCR. The detection results by qPCR were compared with the conventional culture methods and no significant differences were found using Mantel–Haenszel chi‐square test. This study provides the information of the developed multiplex qPCR for detecting three specific foodborne pathogens and applications in food samples, which will be helpful for further studies about simultaneous detection of several targets in food samples using multiplex PCR.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.250
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it