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Assessing UV Inactivation of Adenovirus 41 Using Integrated Cell Culture Real‐Time qPCR/RT‐qPCR

2017· article· en· W2904565000 on OpenAlexafffund
Ning Ding, Stephen A. Craik, Xiaoli Pang, Bonita E. Lee, Norman F. Neumann

Bibliographic record

VenueWater Environment Research · 2017
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsProvincial Laboratory of Public HealthUniversity of AlbertaAlberta Health Services
FundersAlberta InnovatesU.S. Environmental Protection Agency
KeywordsCytopathic effectReal-time polymerase chain reactionCell cultureVirologyBiologyMolecular biologyReverse transcriptaseMastadenovirusAdenoviridaeVirusChemistryMicrobiologyPolymerase chain reactionRecombinant DNAGeneBiochemistry

Abstract

fetched live from OpenAlex

Enteric adenoviruses are among most UV-resistant viruses in water. Cytopathic effects (CPE)-based cell culture TCID50 assay as a conventional virus assessment approach has major drawbacks for enteric adenovirus since it is selective on cell lines and takes longer time to show CPE. Integrated cell culture real-time quantitative PCR (ICC-qPCR) and reverse transcriptase (RT)-qPCR were applied in this study, in comparison with TCID50, to assess UV inactivation of adenovirus type 41 (Ad41) in water. Adenovirus type 41 was exposed to UV doses of 40, 80, 160, and 320 mJ/cm2 using a collimated beam apparatus. There was no significant difference of inactivation at conducted UV doses between measurements using TCID50 assay and ICC-RT-qPCR. Both assays fitted the Chick-Watson model at 95% confidence level. The inactivation measured by ICC-qPCR did not fit the Chick-Watson model. In summary, ICC-RT-qPCR is the most appropriate alternate to CPE-based assay for assessing UV inactivation of enteric adenoviruses.

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.124
GPT teacher head0.408
Teacher spread0.285 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2017
Admission routes2
Has abstractyes

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