MétaCan
Menu
Back to cohort
Record W2024640621 · doi:10.1021/jf0721242

Flexible Microarray Construction and Fast DNA Hybridization Conducted on a Microfluidic Chip for Greenhouse Plant Fungal Pathogen Detection

2007· article· en· W2024640621 on OpenAlexaff
Lin Wang, Paul C. H. Li

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2007
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBotrytis cinereaOligonucleotideMicrofluidicsDNA microarrayBiologyHybridization probeChipBotrytisDNADNA–DNA hybridizationMolecular biologyHorticultureMaterials scienceNanotechnologyGeneticsGeneComputer scienceGene expression

Abstract

fetched live from OpenAlex

This study employed a microfluidic method in which probe creation does not require pin-spotting and fast hybridization is conducted on the same microarray chip for the detection of three greenhouse pathogens ( Botrytis cinerea, Didymella bryoniae, and Botrytis squamosa). In this method, 16 oligonucleotide probe line arrays were created on a glass substrate by a microfluidic printing method. Then, low amounts of the DNA samples (1 fmol of oligonucelotides or 1.4 ng of PCR products) were introduced into the microchannels that were orthogonal to these probe lines. The hybridizations of 16 samples (21-mer complementary oligonuleotides and approximately 260 bp PCR products) were fulfilled at the channel-probe line intersections and in a short time (minutes). The optimization of probe immobilization and sample hybridization are described in detail. The method successfully detected and discriminated between two 260 bp PCR products with a one-base-pair difference from closely related greenhouse plant fungal pathogens (B. cinerea and B. squamosa).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.006
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.175
Teacher spread0.169 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations54
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Agricultural and Food ChemistrySame topicMicrofluidic and Capillary Electrophoresis ApplicationsFrench-language works237,207