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Record W6997162248

Ultrafast plasmonic and real-time label-free polymerase chain reaction for point-of-care diagnostics

2021· dissertation· en· W6997162248 on OpenAlexafffund

Bibliographic record

VenueeScholarship@McGill (McGill) · 2021
Typedissertation
Languageen
FieldEngineering
TopicBiosensors and Analytical Detection
Canadian institutionsMcGill University
FundersGenome Canada
KeywordsAmpliconPolymerase chain reactionRecombinase Polymerase AmplificationPlasmonApplications of PCRMolecular diagnosticsLigase chain reactionMultiple displacement amplificationDigital polymerase chain reaction
DOInot available

Abstract

fetched live from OpenAlex

In response to the need of the world's medical community for accurate and immediate identification of infectious diseases, many researchers have focused on adapting the gold-standard molecular diagnostic method, polymerase chain reaction (PCR), to point-of-care (POC) applications.Despite all advances in microfluidic PCR as an alternative to bulky, slow, and powerintensive conventional thermocyclers, a simple-to-operate/fabricate PCR device is still lacking.In this thesis, we introduce a miniature plasmonic PCR thermocycler in which fast DNA amplification is derived from efficient photothermal heating of suspended gold nanorods (AuNRs) inside PCR reaction by a small-scale vertical-cavity surface-emitting laser (VCSEL).Using this method, we demonstrate 30 cycle-assay time of sub-ten-minute for successful Chlamydia Trachomatis DNA amplification in 20 µL total PCR sample volume containing 2.5 nM AuNRs.Furthermore, we report an ultrasensitive real-time amplicon detection strategy which is based on cycle-by-cycle monitoring 260 nm absorption of PCR reaction.This was accomplished by irradiating PCR sample with a UV LED and collecting the transmitted optical power by a photodetector.UV absorption dependency on nucleotides' structural degree of freedom gives rise to distinctive features in the shape of UV amplification curves for PCR results determination (success/fail) and amplicon quantification with a high detection sensitivity of one DNA copy.This is the first demonstration of a compact plasmonic thermocycler combined with a real-time fluorophore-free quantitative amplicon detection system.The small footprint of the proposed PCR device stems from hardware miniaturization while abundant sample volume facilitates highly sensitive detection and fluid-handling required for on-field sample analysis.This simple, portable, and rapid PCR device is the first proof-of-concept demonstration of combining plasmonic DNA amplification and UV detection towards POC molecular diagnostics.More importantly, the realtime detection method is universal and purely optical solely dependent on standard PCR reagent (nucleotides) circumventing the need for the complicated and costly design of target-specific probes.I wish to express my love and gratitude to my parents.My parents

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.212
Teacher spread0.204 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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

Citations0
Published2021
Admission routes2
Has abstractyes

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