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Record W2084391382 · doi:10.1021/ac000943e

A Sensitive Small-Volume UV/Vis Flow Cell and Total Absorbance Detection System for Micro-HPLC

2001· article· en· W2084391382 on OpenAlex

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

VenueAnalytical Chemistry · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsYork University
Fundersnot available
KeywordsAbsorbanceChemistrySpectrometerBandwidth (computing)Analytical Chemistry (journal)DetectorCalibration curveSIGNAL (programming language)PhotodiodeDetection limitOpticsChromatographyTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

An optical multichannel absorbance detection system suitable for micro-HPLC is described. The detection system includes a flow cell with detection volume of 30 nL and path length of 12 mm. A fiber optic spectrometer with charge-coupled device array is used to collect spectral information at 1 Hz frequency. Signal-to-noise ratios are enhanced through the use of large bandwidth total absorbance signals, while linearity and spectral resolution are maintained. Theoretical predictions of bandwidth dependent signal-to-noise ratios of the total absorbance signal are compared to experimental observations, showing that optimum total absorbance signal bandwidths occur at 2.8 σ abs for a Gaussian absorption band under light noise limited conditions. This bandwidth is much larger than bandwidths used in most commercial detectors. The detection system is applied to the separation of 2,4-dinitophenylhydrazones of organic carbonyls sampled from tropospheric air samples. For these hydrazones, a bandwidth of 181 nm is used for detection and calibration, which results in more universal hydrazone detection.

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)0.000
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 score0.067
Threshold uncertainty score0.558

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 head0.010
GPT teacher head0.209
Teacher spread0.199 · 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