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Record W2897137422 · doi:10.1002/bmc.4409

Use of high‐pH (basic/alkaline) mobile phases for LC–MS or LC–MS/MS bioanalysis

2018· review· en· W2897137422 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

VenueBiomedical Chromatography · 2018
Typereview
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsNucro Technics
Fundersnot available
KeywordsBioanalysisChemistryChromatographyResolution (logic)Computer science

Abstract

fetched live from OpenAlex

High-pH or basic/alkaline mobile phases are not commonly used in LC-MS or LC-MS/MS bioanalysis because of the deeply rooted concern with column instability and reduced detection sensitivity for basic compounds in high-pH mobile phases owing to charge neutralization. With the advancement of LC column technology and the wide recognition of the "wrong-way-round" phenomena, high-pH mobile phases are more and more used in LC-MS or LC-MS/MS bioanalysis to improve chromatographic peak shape, retention, selectivity, resolution, and detection sensitivity, not only for basic compounds, but also for many other compounds. In this article, the benefits, practical considerations, application examples and cautions for using high-pH mobile phases in LC-MS or LC-MS/MS bioanalysis are reviewed, with a focus on quantification. Furthermore, the future trends in this field are also envisaged. A total of 84 references are cited in this review.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.696
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.007
Bibliometrics0.0010.005
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.053
GPT teacher head0.324
Teacher spread0.271 · 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