Integrated system for high-throughput protein identification using a microfabricated device coupled to capillary electrophoresis / nanoelectrospray mass spectrometry
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.
Bibliographic record
Abstract
An integrated microsystem providing rapid analyses of trace-level tryptic digests for proteomics application is presented. This modular microsystem includes an autosampler and a microfabricated device comprising a sample introduction port and an array of separation channels together with a low dead-volume facilitating the interface to nanoelectrospray mass spectrometry. Sequential injection and separation of peptide standards and tryptic digests was achieved with a throughput of up to 30 samples per hour with less than 3% sample carryover. Replicate injections of peptide mixtures indicated that reproducibility of migration time was typically better than 2.3% relative standard deviation (RSD) whereas RSD values of 3.7-11.8% were observed on peak height. Mass spectral detection of submicromolar protein digests (< 7 femtomoles/injection) was achieved using a quadrupole/time of flight instrument in less than 2 min/per sample with peak widths of 1.8-7.0 s. The analytical potential of this integrated device for the identification of gel isolated proteins from Neisseria meningitidis immunotype L3 has been demonstrated using both peptide mass-fingerprint database searching and on-line tandem mass spectrometry.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it