Performance properties of filter-paper used in blood spot collection devices for quantitation of phenylalanine
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: Accurate and precise measurement of dried blood spot (DBS) phenylalanine (Phe) is vital for managing phenylketonuria (PKU). Standard DBS collection devices use grade-226 filter-paper, while the CapitainerB quantitative device utilizes grade-222 filter-paper. Although grade-226 filter-paper performance is well characterized, data on grade-222 filter-paper are sparse. This study aimed to investigate the analytical properties of grade-222 and grade-226 filter-papers. MATERIALS AND METHODS: We compared grade-222 and grade-226 filter-papers for Phe measurement accuracy and imprecision in DBS generated using both filter-papers. Scanning electron microscopy (SEM) and slit lamp imaging were used to assess the physical properties of the filter-papers. RESULTS: Using an aqueous calibrator as reference, grade-222 exhibited a mean bias of -1.1%, the mean bias for grade-226 was -7.3%. Intra-assay imprecision was 2.3% for grade-222, versus 4.2% for grade-226. SEM revealed that fibers in grade-226 filter-paper are bonded by an amorphous material, which is absent in grade-222 filter-paper. Total error analysis indicated grade-222 filter-paper reduced uncertainty of Phe measurement compared to grade-226 filter-paper. CONCLUSIONS: Grade-222 filter-paper was proven to have superior analytical performance for Phe quantification, providing improved differentiation between safe and harmful Phe concentrations and offering more reliable PKU monitoring compared to traditional grade-226 filter-paper.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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