Rapid removal of glycerol from frozen‐thawed red blood cells
Why this work is in the frame
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Bibliographic record
Abstract
The storage of red blood cells (RBCs) in a refrigerated state allows a shelf life of a few weeks, whereas RBCs frozen in 40% glycerol have a shelf life of 10 years. Despite the clear logistical advantages of frozen blood, it is not widely used in transfusion medicine. One of the main reasons is that existing post-thaw washing methods to remove glycerol are prohibitively time consuming, requiring about an hour to remove glycerol from a single unit of blood. In this study, we have investigated the potential for more rapid removal of glycerol. Using published biophysical data for human RBCs, we mathematically optimized a three-step deglycerolization process, yielding a procedure that was less than 32 s long. This procedure was found to yield 70% hemolysis, a value that was much higher than expected. Consequently, we systematically evaluated three-step deglycerolization procedures, varying the solution composition and equilibration time in each step. Our best results consisted of less than 20% hemolysis for a deglycerolization time of 3 min, and it is expected that even further improvements could be made with a more thorough optimization and more reliable biophysical data. Our results demonstrate the potential for significantly reducing the deglycerolization time compared with existing methods. © 2013 American Institute of Chemical Engineers Biotechnol. Prog., 29:609-620, 2013.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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