Monitoring the solid-state VIS profiles of degrading bloodstains
Bibliographic record
Abstract
Determining the time since deposition (TSD) of bloodstained evidence can be an important process in forensic investigations. Hemoglobin is often targeted as a biomolecule of interest for these purposes due to the known ex vivo oxidative changes to its structure. These time-dependent oxidative processes have previously been probed using UV-VIS spectroscopy following the resuspension of bloodstains. Our study investigated the solid-state VIS spectra of degrading bloodstains without sample pre-treatment, effectively bypassing the need for resuspension. A total of 128 bloodstains from eight biological replicates were created and stored on glass slides in four temperature conditions: -20°C, 4°C, 22°C, and 45°C. Spectra were acquired from 380 -800 nm at five time points spanning 96 hours. The peak area of the methemoglobin (metHb) band displayed the largest time and temperature differences, an interesting contrast to previous literature using the Soret band for TSD. Principal Component Analysis (PCA) demonstrated that storage temperature delineated the data, with the metHb band showing the greatest contributions to PC1. Linear mixed models from the PCA data with time showed clear TSD relationships with temperature, and with minimal inter-donor variability. Overall, this work complements the UV-VIS analysis of bloodstains for TSD estimation, with the importance of nothing clear differences between phases and sample preparation methods.
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.
How this classification was reachedexpand
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 | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".