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Record W7117304276 · doi:10.1016/j.scijus.2025.101378

Encapsulation of degraded DNA in alginate hydrogels: Rheological characterization and applicability to forensic science

2025· article· en· W7117304276 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueScience & Justice · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicForensic and Genetic Research
Canadian institutionsOntario Tech University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDNARheologyOligonucleotidePolymerDNA sequencinggenomic DNABiomaterial

Abstract

fetched live from OpenAlex

• Encapsulation of DNA into forensic biomaterials to enhance mimetic properties. • Conformation and size of DNA oligos influenced rheological properties. • DNA disrupts ionic crosslinking between alginate and calcium cations. • Time since deposition study performed to generate realistic degraded DNA. • Trends observed between degradation of genomic DNA and rheological parameters. Forensic biomaterials are on the rise, with efforts focused on developing realistic tissue and blood mimetics. The incorporation of small and degraded DNA into these materials enhances their realism and functionality, which has implications for research and training across forensic science. It is therefore important to understand the physicochemical and conformational changes that DNA undergoes during ex vivo degradation. Large fragments of highly concentrated genomic and phage DNA in solution have been characterized using rheology; however, this amount and size of DNA are atypical in DNA extracted from forensic evidence. In this work, we investigated how the addition of synthetic DNA oligos and genomic DNA extracted from bloodstains deposited for up to 19 months influenced the rheological properties of polymer systems intended for forensic biomaterial synthesis. We used FTIR spectroscopy to probe interactions between DNA and the encapsulating matrix and automated gel electrophoresis to record DNA quality/quantity metrics, both of which supported our rheological findings. Encapsulating DNA within an alginate-based, ionically crosslinked hydrogel produced the greatest differentiation in rheological profiles among DNA with varying physical properties. The distinct conformations and sizes of encapsulated DNA oligos exhibited significantly different responses during strain amplitude sweeps (p < 0.05). We also observed moderate correlations between the rheological responses of DNA extracts and the time since deposition of corresponding bloodstains ( r = −0.57 to r = 0.62). This indicates that dilute, polydisperse and degraded genomic DNA extracts can modulate the rheological properties of the encapsulating hydrogel, highlighting the need to consider the type of DNA included in forensic biomaterials. Our results demonstrate the potential for rheology to serve as a complementary technique when analyzing encapsulated dilute DNA oligos and degraded DNA.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.311
Teacher spread0.299 · 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