Sex determination of white-tailed-deer (Odocoileus virginianus) from plasma and serum samples by using Raman spectroscopy and PLS-DA method: a forensic perspective
Clicks: 1
ID: 310026
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
1 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #430 of 490 articles by views in Frontiers in surgery
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 490 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
IntroductionSpecies identification and sex determination have significant relevance in wildlife monitoring, conservation, and forensic investigations. This study explores the feasibility of using Raman spectroscopy coupled with Partial Least Squares Discriminant Analysis (PLS-DA) for sex determination of white-tailed deer (Odocoileus virginianus) based on serum and plasma samples.MethodsA total of 720 Raman spectra (360 serum, 360 plasma) were acquired from five male and five female deer. PLS-DA models were developed using full data and four calibration-to-validation splits (1:4, 2:3, 3:2, 4:1). ResultsThe serum-based PLS-DA model achieved predictive accuracies of 79.2% (1:4), 99.1% (2:3), 99.3% (3:2), and 98.6% (4:1), with balanced calibration-to-validation splits (≥2:3) demonstrating excellent robustness and generalizability exceeding 98%. The plasma-based model showed high internal accuracy (∼99.2%) but reduced external accuracy depending on the split: 85.8% (1:4), 82.4% (2:3), 86.1% (3:2), and 57.0% (4:1), reflecting greater variability and susceptibility to overfitting. Spectral comparison revealed consistent Raman bands in both matrices associated with proteins, lipids, and carbohydrates, with subtle but distinct sex-specific intensity differences. Males showed enhanced signals at ∼1,315 and ∼1,445 cm-1 (lipid regions), while females displayed stronger signals at ∼1,220 -1,280 and ∼1,540 -1,630 cm-1 (protein regions). ConclusionThese findings highlight the potential of Raman-PLSDA models —particularly with serum —as a reliable, rapid, and nondestructive method for sex classification in forensic wildlife contexts, especially when morphological features are absent or degraded. This approach may enable field-adaptable identification that enhance species conservation and forensic investigations involving incomplete or decomposed biological remains.
| Reference Key |
imported_1768914862_696f7fae5f74a
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Halámková, Lenka |
| Journal | Frontiers in surgery |
| Year | 2026 |
| DOI |
10.3389/frans.2025.1727520
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.