The Analysis of Sea Turtle and Bovid Keratin Artefacts Using Drift Spectroscopy and Discriminant Analysis
Bibliographic Data
| ID | 8353487 |
|---|---|
| Authors | Edgard O Espinoza (0000-0003-2844-6840, Ashland (United States), corresponding author), Barry W Baker (0000-0001-7037-5682, Ashland (United States)), C A BERRY, Charlene Berry (Southern Oregon University) |
| Year | 2007 |
| Volume | 49 |
| Issue | 4 |
| Pages | 685-698 |
| Publication date | 2007-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Archaeometry (JOURNAL) |
| Journal identifiers | ISSN: 0003-813X • E-ISSN: 1475-4754 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1475-4754.2007.00328.x |
| OpenAlex | W2109282490 |
| Language | EN |
| Citations received | 4 |
| References cited | 32 |
We investigated the utility of diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) for the analysis and identification of sea turtle (Family Cheloniidae) and bovid (Family Bovidae) keratins, commonly used to manufacture historic artefacts. Spectral libraries are helpful in determining the class of the material (i.e., keratin versus plastics), but do not allow for inferences about the species source of keratin. Mathematical post‐processing of the spectra employing discriminant analysis provided a useful statistical tool to differentiate tortoiseshell from bovid horn keratin. All keratin standards used in this study (n = 35 Bovidae; n = 24 Cheloniidae) were correctly classified with the discriminant analysis. A resulting performance index of 95.7% shows that DRIFTS, combined with discriminant analysis, is a powerful quantitative technique for distinguishing sea turtle and bovid keratins commonly encountered in museum collections and the modern wildlife trade
Biology · Keratin · Linear discriminant analysis · Artificial Intelligence · Computer Science · Cultural Heritage Materials Analysis · Geology · Identification and Quantification in Food · Meat and Animal Product Quality · Paleontology
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,27 |
| Citation span | 2011 - 2024 (14) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |