| Titre : |
Raman and ATR-FTIR spectroscopy towards classification of wet blue bovine leather using ratiometric using ratiometric and chemometric analysis |
| Type de document : |
texte imprimé |
| Auteurs : |
Megha Mehta, Auteur ; Rafea Naffa, Auteur ; Catherine Maidment, Auteur ; Geoff Holmes, Auteur ; Mark Waterland, Auteur |
| Année de publication : |
2020 |
| Article en page(s) : |
15 p. |
| Note générale : |
Bibliogr. |
| Langues : |
Anglais (eng) |
| Catégories : |
Analyse multivariée
Cuirs et peaux -- Analyse
Cuirs et peaux -- Défauts
Cuirs et peaux de bovins
Réflexion totale atténuée
Spectroscopie Raman
Wet-blue (tannage)Peau tannée au chrome (le chrome donne une couleur bleue)
|
| Index. décimale : |
675 Technologie du cuir et de la fourrure |
| Résumé : |
There is a substantial loss of value in bovine leather every year due to a leather quality defect known as “looseness”. Data show that 7% of domestic hide production is affected to some degree, with a loss of $35 m in export returns. This investigation is devoted to gaining a better understanding of tight and loose wet blue leather based on vibrational spectroscopy observations of its structural variations caused by physical and chemical changes that also affect the tensile and tear strength. Several regions from the wet blue leather were selected for analysis. Samples of wet blue bovine leather were collected and studied in the sliced form using Raman spectroscopy (using 532 nm excitation laser) and Attenuated Total Reflectance - Fourier Transform InfraRed (ATR-FTIR) spectroscopy. The purpose of this study was to use ATR-FTIR and Raman spectra to classify distal axilla (DA) and official sampling position (OSP) leather samples and then employ univariate or multivariate analysis or both. For univariate analysis, the 1448 cm− 1 (CH2 deformation) band and the 1669 cm− 1 (Amide I) band were used for evaluating the lipid-to-protein ratio from OSP and DA Raman and IR spectra as indicators of leather quality. Curve-fitting by the sums-of-Gaussians method was used to calculate the peak area ratios of 1448 and 1669 cm− 1 band. The ratio values obtained for DA and OSP are 0.57 ± 0.099, 0.73 ± 0.063 for Raman and 0.40 ± 0.06 and 0.50 ± 0.09 for ATR-FTIR. The results provide significant insight into how these regions can be classified. Further, to identify the spectral changes in the secondary structures of collagen, the Amide I region (1600–1700 cm− 1) was investigated and curve-fitted-area ratios were calculated. The 1648:1681 cm− 1 (non-reducing: reducing collagen types) band area ratios were used for Raman and 1632:1650 cm− 1 (triple helix: α-like helix collagen) for IR. The ratios show a significant difference between the two classes. To support this qualitative analysis, logistic regression was performed on the univariate data to classify the samples quantitatively into one of the two groups. Accuracy for Raman data was 90% and for ATR-FTIR data 100%. Both Raman and ATR-FTIR complemented each other very well in differentiating the two groups. As a comparison, and to reconfirm the classification, multivariate analysis was performed using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). The results obtained indicate good classification between the two leather groups based on protein and lipid content. Principal component score 2 (PC2) distinguishes OSP and DA by symmetrically grouping samples at positive and negative extremes. The study demonstrates an excellent model for wider research on vibrational spectroscopy for early and rapid diagnosis of leather quality. |
| Note de contenu : |
- EXPERIMENTAL : Sample preparation - Data acquisition and spectral processing
- RESULTS AND DISCUSSION : Peaks of interest - Univariate analysis - Multivariate analysis
- Table 1 : Raman and infrared spectroscopic band assignments for Wet Blue leather
- Table 2 : Raman band assignments distinguishing loose and tight wet blue leather
- Table 3 : Deconvoluted amide I band assignments for protein secondary structures
- Table 4 : Confusion matrix for Raman univariate analysis
- Table 5 : Confusion matrix for IR univariate analysis
- Table 6 : Confusion matrix for the classification of OSP and DA based on the PCA-LDA model |
| DOI : |
10.1186/s42825-019-0017-5 |
| En ligne : |
https://link.springer.com/content/pdf/10.1186/s42825-019-0017-5.pdf |
| Format de la ressource électronique : |
Pdf |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=37139 |
in JOURNAL OF LEATHER SCIENCE AND ENGINEERING > Vol. 2 (Année 2020) . - 15 p.
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Raman and ATR-FTIR spectroscopy towards classification of wet blue bovine leather using ratiometric using ratiometric and chemometric analysis in JOURNAL OF LEATHER SCIENCE AND ENGINEERING, Vol. 2 (Année 2020)
