Browsing by Subject "Cotton"

Now showing 1 - 2 of 2
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    Open Access
    Forensic examination of textile fibres using Raman imaging and multivariate analysis
    (Elsevier B.V., 2021-12-03) Ortega-Ojeda, Fernando E.; García-Ruiz, Carmen; Zapata Arráez, Félix; Química Analítica; Facultades,Servicios y Escuelas::Facultades de la UMU::Facultad de Química
    Vibrational spectroscopic techniques have shown to be highly suitable for the identification and comparison of textile fibres and clothing fabrics. On the other hand, new chemical imaging modes based on these spectroscopic techniques are becoming useful in multiple fields. This is particularly important to, for instance, chemically visualize and screen different samples including forensic evidence (crime scene investigation), chemical and food products (quality control), biological tissues and living beings (medical imaging), among others. This study explores the forensic examination and selective chemical visualization of textile fibres and clothing fabrics using Raman imaging. Four experiments were performed, which were focused on the screening of (i) white different materials made of 100 % cotton (gauze, cotton wool, t-shirt, and swab), (ii) polyester and cotton fabrics evidence of the same colour, (iii) five different coloured cotton fabrics, and (iv) textile fibres of different materials (acrylic, cotton, nylon, polyester, and silk). Several methods of multivariate chemometric analysis including principal component analysis (PCA), multivariate analysis of variance (MANOVA), and multivariate curve resolution (MCR) were applied to enhance the limited visual comparison of the spectra accomplished with the unaided eye. The results evidenced the suitability of Raman imaging to statistically discriminate textile fibres and fabrics due to the chemical composition of both the clothing material and the dyestuff.
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    Open Access
    Genetic screening of diploid and tetraploid cotton cultivars based on retrotransposon microsatellite amplified polymorphism markers (REMAP)
    (Universidad de Murcia, 2016) Noormohammadi, Zahra; Ibrahim-Khalili, Niloofar; Ghasemzadeh-Baraki, Somayeh; Sheidai, Masoud; Alishah, Omran
    Abstract Continuous artificial selection and cultivation of cultivars has led to genetic erosion and loss of useful genetic loci from the available germplasm. The objective was to evaluate diploid and tetraploid cottons cultivars with REMAP. Low genetic variability within each cultivar was observed, but a high genetic variability occurred within each species (18-68%). AMOVA test revealed 63% of total genetic variability occurred due to among species genetic difference. Unique alleles were detected in the studied species, that can be used for species discrimination. REMAPs could efficiently discriminate the studied diploid from tetraploid species and may be useful for fast screening, as genetic fingerprinting of large cotton germplasm and for planning future hybridization programs.