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International Journal of Zoological Research

Year: 2010 | Volume: 6 | Issue: 4 | Page No.: 286-292
DOI: 10.3923/ijzr.2010.286.292
Evaluating Protein Patterns of Speciality Fibres for Identification to Combat False Labeling
Priyanka P. Rane and S. S. Barve

Abstract: The worldwide increase in demand for speciality (Luxury) fibres for production of high quality textiles makes fibre identification necessary to ascertain blend composition and control false declaration. These fibres are often mixed with wool to give special effects to the fabric. Since, there is limited feedstock and the amount of fibre produced by the animals is less, making the fibres expensive. Due to these reasons adulteration and false declaration is commonly observed causing heavy financial loss. Fibre analysis is usually done by scanning electron microscopy. However, the method has some limitations as it is time consuming, expensive and the reliability of results depended on the expertise of the microscopist. There is a need for fast, reliable and economical method to characterize these fibres and to study composition of each animal fibre in blends. Hence to overcome this problem, we report for the first time the extraction of keratin proteins from speciality fibres by reductive urea along with thiourea (Shindai Method) followed by alkylation and their characterization by Sodium Dodecyl Sulphate-Poly Acrylamide Gel Electrophoresis (SDS-PAGE). Extracted proteins were quantitated by colorimetric method of Bradford. Protein profiles were studied and animals were differentiated on the basis of polypeptide bands. The extracted proteins consisted of polypeptide bands with molecular weight in the range 66-35, 30-10 and 110-97.4 kDa. It was found that inter-species identification was possible, but intra species differentiation was difficult. When blends were studied cumulative results were obtained making differentiation difficult.

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How to cite this article
Priyanka P. Rane and S. S. Barve, 2010. Evaluating Protein Patterns of Speciality Fibres for Identification to Combat False Labeling. International Journal of Zoological Research, 6: 286-292.

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