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ijs-2385
Extraction and Application of Natural Colourant from the Bark of Berlinia Grandiflora on Cotton and Polyamide 6 Fabrics
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The aim of this study is to extract and utilise the bark of Berlinia grandiflora as a natural dye source for the colouration of cotton and polyamide 6 fabrics. The solvents used for this study were water, methanol, acetone, and methanol/potassium hydroxide. The best of all the solvents used was water. In the extraction process, the various solvents were extracted with Soxhlet extractor.  The optimum colourant extraction was observed at 40 °C for 2 h.  The extracted compound was isolated and characterized by UV spectrophotometry; proton and carbon-13 nuclear magnetic resonance, mass spectrometry, and Fourier transform infrared spectroscopy.  Mordanting and subsequent dyeing of cotton and polyamide 6 fabrics with the extracted colourant were performed to investigate the dye’s efficiency.  Two metal salts, namely copper sulphate and stannous chloride, were used as mordants.  Furthermore, the washing, rubbing, and light fastness properties of dyed samples were tested. The results of the fastness tests showed that the natural dye gave light fastness value (3= fair) without the use of mordants, whereas the values were 5 on cotton and 4 on nylon 6 with the use of mordants. The results of fastness of rubbing and washing were excellent for both cotton and nylon. The outcome of the study presents a potentially useful natural colourant for the colouration of natural and synthetic fibers.

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Publication Date
Wed May 25 2022
Journal Name
Iraqi Journal Of Science
Raman Scattering Enhancement by silver Nanostructures Prepared by Electrical Exploding Wire Technique
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This project aims to fabricate nanostructures (AgNPS) using the  electrical exploding wire (EEW) technique using Rhodamine 6G dye as the probe molecule, investigate the effect of AgNPS on the absorption spectra and surface-enhanced Raman scattering (SERS) activities, and advance  using porous silicon as an active substrate for surface-enhanced Raman scattering (SERS). X-Ray diffraction (XRD) was used to investigate the structural properties of the nanostructures (AgNPs). Field emission scanning electron microscopy (FE-SEM) was used to investigate surface morphology. A double beam UV-Vis Spectrophotometer was used to analyze the mixed R6G laser dye(of concentration 1x  M)  absorption spectra with the nanostructures AgNPS (of concentra

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Publication Date
Fri Apr 15 2016
Journal Name
International Journal Of Computer Applications
Hybrid Techniques based Speech Recognition
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Information processing has an important application which is speech recognition. In this paper, a two hybrid techniques have been presented. The first one is a 3-level hybrid of Stationary Wavelet Transform (S) and Discrete Wavelet Transform (W) and the second one is a 3-level hybrid of Discrete Wavelet Transform (W) and Multi-wavelet Transforms (M). To choose the best 3-level hybrid in each technique, a comparison according to five factors has been implemented and the best results are WWS, WWW, and MWM. Speech recognition is performed on WWS, WWW, and MWM using Euclidean distance (Ecl) and Dynamic Time Warping (DTW). The match performance is (98%) using DTW in MWM, while in the WWS and WWW are (74%) and (78%) respectively, but when using (

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