2013
DOI: 10.1016/j.carbpol.2013.03.080
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Process optimization for bioscouring of cotton and lycra cotton weft knits by Box and Behnken design

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Cited by 19 publications
(9 citation statements)
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“…e significance of the model and model terms should be determined using the P value of the experimental design. A p value less than 0.05 indicates that the model is statistically significant [25]. In this experimental design, the model is statistically significant because the level of p value is 0.0056, as shown in Table 2, which means temperature, enzyme concentration, and treatment time have a significant effect on the biosingeing fabric treatment process.…”
Section: Resultsmentioning
confidence: 90%
“…e significance of the model and model terms should be determined using the P value of the experimental design. A p value less than 0.05 indicates that the model is statistically significant [25]. In this experimental design, the model is statistically significant because the level of p value is 0.0056, as shown in Table 2, which means temperature, enzyme concentration, and treatment time have a significant effect on the biosingeing fabric treatment process.…”
Section: Resultsmentioning
confidence: 90%
“…Cotton bioscouring could be as much effi cient as the conventional alkaline treatment in terms of physicochemical properties such as, wettability, whiteness index, polymerization degree, crystallinity index, color depth, brightness, softness, absorbency, weight loss as well as low-stress mechanical properties [26,27,28].…”
Section: Bioscouringmentioning
confidence: 99%
“…A wetting time of less than 1 s was observed for bioscoured fabrics, while chemically scoured fabrics showed a wetting time of 2.7 s, which proves that bioscoured fabrics are more hydrophilic in nature. Several workers have reported an improvement in water absorbancy of cotton fabrics using wetting agents along with enzyme xylanase (Battan et al 2012;Dhiman et al 2008;Wang et al 2007) and pectinase (Ahlawat et al 2009;Kalantzi et al 2008;Mojsov 2016;Shanthi and Krishnabai 2013;Spicka et al 2015;Vigneswaran et al 2012).…”
Section: Optimization Of Bioscouring Parametersmentioning
confidence: 99%
“…The use of microbial enzymes for textile fiber processing has increased significantly, as they cause less damage to fibers, improve fabric quality, require less energy and use less environment-damaging chemicals. (Chiliveri and Linga 2014;Dhiman et al 2008;Joshi et al 2013;Mojsov 2016;Shanthi and Krishnabai 2013). Bioscouring produces good quality fibers with more softness and better strength.…”
Section: Introductionmentioning
confidence: 99%