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首页> 外文期刊>Journal of industrial and engineering chemistry >Mothproofing of wool fabric utilizing ZnO nanoparticles optimized by statistical models
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Mothproofing of wool fabric utilizing ZnO nanoparticles optimized by statistical models

机译：利用统计模型优化的ZnO纳米颗粒对羊毛织物进行防蛀

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摘要

Wool with high strength, elasticity, and resiliency has good dye-ability and comfort however could be digested by keratinolytic enzymes. In this research, wool fabric pre-treated with BTCA and then treated with nano ZnO. The treated fabrics showed mothproofing activity against the larvae of carpet beetle, Anthrenus verbasci, as feeding protein fibers. The role of both BTCA and nano ZnO concentrations on mothproofing properties of the wool fabric were optimized using statistical model of response surface methodology (RSM). Mothproofing was investigated through assessing wool weight loss during feeding by A verbasci. The analysis of variance (ANOVA) was utilized to obtain the optimum models for wool with mothproofing properties. The damages on the wool surface confirmed with scanning electron microscopy and digital camera images. Further transmission and absorbance spectra approved the UV protection properties of the nano ZnO treated wool in both UVA and UVB.
机译：具有高强度，弹性和弹性的羊毛具有良好的染色性和舒适性，但是可以被角蛋白分解酶消化。在这项研究中，羊毛织物先用BTCA预处理，然后再用纳米ZnO处理。处理过的织物作为饲料蛋白纤维，对地毯甲虫Anthrenus verbasci的幼虫具有防蛀活性。使用响应表面方法（RSM）的统计模型优化了BTCA和纳米ZnO浓度对羊毛织物防蛀性能的作用。通过评估A verbasci通过喂食期间羊毛失重来研究防虫防蛀。利用方差分析（ANOVA）获得具有防虫蛀性能的羊毛的最佳模型。扫描电镜和数码相机图像证实了羊毛表面的损伤。进一步的透射和吸收光谱证实了经纳米ZnO处理的羊毛在UVA和UVB中的紫外线防护性能。

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