Statistical model of pesticide penetration through woven work clothing fabrics.
Statistical models estimating the level of protection and thermal comfort performance of woven fabrics were developed using simple fabric and liquid parameters. Eighteen woven fabrics were evaluated against three pesticide mixtures of atrazine and pendimethalin at different concentrations. Using three mixtures that represent a range of both surface tension and viscosity, percentages of pesticide penetration are measured, along with fabric thickness, fabric cover factor, yarn twist factor, yarn packing factor, solid volume fraction, wicking height, and air permeability. Statistical analyses are performed to examine the relationship between liquid/fabric parameters and pesticide penetration. Statistical analyses show that fabric cover factor, yarn twist factor, viscosity of pesticide mixture, critical surface tension of solid, and wicking height are significant parameters affecting pesticide penetration. For this purpose, cover factor and twist factor are better parameters in describing the geometry of woven fabrics than solid volume fraction. Modeling of comfort performance of woven fabric based on simple textile parameters shows that the combination of fabric thickness, cover factor, yarn twist factor and yarn packing factor can be used to estimate air permeability of woven fabric. These findings could be used for developing selection charts or tools as guidelines for the selection of personal protective equipment for use in hot, humid environments.
Lee
Seungsin
S
Department of Textiles and Apparel, Cornell University, Ithaca, New York 14853, USA.
Obendorf
S Kay
SK
D008422:Materials Testing; D015233:Models, Statistical; D010575:Pesticides / Q000737:chemistry*; D011481:Protective Clothing / Q000592:standards* / Q000706:statistics & numerical data; D013784:Textiles / Q000592:standards* / Q000706:statistics & numerical data
D010575:Pesticides