STP1386

    Simulate Field Spraying Conditions and its use in Comparing the Barrier Resistance of Fabrics to Liquid Sprays of Atrazine in Capillary and Pressure Penetration Tests

    Published: Jan 2000


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    Abstract

    A laboratory liquid spray apparatus (Figure 1) [1] designed to simulate agriculture field spraying conditions was validated for an agriculture Delavan™ 1.5GPMFanSpray40 flat fan spray pattern nozzle and for the conditions in the study. The barrier resistance of four nonwoven fabrics to water and to an atrazine-water solution (2.5% Atrazine 4L®, v/v) was determined with no externally applied weight (capillary) and with an externally applied weight of 13.8 kPa for 1 min (pressure) to contaminated fabric to simulate “elbow lean”[2]. The barrier resistance to water was used to predict the barrier resistance to the atrazine-water solution. The predicted and measured atrazine values were compared and determined to be 30% and 28% for the no weight and for the externally applied weight, respectively. For the measured atrazine through the nonwoven barrier fabrics, only the fabric type was determined to be statistically significant (p = 0.05). The application of the external weight to the contaminated fabric, the interaction of the weight with the fabric type, the fabric sample position in the laboratory spray apparatus, and the replication of the study were not significant (p = 0.05). The coated spunbond (CS), flashspun (F), and microporous spunbond (MS) nonwoven barrier fabrics provided statistically (p = 0.05) similar barrier resistance to each other which was more than that provided by the spunbond-meltblown-spunbond (SMS) nonwoven fabric.

    Keywords:

    atrazine, agriculture, personal protective equipment (PPE), protective apparel, protective clothing, protective fabric


    Author Information:

    Dever, M
    Research associate professor, Textile Science, University of Tennessee at Knoxville (UTK), Knoxville, TN

    Mueller, TC
    Associate professor, University of Tennessee, Knoxville, TN

    Schneider, JF
    Data analyst, Computer and Statistical Services, University of Tennessee, Knoxville, TN

    Womac, AR
    Associate professor, Agriculture & Biosystems Engineering, University of Tennessee, Knoxville, TN


    Paper ID: STP14434S

    Committee/Subcommittee: F23.93

    DOI: 10.1520/STP14434S


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