Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract"Gas-phase reactions of NO3 and N2O5 with (Z)-hex-4-en-1-ol, (Z)-hex-3-en-1-ol ('leaf alcohol'), (E)-hex-3-en-1-ol, (Z)-hex-2-en-1-ol and (E)-hex-2-en-1-ol"    Next AbstractChemicals involved in honeybee-sunflower relationship »

J Occup Environ Hyg


Title:Chemical permeation of similar disposable nitrile gloves exposed to volatile organic compounds with different polarities Part 2. Predictive polymer properties
Author(s):Phalen RN; Dubrovskiy AV; Brown BC; Gvetadze AR; Bustillos M; Ogbonmwan J;
Address:"Department of Physical and Applied Sciences, University of Houston Clear Lake, Houston, Texas. Department of Chemistry, San Jacinto College, Pasadena, Texas"
Journal Title:J Occup Environ Hyg
Year:2020
Volume:20200224
Issue:4
Page Number:172 - 180
DOI: 10.1080/15459624.2020.1721511
ISSN/ISBN:1545-9632 (Electronic) 1545-9624 (Linking)
Abstract:"A follow-up study evaluated the chemical and physical parameters of 10 disposable nitrile glove products in association with the observed variability in chemical permeation performance. The aim was to determine which polymer properties explained or were predictive of the observed wide variation in breakthrough time and steady state permeation rate. The physical and mechanical properties evaluated were thickness, area density, volume fraction and modulus 50-100%. The chemical composition properties evaluated were relative acrylonitrile content, relative carboxylation content, oily plasticizers, inorganic fillers and organic polymer content. A combination of correlation and multiple regression analyses were performed to evaluate the predictive nature of these parameters. For the regression analyses, stepwise, forward selection and backward elimination methods were used to determine an optimal regression fit. Both thickness and area density were strongly correlated with the breakthrough time. With the addition of volume fraction, these factors accounted for about 88-89% of the variation in breakthrough times. The correlation results for the steady-state permeation rate were largely inconclusive and only a moderate correlation with thickness was observed with one solvent. However, regression analyses revealed a moderate to strong association (R(2) = 0.742; p < 0.001) between the permeation rate and thickness and volume fraction. With the inclusion of volume fraction in all regression models, the microstructure of the polymer played a critical role in chemical permeation, which requires further investigation. Based on these results, selection based on the availability of chemical permeation data for the product should always be preferred, especially when skin protection is critical. When chemical resistance ratings are based on general performance data, additional factors such as thickness and area density should be taken into consideration. In general, increases in thickness and area density are associated with increases in breakthrough time and decreases in the steady-state permeation rate. However, evidence in the literature and this study support the need for inclusion of additional factors associated with the microstructure of the polymer"
Keywords:"*Gloves, Protective Humans *Nitriles Occupational Exposure/*prevention & control Permeability Polymers Volatile Organic Compounds/*adverse effects Breakthrough time chemical protective clothing chemical resistance permeation rate personal protective equip;"
Notes:"MedlinePhalen, Robert N Dubrovskiy, Anton V Brown, Brittany C Gvetadze, Aleksandre R Bustillos, Mariela Ogbonmwan, Jessica eng England 2020/02/25 J Occup Environ Hyg. 2020 Apr; 17(4):172-180. doi: 10.1080/15459624.2020.1721511. Epub 2020 Feb 24"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 24-12-2024