Literature DB >> 20614096

Laboratory evaluation of a physiologic sampling pump (PSP).

Ming-I Brandon Lin1, William A Groves, Andris Freivalds, Larry Lee, Eun Gyung Lee, James E Slaven, Martin Harper.   

Abstract

Recently, physiologic sampling pumps (PSPs), which can adjust their sampling rates in proportion to wearers' minute ventilation (V[combining dot above](E)), have been proposed to better estimate exposure to airborne contaminants in the workplace. A laboratory evaluation was conducted to compare the performance of a new PSP with a traditional sampling pump (TSP) in an exposure chamber. Fifteen subjects (aged 19-36 years) performed two replicate sessions of step-tests for correlated and uncorrelated exposure scenarios on four separate days. When exposed to a scenario in which subject V[combining dot above](E) is highly correlated with m-xylene concentration over the sampling period (r = 0.93), the PSP-measured time-weighted average (TWA) concentrations are higher than TSP-measured concentrations (average ratio of PSP to TSP = 1.18). The ratio of PSP- and TSP-measured TWA concentrations for the uncorrelated scenario (r = 0.02) is closer to one, as expected, with an average value of 0.94. The test results of the linear mixed model further indicate that the performance of the PSP is unaffected by the anthropometric and physiological characteristics of the wearer. Potential differences in exposure estimates resulting from the use of the two instruments were examined in light of various schemes which can potentially occur in the field. With the capability of estimating the total volume of air inhaled over the sampling period with improved accuracy, PSPs show promise in reducing the inherent uncertainty in current risk assessment approaches that entail constant-flow (TSP) sampling approaches.

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Year:  2010        PMID: 20614096     DOI: 10.1039/b923986c

Source DB:  PubMed          Journal:  J Environ Monit        ISSN: 1464-0325


  2 in total

1.  Comparison of artificial neural network (ANN) and partial least squares (PLS) regression models for predicting respiratory ventilation: an exploratory study.

Authors:  Ming-I Brandon Lin; William A Groves; Andris Freivalds; Eun Gyung Lee; Martin Harper
Journal:  Eur J Appl Physiol       Date:  2011-08-23       Impact factor: 3.078

2.  Effects of covered solid sorbent tube sample holders on organic vapor measurements.

Authors:  B S Marpoe; W A Groves; E G Lee; J E Slaven; M Harper
Journal:  J Occup Environ Hyg       Date:  2012       Impact factor: 2.155

  2 in total

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