Literature DB >> 15914236

Passive air sampling theory for semivolatile organic compounds.

Michael E Bartkow1, Kees Booij, Karen E Kennedy, Jochen F Müller, Darryl W Hawker.   

Abstract

The mathematical modelling underlying passive air sampling theory can be based on mass transfer coefficients or rate constants. Generally, these models have not been inter-related. Starting with basic models, the exchange of chemicals between the gaseous phase and the sampler is developed using mass transfer coefficients and rate constants. Importantly, the inter-relationships between the approaches are demonstrated by relating uptake rate constants and loss rate constants to mass transfer coefficients when either sampler-side or air-side resistance is dominating chemical exchange. The influence of sampler area and sampler volume on chemical exchange is discussed in general terms and as they relate to frequently used parameters such as sampling rates and time to equilibrium. Where air-side or sampler-side resistance dominates, an increase in the surface area of the sampler will increase sampling rates. Sampling rates are not related to the sampler/air partition coefficient (K(SV)) when air-side resistance dominates and increase with K(SV) when sampler-side resistance dominates.

Mesh:

Substances:

Year:  2005        PMID: 15914236     DOI: 10.1016/j.chemosphere.2004.12.033

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  13 in total

1.  Field-testing polyethylene passive samplers for the detection of neutral polyfluorinated alkyl substances in air and water.

Authors:  Erik Dixon-Anderson; Rainer Lohmann
Journal:  Environ Toxicol Chem       Date:  2018-11-05       Impact factor: 3.742

2.  Simulating and explaining passive air sampling rates for semivolatile compounds on polyurethane foam passive samplers.

Authors:  Nicholas T Petrich; Scott N Spak; Gregory R Carmichael; Dingfei Hu; Andres Martinez; Keri C Hornbuckle
Journal:  Environ Sci Technol       Date:  2013-07-25       Impact factor: 9.028

3.  Calibration and evaluation of PUF-PAS sampling rates across the Global Atmospheric Passive Sampling (GAPS) network.

Authors:  Nicholas J Herkert; Scott N Spak; Austen Smith; Jasmin K Schuster; Tom Harner; Andres Martinez; Keri C Hornbuckle
Journal:  Environ Sci Process Impacts       Date:  2018-01-24       Impact factor: 4.238

4.  Aerobic Bioaugmentation to Decrease Polychlorinated Biphenyl (PCB) Emissions from Contaminated Sediments to Air.

Authors:  Christian M Bako; Andres Martinez; Jessica M Ewald; Jason B X Hua; David J Ramotowski; Qin Dong; Jerald L Schnoor; Timothy E Mattes
Journal:  Environ Sci Technol       Date:  2022-09-30       Impact factor: 11.357

5.  Assessing indoor air exposures using passive sampling with bioanalytical methods for estrogenicity and aryl hydrocarbon receptor activity.

Authors:  Karen Kennedy; Miroslava Macova; Frederic Leusch; Michael E Bartkow; Darryl W Hawker; Bin Zhao; Michael S Denison; Jochen F Mueller
Journal:  Anal Bioanal Chem       Date:  2009-05-12       Impact factor: 4.142

6.  Effects of room airflow on accurate determination of PUF-PAS sampling rates in the indoor environment.

Authors:  Nicholas J Herkert; Keri C Hornbuckle
Journal:  Environ Sci Process Impacts       Date:  2018-05-23       Impact factor: 4.238

7.  Calculation of passive sampling rates from both native PCBs and depuration compounds in indoor and outdoor environments.

Authors:  Carolyn Persoon; Keri C Hornbuckle
Journal:  Chemosphere       Date:  2008-12-09       Impact factor: 7.086

8.  Inhalation and dietary exposure to PCBs in urban and rural cohorts via congener-specific measurements.

Authors:  Matt D Ampleman; Andrés Martinez; Jeanne DeWall; Dorothea F K Rawn; Keri C Hornbuckle; Peter S Thorne
Journal:  Environ Sci Technol       Date:  2015-01-20       Impact factor: 9.028

9.  A Model Using Local Weather Data to Determine the Effective Sampling Volume for PCB Congeners Collected on Passive Air Samplers.

Authors:  Nicholas J Herkert; Andres Martinez; Keri C Hornbuckle
Journal:  Environ Sci Technol       Date:  2016-03-23       Impact factor: 9.028

10.  Semivolatile organic compounds in homes: strategies for efficient and systematic exposure measurement based on empirical and theoretical factors.

Authors:  Robin E Dodson; David E Camann; Rachel Morello-Frosch; Julia G Brody; Ruthann A Rudel
Journal:  Environ Sci Technol       Date:  2014-12-09       Impact factor: 9.028

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.