Passive air sampling of semi-volatile organic compounds

Tuduri, Ludovic; Millet, Maurice; Briand, Olivier; Montury, Michel

doi:10.1016/j.trac.2011.08.007

Cited by 74 publications

(48 citation statements)

References 70 publications

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“…The use of depuration compounds has also been proposed as a method to estimate PSRs from PAS data (in the absence of AAS), based on the loss of the spiked compound over the deployment period. 9,19,20 This approach is predicated on the assumption that uptake of target analytes and loss of the depuration compounds are subject to the same transport resistances, where typically it is assumed that transport across the air-side boundary layer is rate limiting. As discussed previously, transport through the porous medium on the samplerside is an important consideration and hence these assumptions may not be valid.…”

Section: Empirical Sampling Rate Derivationmentioning

confidence: 99%

Evaluating the PAS-SIM model using a passive air sampler calibration study for pesticides

Restrepo

Hayward

Armitage

et al. 2015

Environ. Sci.: Processes Impacts

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The main objective of this study was to evaluate the performance of a model for simulating the uptake of various pesticides on passive air samplers (PAS). From 2006-2007 a series of PAS using XAD-resin were deployed at Egbert, a rural agricultural site in southern Ontario, Canada, to measure the uptake of pesticides for time periods ranging from two months to one year. A continuous increase in sequestered amounts was observed for most pesticides, except for trifluralin and pendimethalin, which could conceivably be subject to substantial degradation inside the sampler. Continuous low-volume active air samples taken during the same period, along with data on weather conditions, allowed for the simulation of the uptake of the pesticides using the model (PAS-SIM). The modelled accumulation of pesticides on the PAS over the deployment period was in good agreement with the experimental data in most cases (i.e., within a factor of two) providing insight into the uptake kinetics of this type of sampler in the field. Passive sampling rates (PSR, m(3) d(-1)) were determined from the empirical data generated for this study using three different methods and compared with the PSRs generated by the model. Overall, the PAS-SIM model, which is capable of accounting for the influence of temperature and wind variations on PSRs, provided reasonable results that range between the three empirical approaches employed and well-established literature values. Further evaluation and application of the PAS-SIM model to explore the potential spatial and temporal variability in PAS uptake kinetics is warranted, particularly for established monitoring sites where detailed meteorological data are more likely to be available.

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Section: Empirical Sampling Rate Derivationmentioning

confidence: 99%

Evaluating the PAS-SIM model using a passive air sampler calibration study for pesticides

Restrepo

Hayward

Armitage

et al. 2015

Environ. Sci.: Processes Impacts

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“…There are a number of passive samplers that have been reported based on this principle [120,121]. In many cases, selective permeation through membranes is used to not only slow down mass transfer, but also to introduce selectivity and eliminate matrix effects.…”

Section: Passive Time-weighted Average (Twa) Samplingmentioning

confidence: 99%

Extraction for Analytical Scale Sample Preparation (IUPAC Technical Report)

2016

Chemistry International

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Vous avez des questions? Nous pouvons vous aider. Pour communiquer directement avec un auteur, consultez la première page de la revue dans laquelle son article a été publié afin de trouver ses coordonnées. Si vous n'arrivez pas à les repérer, communiquez avec nous à PublicationsArchive-ArchivesPublications@nrc-cnrc.gc.ca. Questions? Contact the NRC Publications Archive team atPublicationsArchive-ArchivesPublications@nrc-cnrc.gc.ca. If you wish to email the authors directly, please see the first page of the publication for their contact information. NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. For the publisher's version, please access the DOI link below./ Pour consulter la version de l'éditeur, utilisez le lien DOI ci-dessous. NRC Publications Record / Notice d'Archives des publications de CNRC:http://nparc.cisti-icist.nrc-cnrc.gc.ca/eng/view/object/?id=62582e82-c03f-4788-910b-85e44bea078f http://nparc.cisti-icist.nrc-cnrc.gc.ca/fra/voir/objet/?id=62582e82-c03f-4788-910b-85e44bea078fPure Appl. Chem. 2016; 88 (7) Abstract: Approaches for sample preparation are developing rapidly as new strategies are implemented to improve sample throughput and to minimize material and solvent use in laboratory methods and to develop on-site capabilities. In majority of cases the key step in sample preparation is extraction, typically used to separate and enrich compounds of interests from the matrix in the extraction phase. In this contribution, the topic of analytical scale extraction is put in perspective emphasising the fundamental aspects of the underlying processes discussing the similarities and differences between different approaches. Classification of extraction techniques according to the mass transfer principles is provided.

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“…The theory, principles and performance of passive sampling have been widely described (Bartkow et al, 2005;Kot-Wasik et al, 2007;Ouyang & Pawliszyn, 2007;Seethapathy et al, 2008;Ras et al, 2009;Tuduri et al, 2012). In general, the passive sampling method is based on the natural tendency of gases to migrate from areas of higher concentration to areas of lower concentration (the phenomenon of diffusion), which is described by Fick's first law (Harper, 2000;Barro et al, 2009;Rubio & Pérez-Bendito, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…There is also the theory that passive samplers can simulate the behaviour of a bio-accumulating organism. According to that theory, the capture of environmental pollutants occurs in proportion to its concentration and exposure time (Tuduri et al, 2012;Sánchez et al, 2014). Organic compounds in passive sampling are collected on filters and sorbents with the use of appropriate samplers.…”

Section: Introductionmentioning

confidence: 99%

“…Organic compounds in passive sampling are collected on filters and sorbents with the use of appropriate samplers. Different samplers and sorbents for passive sampling are available, among them Radiello samplers (FSM, Padova, Italy), Orsa5, OMV samplers, Analyst, Perkin-Elmer (Waltham, MA, USA) and home-made samplers (Kot-Wasik et al, 2007;Seethapathy et al, 2008;Zabiega la et al, 2010b;Tuduri et al, 2012). Generally, the same sorbents can be applied to both active and passive sampling (Dettmer & Engewald, 2002).…”

Section: Introductionmentioning

confidence: 99%

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Passive sampling application to control air quality in interior of new vehicles

et al. 2015

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The investigation of air pollution is a highly important field of research. Air quality in a vehicle's interior has attracted growing attention since people spend much of their time in vehicles and those frequently travelling in new cars are exposed to harmful compounds. The main air pollutants inside new vehicles are volatile organic compounds (VOCs), present as a result of interior materials' de-gassing. Among the sampling methods used in indoor air quality research, active sampling for VOCs collection is one method that has been extensively described and applied. The present study sought to implement passive sampling with Radiello samplers to collect air samples directly in the car factory. The results from passive sampling were compared with results derived from active sampling using Carbograph 1TD and silicagel coated with 2,4-dinitrophenylhydrazine cartridges, based on previously validated methods. The identification and quantification of organic compounds was performed using gas chromatography with flame ionisation coupled with a mass spectrometer after thermal desorption. Aldehydes were determined by means of high-performance liquid chromatography. In the present study, the results obtained with the use of active and passive methods of air sampling were compared, correlations between the two sampling methods were designated and the repeatability of passive sampling was detailed.

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Passive air sampling of semi-volatile organic compounds

Cited by 74 publications

References 70 publications

Evaluating the PAS-SIM model using a passive air sampler calibration study for pesticides

Evaluating the PAS-SIM model using a passive air sampler calibration study for pesticides

Extraction for Analytical Scale Sample Preparation (IUPAC Technical Report)

Passive sampling application to control air quality in interior of new vehicles

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