Sampling trace organic compounds in water: A comparison of a continuous active sampler to continuous passive and discrete sampling methods

Coes, Alissa L.; Paretti, Nicholas V.; Foreman, William T.; Iverson, Jana L.; Alvarez, David A.

doi:10.1016/j.scitotenv.2013.12.082

Cited by 44 publications

(25 citation statements)

References 23 publications

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“…This effectively manages to both capture the effect of and prevent the over- or under-representation of excursions from average concentrations of contaminants over the course of the sampling period (Alvarez et al, 2004; Bopp et al, 2005; Coes et al, 2014; Seethapathy et al, 2009; Vrana et al, 2005). This is particularly attractive in situations where the number of discrete samples required to generate equivalent data would be cost-prohibitive (Kot et al, 2000; Martin et al, 2003; Namieśnik et al, 2005; Stuer-Lauridsen, 2005; Vrana et al, 2005; Woodrow et al, 1986).…”

Section: 0 Theory and Conceptual Modelmentioning

confidence: 99%

“…This is particularly attractive in situations where the number of discrete samples required to generate equivalent data would be cost-prohibitive (Kot et al, 2000; Martin et al, 2003; Namieśnik et al, 2005; Stuer-Lauridsen, 2005; Vrana et al, 2005; Woodrow et al, 1986). Integrative samplers are frequently capable of providing lower detection limits than discrete samplers (Pankow et al, 1984; Woodrow et al, 1986; Coes et al, 2014). Lower detection limits are achieved through the concentration of the analyte mass from a large volume of air or water; this effect increases with the volume of fluid processed.…”

Section: 0 Theory and Conceptual Modelmentioning

confidence: 99%

“…

M_{S} (t) = \bar{C_{W}} R_{S} t

This approach has long been applied to atmospheric sampling (Russell, 1975), and later for environmental waters in both discrete (e.g., Infiltrex) (Tran and Zeng, 1997) and time-integrated sampling systems [e.g., the Continuous Low-Level Aquatic Monitoring (C.L.A.M.) (Coes et al, 2014) and the In Situ Sampler (IS2) (Halden 2011; Halden and Roll, 2015; Roll 2015)].…”

Section: 0 Analyte Uptake and Retentionmentioning

confidence: 99%

“…Steps taken in method development, such as selection of appropriate sorbent phases and limiting the sample volume to prevent breakthrough, can provide retention that is close enough to unity to render residual breakthrough inconsequential. Detection of considerable or unacceptable breakthrough can be accomplished by sequentially sampling the environmental water with sorbent media cartridges in series (Coes et al, 2014; Russell, 1975) or by monitoring the effluent from the sampling cartridge during method development. If the target contaminant is not detected on the second cartridge or on the effluent fluid, the limit of detection (LOD) of the analytical method provides a lower bound for the magnitude of the dimensionless cartridge retention ( F R ), as shown in Eq.…”

Section: 0 Analyte Uptake and Retentionmentioning

confidence: 99%

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Critical review of factors governing data quality of integrative samplers employed in environmental water monitoring

Roll

Halden

2016

Water Research

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Integrative sampling enables the collection of analyte mass from environmental liquids over extended timeframes from hours to months. While the incentives to complement or replace conventional, time-discrete sampling have been widely discussed, the data quality implications of employing alternative, integrative methods have not yet been systematically studied. A critical analysis of contemporary literature reports showed the data quality of integrative samplers, whether active-advection or passive-diffusion, to be governed by uncertainty in both sampling rate and analyte recovery. Derivation of two lumped parameters, representing the coefficient of accumulation (α) of a contaminant from an environmental fluid and the coefficient of subsequent recovery (ρ) of its mass from the sampler, produced a conceptual framework for quantifying error sources in concentration data derived from accumulative samplers. Whereas the precision associated with recovery was found to be fairly consistent across eight passive-diffusion and active-advection devices (averaging 5 – 16% relative standard deviation, RSD), active-advection samplers effectively improve precision in sampling rate (analyte uptake), as determined for two active-advection devices (2 – 7% average RSD) and five passive devices (12 – 42% average RSD). In summary, an approach is presented whereby the data quality implications of integrative sampler design can be compared, which can inform the selection, optimization, and development of sampling systems to complement the state of the art.

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Section: 0 Theory and Conceptual Modelmentioning

confidence: 99%

Section: 0 Theory and Conceptual Modelmentioning

confidence: 99%

“…

M_{S} (t) = \bar{C_{W}} R_{S} t

Section: 0 Analyte Uptake and Retentionmentioning

confidence: 99%

Section: 0 Analyte Uptake and Retentionmentioning

confidence: 99%

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Critical review of factors governing data quality of integrative samplers employed in environmental water monitoring

Roll

Halden

2016

Water Research

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“…Liquid chromatography is the method of choice in the majority of the studies surveyed and gas chromatography in cases dealing with steroid hormones or alkylphenols because of their low solubility in water (Alvarez et al 2013;Vallejo et al 2013;Coes et al 2014). Tandem mass spectrometry is almost always mandatory since the detection of trace amounts of pollutant is required.…”

Section: Extraction and Analytical Techniquesmentioning

confidence: 99%

Passive sampling of pharmaceuticals and personal care products in aquatic environments

Křesinová

Petrů

Lhotský

et al. 2016

European Journal of Environmental Sciences

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Passive sampling is a rapidly developing technology, which is widely used for the monitoring of pollutants in different environments. Passive sampling offers significant advantages over traditional grab sampling. In the present review, the authors summarize the current literature on the methods of passive sampling used in the environmental monitoring of polar or semi-polar compounds in aqueous matrices. Methods of calibrating, design and deployment of samplers are also discussed. A major focus of this review is the use of polar organic compound integrative samplers (POCIS) and their use in sampling and monitoring of pharmaceuticals and personal care products (PCPs) in both equilibrium and non-equilibrium conditions.

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Understanding and managing uncertainty and variability for wastewater monitoring beyond the pandemic: Lessons learned from the United Kingdom National COVID-19 Surveillance Programmes

Wade

Jacomo

Armenise

et al. 2021

Preprint

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quality and interpretation of data for public health decision-making, are varied and complex. While some factors remain poorly understood, we present approaches taken by the UK programmes to manage and mitigate the more tractable sources of uncertainty. This work provides a platform to integrate uncertainty management into WBE activities as part of global One Health initiatives beyond the pandemic.

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Sampling trace organic compounds in water: A comparison of a continuous active sampler to continuous passive and discrete sampling methods

Cited by 44 publications

References 23 publications

Critical review of factors governing data quality of integrative samplers employed in environmental water monitoring

Critical review of factors governing data quality of integrative samplers employed in environmental water monitoring

Passive sampling of pharmaceuticals and personal care products in aquatic environments

Understanding and managing uncertainty and variability for wastewater monitoring beyond the pandemic: Lessons learned from the United Kingdom National COVID-19 Surveillance Programmes

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