TY - JOUR
T1 - Critical review of factors governing data quality of integrative samplers employed in environmental water monitoring
AU - Roll, Isaac B.
AU - Halden, Rolf
N1 - Funding Information:
Support for this work was provided in part by National Institute for Environmental Health Science (NIEHS) awards R01ES015445 and R01ES020889 , United States Department of Defense Environmental Security Technology Certification Program (ESTCP) project ER-201122 , and the Virginia G. Piper Charitable Trust award LTR 05-01-12 .
Publisher Copyright:
© 2016 Elsevier Ltd.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - 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.
AB - 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.
KW - Environmental characterization
KW - In situ extraction
KW - Integrative sampling
KW - Passive sampling
KW - Solid phase extraction
KW - Water sampling
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U2 - 10.1016/j.watres.2016.02.048
DO - 10.1016/j.watres.2016.02.048
M3 - Review article
C2 - 26945963
AN - SCOPUS:84959321782
SN - 0043-1354
VL - 94
SP - 200
EP - 207
JO - Water Research
JF - Water Research
ER -