Magnetic susceptibility monitoring and modelling (MSMM): a non-invasive method for acquiring and modelling exceptionally large datasets from column experiments with manufactured nanoparticles

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@article{9180796606c04272931e4cf73d17f389,
title = "Magnetic susceptibility monitoring and modelling (MSMM): a non-invasive method for acquiring and modelling exceptionally large datasets from column experiments with manufactured nanoparticles",
abstract = "Identifying and quantifying the processes governing nanoparticle transport in porous media using breakthrough curves with or without retention profiles from laboratory column experiments is frequently subject to uncertainty due to the limited information content of such datasets. An integrated system of automated, non-invasive magnetic susceptibility monitoring and numerical modelling (MSMM) has been developed to provide exceptionally detailed datasets for assessing the validity of transport models of magnetic nanoparticles within a column. MSMM produces the equivalent of a breakthrough curve for each monitored location along the column and uses the enhanced dataset to constrain numerical models more effectively. The results of 2 example column experiments using magnetite nanoparticles and interpreted with MSMM are presented to demonstrate the approach: (i) using quartz sand (with 46,002 susceptibility measurements over 37 hours) and (ii) using crushed Triassic Sandstone (with 19,654 measurements over 20 hours). The quartz sand 38 experiment showed no nanoparticle retention: MSMM showed the system could be well described by 39 an advection-dispersion model, which predicted a breakthrough curve consistent with that derived from magnetic monitoring and with the breakthrough curve acquired independently using a fluorescein tracer. In contrast, no breakthrough was observed in the sandstone experiment, but even in the absence of a breakthrough curve, MSMM indicated that the retention processes were spatially heterogeneous and consistent with a combination of parameterised models of physical straining and limited capacity irreversible attachment.",
keywords = "nanoparticle, magnetic susceptibility, column experiment, groundwater, mathematical model, MSMM",
author = "Michael Riley and Neil Suttie and Carl Stevenson and John Tellam",
year = "2019",
month = feb,
day = "20",
doi = "10.1016/j.colsurfa.2018.12.003",
language = "English",
volume = "563",
pages = "289--301",
journal = "Colloids and Surfaces A: Physicochemical and Engineering Aspects",
issn = "0927-7757",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Magnetic susceptibility monitoring and modelling (MSMM)

T2 - a non-invasive method for acquiring and modelling exceptionally large datasets from column experiments with manufactured nanoparticles

AU - Riley, Michael

AU - Suttie, Neil

AU - Stevenson, Carl

AU - Tellam, John

PY - 2019/2/20

Y1 - 2019/2/20

N2 - Identifying and quantifying the processes governing nanoparticle transport in porous media using breakthrough curves with or without retention profiles from laboratory column experiments is frequently subject to uncertainty due to the limited information content of such datasets. An integrated system of automated, non-invasive magnetic susceptibility monitoring and numerical modelling (MSMM) has been developed to provide exceptionally detailed datasets for assessing the validity of transport models of magnetic nanoparticles within a column. MSMM produces the equivalent of a breakthrough curve for each monitored location along the column and uses the enhanced dataset to constrain numerical models more effectively. The results of 2 example column experiments using magnetite nanoparticles and interpreted with MSMM are presented to demonstrate the approach: (i) using quartz sand (with 46,002 susceptibility measurements over 37 hours) and (ii) using crushed Triassic Sandstone (with 19,654 measurements over 20 hours). The quartz sand 38 experiment showed no nanoparticle retention: MSMM showed the system could be well described by 39 an advection-dispersion model, which predicted a breakthrough curve consistent with that derived from magnetic monitoring and with the breakthrough curve acquired independently using a fluorescein tracer. In contrast, no breakthrough was observed in the sandstone experiment, but even in the absence of a breakthrough curve, MSMM indicated that the retention processes were spatially heterogeneous and consistent with a combination of parameterised models of physical straining and limited capacity irreversible attachment.

AB - Identifying and quantifying the processes governing nanoparticle transport in porous media using breakthrough curves with or without retention profiles from laboratory column experiments is frequently subject to uncertainty due to the limited information content of such datasets. An integrated system of automated, non-invasive magnetic susceptibility monitoring and numerical modelling (MSMM) has been developed to provide exceptionally detailed datasets for assessing the validity of transport models of magnetic nanoparticles within a column. MSMM produces the equivalent of a breakthrough curve for each monitored location along the column and uses the enhanced dataset to constrain numerical models more effectively. The results of 2 example column experiments using magnetite nanoparticles and interpreted with MSMM are presented to demonstrate the approach: (i) using quartz sand (with 46,002 susceptibility measurements over 37 hours) and (ii) using crushed Triassic Sandstone (with 19,654 measurements over 20 hours). The quartz sand 38 experiment showed no nanoparticle retention: MSMM showed the system could be well described by 39 an advection-dispersion model, which predicted a breakthrough curve consistent with that derived from magnetic monitoring and with the breakthrough curve acquired independently using a fluorescein tracer. In contrast, no breakthrough was observed in the sandstone experiment, but even in the absence of a breakthrough curve, MSMM indicated that the retention processes were spatially heterogeneous and consistent with a combination of parameterised models of physical straining and limited capacity irreversible attachment.

KW - nanoparticle

KW - magnetic susceptibility

KW - column experiment

KW - groundwater

KW - mathematical model

KW - MSMM

UR - http://www.scopus.com/inward/record.url?scp=85058387351&partnerID=8YFLogxK

U2 - 10.1016/j.colsurfa.2018.12.003

DO - 10.1016/j.colsurfa.2018.12.003

M3 - Article

VL - 563

SP - 289

EP - 301

JO - Colloids and Surfaces A: Physicochemical and Engineering Aspects

JF - Colloids and Surfaces A: Physicochemical and Engineering Aspects

SN - 0927-7757

ER -