Kyle D Duncan1,2, Jeffrey A Hawkes1, Mykelti Berg3, Bas Clarijs1, Chris G Gill3,4,5, Jonas Bergquist1, Ingela Lanekoff1, Erik T Krogh3,4. 1. Analytical Chemistry, Department of Chemistry - BMC, Uppsala University, Husargatan 3, 751 24 Uppsala, Sweden. 2. Department of Chemistry, Vancouver Island University, 900 Fifth Street, Nanaimo, British Columbia, Canada V9R 5S5. 3. Applied Environmental Research Laboratories, Department of Chemistry, Vancouver Island University, 900 Fifth Street, Nanaimo, British Columbia, Canada V9R 5S5. 4. Department of Chemistry, University of Victoria, P.O. Box 1700, Stn CSC, Victoria, British Columbia, Canada V8W 2Y2. 5. Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.
Abstract
Oil sands process waters can release toxic naphthenic acids (NAs) into aquatic environments. Analytical techniques for NAs are challenged by sample complexity and interference from naturally occurring dissolved organic matter (DOM). Herein, we report the use of a poly(dimethylsiloxane) (PDMS) polymer membrane for the on-line separation of NAs from DOM and use direct infusion electrospray ionization mass spectrometry to yield meaningful qualitative and quantitative information with minimal sample cleanup. We compare the composition of membrane-permeable species from natural waters fortified with a commercial NA mixture to those derived from weak anion exchange solid-phase extraction (SPE) using high-resolution mass spectrometry. The results show that SPE retains a wide range of carboxylic acids, including biogenic DOM, while permeation through PDMS was selective for petrogenic classically defined NAs (CnH2n+zO2). A series of model compounds (log Kow ∼1-7) were used to characterize the perm-selectivity and reveal the separation is based on hydrophobicity. This convenient sample cleanup method is selective for the O2 class of NAs and can be used prior to conventional analysis or as an on-line analytical strategy when coupled directly to mass spectrometry.
Oil sands process waters can release toxic naphthenic acids (NAs) into aquatic environments. Analytical techniques for NAs are challenged by sample complexity and interference from naturally occurring dissolved organic matter (DOM). Herein, we report the use of a poly(dimethylsiloxane) (PDMS) polymer membrane for the on-line separation of NAs from DOM and use direct infusion electrospray ionization mass spectrometry to yield meaningful qualitative and quantitative information with minimal sample cleanup. We compare the composition of membrane-permeable species from natural waters fortified with a commercial NA mixture to those derived from weak anion exchange solid-phase extraction (SPE) using high-resolution mass spectrometry. The results show that SPE retains a wide range of carboxylic acids, including biogenic DOM, while permeation through PDMS was selective for petrogenic classically defined NAs (CnH2n+zO2). A series of model compounds (log Kow ∼1-7) were used to characterize the perm-selectivity and reveal the separation is based on hydrophobicity. This convenient sample cleanup method is selective for the O2 class of NAs and can be used prior to conventional analysis or as an on-line analytical strategy when coupled directly to mass spectrometry.
The
extraction of hydrocarbons from Canada’s oil sands deposits
results in the production of enormous quantities of oil sands process-affected
water (OSPW), which have been observed to exhibit both acute and chronic
toxicity to a variety of organisms.[1−3] Under the current “no
release” policy, OSPW is stored on-site in large settling ponds
covering in excess of 176 sq km.[4] Consequently,
there is a great deal of interest in developing viable treatment options
and establishing extensive environmental monitoring campaigns. OSPWs
are extraordinarily complex mixtures containing a variety of hydrocarbons,
salts, suspended solids, residual bitumen, as well as water-soluble
naphthenic acids (NAs).[5,6] NAs were originally isolated from
the acid extractable fraction of OSPW and described as a complex mixture
of C10–C30 organic carboxylic acids represented
by CH2O2, where z is a negative
integer representing the hydrogen deficiency. While the description
of naphthenic acid fraction compounds has been broadened to include
a wider range of functional groups and heteroatoms,[6] much of the toxicity has been associated with the classical
“O2 class” of NAs.[7−10] In particular, the monocarboxylated
NAs above 17 carbons have been observed to have the highest toxicological
potency.[3] Nonetheless, there are thousands
of individual NAs compounds over the mass range of 200–600
as observed by negative ion electrospray ionization mass spectrometry
(ESI-MS).[11]Monitoring NAs is important
in assessing toxic pollution from OSPWs
in the environment, as well as the design, optimization, and operation
of engineered treatment and remediation strategies. However, the complexity
of this analyte class and the structural similarity with naturally
occurring dissolved organic matter (DOM) contribute significant analytical
challenges for the determination of NAs in real environmental and
biological samples. A great deal of research has elaborated on the
structural diversity and complexity of NA fractions, which is summarized
in several recent reviews.[5,12] State-of-the-art methods
for NA analysis rely on sample cleanup, high capacity chromatographic
separation, and/or high-resolution mass spectrometry.[13−17] Such methods are sensitive and can provide discrete molecular information
for thousands of chemical constituents in NA mixtures. Quantitative
information is also possible when appropriate analytical standards
are available or the target structure is known. However, traditional
chromatographic methods are labor-intensive, time-consuming, and costly,
limiting their utility in applications such as process monitoring,
where rapidly screening a large number of samples and/or conditions
is advantageous.[15,18,19] Direct analysis methods that obviate chromatographic separation
can be prone to positive bias, particularly from naturally occurring
DOM.[20−22] It is therefore highly desirable to develop direct
sampling analytical methods that exclude DOM and enable high throughput
screening and simple “on-line” workflows.At the
molecular level, biogenic DOM is structurally similar to
petrogenically derived NAs, as both compound classes contain carboxylic
acid functional groups, alicyclic and aromatic rings, unsaturations,
and heteroatoms. In fact, the distinction between DOM and NA is somewhat
blurred because the definitions of these compound classes are largely
operational and not based on discrete structural features. Further,
both exist as complex mixtures with numerous isomeric structures.
Given the ubiquity of DOM in environmental samples, often present
at concentrations between 10 and 50 ppm C in inland waters,[23] distinguishing between NAs and background DOM
can be analytically challenging. This is particularly true for direct
analysis methods that aim to minimize sample cleanup and chromatographic
steps. Fortunately, it has been established that DOM has a wide but
limited range of hydrophobic character (log Kow 0–3.5),[24] whereas
classical NAs are significantly more hydrophobic (log Kow 4–8).[24,25] Therefore,
classical NAs can be separated from DOM by harnessing their differential
hydrophobicity and partitioning behaviors, as is done with reversed-phase
chromatographic methods.Condensed phase membrane introduction
mass spectrometry (CP-MIMS)
has been demonstrated as an analytical method capable of rapidly screening
NAs directly in water samples, with very little or no sample preparation.[19,26−29] In CP-MIMS, a capillary hollow fiber poly(dimethylsiloxane) (PDMS)
polymer membrane is mounted on an immersion probe and connected to
a flowing acceptor phase solvent. After sample acidification, protonated
NAs partition into and diffuse through the PDMS into the acceptor
solvent for subsequent, direct infusion and ionization in an atmospheric
pressure ion source of a mass spectrometer. Suspended and ionized
components (e.g., salts) do not partition into the membrane, providing
an on-line sample cleanup. The technique has been employed to screen
samples providing quantitative information and follow dynamic processes
in the sample solution phase over time.[19,26,29−32] While CP-MIMS has been demonstrated for the on-line
analysis of trace hydrophobic analytes, there has not been a systematic
evaluation to parameterize the perm-selectivity of membrane transport
and the use of membrane sampling to effectively separate biogenic
DOM from petrogenic naphthenic acids.Herein, we examine the
permeation of model NA compounds using CP-MIMS
coupled to a triple quadrupole MS. Off-line experiments using high-resolution
MS are employed to assess the molecular composition of natural waters
containing both NAs and DOM, comparing PDMS membrane extracts with
those from weak anion-exchange solid-phase extraction (SPE). Isocratic
high-performance liquid chromatography was used to estimate log Kow values and examine NA isomer class enrichment
introduced by PDMS membrane sampling. This work aims to demonstrate
a convenient and robust method for excluding DOM background and broaden
NA analysis to include a wider range of MS instrumentation available
in most industrial and academic labs.
Experimental Section
Materials,
Reagents, and Complex Samples
All glassware
used for DOM experiments was heated at 450 °C before use, and
all solvents were ultrapure grade (>99.9%). Natural river water
samples
were collected from Alberta, Canada, and Uppsala, Sweden. The Canadian
sample is a composite from the Athabasca River, collected in the oil
sands deposit region between Fort McMurray and Fort MacKay (June 2012).
The DOC concentration of this sample was measured at 19.8 ppm C prior
to the experiments described here (February 2018) as nonpurgeable
organic carbon using a TOC analyzer (Shimadzu TOC-L, Duisberg, Germany).
The Fyrisån river sample was collected in Uppsala, Sweden, (February
2018) and typically contains 15–20 ppm DOC (not measured on
this occasion). Both samples were filtered through a precombusted
glass fiber filter (GF/F, 0.7 μm) and stored at 4 °C until
the analysis. Stock solutions of a commercial refined mixture of naphthenic
acids (Merichem Company, Houston, TX), Nordic Reservoir NOM and Suwannee
River NOM (International Humic Substances Society, St. Paul, MN) were
prepared gravimetrically in methanol (HPLC grade, Fisher Scientific,
Ottawa, Canada). Aqueous standards were subsequently prepared in 18
MΩ-cm water (Milli-Q, Millipore, Etobicoke, Canada).Four
preparations of complex samples were considered in this study. (1)
Naphthenic acids in deionized water (1 ppm Merichem), (2) Fyrisån
river water (Sweden), (3) Athabasca River water (Canada), and (4)
Athabasca River water with 1 ppm NAs (Merichem). These four samples
were extracted by SPE and PDMS membrane as discussed below. Additionally,
the NA mixture (Merichem) and the suite of model carboxylic acids
was prepared in 50% acetonitrile with 20 ppb lauric acid-d2 for analysis without extraction, to provide formula
lists for peak assignment.
Preparation of Model Compounds Solutions
Model carboxylic
acids with a range of octanol/water partitioning coefficients were
purchased at purity >97% from Sigma-Aldrich (Oakville, Canada)
and
listed in Table S1. Individual stock solutions
were prepared gravimetrically in HPLC grade methanol at ∼100
ppm. An ultrasonic bath (FS140, Fisher Scientific) was utilized to
aid in the dissolution of the less soluble compounds with higher Kow values. Stock solutions were subsequently
diluted in methanol for direct infusion MS experiments or deionized
water for CP-MIMS experiments. All aqueous solutions used in CP-MIMS
experiments contained ≤0.1% methanol cosolvent. One drop of
6 M HCl was added to 40 mL of aqueous solutions immediately before
making CP-MIMS measurements to adjust the pH to ∼3, converting
carboxylates to their protonated (neutral) form for membrane sampling.
CP-MIMS Triple Quadrupole Experiments for Investigating the
Permeation of Model Compounds
Experiments were conducted
with an in-house constructed immersion “J-probe” with
a 2 cm length of PDMS capillary hollow fiber membrane (Silastic tubing,
Dow Corning, Midland; OD = 0.64 mm; ID = 0.30 mm; 170 μm thickness)
mounted on 22 gauge stainless steel hypodermic tubing.[26,30] A mobile methanol acceptor phase containing 5 ppb of a lauric acid-d2 internal standard passed through the membrane
lumen at 75 μL/min using a syringe pump (Harvard Apparatus Pump
11 Elite, St. Laurent, Canada) and was continuously infused to the
electrospray ionization mass spectrometer. Aqueous samples were analyzed
by immersing the probe into a 40 mL sample vial fitted with a septum
cap cut to hold the J-probe assembly,[26] mixed at 1000 rpm using a magnetic stir bar and plate. Each model
compound was measured in triplicate at four concentrations. Direct
injection of a single high concentration standard was performed in
triplicate at the end of each run to account for changes in day-to-day
instrument sensitivity.Samples were analyzed by an electrospray
ionization triple quadrupole mass spectrometer (Micromass Quattro
Ultima LC, Waters Micromass, Altrincham, U.K.). Negative ion ESI was
used with a capillary voltage of −3.2 kV and entrance cone
voltage of 30 V. A dwell time of 0.25 s was used for each m/z monitored. A desolvation gas of ultrahigh-purity
nitrogen (Praxair, Nanaimo, Canada) was operated at 750 L/h and maintained
at a temperature of 225 °C. Multiple reaction monitoring (MRM)
was used to detect model compounds (Table S2). Compounds with no observable product ions were measured at low
collision energy (2 eV), with the precursor m/z selected for detection. Data was processed using the instrument
operating software (MassLynx Ver 4.1, Waters Micromass). All experiments
were performed under ambient temperature and pressure conditions (∼20
°C, ∼101 kPa).Direct infusion QqQ-MS analysis was
carried out to establish the
linear dynamic range for each model compound and to quantify concentrations
in the methanol acceptor phase for CP-MIMS experiments. To accomplish
this, a 6-port valve fitted with a 200 μL injection loop (PEEK
tubing ID = 0.076 cm) was utilized to produce 2.7 min signals for
replicate injections separated by a methanol baseline. A methanol
solution of lauric acid-d2 (10 ppb) was
analyzed before and after each model compound to account for any signal
drift during continuous operation. For each injection, at least 1
min (∼400 data points) of steady-state signal intensity was
averaged and used in the subsequent data analysis. Details of the
workflow in determining the risetime (τ), the steady-state concentration
of model compounds in the acceptor phase ([XiSS]MeOH), and the conditional partition
constant (K′PDMS) are presented
in the Supporting Information.
Octanol/Water
Coefficients of Model Compounds Solutions
The Kow values for model compounds were
experimentally determined using the well-established correlation between
log Kow and the HPLC retention
times for a structurally related series of compounds.[24,33] Calculated Kow values for the protonated
form of syringic, 4-phenylbutyric, and pyrenebutyric acids were employed
as a training set to predict the values for the remaining compounds
using isocratic reversed-phase chromatography (details below) on C18 resin in an acidified mobile phase using eq , where tr is retention time (Table S1).
Off-Line Membrane Extraction for HRMS Analysis
of NA and DOM
Samples
Off-line membrane extractions were performed with
a 40 cm length of the same capillary hollow fiber PDMS membrane (above)
submerged in 30 mL of a magnetically stirred aqueous sample adjusted
to pH < 4 with HCl to facilitate carboxylic acid transport. Permeating
molecules were dissolved in a methanol acceptor solvent within the
lumen of the membrane. After a 30 min equilibration, the methanol
acceptor solvent was flushed for 30 min using a syringe pump at 50
μL min–1 and collected for subsequent analysis
by direct infusion HRMS. Following each sampling event, the membrane
was washed with clean methanol for at least 30 min.
Solid-Phase
Extraction of Complex Samples
Weak anion
exchange solid-phase extraction cartridges (SPE–WAX, 200 mg,
Phenomenex, Torrance, CA) were conditioned with 5 mL of MeOH followed
by 5 mL of deionized water. A 10 mL aqueous sample was adjusted to
a pH of 7.0 by adding 1% formic acid and 1% ammonium hydroxide dropwise.
The sample was passed over the SPE–WAX cartridge by gravity.
The cartridge was then washed with 25 mM ammonium acetate (2 mL) and
MeOH (1 mL) before being dried under N2. The organic material
was eluted from the cartridge with 5% ammonium hydroxide in methanol
(2 mL), which was flushed with a 20 mL syringe of air after gravity
drainage. Extracts were dried under N2 and then re-dissolved
in acetonitrile (0.5 mL) with an overall concentration factor of 20.
Before the analysis, an aliquot (0.25 mL) was mixed with 0.1% ammonium
hydroxide in methanol (0.25 mL), and 80 μL of this sample was
spiked with 20 μL of a 100 ppb stock of lauric acid-d2 (analytical concentration: 20 ppb). The samples
were introduced to the HRMS Orbitrap (described below) with a syringe
pump operating at 5 μL/min.
High-Resolution Mass Spectrometry
(HRMS)
Complex samples
were analyzed by Orbitrap Velos Pro mass analyzer (Thermo Fisher,
San Jose, CA) using negative mode electrospray ionization (ESI) at
spray voltage 3.1 kV. Data were acquired using Thermo Fisher Scientific
Xcalibur software (version 3.0) with a mass range of 100–1000 m/z and an instrumental resolution setting
of 100 000. The instrument was externally calibrated with the
manufacturer’s calibration mix spiked with l-arginine
(m/z 173.104) and hydrocinnamic
acid (m/z 149.061) to improve the
mass accuracy at lower masses. Briefly, 1 × 106 ions
were accumulated in each transient in the Orbitrap, and 150 transients
were averaged for each sample. Mass lists were internally calibrated
using m/z 255.23321 and 283.26425,
two common laboratory contaminants present in all samples, and were
exported along with peak intensities to Microsoft Excel.
High-Performance
Liquid Chromatography (HPLC)
HPLC
was conducted with an Agilent 1100 system fitted with a binary pump
and well plate autosampler. Samples were prepared in 100% MeOH and
were injected at 1 μL onto a C18 column (Waters Atlantis T3;
3 μm 2.1 × 150 mm2), and analytes were separated
using an isocratic method (80% methanol, 20% water, 0.1% formic acid,
250 μL min–1 flow rate). The flow was split
so that about 98% of eluent was directed to waste, and ∼5 μL
min–1 was diverted to the ESI-HRMS. Orbitrap MS
data were collected as before and were internally calibrated using m/z 255.23321 and 283.26425 with Thermo
ReCal off-line software. The resulting Thermo Fisher.raw files were
converted to .mzXML format using ReAdW software.
Data Processing
for Exact Mass and Molecular Formulae
Sample mzXML data (HPLC-MS)
and xlsx files (direct infusion MS) were
processed to assign formulas to signals in MATLAB (Version 2017b)
as in previous studies,[34,35] with further details
found in the Supporting Information. Formulas
containing C, H, or O, plus lauric acid-d2 were allowed as for assignment, with H/C ratio of 0.3–2.0
and O/C ratio 0–1 and the requirements that formulas be valence
neutral and mass 100–700. A total of 64 334 potential
formulas were allowed, leading to 2003 assigned formulas that were
within 1.5 ppm of the calculated exact mass.
Results and Discussion
NAs and
DOM are Structurally Similar but Chemically Diverse
One approach
to identify classical NAs in complex aqueous samples
containing biogenic DOM is to leverage the high resolving power of
mass spectrometric methods and generate accurate masses for molecular
formula assignment. Figure displays HRMS data for the direct infusion of commercial
Merichem NA and Nordic Reservoir NOM standard solutions at a mass
resolution of ∼100 000. The ESI(−) HRMS mass
spectra for [M – H]− ions show that considerable
overlap between NAs and DOM will occur at nominal mass resolution
(Figure S1). However, after molecular formula
assignment, clear compositional differences emerge in terms of oxygen
content and hydrophobic character. Figure A depicts the oxygen atom distribution, revealing
that this NA mixture was comprised of compounds with relatively low
oxygen content, heavily dominated by the O2 compound class.
In contrast, the DOM sample displays a broader distribution of oxygenated
species with a higher oxygen content (e.g., O5 to O12). These trends are visualized in Van Krevelen diagrams,
where compounds with high H/C and low O/C ratios are associated with
a greater hydrophobic character, as shown in red for the authentic
NA standard (Figure B). Conversely, compounds in biogenic DOM are more hydrophilic, with
a wider range of O/C ratios and lower H/C ratios (Figure C). While the molecular diversity
in both NAs and DOM mixtures will vary between sources and can be
different from commercially available standard mixtures, it is generally
recognized that DOM is more oxygenated and consequently more hydrophilic
than classically defined NAs regardless of their source. For example,
we observe similar characteristics for the DOM in the Fyrisån
River (Figure S2) consistent with reports
for other DOM sources.[24,34,36] It is worth noting that OSPW contains a broader range of naphthenic
acid fraction compounds and may not be well represented by Merichem
NA mixtures. However, it does contain significant quantities of the
classically defined NAs, which are associated with the aquatic toxicity
of OSPW. Nonetheless, given that the molecular formulae assignments
distinguishing NAs from biogenic DOM rely on the accurate mass obtained
from HRMS, commonly available and affordable low-resolution mass spectrometers,
such as triple quadrupole or ion trap instruments, cannot be used
to easily analyze NAs in the presence of DOM without some form of
molecular separation (e.g., chromatography or membrane permeation).
Figure 1
Comparison
of direct infusion (−)ESI-HRMS data for Merichem
NA mixture (red, 1 ppm) and Nordic Reservoir NOM (black, 50 ppm).
(A) Oxygen distribution (weighted intensity). (B) Van Krevelen diagram
for Merichem NA mixture. (C) Van Krevelen diagram for Nordic Reservoir
NOM; point size corresponds to peak intensity relative to lauric acid-d2 internal standard.
Comparison
of direct infusion (−)ESI-HRMS data for Merichem
NA mixture (red, 1 ppm) and Nordic Reservoir NOM (black, 50 ppm).
(A) Oxygen distribution (weighted intensity). (B) Van Krevelen diagram
for Merichem NA mixture. (C) Van Krevelen diagram for Nordic Reservoir
NOM; point size corresponds to peak intensity relative to lauric acid-d2 internal standard.
PDMS Perm-Selectivity of NA Model Compounds is Based on Hydrophobicity
To characterize the selective permeability of PDMS membrane sampling,
a series of 10 model carboxylic acids with octanol/water partition
coefficients spanning over 5 orders of magnitude were investigated
by CP-MIMS coupled to a triple quadrupole mass spectrometer (Table ). Figure illustrates the experimental
apparatus used, with the ability to directly infuse methanolic standards
or the membrane permeate acceptor phase to the ESI source of a mass
spectrometer with a 6-port valve.
Table 1
Experimentally Determined Physicochemical
Properties of Model Compounds
name
log Kow
log K′PDMS
syringic
acid
1.06 (0.77)a
na
6-hydroxy-2-naphthoic acid
1.36
–3.36
phenylacetic
acid
1.48
–2.16
4-phenylbutyric acid
2.08 (2.47)a
–2.42
2-naphthoic
acid
2.26
–2.26
6-phenylhexanoic acid
2.98
–1.71
cyclohexanebutyric acid
3.70
–0.97
pyrenebutyric Acid
4.89 (4.79)a
–0.19
dihydroabietic acid
6.87
0.95
Kow values
used in the training set to determine others (training set values
in brackets).
Figure 2
Membrane permeation studies of model compounds
for the determination
of K′PDMS showing a schematic of
the experimental setup for direct infusion and CP-MIMS (panel A) and
typical time-resolved MS signal (panel B). The time series shows the
signal response to a stepwise increase in aqueous phase concentration
of a model compound at t = 3 min. The nonsteady state
signal (red) is fit to yield the natural risetime from the slope of
the line (inset). S represents the signal
at time t, S∞ is
the signal at steady state, k is the pseudo-first-order
time constant for diffusion through the PDMS membrane, and the natural
risetime τ is 1/k. At t =
13 min; the membrane was washed in methanol and at 20 min, the 6-port
valve was switched, and a standard solution was directly infused.
Membrane permeation studies of model compounds
for the determination
of K′PDMS showing a schematic of
the experimental setup for direct infusion and CP-MIMS (panel A) and
typical time-resolved MS signal (panel B). The time series shows the
signal response to a stepwise increase in aqueous phase concentration
of a model compound at t = 3 min. The nonsteady state
signal (red) is fit to yield the natural risetime from the slope of
the line (inset). S represents the signal
at time t, S∞ is
the signal at steady state, k is the pseudo-first-order
time constant for diffusion through the PDMS membrane, and the natural
risetime τ is 1/k. At t =
13 min; the membrane was washed in methanol and at 20 min, the 6-port
valve was switched, and a standard solution was directly infused.Kow values
used in the training set to determine others (training set values
in brackets).Figure B shows
a representative time series data set. At 3 min, the CP-MIMS immersion
probe is placed into a well-stirred aqueous standard solution containing
model NA compounds. The nonsteady state rise in the mass spectrometer
signal is due to the diffusion-controlled permeation of analyte through
the PDMS membrane. The data between roughly 3–7 min corresponding
to 20–90% of the signal rise (red) is log-transformed to yield
a linear fit used to calculate the natural risetime (τ), which
is inversely proportional to the diffusivity (D).
The average steady-state signal between 9 and 12 min is proportional
to the analyte concentration. At 20 min, the 6-port valve was actuated
to directly infuse a methanolic standard solution of the model compound
and used to calibrate the concentration in the acceptor phase. The
permeation efficiency of each model compound was thus determined by
measuring its concentration in the methanol permeate (acceptor phase)
relative to its concentration in the corresponding prepared aqueous
standard solution (donor phase).Membrane permeation is governed
by the product of partitioning
(KPDMS) and the diffusivity (D) through the polymer.[37,38] The diffusivity is
largely governed by the hydrodynamic volume of the permeant and is
inversely proportional to the signal risetime (τ). We therefore
define a conditional partition constant, K′PDMS, for each model compound as follows, where [Xi] and τi represent the concentration
and risetime of model compound i, respectively.While the values of K′PDMS are specific to the conditions of the CP-MIMS experiment
(membrane geometry, acceptor phase flow rates, etc.), they can be
used as a relative measure of PDMS perm-selectivity when comparing
compounds under identical conditions. We have included additional
background on permeation and the data analysis in the Supporting Information.Plotting the experimentally
derived log K′PDMS values
obtained from CP-MIMS permeation experiments
against the log Kow (Table ), we observe a linear free
energy relationship (Figure ).
Figure 3
Measured log K′PDMS of
the model compounds across the PDMS membrane versus the estimated
log Kow from HPLC retention times.
Syringic acid (log Kow ∼1)
was not detected by membrane sampling even at aqueous concentrations
>5 ppm and therefore is not included here.
Measured log K′PDMS of
the model compounds across the PDMS membrane versus the estimated
log Kow from HPLC retention times.
Syringic acid (log Kow ∼1)
was not detected by membrane sampling even at aqueous concentrations
>5 ppm and therefore is not included here.This confirms that the observed perm-selectivity of PDMS in the
CP-MIMS experiments is driven by the intrinsic hydrophobic character
of the permeant, as reported by the octanol/water partition coefficient. Equation is critical in parameterizing
membrane transport, an important contributor to both the analytical
sensitivity and selectivity of CP-MIMS.Hydrophilic molecules partition less into
the PDMS, resulting in a reduced concentration gradient across the
membrane. Hence, even low molecular weight (i.e., small hydrodynamic
volume) compounds will suffer a low permeation efficiency if they
are hydrophilic, resulting in reduced CP-MIMS analytical sensitivity.
Furthermore, the quantitative structure–activity relationship
established here suggests that the CP-MIMS technique could be used
to predict octanol/water partition coefficients for structurally related
series of compounds in complex mixtures and at low analyte concentrations.
PDMS Membrane Sampling is Selective for Naphthenic Acids
To demonstrate the selectivity of membrane sampling for NAs over
DOM, two natural river water samples were investigated, one from the
oil sands region of Alberta (Canada) and the other in Uppsala (Sweden),
with no heavy oil deposits or local NA sources. All samples were analyzed
by direct infusion HRMS (Orbitrap), and molecular formulae calculated
from the accurate masses were used to generate Van Krevelen diagrams.
In Figure , we compare
sample cleanup by SPE–WAX[20] to the
membrane permeate. Panels A–D present four distinct water samples
after SPE–WAX of samples are adjusted to pH 7, whereas panels
E–H are the PDMS membrane extracts of the same water samples
after adjusting to pH ∼3. Data points are intensity-scaled
to the internal standard lauric acid-d2, and those with molecular formulae meeting the criteria for classical
NAs (CH2O2) are depicted in red. To visualize
trends over the wide range of signal intensities, a variation of these
plots is found in Figure S3, where the
point sizes have been scaled to the square root of the normalized
signal intensity.
Figure 4
Van Krevelen diagrams showing extracted molecular masses
of trace
organic compounds in water samples using SPE extraction (top; A–D)
and PDMS membrane sampling (bottom; E–H). Point size indicates
the intensity relative to the lauric acid-d2 internal standard. Panels (A, E) are deionized water fortified with
1 ppm NA standard, (B, F) are native river water from Uppsala, Sweden,
panels (C, G) are composite samples from Alberta, Canada, and panels
(D, H) are the same composite river samples fortified with 1 ppm NA
standard. The preconcentration factor for the SPE extractions was
20×.
Van Krevelen diagrams showing extracted molecular masses
of trace
organic compounds in water samples using SPE extraction (top; A–D)
and PDMS membrane sampling (bottom; E–H). Point size indicates
the intensity relative to the lauric acid-d2 internal standard. Panels (A, E) are deionized water fortified with
1 ppm NA standard, (B, F) are native river water from Uppsala, Sweden,
panels (C, G) are composite samples from Alberta, Canada, and panels
(D, H) are the same composite river samples fortified with 1 ppm NA
standard. The preconcentration factor for the SPE extractions was
20×.The Van Krevelen plots of a NA
standard mixture in deionized water
illustrate that NAs are present in both the SPE–WAX and PDMS
extracts (panels A and E, respectively). On the other hand, the river
Fyrisån (Sweden) containing ca. 15 ppm C show that the SPE–WAX
method retains biogenic DOM, whereas the membrane is essentially impermeable
to this class of compounds (panels B and F, respectively). This led
to the extremely low total intensity of detected compounds in the
membrane extraction, as shown in panel F, consistent with the absence
of NAs in this sample. A composite Athabasca river sample from northern
Alberta (Canada) shows a high DOM background by SPE–WAX (panel
C), which is absent in the PDMS membrane extract (panel G). This is
consistent with the measured dissolved organic carbon of ca. 20 ppm.
After fortification with 1 ppm of a commercial NA mixture, the SPE–WAX
method detects NAs as well as the DOM compounds (panel D). In contrast,
the PDMS membrane extract is clearly selective for NAs in the presence
of DOM (panel H). Similar experiments using Suwannee River NOM again
demonstrate PDMS membrane selectivity for NAs (Figure S4). Interestingly, the Van Krevelen plots for panels
C and G in Figure suggest that low concentrations of O2 NAs are present
in the Athabasca composite. It should be noted, however, that not
all hydrophobic DOM is necessarily NAs,[39] nor are all NAs anthropogenic.[40] While
the perm-selectivity of PDMS favors the hydrophobic O2 NA
class over biogenic DOM under acidic conditions, the broader class
of NAFCs, including more polar heteroatom constituents, are not membrane-permeable
under the current conditions.[30] Nonetheless,
it does provide a convenient diagnostic technique to monitor the presence
of O2 NAs, which are a recognized contributor to OSPW aquatic
toxicity. Overall, these data indicate that NA and DOM are both extracted
with SPE–WAX, while PDMS membrane sampling is selective for
classical NAs and supports our previous findings, where DOM had negligible
effects on NA quantification with membrane sampling.[19,29,31]While solid-phase extraction
offers a robust method for NA preconcentration
and the removal of background salts that complicate MS analyses, our
data indicates that SPE based on anion affinity will also retain biogenic
DOM. Ultimately, this creates a necessity for high-resolution mass
spectrometry (accurate formula assignment) to discriminate between
trace NAs in natural waters containing biogenic DOM. On the other
hand, PDMS membrane sampling was shown to be highly selective for
classical NAs in the presence of naturally occurring DOM. This is
consistent with our earlier observations that the membrane is perm-selective
for the O2 class of NAs[30] and
more recent control experiments showing no positive bias in the quantitation
of classical NAs in waters impacted by diluted bitumen in the presence
of high DOM loads up to 50 ppm C.[29] The
selectivity of O2 NAs and exclusion of DOM are significant
findings, due to recent studies identifying the O2 class
of NAs as some of the most highly toxic components in the acid extractable
organic fractions of oil sands process waters.[7] Furthermore, it suggests that PDMS membrane sampling may be used
for the determination of classical NAs in environmental samples, even
using low-resolution mass spectrometry or nonspecific techniques,
such as NMR or IR.[7,12,22] This approach would enable more cost-effective and flexible methods
for sample collection, cleanup, and detection of NA pollution in remote
areas, including via portable mass spectrometry.
HPLC–HRMS
of Natural Waters and NA Mixtures
We analyzed the solid-phase
extract of the river Fyrisån (Sweden)
and the Merichem mixture of NAs using the same isocratic HPLC-HRMS
technique as the model compounds. The resulting separation of the
two complex mixtures based on hydrophobicity is clear (Figure ). Using the retention times
of model compounds and/or isomer classes identified from the HRMS
data and eq , we estimate
the corresponding log Kow values
displayed on the x-axis. All DOM-related compounds
(black) elute early with a corresponding range of log Kow values between about 0.8 and 3, consistent
with previous observations.[24] Conversely,
the NA-related compounds (red) elute much later, corresponding to
higher log Kow values ranging from
roughly 4 to 8. This distinct separation between the more hydrophilic
DOM and more hydrophobic NAs falls between log Kow values of 3 and 4. This corresponds to the point at
which membrane permeation becomes more favorable, as depicted by the
exponential increase in K′PDMS (dotted
blue line) superimposed on Figure , derived from eq . Interestingly, the O2 compounds found in the
Fyrisån river DOM (“O2 peaks”) had lower
retention times than the O2 peaks in the NA mixture, indicating
that the O2 peaks in DOM from this river are not naphthenic
acids and may be misidentified as such by other techniques.[39] The results presented here reveal that at environmental
concentrations, DOM is effectively excluded by membrane sampling,
whereas more hydrophobic NAs undergo selective membrane transport
through PDMS.
Figure 5
HPLC-MS of Merichem NA (red) and the SPE extract of Fyrisån
river water (Sweden; black). The chromatograms represent the sum of
all peaks detected (solid lines), and O2 formulas detected
in both samples (dotted lines, ×10 for DOM). The chromatograms
are smoothed to 10-point medians. The DOM peaks generally fall in
the log Kow <3 range, whereas
peaks in the Merichem sample generally have a log Kow >3. The O2 formulas follow the same ranges
as the bulk organic matter in each case. The dotted blue line is derived
from eq for K′PDMS and represents the relative mass
transport efficiency of membrane sampling as determined from the permeation
behavior of a series of model compounds.
HPLC-MS of Merichem NA (red) and the SPE extract of Fyrisån
river water (Sweden; black). The chromatograms represent the sum of
all peaks detected (solid lines), and O2 formulas detected
in both samples (dotted lines, ×10 for DOM). The chromatograms
are smoothed to 10-point medians. The DOM peaks generally fall in
the log Kow <3 range, whereas
peaks in the Merichem sample generally have a log Kow >3. The O2 formulas follow the same ranges
as the bulk organic matter in each case. The dotted blue line is derived
from eq for K′PDMS and represents the relative mass
transport efficiency of membrane sampling as determined from the permeation
behavior of a series of model compounds.
Effect of Membrane Sampling on NA Isomer Class Distributions
We have previously noted that the isomer class distribution of
O2 class NA mixtures observed by CP-MIMS[26,30,41] is remarkably similar to those published
by others.[5] The hydrophobicity of classical
NAs typically ranges over log Kow 4–8 and increases with carbon number and degree of hydrogen
saturation.[25] This can be seen in the HRMS
data set for the Merichem NA mixture (Figure S3) and suggests that higher molecular weight NA components may be
enriched by membrane sampling relative to lower molecular weight NAs.
However, the greater permeability of larger NA components is offset
to some extent by their lower diffusivity (D), as
reported by their slower natural risetimes (τ). Panel B in Figure S5 compares the relative ion abundances
between direct infusion, SPE, and PDMS. Both the SPE and PDMS treatments
appear to under-represent the smaller NAs (m/z < 223) relative to direct infusion without sample preparation,
whereas PDMS and direct infusion treatments appear to converge for
higher molecular weight isomer classes (m/z > 237). Given that all sample cleanup procedures impart
some bias when applied across a diverse mixture of molecules, the
effects observed here are relatively modest, with membrane samplings
imparting minimal bias among O2 isomer classes. However,
it would be interesting to explore the extent to which membrane sampling
affects the distribution of individual NAs further in complex mixtures,
including OSPW extracts. It should be noted that many of the constituents
in the broader class of NA fraction compounds,[6] which include heteroatoms (N, S) and additional O, are sufficiently
polar or remain ionized in solution and therefore not sampled by membrane
extraction. While other hydrophobic compounds, such as polycyclic
aromatic hydrocarbons, are known to permeate the PDMS membrane,[42] they do not bias the results presented here,
as they are not ionized by ESI(−). On the other hand, some
nonpetrogenic carboxylic acids (i.e., resin acids from the pulp and
paper industry) may impart a positive bias, if present.The
examination of complex aqueous samples at high mass resolution clearly
demonstrates differences in the chemical composition and membrane
permeability of DOM and NAs. We demonstrate that appreciable membrane
transport is associated with compounds with log Kow >4, while compounds with log Kow <3 remain largely in the aqueous phase. This effectively
separates classical NAs (O2) from DOM in environmental
samples and is considerably more selective than weak anion exchange
SPE. Consequently, on-line membrane extraction provides a convenient
sample introduction platform for the analysis of the toxic O2 NAs in natural waters when coupled to mass spectrometry for rapid
screening and high throughput analysis. The results further suggest
that membrane extraction may be an effective sampling or sample cleanup
strategy for hydrophobic contaminants when coupled with conventional
off-line analytical methods or more portable (low resolution) instruments
with the aim of simplifying NA analysis for on-site and industrial
applications.
Authors: Collin J Arens; Jennifer C Arens; Natacha S Hogan; Richard J Kavanagh; Fabrice Berrue; Glen J Van Der Kraak; Michael R van den Heuvel Journal: Environ Toxicol Chem Date: 2017-02-13 Impact factor: 3.742
Authors: Joseph Monaghan; Larissa C Richards; Gregory W Vandergrift; Lindsay J Hounjet; Stanislav R Stoyanov; Chris G Gill; Erik T Krogh Journal: Sci Total Environ Date: 2020-12-25 Impact factor: 7.963
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Authors: Jennifer R Loughery; Julie R Marentette; Richard A Frank; L Mark Hewitt; Joanne L Parrott; Christopher J Martyniuk Journal: Environ Sci Technol Date: 2019-08-22 Impact factor: 9.028
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