The influence of organic compounds on iodine (I2) emissions from the O3 + I- reaction at the sea surface was investigated in laboratory and modeling studies using artificial solutions, natural subsurface seawater (SSW), and, for the first time, samples of the surface microlayer (SML). Gas-phase I2 was measured directly above the surface of liquid samples using broadband cavity enhanced absorption spectroscopy. I2 emissions were consistently lower for artificial seawater (AS) than buffered potassium iodide (KI) solutions. Natural seawater samples showed the strongest reduction of I2 emissions compared to artificial solutions with equivalent [I-], and the reduction was more pronounced over SML than SSW. Emissions of volatile organic iodine (VOI) were highest from SML samples but remained a negligible fraction (<1%) of the total iodine flux. Therefore, reduced iodine emissions from natural seawater cannot be explained by chemical losses of I2 or hypoiodous acid (HOI), leading to VOI. An interfacial model explains this reduction by increased solubility of the I2 product in the organic-rich interfacial layer of seawater. Our results highlight the importance of using environmentally representative concentrations in studies of the O3 + I- reaction and demonstrate the influence the SML exerts on emissions of iodine and potentially other volatile species.
The influence of organic compounds on iodine (I2) emissions from the O3 + I- reaction at the sea surface was investigated in laboratory and modeling studies using artificial solutions, natural subsurface seawater (SSW), and, for the first time, samples of the surface microlayer (SML). Gas-phase I2 was measured directly above the surface of liquid samples using broadband cavity enhanced absorption spectroscopy. I2 emissions were consistently lower for artificial seawater (AS) than buffered potassium iodide (KI) solutions. Natural seawater samples showed the strongest reduction of I2 emissions compared to artificial solutions with equivalent [I-], and the reduction was more pronounced over SML than SSW. Emissions of volatile organic iodine (VOI) were highest from SML samples but remained a negligible fraction (<1%) of the total iodine flux. Therefore, reduced iodine emissions from natural seawater cannot be explained by chemical losses of I2 or hypoiodous acid (HOI), leading to VOI. An interfacial model explains this reduction by increased solubility of the I2 product in the organic-rich interfacial layer of seawater. Our results highlight the importance of using environmentally representative concentrations in studies of the O3 + I- reaction and demonstrate the influence the SML exerts on emissions of iodine and potentially other volatile species.
Tropospheric iodine
is attracting increasing research interest
as insights are gained into its large influence on local and global
tropospheric and stratospheric chemistry.[1−8] Reactive iodine species, such asIO radicals, induce cycles of catalytic
ozone destruction,[5,9,10] change
the oxidative capacity of the troposphere through their perturbation
of the HOx and NOx cycles,[1,2,11,12] and are linked to particle nucleation.[13,14] Tropospheric iodine levels have tripled since the mid-20th century
in certain regions,[15,16] thus a robust understanding of
iodine sources into the atmosphere is crucial.The main source
of atmospheric iodine is oceanic emissions.[22] Although biogenic sources contribute to iodine
emissions in coastal areas,[17,18] around 80% of atmospheric
iodine is believed to arise from abiotic sea-air emissions of inorganic
iodine in the form of molecular iodine (I2) and hypoiodous
acid (HOI).[2,19,20] These emissions result from the reaction of ozone with iodide (I–), which, along with iodate (IO3–),[21,22] comprise the main form of oceanic iodine
at the sea surface (RR1–RR6)[19,23,24]On average, the
global sea surface iodide
concentration (upper 20 m) is estimated at 9.5 × 10–8 M.[25] Typical iodinesea-air fluxes calculated
for the clean marine boundary layer lie in the range of 100–250
nmol m–2 d–1 for HOI and 2–10
nmol m–2 d–1 for I2.[19,26]Iodide reacts very rapidly with ozone
(RR1), much faster than the equivalent reactions
of Cl– and Br– (kI– = 2 × 109 M–1 s–1, kBr– =
1–2 × 103 M–1 s–1, kCl– ∼ 3 × 10–3 M–1 s–1), explaining
the major influence
iodide has on the dry deposition of ozone, despite its much smaller
concentration in seawater ([Cl–] = 5.6 × 10–1 M; [Br–] = 8.6 × 10–4 M).[27−30] The fast reactivity of iodide with O3 and its enhancement
at the air–water interface[31,32] suggests that
heterogeneous surface reactions would be promoted. However, at low
iodide conditions ([I–] < 10–5 M) such as found at the sea surface, the reaction is dominated by
aqueous-phase bulk reactivity for all atmospherically relevant ozone
concentrations.[33] This is explained by
the relatively high reacto-diffusive length (a few micrometers) as
a result of a slow rate of O3 consumption under these low
[I–], natural conditions.[33]The influence of organic compounds on the ozone + iodide reaction
remains unclear. Due to the presence of other ions and virtually unknown
quantities of various dissolved organics, the sea surface is a chemically
complex, but dilute, system. The surface microlayer (SML), the uppermost
1 to 1000 μm of the sea surface, represents a less dilute environment
where surface-active organics can become significantly enriched.[34,35] By its nature, the SML constitutes the interface between the air
and water, and its influence on air-sea exchange has been demonstrated
for trace gases, e.g., CO2[36] and N2O.[37] However, the underlying
mechanisms remain largely unknown and it is not clear to what extent
the presence of natural surfactants modifies oceanic gaseous emissions.[38,39]Organics influence iodine emissions in different ways via
several
mechanisms, as summarized in Table S1.
A suppression of I2 emissions was observed in the presence
of a monolayer of octanol,[40] whereas short-chain
carboxylic and fulvic acids enhanced I2 emissions.[41] Chemical competition for O3 by phenolate
ions at the surface also suppresses I2 emissions.[42] The addition of a complex organic matrix, dissolved
organic carbon (DOC) extracted from natural seawater, to buffered
solutions of iodide has been found to lead to a strong reduction of
I2(g) emissions.[43] This reduction
could not be explained by the reactivity of DOC toward O3 and I2/HOI, and instead a decrease in the net transfer
rate of I2 from the aqueous to gas phase was suggested,[43] as previously observed for octanol.[40] Conversely, ozonolysis of coastal seawater samples
can generate certain halocarbons (CH2I2, CHI3, and CHClI2),[44] implying
that reactions of the I2 (or HOI) product in solution can
yield organic iodine species. However, no direct link has been demonstrated
between the emission of halocarbons and the presence of dissolved
organics or reduced emission of inorganic iodine. Overall, these studies
show that introducing a single organic component can alter iodine
emissions through chemical enhancement, suppression, and/or physical
hindrance.Here, we compare iodine (I2(g)) emissions
from the dark
reaction of ozone with iodide in buffered potassium iodide solutions
and artificial seawater (AS), against natural subsurface seawater
(SSW) and, for the first time, SML samples. Importantly, these experiments
were performed for ozone mixing ratios (20–150 ppbv) and iodide
concentrations (1 × 10–7 to 1.6 × 10–5 M), which include ambient conditions. The dependence
on ozone and iodide concentrations is investigated and the influence
of organic materials is discussed. In separate experiments, we explore
halocarbon production from the ozone + iodide reaction, comparing
halocarbon emissions from artificial seawater, SSW and SML samples,
as functions of ozone and iodide concentrations. The implications
of these first I2 and organic emission measurements using
natural SML samples are explored using an adaptation of the aqueous
interfacial layer model of Carpenter et al.[19]
Materials and Methods
Chemicals
Buffered solutions of
iodide were prepared
by adding concentrated KI stock solutions to a phosphate buffer at
pH 8. Artificial seawater (AS) solutions were made by dissolving KCl
and KBr in a phosphate buffer and then adding aliquots of the KI stock
solutions. Full details are in the Supporting Information (SI).
Sampling and Analysis of Seawater
The samples of natural
seawater were obtained from the North Sea, 5 km off-shore from Bridlington
(U.K.), and filtered through GF/F ashed quartz filters. Iodide in
the samples was measured using cathodic stripping voltammetry. DOC
was determined using a total organic carbon analyzer. Surface tension
was measured using the DuNoüy ring method. Details about the
sampling locations, dates, procedures, and methods can be found in
SI, Sections S1.2–S1.5 and Table S2.
In Situ I2 Measurements
Figure S1 shows the apparatus for in situ measurements of
molecular iodine by broadband cavity enhanced absorption spectroscopy
(BBCEAS). A 250 cm3 min–1 flow of synthetic
air (BTCA-178, BOC special gases) passed through an ozone generator
and mixed with 3500 cm3 min–1 of synthetic
air before entering the custom-built glass reaction vessel. The vessel
contained 500 cm3 of aqueous solution with a surface area
of approx. 380 cm2, leaving a headspace of 4800 cm3 where the BBCEAS light beam was integrated. Iodine concentrations
were measured approximately 3.5 cm above the liquid’s surface.
Two additional air flows, 200 cm3 min–1 in total, were used to purge the cavity mirrors; thus, the total
flow through the vessel was 3950 cm3 min–1. The vessel was thermostatted and covered in aluminum foil to avoid
photolytic losses of I2 (or the production of IO radicals).
The solution was actively stirred at the same rate for all experiments
by means of a central magnetic stirrer, and solutions were brought
to temperature before introduction into the vessel. Experiments recorded
I2 emissions versus increasing iodide concentrations by
adding aliquots (∼1 cm3) of concentrated potassium
iodide solutions (1 × 10–4 or 1 × 10–3 M) to the sample solutions through a lid at the top
of the vessel.Retrieving I2 concentrations followed
a similar procedure to previous BBCEAS measurements.[45] Further details appear in the SI. The errors reported include
the statistical uncertainty of the spectral fit, dominant at small
concentrations, and the systematic errors of the measurement (typically
totaling 16% for I2, see the SI). The limit of detection
for iodine (LoD) was 4 pptv (1 σ in 60 s), which corresponds
to a minimum detectable I2 flux of 1.5 × 107 molecules cm–2 s–1. All iodine
data was corrected for losses in the reaction vessel due to the gas-phase
reaction of I2 + O3 using the rate constant k(I =
2.25 × 103 M–1 s–1.[46] These losses proved to be negligible
(<1% of the I2 emissions) for the low reactant concentrations
of our experiments and the relatively short residence time of gas
inside the reactor (73 s).Ozone, measured using commercial
UV absorbance ozone monitors,
was monitored upstream and downstream of the vessel by switching a
three-way valve. O3 measurements are detailed in the SI.
All results presented here were obtained for solutions and seawater
samples at 17 °C.
Halocarbon Measurements
The production
of halocarbons
was examined using the setup depicted in Figure S2. The system was designed to flow 500 cm3 min–1 of dry hydrocarbon-free air through a mass flow controller,
with or without ozone, into the reaction vessel (500 cm3 round-bottom glass flask). There, it passed over 250 cm3 of degassed artificial seawater or natural samples (surface area
of 105.7 cm2) before sampling. The entire reaction vessel
and tubing were thermostatted and covered in aluminum foil to prevent
halocarbon losses due to wall losses and photolysis. During all experiments,
the solution was gently stirred using a magnetic stirrer to avoid
depletion at the surface and to mimic the dynamics at the sea surface.
The halocarbon products were trapped using an air server coupled to
a thermal desorption unit (CIA-8, Unity-2, Markes, U.K.) and then
analyzed using gas chromatography coupled to a mass spectrometer (GC–MS,
Agilent 6890, 5975C). Further details are in the SI.
Modeled Iodine
Emissions: The Sea Surface Model
The
interfacial model described in Carpenter et al.[19] was used, with some modifications, to estimate I2 (and HOI) emissions from this study’s experiments. Full details
can be found in the SI. Briefly, we assumed that the ozone uptake
coefficient γI is controlled
by the aqueous-phase O3 + I– reaction
and is equivalent to γaq,I, withwhere αaqI– is the mass accommodation
coefficient
and ΓaqI– is the conductance of the aqueous-phase reaction, given byIn eq , s is the ozone solubility in nondimensional
units (aqueous molarity/gas molarity), kI– is the rate constant for the aqueous-phase reaction O3 + I–, aI is the activity of iodide, and Daq is the diffusion coefficient of aqueous ozone. The
values of s and Daq were
calculated according to the salt content of the water.[33,47−49]At the higher iodide conditions of our experiments
([I–] > ∼ 1 × 10–5 M), surface reactions may add an appreciable extra component to
O3 uptake (e.g., refs (33, 50)). In the SI, we describe a sensitivity study where we included total
surface and bulk phase O3 uptake in the model,[50] without any changes to the iodine emissions
scheme. Noting that the model is designed to simulate environmental
conditions where the aqueous reaction dominates ([I–] < 1 × 10–5 M), and that those are the
experimental conditions used here, we did not include surface reactivity
for the remainder of this work.Rapid production of I2(aq) follows the reaction of iodide
at the aqueous surface with O3 deposited from the gas phase
(RR1–RR4). The
aqueous iodine reaction scheme used here was the same as in Carpenter
et al.[19] except for a modification to reflect
that I2(g) emissions observed from artificial seawater
(AS) were only around 50% of those from buffered potassium iodide
solutions. The reasons for this are unknown, but a potential explanation
could be a competing oxidation of HOI to iodate (IO3–) by HOCl/OCl– or HOBr/OBr–,[51] formed through heterogeneous reactions
of Cl– and Br– with O3.[52,53] It is beyond the scope of this study to
attempt to model such chemistry explicitly. Rather, we included the
reactions HOI + HOCl/OCl– → IO3– as a proxy for the reduction of iodine emissions
observed in the presence of Cl– or Br–. An assumed total of 2 mM of HOCl/OCl– (for seawater
concentrations of Cl– and Br–;
54% of deprotonated HOCl at pH = 8) was sufficient to dampen modeled
I2 emissions by ∼50% in artificial seawater compared
to equivalent conditions over KI solutions. We included this HOCl/OCl– reaction in all simulations of natural or artificial
seawater.Concentrations of [I–], [H+], and
[OH–] were fixed for each model run. For modeling
iodine emissions from SSW and SML, we included (as in ref (19)) pseudo-first-order rate
constants for “O3 + DOC” interfacial reactions
of 100 s–1 and for “I2/HOI + DOC”
of 7 × 10–3 s–1.[6,54] We also utilized the latter reaction to explore the potential for
volatile organic iodine production.
Experimental Results and
Discussion
Molecular Iodine (I2) Emissions
The influence
of organics in solution on gaseous inorganic iodine emissions was
investigated using BBCEAS to monitor I2 emitted from the
ozonolysis of buffered solutions of KI, artificial seawater (AS),
natural subsurface seawater (SSW), and sea surface microlayer (SML)
samples.
Artificial Solutions
Figure , panel A, shows that iodine emissions were
readily detected from KI solutions, even for low ozone and the lowest
iodide concentrations tested (3 × 10–7 M).
Increasing iodide concentrations led to higher concentrations of gas-phase
I2 under all experimental conditions. Emissions increased
almost linearly with increasing ozone and increasing [I–], although some roll-off in linearity was observed for the highest
iodide concentrations (≥8 × 10–6 M).
Figure 1
Panel
A: BBCEAS measurements of I2 emissions as a function
of [I–] over buffered KI solutions (black points)
for ozone concentrations of 13.6 ppbv (squares), 22.7 ppbv (circles),
and 66.6 ppbv (triangles) at 17 °C. The red symbols are the I2 emissions over artificial seawater for [O3] =
18 ppbv (squares), 34.7 ppbv (circles), and 126.7 ppbv (triangles).
Panel B: BBCEAS measurements of I2 emitted from the natural
samples of subsurface seawater (blue, SSW), surface microlayer (green,
SML), and a mixture of 20% SML + 80% SSW (gold) for ozone concentrations
of 38.6, 38.5, and 36 ppbv, respectively (circles). The triangular
symbols show I2 recorded at higher ozone concentrations
over SSW ([O3] = 128.1 ppbv) and SML ([O3] =
134.6 ppbv). All measurements at 17 °C. The dotted lines are
the straight segments between the points, meant to guide the eye.
The error bars reflect the overall uncertainty on the measurements,
including the uncertainty on the spectral fit, averaging and systematic
errors.
Panel
A: BBCEAS measurements of I2 emissions as a function
of [I–] over buffered KI solutions (black points)
for ozone concentrations of 13.6 ppbv (squares), 22.7 ppbv (circles),
and 66.6 ppbv (triangles) at 17 °C. The red symbols are the I2 emissions over artificial seawater for [O3] =
18 ppbv (squares), 34.7 ppbv (circles), and 126.7 ppbv (triangles).
Panel B: BBCEAS measurements of I2 emitted from the natural
samples of subsurface seawater (blue, SSW), surface microlayer (green,
SML), and a mixture of 20% SML + 80% SSW (gold) for ozone concentrations
of 38.6, 38.5, and 36 ppbv, respectively (circles). The triangular
symbols show I2 recorded at higher ozone concentrations
over SSW ([O3] = 128.1 ppbv) and SML ([O3] =
134.6 ppbv). All measurements at 17 °C. The dotted lines are
the straight segments between the points, meant to guide the eye.
The error bars reflect the overall uncertainty on the measurements,
including the uncertainty on the spectral fit, averaging and systematic
errors.I2 production over
artificial seawater (AS, Figure A) shows a very similar
trend, but with overall lower I2 flux rates than for KI
solutions. Over AS, the lowest iodide concentration [I–] = 1.5 × 10–7 M and lowest ozone concentration
(17 ppbv) did not produce I2 emissions above the detection
limit of the BBCEAS system. For all other ozone concentrations (35–127
ppbv) and iodide concentrations, I2 was detected above
the LoD, showing a generally linear increase with [O3].The fluxes obtained in our experiments with KI solutions correspond
well to previous observations. Carpenter et al.[19] reported a flux I2 emitted = 4 × 1010 molecules cm–2 s–1 for
a buffered iodide solution with [I–] = 1.5 ×
10–5 M and [O3] = 35 ppbv at 20°C.
Under similar conditions, [I–] = 1.6 × 10–5 M and [O3] = 37.2 ppbv at 17 °C,
the flux observed in this study is slightly lower, I2 emitted = 3.3 × 1010 molecules cm–2 s–1. The observed I2 fluxes also agree well
with observations reported in MacDonald et al., from solutions without
chloride.[55] The flux observed here, for
[I–] = 1.2 × 10–6 M and [O3] = 66.6 ppbv, is I2 emitted = 4.6 ×
109 molecules cm–2 s–1. This compares well with their I2 emitted = 4.9
× 109 molecules cm–2 s–1 for a buffered solution of [I–] = 1 × 10–6 M and [O3] = 78 ppbv.[55]When comparing I2 fluxes over artificial
seawater, our
observations are about 3 times smaller than in MacDonald et al.[55] using a similar chloride concentration (0.5
M) for [I–] = 1 × 10–6 M.
MacDonald et al.[55] report an I2 flux of 12 × 109 molecules cm–2 s–1, whereas the flux calculated by extrapolating
our AS data to the same ozone concentration (222 ppbv) is around 3.9
× 109 molecules cm–2 s–1. However, there are some important differences that may explain
this discrepancy. First, MacDonald et al. did not stir the liquid
phase for their experiments, a condition known to lead to higher emissions
due to reduced downmixing of products formed, making unstirred conditions
less representative of the turbulent surface layer of the ocean.[19] Second, the AS used here contains bromide, whereas
the MacDonald study used only chloride. Although the reaction of bromide
with ozone is slow as stated in the introduction, bromide reacts quickly
with HOI to form BrI (k = 4.1 × 1012 M–1 s–1), which could further contribute to the lower
emissions observed here.[56]The I2 emissions observed over buffered KI solutions
showed a near linear increase with increasing ozone concentrations
(Figure , black squares).
Although nonlinear behavior of I2 emissions as a function
of ozone has been observed under high iodide (5 × 10–3 M) and high ozone conditions (over ∼100 ppmv), linear behavior
in ozone is expected for our iodide and/or ozone concentrations or
lower.[19,24] At conditions representative for the open
ocean’s surface (low ozone, low iodide), I2 emissions
can thus be expected to scale linearly with [O3] as also
predicted by the interfacial model (see section: Interfacial Model Results and Discussion). Figure shows that lower I2 emissions were observed when using artificial seawater solutions
compared to buffered KI solutions at all ozone concentrations. Since
the only change between the experiments with the buffered KI solutions
and artificial seawater is the addition of potassium chloride and
bromide, this change in salinity seems to provoke the observed change
in emissions.
Figure 2
Measured I2 emissions at 17 °C as a function
of
ozone concentration for total [I–] = 1.2 ×
10–6 M (filled symbols) and total [I–] = 7.9 × 10–7 M (open symbols) over buffered
KI solutions (black squares), artificial seawater (red circles), subsurface
seawater (blue triangles), and surface microlayer sample (green diamonds).
The I2 measurements from SSW and SML used samples collected
on 04/05/2018, except measurements at [O3] = 38.6 ppbv,
which were done with the samples collected on 15/08/2018, as indicated
by the star symbol on the graph (see Table S2 for more details); variability in the organic content of the natural
SSW and SML samples might explain why the I2 emissions
recorded at 38.6 ppbv O3 lie below the trend of the data
points at other O3 concentrations. The dotted lines are
straight segments that join the data points, meant to guide the eye.
The heavy dashed black lines through the buffered KI data points are
linear regressions (y = 8.36 + 0.69x and R2 = 0.94 for [I–] = 1.2 ×10–6 M; y = 8.09
+ 0.68x and R2 = 0.93
for [I–] = 7.9 × 10–7 M).
The error bars reflect the overall uncertainty on the measurements,
including the uncertainty on the spectral fit, averaging and systematic
errors.
Measured I2 emissions at 17 °C as a function
of
ozone concentration for total [I–] = 1.2 ×
10–6 M (filled symbols) and total [I–] = 7.9 × 10–7 M (open symbols) over buffered
KI solutions (black squares), artificial seawater (red circles), subsurface
seawater (blue triangles), and surface microlayer sample (green diamonds).
The I2 measurements from SSW and SML used samples collected
on 04/05/2018, except measurements at [O3] = 38.6 ppbv,
which were done with the samples collected on 15/08/2018, as indicated
by the star symbol on the graph (see Table S2 for more details); variability in the organic content of the natural
SSW and SML samples might explain why the I2 emissions
recorded at 38.6 ppbv O3 lie below the trend of the data
points at other O3 concentrations. The dotted lines are
straight segments that join the data points, meant to guide the eye.
The heavy dashed black lines through the buffered KI data points are
linear regressions (y = 8.36 + 0.69x and R2 = 0.94 for [I–] = 1.2 ×10–6 M; y = 8.09
+ 0.68x and R2 = 0.93
for [I–] = 7.9 × 10–7 M).
The error bars reflect the overall uncertainty on the measurements,
including the uncertainty on the spectral fit, averaging and systematic
errors.Several factors could contribute
in explaining the reduction in
I2 emissions from AS compared to buffered KI solutions.
Magi et al.[27] estimated that O3 diffusivity decreases by 12% in a 3 M sodium iodide solution compared
to pure water, but the resulting effect on the uptake of ozone (<6%)
is negligible compared to the 3× differences we observed between
KI and AS at our much lower salt concentrations. Based on these results
and because diffusivity is difficult to predict, changes in diffusivity
are generally ruled out as an important factor in the uptake of ozone.[33] However, it is well documented that increased
salinity almost always decreases the solubility of gases through the
so-called “salting-out effect”.[57] We calculated the solubility of ozone under our experimental conditions
at 17 °C for KI and AS solutions following the approach
in Moreno et al.[33] For the highest iodide
concentration used here ([I–] = 1.6 × 10–5 M), the calculated solubility of ozone is 1.15 ×
10–7 M atm–1 in a solution of
KI and 1.01 × 10–7 M atm–1 in AS, representing a decrease of 12%. This higher solubility of
ozone in a solution of KI compared to AS alone cannot explain our
observed differences in I2 emissions. Additional reactions
of ozone with Br– and Cl– could
become important at ozone concentrations substantially above what
our study used, although the interfacial model does not predict this
nonlinear behavior for I2 emissions. Other reasons for
the reduced I2 emissions from AS compared with buffered
KI solutions will be explored in detail in the model result section.
Natural Seawater Samples
Substantial reductions in
I2 emissions were observed over subsurface seawater and
surface microlayer samples compared to AS and KI solutions. This confirms
the reduction of iodine emissions in the presence of organics reported
in previous studies of the reaction of ozone with iodide[19,40,43] and shows, for the first time,
a further reduction over SML samples. Figure compares emissions observed over all four
types of solution as a function of [I–]. Two different
samples were used for these experiments, as indicated by the star
symbol in Figure (further
details in Table S2). For all ozone concentrations
(20–145 ppbv), I2 was below the BBCEAS detection
limit over SSW or SML (containing natural [I–] of
1.04 to 1.53 × 10–7 M, see Table S2). However, I2 was detected from SSW and
SML after the addition of relatively small amounts of iodide ([I–]total ≥ 2.98 × 10–7 M, i.e., approximately double the naturally occurring [I–]), even at 38 ppbv ozone (typical of mid-ocean ambient O3 concentrations).Figures and 1B both clearly show that
I2 emissions over SML samples are lower than those over
SSW samples by an average of 65 ± 4% (and by up to a maximum
of 83%), and the reduction is similar for both sampling dates (Figure S3). A further experiment at [O3] = 36 ppbv with a mixture of SML/SSW (20/80 by volume; gold symbols
in Figure B) showed
I2 emission intermediate between the “pure”
SSW and SML results. Interestingly, the I2 fluxes from
this mixed sample were 38% lower (averaged over all [I–] data) than the emissions expected from a simple 20:80 weighted
average of the emissions from pure SML and pure SSW, which could indicate
that organics from the minor SML component preferentially partitioned
to the air–liquid interface where I2 emissions are
more efficiently suppressed. As discussed later, we attribute the
substantially decreased emissions from the SML compared to the SSW
to the enrichment of organics in the SML. However, I2 emissions
from different sets of the SML/SSW samples did not necessarily show
the expected relationships with the presence of organics. For example,
the SML and SSW samples from 15/08/18 (Table S2) had lower [DOC] and higher surface tension than the SML sample
from 04/05/18, yet showed approximately 63% lower emission over SML
compared to SSW collected on the same day. Detailed chemical analysis
of a large number of SML and SSW samples (preferably collected from
different geographical locations), which is beyond the scope of this
present study, would be required to identify groups or individual
compounds most involved in this reduction.Similar to the artificial
solutions, increasing ozone concentrations
over natural seawater samples led to higher I2 emissions
(Figure ) in a generally
linear trend. The emissions from SSW with [O3] = 38.6 ppbv
seem to be lower than the general trend observed across the other
ozone concentrations, but this sample was collected on a different
date (15/08/18) than the samples used to determine I2 emissions
from other ozone concentrations (04/05/18), which might explain the
difference observed. More observations over natural samples are needed
to further disentangle the relation between particular types of DOC,
surface tension, and their effects to reduce I2 emissions.
Halocarbon Emissions over Artificial and Natural Seawater
A separate set of experiments monitored emissions of halocarbons
from the reaction of ozone at the surface of artificial solutions
(buffered KI solution and AS) and natural samples (SSW, SML). Although
no organic material was added, some production of halocarbons was
observed upon the ozonolysis of artificial solutions, despite having
purged the solution with N2. Without ozone, the emissions
were close to or below the LoD, and therefore these zero ozone experiments
were used as blanks. For the natural seawater samples, halocarbon
emissions without ozone were mostly below the LoD, and where they
were above, they were an order of magnitude smaller than with ozone.The most abundant halocarbon produced from exposing natural and
artificial samples to ozone was methyl iodide (CH3I); this
was the only volatile organic iodine (VOI) compound that was consistently
emitted. Other halocarbons observed above their LoDs were CH2ClI, C2H5I, 1-C3H7I,
2-C3H7I, CHBr2Cl, and CH2Br2, although the latter two were only observed for the
highest ozone concentrations (1 ppmv) over natural samples. The summed
total of these compounds represents less than 10% of the total VOI
flux; the other >90% is CH3I. The 11 different volatile
organic iodine compounds monitored (see Section S1.8 and Table S3 in the SI) were not all emitted from all
4 types of solutions, and different compounds showed different trends
for KI, AS, SSW, and SML. But overall, the highest VOI emissions were
seen when ozone reacted with the SML samples and increased with increasing
ozone. CH2I2 and CH2BrI were not
observed above their LoDs and, due to a high background, CHBr3 was not significantly observed either.Due to the complexity
of the product distribution and the small
flux for each compound individually, we focus only on the summed total
of the VOI. Figure shows the VOI emissions measured over the four different types of
solutions for two ozone concentrations, both substantially above ambient
[O3], but at iodide concentrations relevant for ambient
seawater. The VOI emissions show no clear trend with increasing iodide
concentrations. The emissions after exposure to 400 ppbv of ozone
(Figure A) are rather
similar for the different solutions. However, VOI emissions are clearly
higher for the 1 ppmv ozone experiments over the natural samples,
particularly SML (Figure B). A maximum flux of VOI emitted = 5.7 ×
107 molecules cm–2 s–1 was measured over the SML sample exposed to 1 ppmv of ozone with
[I–] = 1.2 × 10–7 M (i.e.,
without adding further iodide). Nevertheless, this peak VOI flux is
still small compared to the inorganic I2 fluxes reported
in the previous sections, where much lower ozone concentrations were
used. For example, a comparable flux of iodine of I emitted = 3.0 × 107 atoms cm–2 s–1 (due to I2 emitted = 1.5 × 107 molecules
cm–2 s–1) was observed over a
surface microlayer sample with [I–] = 4.5 ×
10–7 M exposed to only 38.5 ppbv of ozone (Figure ). Clearly, the VOI
flux will represent only a small fraction of the total iodine flux
at environmentally relevant ozone concentrations. Using the interfacial
model to estimate emission fluxes at [O3] = 400 ppbv over
SML with [I–] = 1 to 4.3 × 10–7 M, we calculate I2 emitted = 50 to 193 × 107 molecules cm–2 s–1 and
HOIemitted = 2.2 to 8.3 ×109 molecules
cm–2 s–1. Correspondingly, the
observed VOI fluxes from SML for 400 ppbv O3 (1.5 to 2.6
× 107 atoms cm–2 s–1 in Figure A) represent
between 2.5 and 0.4% of the emissions of iodine atoms from I2 and VOI and only 0.1 to 0.8% of the total iodine flux (VOI + 2 ×
I2 +HOI). Thus, we conclude that VOI emissions make a
negligible contribution to the total iodine flux.
Figure 3
Measured total volatile
organic iodine emissions as a function
of iodide concentration over buffered KI solution (black squares),
artificial seawater (red circles), subsurface seawater (blue triangles),
and surface microlayer (green diamonds) samples at 20 °C for
(A) [O3]= 400 ppbv (filled symbols) and (B) [O3]= 1 ppmv. The dotted lines are straight segments between the points,
meant to guide the eye. The error bars reflect the uncertainty on
the quantification of the halocarbons.
Measured total volatile
organic iodine emissions as a function
of iodide concentration over buffered KI solution (black squares),
artificial seawater (red circles), subsurface seawater (blue triangles),
and surface microlayer (green diamonds) samples at 20 °C for
(A) [O3]= 400 ppbv (filled symbols) and (B) [O3]= 1 ppmv. The dotted lines are straight segments between the points,
meant to guide the eye. The error bars reflect the uncertainty on
the quantification of the halocarbons.
Interfacial Model Results and Discussion
Figure shows a comparison of the
model results and I2 emissions observed from the four different
types of solutions used in this study at atmospherically relevant
ozone concentrations.
Figure 4
Observations (symbols) and modeling (lines) of I2 emissions
at 17 °C as a function of I– concentration
from buffered KI solutions (gray), artificial seawater (red), subsurface
seawater (green), and surface microlayer (blue) for ozone concentrations
of 22.7, 34.7, 38.6, and 38.5 ppbv, respectively. The error bars reflect
the overall uncertainty on the measurements. The plot extends the
calculation of the modeled I2 emissions back to an iodide
concentration of 1.5 × 10–7 M, typical of natural
oceanic surface iodide concentrations.
Observations (symbols) and modeling (lines) of I2 emissions
at 17 °C as a function of I– concentration
from buffered KI solutions (gray), artificial seawater (red), subsurface
seawater (green), and surface microlayer (blue) for ozone concentrations
of 22.7, 34.7, 38.6, and 38.5 ppbv, respectively. The error bars reflect
the overall uncertainty on the measurements. The plot extends the
calculation of the modeled I2 emissions back to an iodide
concentration of 1.5 × 10–7 M, typical of natural
oceanic surface iodide concentrations.
Artificial
Solutions
The interfacial model was first
used to predict iodine emissions over buffered KI solutions, and the
full dataset is shown in Figure S4A. The
model captures the trends of I2 emissions with O3 and with I– well, although it tends to underestimate
the iodine flux at low [O3].Modeled emissions over
artificial seawater are compared to the observations in Figure S4B. Note that, as discussed in the methods
section, a completing oxidation reaction of HOI (to iodate) by HOCl/OCl– was incorporated into the model to account for the
∼50% decrease in I2 emissions observed in AS compared
to equivalent KI solutions. Although the model somewhat underpredicts
I2 emitted at low O3, overall the model shows
skill in matching the observations. The experimental emissions for
the lowest [I–] (black points, Figure S4) are close to the LoD, yet the modeled I2 flux falls within the observational uncertainty.
Natural Seawater
Samples
As detailed in the experimental
results section, a substantial reduction in iodine emissions was observed
from natural samples compared to artificial seawater and KI solutions.
Previous studies on the reaction of gas-phase ozone with iodide solutions
have established that I2 emissions are reduced in the presence
of organics.[19,40,43] All of these studies attributed the reduction to a suppression of
the liquid–gas transfer rate of I2. Shaw and Carpenter[43] found that emissions were increasingly suppressed
by DOC, by up to a factor of two, at ratios of [DOC]:[iodide] representative
of their ambient reactivities to O3(g). Qualitatively,
this is consistent with the reduction we observed in the SSW samples.Using the same (but unmodified) interfacial model as we use in
this study, Shaw and Carpenter[43] showed
that neither DOC competing with I– to react with
interfacial O3 nor direct loss of I2 and/or
HOI through reaction with DOC could fully explain the reduction of
I2 emissions from SSW. Instead, they proposed a reduction
in the net liquid–gas transfer rate of I2 in SSW.
Nevertheless, the reduction of the I2 liquid–gas
transfer rate is a hypothesis that has hitherto not been explored
in detail. Iodine (I2) is a nonpolar molecule and is many
times more soluble in organic solution than in water; for example,
iodine has an octanol–water partition coefficient KOW of 309.[58] An estimate of
the octanol–air partition coefficient (KOA) of I2 can be made by assuming KOA = KOW/KAW, where KAW is the air–water
partition coefficient for I2.[59] Translated into the equations for mass transfer of I2 under our laboratory conditions, the liquid–air mass transfer KT of I2 from a pure octanol monolayer
would be reduced by a factor of 99.3 compared to that from a purely
aqueous solution at room temperature. We found that reducing the model’s
aqueous–air mass transfer term of I2 at 17 °C
from 1.04 × 10–6 to 4 × 10–7 s–1 (i.e., ∼40% of the pure water transfer
term) produced a good agreement between the model and the SSW observations
(see Figure S5A and further details in
section 1.9 of the SI). Thus, assuming that the reduction in I2 emissions was entirely due to its increased solubility in
the more organic-rich seawater than in pure water, this equates to
an enhancement of I2 solubility in seawater of about a
factor of 6 (i.e., to ∼0.2 g/kg at 20 °C) compared to
its value in pure water (0.03 g kg–1 at 20 °C).
Note that, while changes in solubility can explain the mass transfer
of iodine under the still, laboratory conditions of the experiments
presented here, additional factors caused by surfactants, such as,
e.g., physical suppression of near surface mixing, might influence
emissions under real-world conditions.To explore the role of
chemistry in reducing the I2 emissions,
we modeled the loss of I2 and HOI through their reactions
with DOC, as described in Materials and Methods. Including such chemistry had a negligible (<2%) impact on the
I2 emissions from SSW. This result strengthens our conclusion
that I2 emissions are reduced in seawater compared to artificial
seawater due to the enhanced solubility of I2, rather than
by its chemical loss.I2 emissions from SML samples
were typically a factor
of 3–4 times lower than from subsurface seawater. The SML I2 emissions were modeled satisfactorily, as shown in Figure S5B, by further reducing the aqueous–air
mass transfer term for I2 to 1 × 10–7 s–1 (i.e., now only 10% of the pure water transfer
term). This corresponds to the solubility of I2 in the
SML being around 5 times higher than in SSW, at around 1 g kg–1 at 20 °C.Figure shows how
the model performs well to predict iodine emissions from the natural
samples over iodide concentrations up to 4 × 10–6 M for ambient ozone conditions. As the concentration of iodide in
the open seawater generally ranges between 10 and 150 × 10–9 M,[25] this interfacial
model can be a useful tool for predicting marine iodine emissions.
Volatile Organic Iodine Emissions
I2 and
HOI reactions with DOC were included in the model to explore whether
such chemistry could broadly explain the VOI emissions from the SML
following the O3(g) + I(aq)– reaction. We assumed a pseudo-first-order
rate constant for the reaction of I2 and HOI with DOC of
7 × 10–3 s–1 (see Materials and Methods), a 100% yield of VOI products
(initially), and that VOI that is mixed downward out of the reacto-diffusive
depth layer into the bulk is irreversibly lost, equivalently to I2 and HOI. This gives a lower limit to the potential VOI emissions,
since, unlike I2 and HOI that react rapidly away in the
bulk waters, some fraction of VOI molecules mixed down from the surface
will persist long enough to be re-emitted. Nevertheless, this simple
scenario produced VOI emissions an order of magnitude greater than
we observed. However, it is known that reduction of I2 and
HOI emissions by DOC also leads to the formation of dissolved organic
iodine (DOI), which was not monitored in our experiments, and reforms
I– (e.g., ref (54, 60)). We found that setting the VOI yield (from reaction of I2 and HOI with DOC) to 5–10% gave the correct order of magnitude
for the VOI emissions (1 to 4 × 107 molecules cm–2 s–1 total VOI for [I–] between 1 and 4 × 10–7 M, Figure S6) and VOI fluxes scaled with the gaseous O3 concentration, as found experimentally (previous section, Figure ). However, the model
predicted an increase in VOI emissions as [I–] increased
from 1 to 4 × 10–7 M, whereas the observed
VOI emissions from the SML in Figure actually declined; modeled VOI emissions only decline
above [I–]> ∼ 1 × 10–5 M (Figure S6). Modeled VOI emissions
as a fraction of the total iodine emissions (VOI + 2 × I2 +HOI) decreased strongly with increasing [I–], which is likely due to the I2 + I– reaction competing with I2 +DOCas [I–] increases.
Environmental Implications
Our experiments
show a clear
reduction of molecular iodine emissions from the O3(g) +
I(aq)– reaction in seawater (compared to iodide solutions containing no
added organics) over a broad range of iodide and ozone concentrations,
confirming previous results.[23,43,55,61] For the first time, this reduction
in I2 is demonstrated to be larger for surface microlayer
samples than for subsurface seawater samples. Unfortunately, there
are very few observations of ambient open-ocean I2 with
which to compare our results. Lawler et al.[61] inferred an I2 flux around 2.0 × 107 molecules
cm–2 s–1 from measurements of
night-time I2 at Cape Verde ([O3] = 25 to 45
ppbv); however, the same paper invoked range of I2 fluxes
7 × 106 molecules cm−2 s−1 to 8.7 × 107 molecules cm−2 s to model the diurnal cycles observed for
I2 and IO. Under similar conditions ([O3] =
38.5 ppbv, assuming oceanic [I–] = 1.5 × 10–7 M), the interfacial model constrained by our present
measurements gives I2 fluxes of 5.5 × 106 molecules cm–2 s–1 for SSW and
1.4 × 106 molecules cm–2 s–1 for SML (extrapolated lines in Figure ). Although our SML result is clearly lower,
our SSW result is close to the lowest I2 fluxes considered
by Lawler et al. Interestingly, our SML result agrees well with the
I2 fluxes (1.4 to 2.5 × 106 molecules cm–2 s–1) reported from the early laboratory
study of Garland and Curtis[23] on natural
seawater “from the Dorset coast, U.K.” (assumed [I–] = 12.5 μg dm–3 = 1.0 ×
10–7 M, [O3] = 35 ppbv).The presence
of organics in natural seawater resulted in a very small flux of halocarbons,
mainly CH3I, formed from chemistry subsequent to the surface
reaction of ozone. The interfacial model predicts that the VOI flux
makes its biggest relative contribution to the total iodine flux at
low iodide concentrations (red line Figure S6), nevertheless the VOI emissions remain a negligible fraction (<5%)
of the total iodine (VOI + 2 × I2 +HOI) emissions
for iodide concentrations relevant to environmental conditions.We show that the observed reduction of I2 emissions
is likely to be due to the increased solubility of I2 in
the organic-enriched seawater (compared to artificial seawater or
buffered KI solutions). Our results are consistent with the solubility
of I2 being a factor of 6 higher in SSW and ×30 higher
in SML, compared to pure water. We calculated enrichment factors (EF),
defined as the ratio of the SML over the SSW, based on the concentration
of [DOC] (EF[DOC]) or on the surface pressure (EFπ). These can be used as an indication of the enrichment at the surface
(see sections 1.4 & 1.5 of the SI and Table S2). The EF[DOC] = 0.9 to 2.3 does not reflect the
inferred factor of 5 difference in I2 solubility between
the SML and SSW. However, this difference in solubility does fall
in the range of EFπ = 4.3 to 8.1 and hence seems
more related to changes in the surface tension. More data are needed
to confirm this relationship. This solubility effect may not result
in reduced HOI emissions and may even lead to enhanced HOI emissions
from organic-enriched seawater because HOI is very water-soluble.
Experiments are highly desirable to confirm or otherwise this hypothesis.
Authors: Katie A Read; Anoop S Mahajan; Lucy J Carpenter; Mathew J Evans; Bruno V E Faria; Dwayne E Heard; James R Hopkins; James D Lee; Sarah J Moller; Alastair C Lewis; Luis Mendes; James B McQuaid; Hilke Oetjen; Alfonso Saiz-Lopez; Michael J Pilling; John M C Plane Journal: Nature Date: 2008-06-26 Impact factor: 49.962
Authors: Theodore K Koenig; Sunil Baidar; Pedro Campuzano-Jost; Carlos A Cuevas; Barbara Dix; Rafael P Fernandez; Hongyu Guo; Samuel R Hall; Douglas Kinnison; Benjamin A Nault; Kirk Ullmann; Jose L Jimenez; Alfonso Saiz-Lopez; Rainer Volkamer Journal: Proc Natl Acad Sci U S A Date: 2020-01-13 Impact factor: 11.205
Authors: Carolina G Moreno; Oscar Gálvez; Vicente López-Arza Moreno; Eva María Espildora-García; María Teresa Baeza-Romero Journal: Phys Chem Chem Phys Date: 2018-11-07 Impact factor: 3.676
Authors: Carlos A Cuevas; Niccolò Maffezzoli; Juan Pablo Corella; Andrea Spolaor; Paul Vallelonga; Helle A Kjær; Marius Simonsen; Mai Winstrup; Bo Vinther; Christopher Horvat; Rafael P Fernandez; Douglas Kinnison; Jean-François Lamarque; Carlo Barbante; Alfonso Saiz-Lopez Journal: Nat Commun Date: 2018-04-13 Impact factor: 14.919
Authors: Rosie J Chance; Liselotte Tinel; Tomás Sherwen; Alex R Baker; Thomas Bell; John Brindle; Maria Lucia A M Campos; Peter Croot; Hugh Ducklow; He Peng; Frances Hopkins; Babette Hoogakker; Claire Hughes; Timothy D Jickells; David Loades; Dharma Andrea Reyes Macaya; Anoop S Mahajan; Gill Malin; Daniel Phillips; Ieuan Roberts; Rajdeep Roy; Amit Sarkar; Alok Kumar Sinha; Xiuxian Song; Helge Winkelbauer; Kathrin Wuttig; Mingxi Yang; Zhou Peng; Lucy J Carpenter Journal: Sci Data Date: 2019-11-26 Impact factor: 6.444
Authors: Lucy J Carpenter; Rosie J Chance; Tomás Sherwen; Thomas J Adams; Stephen M Ball; Mat J Evans; Helmke Hepach; Lloyd D J Hollis; Claire Hughes; Timothy D Jickells; Anoop Mahajan; David P Stevens; Liselotte Tinel; Martin R Wadley Journal: Proc Math Phys Eng Sci Date: 2021-03-03 Impact factor: 2.704