Brandon Bottorff1,2, Chen Wang3,4, Emily Reidy1, Colleen Rosales2,5, Delphine K Farmer6, Marina E Vance7, Jonathan P D Abbatt3, Philip S Stevens1,2. 1. Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States. 2. O'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, Indiana 47405, United States. 3. Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, Canada. 4. School of Environment Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China. 5. Air Quality Research Center, University of California Davis, Davis, California 95616, United States. 6. Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States. 7. Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado 80309, United States.
Abstract
Despite its importance as a radical precursor and a hazardous pollutant, the chemistry of nitrous acid (HONO) in the indoor environment is not fully understood. We present results from a comparison of HONO measurements from a time-of-flight chemical ionization mass spectrometer (ToF-CIMS) and a laser photofragmentation/laser-induced fluorescence (LP/LIF) instrument during the House Observations of Microbial and Environmental Chemistry (HOMEChem) campaign. Experiments during HOMEChem simulated typical household activities and provided a dynamic range of HONO mixing ratios. The instruments measured HONO at different locations in a house featuring a typical air change rate (ACR) (0.5 h-1) and an enhanced mixing rate (∼8 h-1). Despite the distance between the instruments, measurements from the two instruments agreed to within their respective uncertainties (slope = 0.85, R2 = 0.92), indicating that the lifetime of HONO is long enough for it to be quickly distributed indoors, although spatial gradients occurred during ventilation periods. This suggests that emissions of HONO from any source can mix throughout the house and can contribute to OH radical production in sunlit regions, enhancing the oxidative capacity indoors. Measurement discrepancies were likely due to interferences with the LP/LIF instrument as well as calibration uncertainties associated with both instruments.
Despite its importance as a radical precursor and a hazardous pollutant, the chemistry of nitrous acid (HONO) in the indoor environment is not fully understood. We present results from a comparison of HONO measurements from a time-of-flight chemical ionization mass spectrometer (ToF-CIMS) and a laser photofragmentation/laser-induced fluorescence (LP/LIF) instrument during the House Observations of Microbial and Environmental Chemistry (HOMEChem) campaign. Experiments during HOMEChem simulated typical household activities and provided a dynamic range of HONO mixing ratios. The instruments measured HONO at different locations in a house featuring a typical air change rate (ACR) (0.5 h-1) and an enhanced mixing rate (∼8 h-1). Despite the distance between the instruments, measurements from the two instruments agreed to within their respective uncertainties (slope = 0.85, R2 = 0.92), indicating that the lifetime of HONO is long enough for it to be quickly distributed indoors, although spatial gradients occurred during ventilation periods. This suggests that emissions of HONO from any source can mix throughout the house and can contribute to OH radical production in sunlit regions, enhancing the oxidative capacity indoors. Measurement discrepancies were likely due to interferences with the LP/LIF instrument as well as calibration uncertainties associated with both instruments.
Entities:
Keywords:
indoor air chemistry; indoor air pollution; indoor emissions; photolysis; radical production; ventilation
Nitrous acid (HONO) plays an important
role in the chemistry of
the atmosphere. Photolysis of HONO can lead to the production of hydroxyl
radicals (OH), the dominant oxidant in the outdoor atmosphere (R1).
In the presence of NO, reactions of OH
with volatile organic compounds (VOCs) establish a fast radical propagation
cycle that can produce harmful secondary pollutants. While ozone photolysis
can be a significant source of OH throughout the day,[1,2] several studies have suggested that the photolysis of HONO (R1)
can be a significant and often dominant source of OH in the outdoor
atmosphere, contributing up to 40% of total radical production in
several summer studies[3−6] and more than 80% in some winter campaigns.[7−9] As such, understanding
HONO chemistry is essential to characterizing the overall oxidative
capacity of the atmosphere.HONO is also an important indoor pollutant,
with mixing ratios that are often much higher than outdoors. Lee et
al. measured outdoor HONO mixing ratios of 0.9 ppb compared to 4.6
ppb within nearby buildings,[10] and Leaderer
et al. measured HONO mixing ratios of 0.3 ppb outdoors compared to
4.0 ppb within residences that utilized gas stoves.[11] Furthermore, other measurements have shown that indoor
HONO mixing ratios can reach 20–90 ppb during cooking or other
combustion events.[12−15] While combustion within the indoor environment is a primary source
of HONO, recent studies have shown that abundant interior surfaces
provide an important reservoir for HONO.[16−18] Several studies
have shown that elevated HONO mixing ratios could result in OH radical
concentrations comparable to those found outdoors, despite attenuation
from glass windows resulting in reduced photolysis frequencies that
limit OH production by primary photolytic processes.[12,19−21]Despite its importance as an indoor health
hazard and a precursor
to radical concentrations, the emissions and chemistry of indoor HONO
are still not fully understood, in part due to the challenge associated
with accurate measurements of HONO.[22] Sampling
artifacts from the heterogeneous formation of HONO inside inlet lines
or on surfaces are a common concern for many instruments, and interferences
from other species such as NO2 and peroxyacetyl nitrate
(PAN) must be considered.[23,24] Current instruments
use a variety of techniques, including reducing residence times and
minimizing surfaces to reduce inlet artifacts, and the use of secondary
channels to quantify interferences.[22,24,25]There have been several recent intercomparisons
of HONO measurements
in outdoor settings.[23,26−29] Discrepancies between the measurements
have been attributed to interfering species, saturation effects of
some instruments at higher concentrations, or spatial heterogeneity
due to nearby HONO sources and distance between inlets.[27−29] During the Study of Houston Atmospheric Radical Precursors (SHARP)
campaign, which involved six different HONO instruments, Pinto et
al.[28] noted that the agreement between
instruments with co-located inlets was better than that for instruments
that were spatially separated by several meters, suggesting that various
sources of HONO could cause spatial differences in outdoor HONO concentrations.In contrast, there have been no previous intercomparisons of HONO
measurements in residential environments. Indoor instrumental intercomparisons
not only provide a test of advanced measurement techniques but can
also provide important information on the spatial and temporal distribution
of indoor emissions, especially reactive emissions such as HONO. A
recent computational fluid dynamics (CFD) study suggested that HONO
concentrations from a combustion source would be relatively evenly
distributed in a representative indoor setting, but OH and HO2 radical production from HONO photolysis would be confined
to sunlit areas.[30] On the other hand, it
has been shown that HONO formation through heterogeneous reactions
of surface NO2 can be enhanced in sunlit regions of the
indoor environment.[31−33] Measurements of the production of HONO from light-induced
heterogeneous reactions of NO2 with grime adsorbed on glass
windows suggest that indoor HONO concentrations may be greater in
sunlight kitchen areas compared to other indoor areas.[34]Given the importance of HONO to OH radical
production, measurements
of the spatial distribution of HONO emissions indoors are needed to
fully understand the oxidative capacity of indoor environments. In
this paper, we describe HONO measurements from within a house by two
different instruments that sampled indoor air at two different locations:
a laser photofragmentation/laser-induced fluorescence (LP/LIF) instrument
and a time-of-flight chemical ionization mass spectrometer (ToF-CIMS).
The measurements were conducted as part of the House Observations
of Microbial and Environmental Chemistry (HOMEChem) study, during
which a variety of cooking, cleaning, occupation, and ventilation
experiments resulted in a dynamic range of HONO mixing ratios. The
measurements also provided information on the spatial distribution
and lifetime of HONO concentrations in a typical indoor environment.
While Wang et al.[18] presented a detailed
discussion of processes affecting HONO mixing ratios during HOMEChem,
this paper focuses on the first intercomparison between simultaneous
measurements from two different locations in a house, and the associated
implications for spatial gradients of HONO in indoor spaces.
Experimental
Methods
HOMEChem Study
The HOMEChem study was a large-scale
collaborative field study designed to investigate the chemical transformations
within a residential environment during a variety of realistic household
events.[35] HOMEChem took place in June 2018
at the UTest House within the J.J. Pickle Research Campus of the University
of Texas at Austin (Figure ). The house is a 111 m2, three-bedroom, two-bathroom
manufactured home with two separate heating ventilation and air-conditioning
(HVAC) systems with underfloor and overhead air diffusers. However,
only the overhead system was utilized to provide more rapid mixing
during air-conditioning. During the campaign, the fan in the HVAC
system operated continuously and moved air at a rate of 2000 m3/h (approximately 8 house volumes per hour) to provide consistent
mixing in the house throughout the campaign. A separate system also
delivered a constant flow of outdoor air, which provided an average
air change rate (ACR) of 0.5 ± 0.1 h–1 when
the doors and windows were closed. The house thermostat was typically
set at 25 °C during the campaign, with exceptions made for some
experiments.
Figure 1
Floorplan of the UTest house with the CIMS (blue) and
LP/LIF (red)
sampling locations highlighted.
Floorplan of the UTest house with the CIMS (blue) and
LP/LIF (red)
sampling locations highlighted.Experiments were separated into several day-long
categories with
a focus on sequential experiments, layered experiments, and Thanksgiving
simulations. Sequential experiments consisted of several cooking,
cleaning, occupancy, or ventilation events throughout the day and
were designed to provide repeatable tests to examine the emissions
and chemical processes following isolated activities. After sequential
cooking, cleaning, and occupancy events, a period of time was allowed
to observe chemical activity, and then the doors and windows of the
house were opened to provide enhanced ventilation prior to the next
repetition of the experiment. Layered days consisted of multiple occupants
performing both cooking and cleaning events on the same day without
ventilation periods. Layered days were designed to simulate a typical
day in a residential setting and to examine the combined effects of
different types of emissions over an extended period. Thanksgiving
experiments consisted of prolonged cooking periods and several occupants
to simulate a typical North American holiday setting. All of the measurements
and experiments performed during HOMEChem, along with a complete description
of test house conditions, are described elsewhere.[35]
The laser photofragmentation/laser-induced fluorescence
(LP/LIF)
instrument has been described in detail elsewhere,[36] thus only a brief description will be given here. The LP/LIF
technique detects HONO after expansion of ambient air into a low-pressure
cell by photolysis into OH and NO fragments via a 355 nm laser emission,
and subsequent detection of the OH fragment by laser-induced fluorescence
at 308 nm. The photofragmentation laser system consists of Spectra
Physics Navigator II YHP40-355 HM neodymium-doped yttrium aluminum
garnet (Nd:YAG) laser that produces approximately 3–4 W of
radiation at 355 nm at a repetition rate of 10 kHz, and the excitation
laser system consists of a Spectra Physics Navigator YHP40-532 Nd:YAG
laser that produces 7–8 W of radiation at 532 nm. This laser
pumps a Sirah Credo dye laser to produce approximately 40–100
mW of radiation at 308 nm. During HOMEChem, both laser systems were
housed in a trailer adjacent to the test house and laser emissions
were propagated to the sampling cell by 12 m fiber optic cables, and
the low-pressure sampling cell was placed in the UTest house living
room near the western-facing glass windows (Figure ). These windows received direct sunlight
on most days between 17:00 and 19:00 local time.Ambient air
is drawn into the low-pressure sampling cell through a flat 1 mm diameter
pinhole inlet and expanded into the sampling cell. The cell is maintained
at a pressure of approximately 0.25 kPa to reduce quenching of the
OH fluorescence by ambient air and thus increase the OH radical fluorescence
lifetime. Sampling through the flat inlet into the low-pressure cell
also effectively minimizes the potential for inlet artifacts caused
by the formation of HONO on inlet lines or instrument surfaces. After
exiting their respective fiber optic cables, the 355 and 308 nm laser
emissions are spatially joined by a dichroic mirror before entering
the detection cell. The laser pulses are temporally separated, with
the 308 nm pulse entering the detection cell 100 ns after the 355
nm pulse. Fluorescence from the OH radical fragment is collected at
right angles to both the sampled air stream and the laser emissions
and detected using a micro-channel plate (MCP) photomultiplier tube
(Photek PMT325) and a time-gated detection scheme.[36]To distinguish ambient OH fluorescence from background
signals,
wavelength modulation is used to tune the 308 nm dye laser emission
on- and off-resonance with the Q1(3) transition of OH at
308.1451 nm. The net signal from OH fluorescence is derived by subtracting
the on-resonance signal from the background, which is composed primarily
of scattered laser radiation that extends into the detection window.
To differentiate OH fluorescence signals due to HONO photofragmentation
from those due to ambient OH radicals, the 355 nm fragmentation laser
is cycled on and off with the use of a shutter.The LP/LIF instrument
calibration consists of two stages. First,
the instrumental sensitivity to OH (ROH) is determined via the ultraviolet (UV) photolysis of water vapor
at 185 nm that has been described in detail previously.[37] This calibration was conducted before, during,
and after the HOMEChem campaign. With a known sensitivity toward OH,
measurements of the photolysis efficiency (PE) of the 355 nm laser
allow the determination of the instrumental sensitivity toward HONO.[36] A known amount of OH and HO2 is produced
within the calibration source and an excess of NO is added to convert
OH and HO2 in the calibrator to HONO. When the 355 nm photolysis
laser is turned on, a portion of HONO is converted back to OH in the
sampling cell. The photolysis efficiency is defined as the ratio of
OH signal from photo-fragmented HONO to the sum of OH and HO2 produced by the calibrator. While typical PE calibrations introduce
a maximum of 2 ppb of HONO into the detection cell, the MCP detector
response during direct OH calibrations remains linear at OH mixing
ratios as high as 1 ppb. Only a small fraction (0.34%) of HONO is
photolyzed by the 355 nm laser, suggesting a linear response to HONO
mixing ratios of at least 300 ppb. Photolysis efficiency calibrations
were conducted before and after the campaign to avoid adding NO from
the calibration procedure into the house. During the campaign, 355
and 308 nm laser powers within the sampling cell averaged 1.4 W and
3.0 mW respectively. This resulted in an instrumental sensitivity
to OH of approximately 2.75 × 10–8 counts/s/cm3/mW and a measured photolysis efficiency of 0.34%. The limit
of detection for HONO was approximately 9 ppt (S/N = 1, 10 min average)
based on the standard deviation of the background signal.[36,38] The overall calibration uncertainty during HOMEChem was approximately
±35% primarily due to the precision of the measurement of the
photofragmentation efficiency (±25%). As discussed below, the
precision of the measurement varied between approximately 20 and 30%
during the campaign due to variations in laser power, alignment, and
wavelength that impacted the on-line signal.
Chemical Ionization Mass
Spectrometry Instrument
The
chemical ionization mass spectrometry (CIMS) instrument was operated
from a second trailer adjacent to the test house. Instrumental details
including potential interferences and the specific setup at HOMEChem
have been described elsewhere.[16−18] Briefly, the CIMS instrument
utilized acetate as the reagent ion and detected HONO as NO2– in the
mass spectrometer at m/z 45.9. The
mass resolving power (M/ΔM) was approximately 4000 during the campaign. Sampling occurred in
the kitchen of the house (Figure ), approximately 5 m away from the LP/LIF sampling
cell, through a 10 m perfluoroalkoxy (PFA) tube at a flow rate of
2.1 L/min. During the campaign, the potential for HONO formation in
the 10 m inlet tube was investigated by passing indoor air through
an annular denuder containing Na2CO3. With the
denuder scrubbing ambient HONO prior to the 10 m tube, the nitrite
ion signal was reduced to <10% of its initial value, suggesting
that at least 90% of the signal is due to HONO. A three-way solenoid
isolation valve allowed switching between the kitchen inlet, a zero-air
background, and an outdoor inlet for 53, 2, and 5 min of each hour,
respectively. The kitchen area received direct sunlight on most days
between approximately 9:00 and 12:00 local time through the eastern-facing
windows.The CIMS instrument was calibrated before and after
the campaign using a HONO source with an output from 1 to 10 ppb.[16,18] A secondary calibration was also performed on-site each day in which
ambient gaseous HONO was collected in deionized water followed by
aqueous nitrite analysis using an ultraviolet–visible (UV–vis)
spectrophotometric technique.[16] A linear
relationship between the CIMS signal and HONO from this daily calibration
was observed. An averaged sensitivity factor from the primary calibration
method was used for measurements made at the beginning and end of
the campaign, but a sensitivity change required the on-site calibration
technique to be used from June 5 to 17. Furthermore, as previous studies
have shown that CIMS sensitivity can decrease with increasing humidity,
additional calibrations were conducted after the campaign that revealed
only a 10% decrease in sensitivity when relative humidity (RH) was
increased from 10 to 60%. This weak sensitivity dependence on humidity
is similar to that observed by another CIMS instrument that also utilized
acetate as the reagent ion.[39] As the RH
measured inside the house typically varied between 40 and 60% over
the course of the campaign, humidity is not expected to be an important
factor in the acetate-CIMS sensitivity to HONO.High total ion
signals during intense cooking activities reduced
reagent ion signals and required dilution of indoor air on some days.
During these periods, a flow of high-purity nitrogen was added prior
to the CIMS inlet. Data presented below have been corrected for dilution
periods but may be subject to a higher uncertainty than nondilution
periods. Uncertainty of the reported HONO mixing ratios is estimated
to be approximately ±30%. The limit of detection (3σ) of
HONO for the CIMS was determined from the standard deviation during
background (zero air) measurements of the 1 s data and is lower than
50 ppt. The calculated precision of the CIMS when measuring 2.5 ppb
of HONO from a custom-built HONO source was approximately 50 ppt.
Results
General Behavior
A comprehensive time series of all
measurements from the HOMEChem campaign that are considered in the
intercomparison is shown in Figure . As described in Farmer et al.,[35] a variety of unique experiments were performed over the
course of the campaign to analyze the effect of household activities
on trace-gas mixing ratios, particle formation and composition, and
surface chemistry. As gas-phase HONO mixing ratios were most significantly
influenced by cooking, bleach cleaning, and ventilation experiments,
these experiments were chosen as case studies and the measurement
agreement and behavior during these periods is discussed in more detail
below. Measured HONO mixing ratios during these experiments ranged
from as low as 0.2 ppb during a ventilation period to over 100 ppb
during a Thanksgiving cooking experiment. Other factors, including
air conditioner operation, vinegar cleaning, and ozone addition also
influenced HONO concentrations. For a more comprehensive analysis
and discussion of HONO behavior during these experiments, see Wang
et al.[18]
Figure 2
Time series of all HONO measurements during
HOMEChem by the CIMS
instrument (blue) and the LP/LIF instrument (red).
Time series of all HONO measurements during
HOMEChem by the CIMS
instrument (blue) and the LP/LIF instrument (red).
Cooking Experiments
Emissions during propane gas cooking,
both direct emissions of HONO and emissions of NO followed by the subsequent reaction on surfaces, led to
the highest observed mixing ratios of HONO throughout the campaign. Figure illustrates the
measurements during the two simulated Thanksgiving experiments. On
these days (June 18 and 27), four volunteers prepared a large meal
representative of a North American holiday gathering. The gas oven
and stove were used continuously between approximately 9:00 and 15:00
(shaded periods in Figure ) with breaks for breakfast and lunch. Following the cooking
period, approximately 15 occupants entered the house for 1.5 h. As
multiple stovetop burners were operated continuously during the 6–7
h cooking experiment, Thanksgiving Day simulations can ultimately
be described as long duration and high-intensity gas-cooking experiments
followed by a high-occupancy period.
Figure 3
CIMS (blue) and LP/LIF (red) measurements
of HONO from Thanksgiving
experiments on (a) June 18 and (b) June 27. Shaded regions indicate
active propane-cooking periods. A bivariate weighted fit of the data
is also shown with the regression slope (m) and y-intercept (b) (see text).
CIMS (blue) and LP/LIF (red) measurements
of HONO from Thanksgiving
experiments on (a) June 18 and (b) June 27. Shaded regions indicate
active propane-cooking periods. A bivariate weighted fit of the data
is also shown with the regression slope (m) and y-intercept (b) (see text).During the June 18 Thanksgiving experiment, LP/LIF
and CIMS measurements
reached the maximum values observed during the campaign of 128 and
84 ppb, respectively. Decreases in gas-phase HONO mixing ratios after
cooking were faster than the expected loss due to air exchange alone,
likely due to dilution into the rest of the house followed by dilution
from air exchange and deposition to interior surfaces. Prior to the
cooking emissions on this day, background HONO mixing ratios in the
absence of perturbations were approximately 3 ppb (Figure , June 4–17). After
the cooking events on June 18, background HONO mixing ratios remained
above 5 ppb for several days (Figure , June 19–24). These elevated background levels
of HONO are likely due to an enhancement of the surface HONO reservoir
following the intense cooking activities on June 18. During the June
27 Thanksgiving experiment, both instruments observed maximum values
of approximately 50 ppb.The measured mixing ratios of HONO
by both instruments were highly
correlated, with R2 values of at least
0.95 on each day (Figure ). However, the LP/LIF measurements during the June 18 Thanksgiving
experiment were on average 47% higher than the CIMS measurements throughout
the day. The reason for this discrepancy is unclear but may be related
to uncertainties in the sensitivity of the CIMS instrument during
the use of the dilution flow on this day. Another possibility for
the discrepancy is that changes in the alignment of the photofragmentation
laser over the course of the campaign led to a change in the photofragmentation
efficiency of the LP/LIF instrument that was greatest on this day.
In contrast, the measurements during the June 27 experiment were in
excellent agreement during most of the day, with a bivariate least-squares
fit of the data weighted by the precision of both measurements to
account for the uncertainty associated with each, resulting in a slope
of 1.05 ± 0.02 and intercept that is relatively small compared
to the measured HONO mixing ratios. On this day, the CIMS measurements
agreed with the LP/LIF measurements until approximately 17:00 when
the dilution flow was stopped, resulting in the CIMS measurements
appearing to be systematically greater than the LP/LIF measurements.
The reason for this discrepancy is not known but may be due to an
unidentified error associated with the dilution flow impacting the
sensitivity or ion chemistry of the instrument for this period only.Figure shows measurements
of HONO during a sequential cooking experiment. In contrast to the
Thanksgiving experiments, sequential cooking experiments and cooking
events performed on layered days typically utilized a single propane
stove burner and were performed on a shorter timescale (orange-shaded
periods in Figure ). On average, these repeated cooking experiments typically enhanced
HONO mixing ratios by approximately 5 ppb above the background levels,
whereas control experiments, in which the same cooking procedure was
carried out on an electric hotplate (purple-shaded region in Figure ), did not emit HONO.
Similar to the Thanksgiving experiments, the HONO measurements by
the two instruments were in excellent agreement, with a weighted fit
of the data on the June 6 sequential cooking experiment resulting
in a correlation plot with a slope of 0.94 ± 0.03 and an R2 value of 0.90 (Figure ), with y-intercepts that
are very small compared to the measured mixing ratios.
Figure 4
CIMS (blue) and LP/LIF
(red) as well as the ratio of the CIMS and
LP/LIF measurements of HONO from a sequential cooking experiment on
June 6. Shaded areas indicate ventilation (blue) and active propane
(orange) and electric hotplate (purple) cooking experiments. Measurements
during ventilation periods are not included in the correlation (see
text).
CIMS (blue) and LP/LIF
(red) as well as the ratio of the CIMS and
LP/LIF measurements of HONO from a sequential cooking experiment on
June 6. Shaded areas indicate ventilation (blue) and active propane
(orange) and electric hotplate (purple) cooking experiments. Measurements
during ventilation periods are not included in the correlation (see
text).
Bleach Cleaning Experiments
Bleach cleaning experiments
were performed on June 10, a sequential cleaning day, and at the conclusion
of each layered day experiment (June 8, 19, 21, and 25). For each
bleach cleaning experiment, one volunteer prepared a bleach solution
(120 mL of a commercial sodium hypochlorite solution in 2.3 L of tap
water) according to manufacturer instructions before applying the
solution to the floors of the house with a sponge mop for 10 min.
The measurements of HONO during the June 10 sequential bleach cleaning
and the June 19 layered experiment are shown in Figure . As described in Wang et al.,[18] gas-phase HONO mixing ratios typically dropped
quickly after each bleach episode. This is likely due to the dissolution
of gas-phase HONO into the basic bleach solution followed by the reaction
of nitrite on surfaces with reactive chlorinated species deposited
within the bleach solution,[40] such as the
reaction of surface nitrite with hypochlorous acid (HOCl) producing
ClNO2.[41] As this reaction removes
surface nitrite, it may influence partitioning between gas-phase HONO
and nitrite in surface reservoirs. HOCl likely moves from the washed
surfaces through the air to partition to all other surfaces in the
house, impacting the partitioning of HONO on all surfaces in the house,
although additional measurements are needed to confirm this.
Figure 5
CIMS (blue)
and LP/LIF (red) measurements of HONO as well as the
ratio of the CIMS and LP/LIF measurements, and HOCl measurements from
a time-of-flight chemical ionization mass spectrometer (ToF-CIMS)
paired with iodide (I–) chemical ionization (green)
from (a) sequential bleach cleaning experiments (June 10) and (b)
a layered experiment (June 19). Blue-, green-, and orange-shaded regions
represent ventilation, bleach cleaning, and cooking periods, respectively.
Measurements when HOCl was high (green triangles), measurements during
ventilation periods (blue triangles), and LP/LIF measurements corrected
for the HOCl interference (open red circles) are not included in the
correlation analysis (see text).
CIMS (blue)
and LP/LIF (red) measurements of HONO as well as the
ratio of the CIMS and LP/LIF measurements, and HOCl measurements from
a time-of-flight chemical ionization mass spectrometer (ToF-CIMS)
paired with iodide (I–) chemical ionization (green)
from (a) sequential bleach cleaning experiments (June 10) and (b)
a layered experiment (June 19). Blue-, green-, and orange-shaded regions
represent ventilation, bleach cleaning, and cooking periods, respectively.
Measurements when HOCl was high (green triangles), measurements during
ventilation periods (blue triangles), and LP/LIF measurements corrected
for the HOCl interference (open red circles) are not included in the
correlation analysis (see text).While observed HONO mixing ratios did eventually
decrease for both
instruments following each bleach cleaning event, the measurement
agreement was poor immediately following the application of the bleach
solution, as evident by the sudden decrease in the CIMS-to-LP/LIF
ratio shown in Figure . On June 10, the LP/LIF instrument observed an increase in the HONO
signal of nearly 3 ppb during active bleach cleaning periods. As this
increase was not observed by the CIMS instrument, it is likely indicative
of interference in the LP/LIF instrument. One potential interfering
species is HOCl, which could photolyze at 355 nm to form OH radicals
that are then excited by the 308 nm laser. Although the absorption
cross section of HOCl at 355 nm is approximately 30 times lower than
that of HONO,[42] HOCl mixing ratios increased
to nearly 200 ppb during some bleach episodes.[41] Overall, HOCl mixing ratios and observed LP/LIF signals
were only weakly correlated, but the discrepancy between the CIMS
and LP/LIF measurements of HONO was greatest when HOCl exceeded 100
ppb (Figure a) with
better agreement when HOCl mixing ratios were much lower (Figure b). A correlation
between the HOCl mixing ratio and the difference between the LP/LIF
and CIMS measurements suggests that approximately 1.5% of the HOCl
was photolyzed into OH and detected as HONO, consistent with the ratio
of the absorption cross sections of HONO and HOCl at the photolysis
laser wavelength. A corrected LP/LIF measurement is shown in Figure a. Excluding the
data when HOCl was likely interfering with the LP/LIF measurements,
the measurements between the two instruments displayed good agreement.
For the sequential chlorine mopping experiment on June 10, a weighted
fit of the measurements results in a slope of 1.20 ± 0.06 and
an R2 value of 0.72. Although this interference
is unlikely to be significant in most forested and urban environments
where the ratio of HOCl to HONO is very low, future LP/LIF measurements
will require a detailed characterization of the HOCl interference
during bleach cleaning experiments, or measurements in marine environments
where the expected HONO mixing ratios are only a few ppt[43] compared to HOCl mixing ratios as high as 1
ppb.[44]
Enhanced Ventilation Experiments
Experiments to enhance
ventilation rates through window opening were performed to examine
the dynamic equilibrium between gas-phase species and indoor surface
reservoirs. During each ventilation period, all external doors and
windows were fully opened for 30 min while the internal mixing rate
of the house remained constant. HONO mixing ratios rapidly decreased
with most ventilation periods due to mixing with outdoor air, with
the ventilation period at 10:30 on June 10 (Figure a) an exception, and then quickly returned
to high steady-state mixing ratios (3–4 ppb in Figure a) after the doors and windows
were closed. This behavior was also observed in a similar residential
setting and suggests that indoor HONO mixing ratios are strongly affected
by dynamic partitioning with an interior surface reservoir in addition
to emission from primary sources and formation via secondary sources.[16]
Figure 6
CIMS (blue), LP/LIF (red), and the ratio of the CIMS and
LP/LIF
measurements of HONO mixing during ventilation experiments (blue-shaded
regions) on June 4 and 20. Measurements during ventilation periods
are not included in the correlation analysis.
CIMS (blue), LP/LIF (red), and the ratio of the CIMS and
LP/LIF
measurements of HONO mixing during ventilation experiments (blue-shaded
regions) on June 4 and 20. Measurements during ventilation periods
are not included in the correlation analysis.Measurements of HONO during the sequential ventilation
experiment
on June 4 as well as ventilation periods during a sequential natural
product cleaning experiment on June 20 are shown in Figure . A weighted fit of the measurements
by the instruments during the June 4 sequential ventilation experiments
results in a slope of 0.82 ± 0.03 and an R2 value of 0.82. During several ventilation periods, the LP/LIF
measurements of HONO did not decrease to the same extent as the CIMS
measurements, despite consistent agreement during nonventilation periods
on that same day (Figure ). Similar results were observed during the ventilation periods
during the June 6 sequential cooking experiment and the June 10 sequential
bleach cleaning experiment (Figures and 5). The difference between
the measurements during open window ventilation periods varied and
is also illustrated by the CIMS-to-LP/LIF measurement ratios in Figure , indicating that
spatial variation of HONO within the house may be significant when
the windows are open. While recirculation of air may quickly distribute
HONO within the closed test house, as demonstrated by agreement during
cooking and cleaning events, the spatial distribution of HONO during
open window ventilation periods may be influenced by external factors.
In this case, the most likely explanation for the change in agreement
may be that each instrument sampled a different mixture of indoor
air and ambient outdoor air that moved inside as a result of changes
in air circulation patterns within the house during ventilation periods.
It is possible that the CIMS inlet was positioned within a cross-breeze
of outdoor air moving between the open front door and kitchen window,
leading to lower observed HONO concentrations compared to the LP/LIF
instrument.
Discussion
Instrumental intercomparisons
of indoor
HONO measurements are important
to validate the respective instrumental techniques and also to validate
models of the spatial and temporal mixing of indoor emissions. A recent
model estimates the indoor lifetime of HONO with respect to photolysis,
air exchange, and deposition to be approximately 13 min, which is
long enough for emissions to impact multiple rooms in a building.[45] The simultaneous measurements of HONO from the
CIMS and LP/LIF instruments in different locations during HOMEChem
provide important information regarding the lifetime and spatial distribution
of indoor HONO emissions that can be used to validate models.A correlation plot of all of the measurements during the campaign
is shown in Figure . Excluding the outlier measurements of the June 18 Thanksgiving
experiment, the measurements from both instruments during the campaign
agreed to within their combined instrumental uncertainties. Measurements
during ventilation periods and during bleach cleaning experiments
are also excluded from this correlation analysis. During these periods,
the sudden changes in the CIMS-to-LP/LIF ratio shown in Figures –6 likely indicate that the instruments sampled different air masses
during ventilation periods and that an HOCl interference impacted
the LP/LIF measurements during bleach cleaning events. A bivariate
fit of the data weighted by the precision of both measurements resulted
in a slope of 0.85 ± 0.01 and an R2 value of 0.92 (Figure ) with an intercept that is small relative to the range of mixing
ratios observed during the campaign.[46] The
overall agreement between the two instruments is quite remarkable
given the different measurement techniques and gives confidence in
the reliability of the calibration methods. The slope of the correlation
suggests that on average the CIMS measurements were greater than LP/LIF
measurements and may be indicative of a small spatial gradient between
the two instruments that may or may not be significant but is consistent
with the location of the CIMS instrument closer to the strong emission
sources in the kitchen.
Figure 7
Correlation plot of all common measurements
between the CIMS and
LP/LIF instruments during HOMEChem. Gray triangles indicate measurements
from the Thanksgiving experiment on June 18, during which measured
mixing ratios were significantly higher than all other measurements
during the campaign, and blue triangles indicate measurements during
enhanced ventilation periods. These measurements, along with a small
number of measurements during bleach cleaning experiments when HOCl
likely interfered with the LP/LIF instrument, are not included in
the correlation analysis.
Correlation plot of all common measurements
between the CIMS and
LP/LIF instruments during HOMEChem. Gray triangles indicate measurements
from the Thanksgiving experiment on June 18, during which measured
mixing ratios were significantly higher than all other measurements
during the campaign, and blue triangles indicate measurements during
enhanced ventilation periods. These measurements, along with a small
number of measurements during bleach cleaning experiments when HOCl
likely interfered with the LP/LIF instrument, are not included in
the correlation analysis.Variations in the agreement between the instruments
over the course
of the campaign did occur and may be related to variations associated
with the LP/LIF calibration factor. While calibrations to determine
the instrumental sensitivity to OH were performed regularly throughout
the campaign, photolysis efficiency (PE) calibrations were limited
to before and after the campaign to avoid the introduction of NO to
the test house. Shifts in the alignment and overlap of the laser beams
perhaps due to temperature fluctuations impacting the optical train
over time likely resulted in changes in the photofragmentation efficiency
and the sensitivity of the instrument to the detection of HONO. Wavelength
variations may also have contributed to fluctuations in the sensitivity
of the LP/LIF instrument. More frequent calibrations as well as further
stabilization of the optical train will help to minimize the uncertainty
associated with the sensitivity of the instrument.While the
agreement between the two instruments gives confidence
in the instrumental techniques and their calibration methods, except
for the June 18 Thanksgiving experiment, the strong correlation between
the measurements from two different locations inside the house also
provides information on the lifetime and spatial distribution of indoor
HONO concentrations. Because the CIMS inlet was located in the kitchen
closer to the HONO combustion source, the agreement between the two
instruments suggests that the indoor lifetime of HONO was long enough
for the central air handling unit to quickly distribute HONO throughout
the closed house. Although mixing in the test house was faster than
what can be expected in an average home due to the constantly powered
HVAC fan (8 h–1), this is consistent with the CFD
results of Won et al.,[30] who found that
HONO emissions from a fixed combustion source would be evenly distributed
throughout a simulated room with air change rates between 0.5 and
5 h–1.During HOMEChem, the kitchen area near
the CIMS inlet was illuminated
in the mornings through the eastern-facing windows, while the living
room area near the LP/LIF detection cell was illuminated through the
western-facing windows in the afternoon. On average during the campaign,
the kitchen area received maximum illumination around 10:00 local
time, while the living room area received maximum illumination around
17:00. The agreement in the measured HONO between the two instruments
during events that occurred during different illumination periods
in the morning and afternoon suggests that loss of HONO due to photolysis
or photolytic production of HONO, such as from the enhanced heterogeneous
reaction of surface NO2 or grime,[31−34] may exist but are either quickly
mixed indoors or are not as important relative to other sources and
sinks.
Environmental Implications
The strong correlation and
agreement between the HONO measurements at the two different locations
in the house suggest that the indoor lifetime of HONO is long enough
for it to be quickly distributed throughout a closed indoor environment
depending on the internal mixing rate, confirming previous expectations.[30,45] The agreement during different illumination periods, when sunlight
impacted the instrument inlets at different times during the day,
also suggests that natural light levels did not significantly impact
HONO mixing ratios, consistent with model predictions of the impact
of sunlight on HONO levels and previous experimental studies.[19,30] In contrast, these simulations have shown that photolysis of HONO
in sunlit areas can lead to significant OH radical production.[30] During afternoon cooking events when the LP/LIF
detection cell was exposed to sunlight through the western-facing
windows, elevated concentrations of OH from the photolysis of HONO
were observed similar to those determined in previous studies[19,20] and consistent with CFD simulations.[30] Given the agreement in the measurements of HONO in the two locations,
it is likely that photolysis of HONO in the kitchen area led to elevated
OH concentrations when sunlight illuminated this area in the morning.
A summary of OH radical production from cooking events during HOMEChem
will be presented in a subsequent publication. The results of the
intercomparison suggest that OH production from the photolysis of
HONO could have occurred throughout the house when different areas
were illuminated by sunlight at different times during the day. This
suggests that the ability of HONO emissions to be quickly and evenly
mixed could sustain the oxidative capacity of indoor environments.The average outdoor air change rate of 0.5 h–1 during HOMEChem is typical for many residential homes.[47] Recent model simulations suggest that higher
ACRs would lead to lower HONO mixing ratios but could result in higher
steady-state OH concentrations in sunlit areas due to lower concentrations
of radical sinks such as NO2. However, the higher steady-state
OH concentrations in the simulation did not lead to greater production
of oxidation products due to the reduction in the concentration of
VOCs at the higher ACR.[30] On the other
hand, lower ACRs would be expected to increase HONO mixing ratios
and could lead to concentration gradients in a residence due to different
emission rates of HONO. Liu et al.[34] modeled
the production of HONO in a 30 m3 kitchen due to light-induced
heterogeneous reactions of NO2 with adsorbed grime. For
an ACR of 0.1 h–1, the modeled predicted mixing
ratios of HONO under sunlit conditions were approximately 30 ppb greater
than HONO production in the dark, suggesting that HONO levels could
be greater in illuminated kitchen areas in an airtight residence.The results from the enhanced ventilation experiments suggest that
indoor HONO concentration gradients can occur when outdoor air moves
through the house during ventilation periods. Similar to that observed
previously during the SHARP campaign HONO instrument intercomparison
discussed above, different sources of HONO could cause spatial differences
in HONO concentrations outdoors. The results of this intercomparison
suggest that indoor HONO spatial concentration gradients can be quickly
dispersed when windows are closed due to rapid internal mixing and
the dynamic equilibrium of HONO with surface reservoirs.[16]The enhanced internal mixing rate used
during the campaign was
potentially a limitation in characterizing spatial gradients due to
indoor HONO sources. Additional measurements of the spatial distribution
of HONO under low ACRs and lower indoor mixing rates are needed to
determine whether emissions of HONO could lead to concentration gradients
inside some residences. While the instruments used in this study have
the advantage of being able to measure several species simultaneously,
an array of lower-cost sensors that could simultaneously measure HONO
mixing ratios in several locations within a house could provide additional
information regarding the spatial distribution of indoor HONO emissions.
Authors: Chen Wang; Brandon Bottorff; Emily Reidy; Colleen Marciel F Rosales; Douglas B Collins; Atila Novoselac; Delphine K Farmer; Marina E Vance; Philip S Stevens; Jonathan P D Abbatt Journal: Environ Sci Technol Date: 2020-10-16 Impact factor: 9.028
Authors: Douglas B Collins; Rachel F Hems; Shouming Zhou; Chen Wang; Eloi Grignon; Masih Alavy; Jeffrey A Siegel; Jonathan P D Abbatt Journal: Environ Sci Technol Date: 2018-10-22 Impact factor: 9.028
Authors: James M Mattila; Pascale S J Lakey; Manabu Shiraiwa; Chen Wang; Jonathan P D Abbatt; Caleb Arata; Allen H Goldstein; Laura Ampollini; Erin F Katz; Peter F DeCarlo; Shan Zhou; Tara F Kahan; Felipe J Cardoso-Saldaña; Lea Hildebrandt Ruiz; Andrew Abeleira; Erin K Boedicker; Marina E Vance; Delphine K Farmer Journal: Environ Sci Technol Date: 2020-01-24 Impact factor: 9.028
Authors: Kiyoung Lee; Jianping Xue; Alison S Geyh; Halûk Ozkaynak; Brian P Leaderer; Charles J Weschler; John D Spengler Journal: Environ Health Perspect Date: 2002-02 Impact factor: 9.031