Particle Size Distribution of E-Cigarette Aerosols and the ...Primary E-cig Aerosol Former...
Transcript of Particle Size Distribution of E-Cigarette Aerosols and the ...Primary E-cig Aerosol Former...
Particle Size Distribution of E-Cigarette
Aerosols and the Relationship to
Cambridge Filter Pad Collection
Efficiency
S.L Alderman, C. Song, S. Moldoveanu, S.K. Cole
R.J. Reynolds Tobacco Company, Winston-Salem, NC
CORESTA SSPT Meeting, Seville, Spain
September 29-October 03, 2013
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Outline
• Particle size distribution measurements challenges common for tobacco burning and
e-cigarette aerosol characterization
• Model predictions of filter efficiency 44 mm Cambridge filter
• Experimental results on Cambridge pad collection efficiency/vapor-particle partitioning PG, GLY, NIC, WAT
• Conclusions
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Challenges associated with cigarette
smoke aerosol characterization
• MSS is a dynamic aerosol and particle
size changes rapidly due to coagulation 109-1010 particles/cm3 results in rapid coagulation
measured number concentration will be lower than
and average particle size will be larger than filter
exit size due to aging/coagulation prior to
measurement
dilution of aerosol can greatly minimize effects of
coagulation
Coagulation – the process where particles collide with one
another due to relative motion between them and adhere to form
larger particles.
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Challenges associated with cigarette
smoke aerosol characterization
• MSS particulate matter contains components over a range of volatilities – some saturated in the vapor phase Dilution of the aerosol is common not only to
minimize coagulation, but to lower particle number concentration below operational limits of many types of instruments
will shift particle-vapor equilibrium and result in evaporation of some particulate matter components,
results in under reporting of true “filter exit” particle size
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Aerosol property mass vs. Cambridge
filter mass • Reliability of aerosol measurements can be assessed
by comparing particulate mass based on measured
properties to gravimetric filter collected TPM mass particle size, number, spread of distribution and density
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Water Fraction of TPM
Eclipse
Alderman S.L. and Ingebrethsen, B.J. (2011)
Characterization of Mainstream Cigarette
Smoke Particle Size Distributions from
Commercial Cigarettes using a DMS500 Fast
Particulate Spectrometer and Smoking Cycle
Simulator. Aerosol Sci. Technol., 44:1409-1421.
Mass originally present in
particulate phase (and
captured by filter pad)
evaporates under high
dilution leading to
erroneously small particle
size measurements, thus
mass calculated from size
parameters is biased low
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E-cigarette Terminology
• “Vapor” is often used to describe the effluent from
e-cigarettes – this terminology appears commonplace among e-cigarette users
(vapers)
– can be found in numerous scientific documents
• This is a technical inaccuracy – the output from an e-cigarette is accurately described as an aerosol,
which is composed of a particulate phase dispersed in a gaseous
medium.
– some components of the e-liquid are expected to exist at some level
in a true, non-condensed vapor phase
• This distinction will need to be made clear to avoid
confusion when discussing issues such as particle/vapor
partitioning of e-cigarette aerosols.
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Particle Size Distribution of E-cigarette
Aerosol
• Measurements made in undiluted state by spectral
transmission and after high dilution with DMS500
electric mobility analysis measures wavelength dependence of transmitted light
through aerosol (Mie scattering)
Ingebrethsen, B.J., Cole, S.K. and Alderman, S.L. (2012)
Electronic Cigarette Aerosol Particle Size Distribution
Measurements. Inhalation Toxicology 24:976-984.
• Main findings were: E-cigarette aerosols undergo nearly complete evaporation
under high dilution – more so than burn-down aerosols
Spectral transmission procedure showed e-cig particle sizes
and number densities very similar to tobacco burning aerosols
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Particle Size Distribution of E-cigarette
Aerosol –representative results • 55 ml puff volume, 2 sec puff duration, square wave
shape, puff 5 for 3R4F
Count Median Diameter (nm)
Spec. Ext.
(no dilution)
DMS500
(high dilution)
3R4F 228 ± 13 184 ± 8*
E-Cig A 296 ± 19 14 ± 0.68
E-Cig B 238 ± 26 21 ± 3.1
*207 nm after
evaporation
correction
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Particle Size Distribution of E-cigarette
Aerosol –representative results • 55 ml puff volume, 2 sec puff duration, square wave
shape, puff 5 for 3R4F
Particle Number Concentration (per cm3 x109)
Spec. Ext.
(no dilution)
DMS500
(high dilution)
3R4F 2.75 ± 0.91 3.88 ± 0.32
E-Cig A 1.8 ± 0.49 8.38 ± 1.26
E-Cig B 1.56 ± 0.72 11.8 ± 1.98
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Particle Size Distribution of E-cigarette
Aerosol –representative results • 55 ml puff volume, 2 sec puff duration, square wave
shape, puff 5 for 3R4F
Aerosol and Cambridge Pad Mass (mg/puff)
Spec. Ext.
(no dilution)
Cambridge Pad DMS500
(high dilution)
3R4F 1.52 ± 0.38 1.88 ± 0.32 1.31 ± 0.20
E-Cig A 2.4 ± 0.63 2.5 ± 0.28 0.0019 ± 0.0006
E-Cig B 0.95 ± 0.35 1.4 ± 0.20 0.010 ± 0.005
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Cambridge Pad Collection of E-cig
Aerosols • Some likely inaccurate reports of e-cig particle size
distributions combined with a common
misunderstanding of particle capture by fibrous filters
has raised some questions on the suitability of
Cambridge pads for sampling these aerosols
• A theoretical filtration model is presented with filter
properties taken from a 44 mm Cambridge pad filter diameter, thickness, fiber diameter and length, fiber
volume fraction, flow rate (face velocity), and particle size all
have an influence
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Cambridge Filter Single Fiber Collection
Efficiencies at 27.5 cm3/s
• Diffusion and Interception dominate
• Overall efficiency near 100% for all sizes
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Particle Size (nm)
Impaction
Interception
Diffusion + Interception
Diffusion
Total of all Mechanisms
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Filtration Dependence on Flow Rate
• Most penetrating particle size shifts to lower sizes as flow rate increase
(~550 to 350 nm), but is still >99% captured at 50 cm3/s
• Illustrates that fibrous filters do not act as microscopic sieves
• Predictions only for particles, some components of interest may exist
in vapor phase and pass through Cambridge filter
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10 cc/s
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27.5 cc/s
35 cc/s
50 cc/s
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Efficiency of Cambridge Filters for Collection of
Primary E-cig Aerosol Former Components –
Experimental
• Two commercially available e-cigarettes – E-cig A ~ 12% PG, 70% GLY, 4.5% NIC, 14% water – E-cig B ~ 50% PG, 48% GLY, 1.6% NIC, 1.8% water – Both rechargeable “cartomizer” types
• A Cerulean SM 450 smoking machine was used to generate square wave puffs of varying volume – 55 or 75 mL volume, square wave shape, 3 s duration, 30 s interval – 20 or 80 puffs collected per sample
• E-cig aerosol was subjected to standard Cambridge filter (44 mm) collection
• A trap intended to capture any material passing through the filter was placed immediately downstream of the filter. – ORBO™-32 Small trap containing charcoal in two sections (A and B) – An XAD-4 trap was used under the 75 mL puff volume/80 puffs collected
test variant (porous highly cross-linked polystyrene/divinylbenzene copolymer)
• 60% R.H. and 24 ºC conditions.
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Filter and Trap Analysis
• Following extraction, Cambridge filter and vapor adsorbent trap samples were analyzed by GC FID for PG, GLY & NIC
• The same extraction solutions were used for quantitation of water by GC TCD (water corrected for solvent, pad, and trap background content)
• Quantitative analysis of pad and vapor trap allows determination of Cambridge pad filter efficiency provided that – each component was completely captured on either the filter pad
or downstream vapor trap – all material was effectively extracted from each sample matrix
and accounted for by GC analysis.
• Analysis of a secondary vapor trap (Section B) revealed no presence of GLY or NIC, and only relative traces of PG and water
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Cambridge Filter Efficiency - Results
Flow Rate
cm3/s Puffs Analyte
Ecig A
% on Pad
Ecig A
% on Trap
Ecig B
% on Pad
Ecig B
% on Trap
25
ORBO 80
GLY 99.999 0.001 100.00 0.000
NIC 99.869 0.131 99.892 0.108
PG 98.366 1.634 98.851 1.149
WAT 88.206 11.794 100.00 0.000
• GLY, PG, and NIC captured with good efficiency on Cambridge
filter partitioning between the Cambridge filter and adsorbent trap and
aligned with each component’s partial vapor pressure
consistent trends for E-cig A and E-Cig B
• Water fraction captured on Cambridge filter is highly variable
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Cambridge Filter Efficiency - Results
Flow Rate
cm3/s Puffs Analyte
Ecig A
% on Pad
Ecig A
% on Trap
Ecig B
% on Pad
Ecig B
% on Trap
25 80
GLY 99.999 0.001 100.00 0.000
NIC 99.869 0.131 99.892 0.108
PG 98.366 1.634 98.851 1.149
WAT 88.206 11.794 100.00 0.000
25 20
GLY 100.000 0.000 100.000 0.000
NIC 99.942 0.058 99.969 0.031
PG 98.941 1.059 99.343 0.657
WAT 51.146 48.854 100.00 0.000
18.3 80
GLY 100.000 0.000 100.000 0.000
NIC 99.915 0.085 99.923 0.077
PG 98.869 1.131 99.240 0.760
WAT 89.316 10.684 69.155 30.845
18.3 20
GLY 100.000 0.000 100.000 0.000
NIC 99.962 0.038 100.000 0.000
PG 99.377 0.623 99.503 0.497
WAT 46.818 53.182 20.608 79.392
25 80
GLY 99.999 *0.001 99.999 *0.001
NIC 99.409 *0.591 99.426 *0.574
PG 98.748 *1.252 98.771 *1.229
WAT 98.947 *1.053 97.800 *2.200 * Indicates XAD-4 trap. All other trap values correspond to ORBO
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Cambridge Filter Efficiency - Results
• For E-cig A more material exits cartridge during puffing than was
captured on Cambridge pad as TPM. Opposite trend for E-Cig B in-cartridge e-liquid water content influences uptake of ambient water
during testing (14% for e-cig A, ~ 2% for E-cig B) –hygroscopicity of GLY
and PG
• GC analysis of pad accounts for about reasonable amount of
gravimetric mass
Flow Rate
cm3/s Puffs E-cig
% cartridge mass
loss captured as
TPM
% TPM (pad) mass
accounted for by GC
analysis
25 80 A 97 ± 0.29 96
25 80 B 105 ± 0.94 92
25 20 A 95 ± 5.1 89
25 20 B 103 ± 1.5 91
18.3 80 A 98 ± 5.3 95
18.3 80 B 107 ± 0.32 98
18.3 20 A 99 ± 15.1 84
18.3 20 B 105 ± 4.0 94
25 80 A 96 ± 1.6 97 (XAD)
25 80 B 103 ± 1.8 92 (XAD)
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Conclusions
• Characteristics of e-cigarette aerosols, i.e. high
particle number density and particulate matter that can
evaporate under high dilution conditions will generally
complicate PSD measurements
• Measurements made by a spectral transmission
procedure under non-diluting conditions suggest that
the average particle size and number concentration of
e-cigarette aerosols are comparable to those of
tobacco burning cigarette aerosols.
• Results of a model-based Cambridge pad filtration
efficiency study predict near 100% capture of particles
of a size consistent with those found in e-cigarette size
aerosols.
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Conclusions
• Results of an experimental study indicate PG, GLY,
and NIC are efficiently captured on Cambridge pads,
suggesting that these components largely reside in the
condensed, particulate phase of the aerosol.
• Information on the particle/vapor partitioning of water
was largely inconclusive and may indicate that the
vapor traps employed for this study are not suitable for
water analyses.
• All of the above areas of study need further
exploration
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Acknowledgment
Susan Pike
Buddy Mills
Co-Authors
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