Lorillard
Comments on Chapter 7: Exposure Assessment in Passive Smoking
Fields
- Author
- Cole, S.K.
- Alias
- 88772531/88772533
- Type
- REPT, OTHER REPORT
- Area
- CROUSE,WILLIAM/BASEMENT GMP
- Litigation
- Stmn/Produced
- Characteristic
- EXTR, EXTRA
- Site
- G10
- Named Organization
- Doe
- Epa, Environmental Protection Agency
- Iarc
- Natl Bureau of Standards
- Nbsir
- Epa, Environmental Protection Agency
- Master ID
- 88772371/2597
Related Documents:- 88772371-2597 United States Environmental Protection Agency Environmental Tobacco Smoke: A Compendium of Technical Information Comments of the Tobacco Institute 900205 Reviewers' Statements
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- 88772585-2596 Review of: Environmental Tobacco Smoke A Compendium of Technical Information
- Named Person
- Axley, J.
- Bragg
- Brunnemann
- Drake
- Grot
- Hoffmann
- Horstman
- Johnson
- Lowrey
- Persily
- Repace
- Siurna
- Williams
- Bragg
- Date Loaded
- 12 Feb 1999
- UCSF Legacy ID
- dgh30e00
Document Images
Comments on Chapter 7:
Exposure Assessment in Passive Smoking
By: Dr. S. Keith Cole
The statement is made that the RSP concentration is directly
proportional to the product of the number of smokers, -
smoking rate, and emmissions per tobacco product and
inversely proportional to the product of the space volume
and the removal rate. This is correct only in terms of the
single compartment equilibrium model which assumes the gases
are thoroughly and uniformly mixed. Th:Ls assumption has not
been proven or even tested. Flow-dynam:Lc models might be
more appropriate (see Horstman or Siurna and Bragg).
It is stated that RSP and nicotine are i.he two most
promising markers for ETS. Unless all sources of RSP can be
accounted for RSP is not a good or even legitimate marker of
ETS. Other sources may be present and iaay vary in time,
creating unrealistic measures of RSP. Recent experiments
have shown nicotine to decay rapidly in smoking environments
due to adsorption to surfaces then to desorb over long
periods of time. This makes measuremeni: of nicotine
possible when there may not be any other ETS_components in
the air, thus overestimating ETS exposure.
The statement that RSP is the single largest component of
ETS by weight is incorrect. Carbon dioxide and carbon
monoxide are generated in larger quantities.
The model proposed for predicting ETS exposures is only
valid in the limit of a uniformly mixed gas. This limits
application of the model to conditions where the residence
time of the particular component (which depends upon details
of the ventilation system, space geomet:_y, and physical
characteristics of the component such as diffusion
coefficient, etc.) is long compared to the decay time,
whether this be due to chemical reaction, exhaust through
the ventilation system, or a physical p:rocess such as
adsorption or evaporation.
The basic model is:
Ceq = G / [m(Nv+Ns)V]
where Ceq is the equilibrium concentration, G is the rate of
generation of RSP in micrograms per hour, Nv is the
ventilation or infiltration rate in air changes per hour
(ACH), Ns is removal rate of RSP due to adsorption in ACH,
and m is a mixing factor. A condensed Eorm of this.equation
is presented as:
Ceq = 650 Ds/Nv

where Ds is the density of active smokers per 100 m3 volume.
The constant term is derived from average values assumed for
RSP emission rates, building ventilatior. rates, mixing
factors, and sink rates. Other derivative equations are
provided which are supposed to adjust for intermittant
smoking rates.
Several questions arise from this presentation. What are
these average values? Do any of the ave:rage values
represent a realistic environment? For instance, the
smoking rate used is presumably 2 cigare:ttes per hour per
smoker as the author has used this value: in most previous
publications. This is derived from the total number of
cigarettes sold and the total number of smokers in the US.
The author implies that since 90% of the: average persons
time is spent indoors that 90% of all'ci.garettes are
consumed indoors. Is this verifiable? If eight hours of
sleep are allocated then the ammount of time indoors awake
is reduced to 58% of a 24 hour day. Also, theĀimpression is
given that all blue collar and white co].lar employment is
indoors. Is it? How many cigarettes are smoked outdoors or
in automobiles? Since the model is linear in all the
variables it is extremely sensitive to such factors as
smoking rate. In field studies conducted in aircraft,
smoking rates of at most 0.5 to 0.6 cigZirettes per smoker
per hour were observed (Drake and Johnson, submitted for
publication to Aviation, Space, and Environmental Medicine,
1989). This lower smoking rate would reduce the estimated
RSP concentration by 75%.' Perhaps more care should be taken
in estimating or measuring smoke generation rates.
In the field studies referenced such parameters as mixing
factor and ventilation rate were not measured but were
assumed. Since these factors are critical to the
"predictive" power of the model they should be measured.
The only validation of this model has been in controlled
settings, i.e. chamber studies, where the air is mixed by
fans. To my knowledge the model has noi: predicted RSP
concentrations using accurately measured input parameters in
the field.
Regarding pathways for distribution of ]:TS through building
ventilation systems the author is refer::ed to a publication
by James Axley from the National Bureau of Standards that
was prepared for the EPA and DOE (Indoo:: Air Quality
Modeling - Phase II Report, NBSIR 87-3661). The treatment
of recirculated air is presented for homes and could be
extended to other mechanically ventilated structures.
The following references are reported i;z the text but are
missing from the reference list at the and of the chapter:
Persily and Grot, 1986; Williams et al., 1985, IARC (1987).

In section C the author reports measured concentrations of
RSP from ETS and states that the size r<inge of particles is
less than.2.5 um. In the publications referenced (Repace
and Lowrey, Science, 1980) the piezoelec:tric balance used
was stated to have 100% efficiency for particles from 0.1 to
3.0 um diameter, 50% efficiency at 3.5 um, and 10%
efficiency at 4.0 um. Was a device usec[ to restrict -
measurements to particles less than 2.5 um diameter? If so,
state what device was used and how it w<<s implemented.
The author states that the weighted average RSP levels
(taken from various publications) in buildings where smoking
is permitted is 262 ug/m while in buildings with no smoking
allowed it is 36 ug/m . The suggestion is then made that
85% of RSP in the buildings where smoking is allowed is due
to smoking. First, what is the weighting procedure used to
calculate the average, i.e. by occupancy or volume?
Secondly, comparison of RSP levels between various buildings
does not allow for such correlations as to the,origin of
RSP.
The author states that "under extreme conditions of indoor
pollution, it has been calculated that a nonsmoker would
inhale volatile nitrosamines equivalent to 10 nonfilter
cigarettes or 35 filter cigarettes". The reference, which
is missing from the reference list, is F[offmann and
Hoffmann, Significance of Exposure to Sidestream Tobacco
Smoke, in IARC, vol. 9 (1987), p.6. The more appropriate
reference is to the original work of Brunnemann and
Hoffmann, IARC Scientific Publications, No. 19, pp. 343-356.
Review of this paper brings the statement referred to above
into doubt. The only volatile nitrosamine detected in
ambient air in the study by Brunnemann <<nd Hoffmann was
NDMA. This compound is not specific to tobacco and is found
in various substances in the environment. No other "ETS
markers" were measured in the study. Also, the exposure to
NDMA was given as a range of cigarette equivalents (9-10
nonfilter cigarettes, 17-35 filter ciga3-ettes) which
depended on respiratory rate. Presenting only the upper
bound of this range is misleading.
