Bubble nucleation in stout beers
W. T. Lee,∗ J. S. McKechnie, and M. Devereux
arXiv:1103.0508v1 [cond-mat.stat-mech] 2 Mar 2011
MACSI, Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland
(Dated: March 3, 2011)
Bubble nucleation in weakly supersaturated solutions of carbon dioxide—such as champagne, sparkling
wines and carbonated beers—is well understood. Bubbles grow and detach from nucleation sites: gas pockets trapped within hollow cellulose fibres. This mechanism appears not to be active in stout beers that are
supersaturated solutions of nitrogen and carbon dioxide. In their canned forms these beers require additional
technology (widgets) to release the bubbles which will form the head of the beer. We extend the mathematical model of bubble nucleation in carbonated liquids to the case of two gasses and show that this nucleation
mechanism is active in stout beers, though substantially slower than in carbonated beers and confirm this by
observation. A rough calculation suggests that despite the slowness of the process, applying a coating of hollow
porous fibres to the inside of a can or bottle could be a potential replacement for widgets.
PACS numbers: 47.55.db, 64.60.qj, 82.60.Nh
I.
INTRODUCTION
The production of bubbles in weakly supersaturated solutions of carbon dioxide is of great interest to the beverage industry. Such solutions include many soft drinks and beers, as
well as sparkling wines and champagne. While it has long
been appreciated that spontaneous bubble formation in these
liquids is strongly inhibited and thus that bubble formation
can only occur at certain nucleation sites [3, 10], it is only
comparatively recently that the nature of these sites has been
fully elucidated. In a series of papers, Liger-Belair and coworkers demonstrated that the most important nucleation sites
are pockets of gas trapped in cellulose fibres [5] (an example
of type IV nucleation in the classification of Jones et al. [3])
and developed a mathematical model of the growth and detachment of these bubbles [6], (a complementary model making slighly different assumptions was developed by Uzel et
al. [9]).
While most beers are carbonated, there are advantages to
using a mixture of nitrogen and carbon dioxide in beers, as
is done in a number of stouts. (Hereafter, the term ‘stout’
will be used to refer to a beer containing a mixture of dissolved nitrogen and carbon dioxide.) These advantages include lower acidity in the beer leading to an improved taste;
and smaller bubbles giving a creamy mouthfeel and a long
lasting head [1, 2]. These beers are interesting scientifically
because they show interesting fluid dynamical phenomena
such as roll waves [8] and sinking bubbles [11]. Also of scientific interest is the technology used to create the head in the
canned products.
Pouring a carbonated beer from the can into a glass is
enough to generate the head. This is not the case for stouts.
Foaming in canned stouts is promoted by a widget: a hollow
ball containing pressurised gas. When the can is opened, the
widget depressurises by releasing a gas jet into the beer. The
jet breaks up into tiny bubbles which are carried throughout
the liquid by the turbulent flow generated by the gas jet and by
∗
www.ul.ie/wlee; william.lee@ul.ie
TABLE I. Values of parameters used in this work.
Parameter
r
λ
γ
D1
D2
H1
H2
T
P0
P1
P2
Value
Reference
−6
6.00 × 10 m
14.00 × 10−6 m
47.00 × 10−3 N m−1
1.40 × 10−9 m2 s−1
2.00 × 10−9 m2 s−1
3.4 × 10−4 mol m−1 N−1
6.1 × 10−6 mol m−1 N−1
293 K
1.00 × 105 Pa
0.80 × 105 Pa
3.00 × 105 Pa
[6]
[6]
[1]
[7]
[7]
pouring the beer into a glass. Dissolved gasses diffuse from
the liquid into the bubbles which rise to the surface of the beer
to form the head.
In this paper we extend the mathematical model of bubble
formation in carbonated liquids developed by Liger-Belair et
al. [6] to the case of two dissolved gasses and use it to investigate two questions:
• Why do stout beers require widgets? Is the bubbling
mechanism described by Liger-Belair et al. completely
inactive in stout beers or merely very slow?
• Could an alternative to the widget be developed by coating part of the inside of the can by hollow fibres?
II.
MATHEMATICAL MODEL
In this section we develop a mathematical model of the rate
of growth of a gas pocket in a cellulose fibre for the case
in which there are two dissolved gasses: nitrogen and carbon dioxide. Once a gas pocket reaches a critical size (when
2
tion:
∗
PB N1
∗ + N∗
N1
2
∗
PB N2
∆c2 = H2 P2 − ∗
∗
N1 + N2
2γ
PB = P0 +
,
r
∗
∗
(N1 + N2 ) RT
,
z=
2P
πr B
∆c1 = H1 P1 −
bubble
z
cellulose
,
(3)
.
(4)
(5)
(6)
where P1 is the partial pressure of dissolved carbon dioxide,
P2 is partial pressure of dissolved nitrogen, PB is the pressure
in the gas pocket given by the Laplace law, P0 is atmospheric
pressure and γ surface tension.
fluid
r
These equations can be non-dimensionalised by using the
scales
FIG. 1. Geometry of a gas pocket trapped in a cellulose fibre.
2D2 PB πr2
≈ 3.22 × 10−13 mol,
D2⊥ RT
rPB λ
tscale =
≈ 2.73 s,
D2⊥ H2 P2 RT
Nscale =
it reaches an opening of the fibre) it rapidly forms a bubble outside the fibre, leaving behind the original gas pocket.
Since bubble formation and detachment is much faster than
the growth of the gas pocket, the rate at which bubbles are
nucleated can be deduced from the rate of growth of the gas
pocket [6].
The geometry of a gas pocket in a cellulose fibre is shown
in Fig. 1. Dissolved gasses in the fluid diffuse into the bubble through the walls of the cellulose fibre and through the
spherical caps at the ends of the gas pocket. The rate at which
this occurs is determined by the surface area, the diffusion
constant and a diffusion length scale. The diffusion constants
used to calculate the fluxes of carbon dioxide and nitrogen
through the spherical caps are the diffusion constants in free
fluid: D1 and D2 . The relevant diffusion constants for flow
through the cellulose walls are D1⊥ and D2⊥ . NMR measurements show that for carbon dioxide D1⊥ ≈ 0.2D1 [4].
We assume the same relationship holds between D2⊥ and D2 .
The diffusion lengthscale λ was measured experimentally for
carbon dioxide [6], again we assume that this value is also
valid for nitrogen diffusion.
(7)
(8)
to introduce dimensionless variables N1 , N2 and t (by assumption D2 /D2⊥ = D1 /D1⊥ ). The dimensionless equations are
α1 N1
N
ǫ . 1 = (1 + N1 + N2 ) 1 −
t
N1 + N2
.
N2
. = (1 + N + N ) 1 − α2 N2
1
2
t
N1 + N2
.
,
(9)
.
(10)
Using values typical of stouts, given in Table I, the dimensionless parameters are
D2 H2 P2
≈ 0.096,
D1 H1 P1
PB
α1 =
≈ 1.45,
P1
PB
α2 =
≈ 0.39.
P2
ǫ=
(11)
(12)
(13)
In this model the rate of change of the numbers of carbon
∗
∗
dioxide (N1 ) and nitrogen (N2 ) molecules in the gas pocket
are given by
N∗
. 1 = 4πr2 D ∆c1 + 2πrzD ∆c1 ,
1
1⊥
t∗
λ
λ
.
∆c2
∆c2
N∗
. 2 = 4πr2 D
+ 2πrzD2⊥
,
2
t∗
λ
λ
.
III.
ASYMPTOTIC SOLUTION
(1)
(2)
where asterisks indicate dimensional variables that will be
non-dimensionalised later.
Using Henry’s law, Laplace’s law and the ideal gas equa-
Equations 9 and 10 cannot be solved directly. They can,
however, be solved in two asymptotic limits: ǫ ≪ 1 and
N1 + N2 ≫ 1. The former limit does not produce particularly accurate results but the analysis of this limit helps us to
interpret the results from taking the second asymptotic limit.
The results from taking the second asymptotic limit are more
accurate but harder to understand intuitively.
3
B. Second asymptotic limit: N1 + N2 ≫ 1
TABLE II. Numerical values of the parameters in equations 21
and 22.
In the limit N1 + N2 ≫ 1 equations 9 and 10 become
Parameter Value
a11
a12
a21
a22
τ1
τ2
τ1 tscale
τ2 tscale
N1
. = − α1 − 1 N + N2 ,
1
t
ǫ
ǫ
.
N2
. = N + (1 − α ) N .
1
2
2
t
.
0.989
0.836
–0.145
0.548
0.161
0.468
0.439 s
1.278 s
(19)
(20)
These equations have two independent solutions
t
τ1
,
N2 = Aa21 exp −
t
τ2
N1 = Aa11 exp −
,
N2 = Ba22 exp
t
τ1
, (21)
and
N1 = Ba12 exp
A. First asymptotic limit: ǫ ≪ 1
Taking the limit in which the small parameter ǫ ≈ 0.1 is
zero, equation 9 becomes an algebraic equation
0=1−
α1 N1
,
N1 + N2
(14)
which can be substituted into equation 10
N2
. = α1 + α2 − α1 α2 N + α1 + α2 − α1 α2 .
2
t
α1 − 1
α1
.
(15)
This equation is solved by
N2 = A exp
t
τ
−
α1 + α2 − α1 α2
,
α1
(16)
where A is a constant of integration and τ a dimensionless
time constant describing the timescale of growth of the gas
pocket in this approximation
α1 − 1
τ=
≈ 0.35,
α1 + α2 − α1 α2
τ tscale = 0.954 s.
(17)
(18)
Physically this approximation corresponds to assuming that
diffusion of carbon dioxide is infinitely fast, and thus the partial pressure of carbon dioxide in the gas pocket is always
equal to the partial pressure of carbon dioxide in solution. Obviously this approximation is only valid if the partial pressure
of carbon dioxide is less than the gas pocket pressure, otherwise equation 14 has no physical solutions. Note that this
approximation will underestimate τ since it assumes carbon
dioxide diffusion is infinitely fast.
t
τ2
,
(22)
where A and B can be chosen independently to satisfy initial
conditions. The numerical values of the other parameters are
given in Table II.
The analysis of the ǫ ≪ 1 case allows us to interpret these
two solutions. The first solution, equation 21, decays exponentially with a small timescale. This corresponds to the
rapid establishment of the (dynamic) equilibrium concentrations (or partial pressures) of CO2 and N2 within the gas
pocket (assumed instantaneous in the previous analysis). The
second solution, equation 22, shows exponential growth with
a longer timescale. This describes the steady state growth of
the gas pocket at a fixed concentration ratio of CO2 to N2 .
The timescale of this process describes the timescale of bubble
production. This analysis produces a longer estimate of that
timescale than the previous analysis. This is because, previously, diffusion of CO2 was assumed to be instantaneous. As
the numerical results described in the next section show, the
ǫ ≪ 1 limit underestimates the correct timescale, while the
N1 + N2 ≫ 1 analysis gives a good estimate.
IV.
NUMERICAL SOLUTION
A full solution of the dimensionless equations can be obtained by numerical integration. A fourth order Runge-Kutta
scheme with a timestep of 10−3 was used to solve equations 9
and 10 with initial conditions N1 = 0, N2 = 0.5. The differential equations were solved over the interval 0 < t < 10.
The result for N = N1 + N2 for 5 < t < 10 were fitted to an exponential curve giving a dimensionless bubble
growth timescale of τ = 0.47 corresponding to a dimensional
timescale of τ tscale = 1.28 s, in agreement with that predicted
from the analysis of the N1 + N2 ≫ 1 case. This can be compared with the value for carbonated liquids at the same total
pressure: 0.079 s. Fig. 2 shows the results of the numerical
simulations over the interval 0 < t < 1.
In conclusion, these analytic and numerical results suggest
that the mechanism of bubble formation described by LigerBelair et al. is potentially active in stout beers but acts much
4
The figure was constructed from the same movie of the bubbling process used for Fig. 3. Two hundred frames, corresponding to 8 s were extracted from the movie and rotated so
that the fibre shown in Fig. 3 was vertical. From each frame
the same column of pixels, passing through the centre of the
fibre, was extracted and those columns placed side by side to
construct a new figure: Fig. 4. This figure shows the evolution
of the gas pocket: its slow growth (as predicted by the model)
and then its rapid loss of gas to form an external bubble (as
assumed by the model).
VI. WIDGET ALTERNATIVES
FIG. 2. Results of the numerical solution of equations 9 and 10.
The black line shows the numerical solution, the grey line shows the
N1 + N2 ≫ 1 limit, and the dashed black line shows the ǫ ≪ 1
limit. (a) Rate of growth of the gas pocket. (b) Evolution of the
concentration of CO2 in the gas pocket.
more slowly than in carbonated drinks.
V.
EXPERIMENTAL CONFIRMATION
To confirm experimentally that cellulose fibres could nucleate bubbles in stout beer, we observed a canned draught
stout in contact with cellulose fibres (taken from a coffee filter). Before opening the can, we made a small hole in the
can to slowly degass the widget. This prevented it from foaming, which would have removed the dissolved gasses from solution. Using a microscope we observed that bubbles were
indeed nucleated from the cellulose fibres but at a relatively
slow rate. Fig. 3 shows bubbles nucleated by a gas pocket: the
three parts of Fig. 3 are frames taken from a movie.
Fig. 4 shows the growth of the gas pocket shown in Fig. 3.
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[2] M. Denny. Froth!: the science of beer. The Johns Hopkins
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[4] G. Liger-Belair, D. Topgaard, C. Voisin, and P. Jeandet. Is the
wall of a cellulose fiber saturated with liquid whether or not
The model developed above allows us to investigate the feasibility of an alternative foaming strategy for stout beers in
cans and bottles in which a coating of hydrophobic fibres on
the inside of the can is used to promote foaming. A typical
pouring time for a stout beer is 30 s. In this time about 108
postcritical nuclei must be released. A single fibre produces
one bubble every 1.28 s. Therefore about 4.3 × 106 fibres are
needed. If each fibre occupies a surface of area λ2 then the
total area that must be occupied by fibres is 8.3 × 10−4 m2
equivalent to a square with edge length 2.9 cm. This indicates
that such an approach may be possible.
VII.
CONCLUSIONS
A model of bubble formation in carbonated liquids has been
extended to the case of liquids containing both dissolved nitrogen and carbon dioxide. Taking values typical of stout
beers shows that bubble formation by this mechanism does
occur but at a substantially slower rate. This is consistent with
the observation that widgets are needed to promote foaming
in canned stouts. The possibility of replacing widgets with
an array of hollow fibre nucleation sites was investigated and
shown to be potentially feasible.
ACKNOWLEDGMENTS
We acknowledge support of the Mathematics Applications
Consortium for Science and Industry (www.macsi.ul.ie)
funded by the Science Foundation Ireland Mathematics Initiative Grant 06/MI/005.
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The role of nucleation sites. Langmuir, 18:1294–1301, 2002.
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5
FIG. 3. Bubble nucleation in stout from a cellulose fibre taken from a coffee filter. The scalebar is 50 µm in each figure. The arrows show:
1 a gas pocket in the fibre which nucleates a bubble; 2 the bubble fed by gas from pocket 1; 3 a bubble nucleated on the outside of the fibre.
(a) The air pocket (1) has reached maximum size. (b) The air pocket (1) has created bubble (2). (c) Bubble (2) has visibly detached from the
fibre, air pocket (1) is starting to refill with gas. (a), (b) and (c) are frames from a movie. (b) is 80 ms after (a), (c) is 520 ms after (a).
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champagne. Elements, 4:47–49, 2008.
FIG. 4. Growth of the gas pocket. This figure shows the growth
of the gas pocket within the cellulose fibre shown in Fig. 3. As in
Fig. 3 dark colours correspond to gas and light colours to liquid. The
columns of pixels from the frames corresponding to parts (a), (b) and
(c) of Fig. 3 are indicated. The location of the gas pocket indicated
by a (1) in Fig. 3 is shown.