H04014654

International Journal of Engineering Inventions
e-ISSN: 2278-7461, p-ISSN: 2319-6491
Volume 4, Issue 1 (July 2014) PP: 46-54
www.ijeijournal.com Page | 46
A strategy to choose process parameters for sustained operation
of nutrient mist reactor to grow hairy roots
Ritu Ranjan1
, Sambashiva Katuri Rao2
, Rajesh Khanna3
1,2,3
Department of Chemical Engineering, Indian Institute of Technology Delhi ( I.I.T.Delhi ), New Delhi -
110016, India
Abstract: Feed concentration and feed flow rate along with the relative durations of the mist-ON/ mist-OFF
cycles are the important process parameters for the growth of hairy roots in a nutrient mist reactor. The paper
presents guidelines for choosing these parameters for an efficient operation of the reactor with intermittent
mist-ON/mist-OFF cycles. It is based on a theoretical model of nutrient mist reactor at the root bed level and its
numerical simulation. This model describes the evolution of liquid holdup and concentration present in the root
bed. One can also run the reactor with intermittent mist-ON and mist-OF cycles, at very low cumulative mist-
ON duration for any given total run time to prevent any nutrient deficiency and water logging in the bed. It is
found that in some conditions mist has to be switched on for only about 10% of the total runtime while the mist
can be switched off for 90% of the total run time. The duration of both mist-ON / mist-OFF cycles are effected
by the process parameters and thus, the ratio of mist-ON time to total run time, may not follow any fixed trend
in some cases. The guidelines presented here will help in efficient operation and design of nutrient mist
reactors.
Keywords: Drainage rate, hairy root, mist deposition, mist-ON cycle/mist-OFF cycle, saturation.
I. Introduction
Hairy root culture are of particular interest for the production of high-value plant secondary metabolites
because these cultures are genetically stable, grow rapidly, and produce a spectrum and quantity of secondary
metabolites similar to that of the parent plant (Aird, 1988). Hairy roots produced by genetic transformation with
Agrobacterium rhizogenes are a potential means for manufacture of plant secondary metabolites (Verma and
Singh, 2008; Ferreira, 2005; and Kim, 2002). These can be generated from a large variety of species (Guillon,
2006) and a source of many important phytochemicals (Wyslouzil, 19997; Carvalho, 1998; Kim, 2001; Sudha,
2003; Weathers, 2005; and Lorence, 2004). Hairy root cultures have gained importance because of their stability
and ability to grow in a hormone free medium (Souret, 2003; Shanks, 1999; Sevon, 2002; and Parr, 1988). Their
root growth is very complicated due to its dense root
network and, branching processes (Sharp, 1990).
The unique growth pattern and fragile nature of hairy roots have led to many different reactor
configurations to avoid injuring the roots while optimizing the supply of nutrients and gases (Ranjan, 2008;
Srivastava, 2007; Sivakumar, 2006; Eibl, 2006; McAlister, 2005; Palazon, 2003; Pavlov, 2005; Pavlov, 2006;
Hilton, 1990; Taya, 1989; and Sharp, 1990). One of the successful reactors is nutrient mist reactor (NMR) which
is simple in design and economical for cultivation of hairy roots (Flores, 1992; Williams, 2000; Ramakrishnan,
2004; and Wilson, 1990). This is a gas phase reactor in which the liquid medium is introduced into the
bioreactor as a mist phase with very small droplets in the size range of 0.5 µm - 30 µm. NMR has definite
advantages such as easy operation, presence of gas phase, lack of shear, low pressure, ease in manipulating the
gas composition and effective gas exchange in a densely growing biomass and ease of scaling up (Towler, 2007;
and Liu, 1999). The mass transfer limitation of oxygen can be eliminated by using gas phase reactors. These are
unique because the gas composition in the reactor nvironment can be closely controlled; oxygen is not a limiting
factor and pressure drops and shear rates are both low (Weathers, 1999; and Williams, 1999). Industrial
production of secondary metabolites from hairy roots remains very challenging due to the complex fibrous
structure and dense root growth network (Srivastava, 2007). Furthermore, root growth is not homogeneous.
Growth of these valuable roots can be expressed in terms of increase in mass, number of tips and length. Also
the growth of hairy roots and the production of secondary metabolite depend on the availability and composition
of liquid media and gases at the root surface.
The availability of sufficient nutrients and oxygen to the root surface is very important for healthy
growth of root mass (Dilorio, 1992b; Dilorio, 1992b; Flores, 1992). Also, the amount of available nutrients in
this reactor is dependent upon the volume of mist which can be captured by the roots. Mist deposition is a key
step in the mass transfer of nutrients to the roots in mist bioreactors (Wyslouzil, 1997). It is important to
mention that the mist-ON/mist-OFF cycles determines the delivery of nutrients to the roots and also controls the
gas exchange in the growth chamber, and thus this parameter is critical for ensuring root tissue viability and

A strategy to choose process parameters for sustained operation of nutrient mist reactor to grow….
development. It is reported in literature that intermittent misting cycle helps in uniformly wetting the root
surface and the short intermittent misting cycle prevents severe clogging of the bed by previously captured
particles and allows time for liquid to drain from the roots between applications of the mist. The roots grow
well when the mist is supplied on an intermittent mist-ON/mist-OFF basis. Higher growth yields can be
achieved with increased droplet deposition and by manipulating the mist-ON/mist-OFF cycles (Towler, 2007).
It is also possible to sustain the performance by a continuous mist-ON cycle rather than an intermittent
mist-ON/mist-OFF cycles by choosing the processes conditions carefully. Once the root species is chosen then
the two major process conditions to be chosen are feed flow rate (F) and concentration of nutrients (Sucrose) in
the feed, (CF). For a continuous mist-ON cycle, the liquid holdup (H) and nutrient concentration in liquid layer
(C) reach its static values, which depend on the values of CF and F. For values of equilibrium specific liquid
holdup (HE) less than critical specific liquid holdup (HC) and equilibrium feed concentration (CE) more than
critical feed concentration (CC), the reactor can run indefinitely in the mist-ON cycle mode. HC and CC are the
maximum value of H and minimum value of C which are required to run the system in safe mode without any
mass transfer limitations of liquid and gas phase nutrients. While the reactor can now be operated without any
botheration of mist-ON/mist-OFF cycle, one misses out on the increased energy savings provided by periods of
mist-OFF cycle. In any case, intermittent cycles have to be analyzed to handle any unscheduled disruption in the
mist-ON cycle. Any estimation of the maximum cushion of down time before the mist-ON cycle must be started
is important in sustained production of hairy roots. An analysis of the intermittent mode of operation of NMR is
presented in the present contribution. It is based on numerical simulations of a mathematical model which
describes the evolution of liquid holdup and concentration.
II. Model Development And Numerical Simulations
Development of the mathematical model for an efficient operation of NMR has been shown in the
following steps and a schematic diagram of this reactor and root bed for intermittent mist ON/OFF cycle is also
shown in Fig. 1.
Fig. 1 Schematic diagrams of nutrient mist reactor and hairy root bed for intermittent mist ON/OFF cycle,
respectively
A mathematical model for the evolution of liquid holdup and feed (nutrient) concentration is
developed under the assumptions of uniform and complete mixing in the held up liquid. While, some deposition
is required for providing nutrients to the growing roots, any excess deposition will lead to increased holdup in
the form of a thick liquid layer along the root surface. This will impede gas transfer to the roots and the system
will behave as if it is a liquid phase reactor. Thus, the mist-ON cycle has to be stopped before such a condition
is reached. The deposited liquid will then reduce in volume through drainage and will result in the reduction of
mass transfer resistance. As no fresh nutrients are being fed, the deposited liquid gets depleted in nutrient
concentration resulting in reduced availability of liquid phase nutrients. Thus, the mist-OFF cycle also has to be
stopped before the concentration in the liquid layer goes below the essential level required for the specified
growth. The drainage rate has been modeled as proportional to difference between the specific dynamic liquid
holdup, volume of held up liquid divided by mass of the root bed (H), and its value at saturation (HS). The value
of proportionality constant (K2) for drainage have been taken for the literature (Raynor and Leith, 2000).
The effective feed flow rate per unit mass (F), is estimated based on the following argument. In a
typical reactor configuration, the root bed may occupy only a small fraction of the reactor volume, at least in the
early stages. The mist input flow rate at the inlet of the chamber may be held constant but the effective flow rate
into the bed may change as the root bed expands and come in contact with more mist. The effective flow rate to
the bed is likely to be governed by the relative dimensions of the bed and the reactor chamber. With the

dimensions of the reactor chamber remaining constant this translates to relative dimensions of the bed at
different times. One can intuitively see two extreme cases depending on whether the effective rate depends on
the relative surface area or relative volumes. If the droplet size is comparable to the void spacing between the
root hairs then most of them will deposit on the outer surface of the growing root bed. This will lead to relative
surface area dependence of the effective feed flow rate. On the other hand if the droplets are much smaller then
they will penetrate inside the bed and deposit there also, leading to a volume dependent effective feed flow rate.
Let „f0‟ and „f‟ denote the effective feed flow rate at the start (t = 0) and at any given time t, respectively. The
corresponding specific effective flow rates will be given by F0 = f0/MR0 and F = f / MR, where „MR0‟, and „MR‟
are the mass of the root bed at the start and at the given time t, respectively. If the density of the root bed
remains constant (F = F0), then the volume dependent case is characterized by
0
0
0
0
0
0
0 ; F
M
f
M
f
F
M
M
f
V
V
ff
RRR
R














 (1)
F keeps on decreasing steadily for the area dependent case and expressed by
3/1
0
0
3/1
00
0
3/2
0
0
0
0 ;


































R
R
R
R
RRR
R
M
M
F
M
M
M
f
M
f
F
M
M
f
A
A
ff (2)
Where MR0, and MR are the mass of the root bed at the start and at given time t, respectively. A0, V0 and A, V
represents area and volume of the root bed at start and at given time t, respectively. f0 and f denote the effective
feed flow rate at start (t = 0) and at any given time t, respectively. In general, specific feed flow rate is expressed
by








0
0
R
R
M
M
FF (3)
Where α is an exponent for effective feed flow rate, whose value depends on the size of droplets. The root
growth for first order kinetics is expressed by
R
R
M
dt
dM
 (4)
Where μ = Specific growth rate of the roots and is assumed to be constant.
2.1 Development of equations for mist-ON cycle
Taking into account all the assumptions made above, a mass balance for liquid and nutrients across
the root bed after time t, is expressed by
)()exp( 20 SHHKtF
dt
dH
  (5)
 
H
K
CCt
H
F
dt
dC
F
10
)exp( 





  (6)
Where K1 is rate of consumption by the roots per unit mass of the roots and K2 is proportionality constant for
drainage equation.
Analytical solution of the above set of Eqs. (4, 5 and 6) for the case of α = 0 and constant µ is
expressed by
 tMM RR exp0 (7)
 )exp(1 2
2
0
0 tK
K
F
HH  (8)
 
    









 t
F
F
tK
K
F
H
dtF
KCCF
KCCF
0
2
2
0
0
0
100
10
exp1
ln
(9)
Where MR0, H0 and C0 are the values at the start or at t = 0.

If one wants to operate at feed flow rates which are higher than the upper limit of H then one has to
stop the mist-ON cycle before H reaches to Hc. One can also estimate the maximum duration of mist-ON time
for continuous operation of the reactor (putting H = HC in Eq. (8) as expressed by
 
1
0
2
2
1ln
1















 SCC HH
F
K
K
T (10)
Where TC is the maximum duration of mist-ON cycle.
The mist has to be started again when C goes down to CC. The maximum duration of the subsequent
mist-ON cycles will depend on H value at the end of the preceding mist-OFF cycle. The lower limit of H is HS.
Thus, the subsequent mist-ON cycles have to be stopped earlier than TC. As a result, TC serves as an upper limit
for durations of all mist-ON cycles.
2.2 Development of equations for mist-OFF cycle
During mist-OFF cycle, the supply of the feed is stopped therefore feed flow rate becomes zero. So the
Eqs. (5) and (6) can be expressed by
)(2 SHHK
dt
dH
 (12)
H
K
dt
dC 1
 (13)
Specific liquid hold up across the root bed after time t for mist-OFF cycle is expressed by
   tKHHHH SCS 2exp  (14)
Nutrient concentration presents in the liquid at the end of mist-OFF cycle is expressed by
       HHtKHHH
HK
K
H
tK
CC SSCS
SS
E lnexpln 2
2
11
 (15)
Hence the maximum duration of mist-OFF cycle for an intermittent mist-ON/mist-OFF cycle (putting t = TM
and C = CC in Eq. (14) is expressed by
       





 HHTKHHH
HK
K
CC
K
H
T SMSCS
S
CE
S
M lnexpln 2
2
1
1
(16)
Where TM is the maximum duration of mist-OFF cycle.
Solutions for mist-ON/mist-OFF cycles were obtained by integrating the set of coupled Eqs. (5), (6),
(12) and (13), respectively in time as initial value problems by using NAG Library subroutine D02EJF. The
subroutine D02EJF is a variable order and variable time-step method which uses GEARS Algorithm to integrate
differential equations. It automatically chooses the required time steps and order. Simulations were performed
for various levels of error tolerance till the solution did not change with changing tolerance. Repeated solutions
for mist-ON cycle followed by mist-OFF cycle were used to simulate for the complete reactor. As both H and C
rise to steady state values during a continuous mist-ON cycle, the ON cycle was terminated for given values of
relative approach to steady state value of concentration (YON ), which is expressed by
NE
N
ON
CC
CC
Y


 (17)
Where, CN is concentration at the start of mist-ON cycle. Similarly, mist-OFF cycle was stopped for relative
approach to the CC as YOFF and expressed by
CO
O
OFF
CC
CC
Y


 (18)
Where, Co is now the concentration at the start of the mist-OFF cycle rather than that of the mist-ON cycle.
The numerical values for model parameters were estimated from the literature. Since a wide range of
such values has been reported, a suitable set is difficult to select. Consequently, parameter values were chosen
or estimated such that they were within the practical ranges for the root culture system. The values of
parameters, used to simulate the results are shown in Table 1. Simulations were performed with a large number
of parameter values with in the range of reported/practical values. The specified growth rate has to be decided
upon first. The growth rate achieved in the shake flask experiments can be a good guideline for the reasonable
values.

Table 1. Physical parameters used in the model
Parameters Values References
Nutrient concentration (Sucrose)
in feed, CF
50 g/L (Kim, 2001)
(Towler, 2007)
Specific growth rate, µ 0.2 day-1
(Kim, 2002)
(Towler, 2007)
Feed (Mist) flow rate, F0 0.1 mL/day/mg (Towler, 2007)
Mist droplet capture efficiency, η
0.1 (Wyslouzil, 1997)
Initial root mass, MR0 100 mg (Towler, 2007)
Density of the roots, ρR 1000 mg/mL (Towler, 2007)
Diameter of root, Df 1 mm (Wyslouzil, 1997)
Diffusivity Coefficient in liquids,
D 0.72 mm2
/day (Raynor, 2000)
Liquid film thickness, LF 0.1 mm (Raynor, 2000)
Critical concentration , CC 5 mg/mL Calculated
Specific liquid holdup at
saturation, HS 0.01 mL/mg Towler (2007)
Proportionality constant for
growth equation, K1 0.3 day-1
(Kim, 2002)
Proportionality constant for
drainage rate, K2 4 day-1
Calculated
Critical liquid holdup, Hc 0.04 mL/mg Calculated
III. Results And Discussions
The objective of the present work is to study process parameters (duration of mist-ON/ mist-OFF
cycles, feed flow rate and feed concentration) for an efficient operation of NMR. The following results are
discussed for the case when mist is supplied on intermittent mist-ON/mist-OFF basis. Fig. 1 presents the
evolution of C and H during repeated mist-ON/mist-OFF cycles for different YOFF. Other parameter values are
F0 = 0.1 mL/day/mg, CF = 50 mg/mL, K1 = 0.3 per day, K2 = 4 per day, HS = 0.01 mL/mg, HC = 0.04mL/mg, CC
= 5 mg/mL and YON = 0.99. The evolution settles into a steady almost periodic behavior very quickly. Both C
and H rise steadily towards CE and HE during the mist-ON cycle. The rate decreases as they reach close the
equilibrium values. The rise is arrested as mist-ON cycle reaches at a value, YOFF = 0.99. Both C and H start
decreasing as the mist-OFF cycle starts. Different cutoffs for mist-OFF cycle shows that the duration for mist-
OFF cycle is different in each case with larger cutoffs resulting in larger durations.
Fig. 1 The evolution of concentration and specific liquid holdup during repeated mist-ON / mist-OFF cycles for
different YOFF . Solid lines, dashed and dotted lines correspond to YOFF = 0.99, 0.75 and 0.5, respectively.
Fig. 2 presents results for the same system for a constant YOFF and variable YON. Other parameter
values are F0 = 0.1mL/day/mg, CF = 50 mg/mL, K1 = 0.3 per day, K2 = 4 per day, HS = 0.01 mL/mg, HC = 0.04
mL/mg, CC = 5 mg/mL, YOFF = 0.99. Once again the evolution looks periodic. It is interesting to see that the

corresponding cutoff for H is again much different from that of the C. It is observed that the evolution of C is
mostly controlled by K1 and less and indirectly controlled by K2 through H. The evolution of H on the other
hand, is governed by K2. For this particular choice of K1 and K2, H evolves faster than C. For some other
combination of K1 and K2, H may evolve at a slower rate. It is also not feasible to choose very low value of
mist-ON cycle because the system will operate closer to CC. Hence it is always feasible to operate the reactor
slightly above this value.
Fig. 2 Variation of concentration and specific liquid holdup with time for a constant YOFF and variable YON .
Solid lines, dashed and dotted lines correspond to YON = 0.99, 0.75 and 0.5, respectively.
Fig. 3 presents the variation of ratio of cumulative duration of mist-ON cycles and the total running
time (RON) with fractional value of YOFF for different process conditions. Other parameter values are F0 =
0.1mL/day/ mg, CF = 50 mg/mL, K1 = 0.3 per day, K2 = 4 per day, HS = 0.01 mL/mg, HC = 0.04 mL/mg, CC = 5
mg/mL, YOFF = 0.99-0.05, YON = 0.99. An intermittent operation is preferred over a continuous one, so that the
reactor can be operated in an economical (power saving) and feasible manner. The values of HS, HC, CC, K1, K2
have been kept constant whereas CF and F have been varied. An increase in YOFF results a decrease in RON
which also shows the increase in duration of mist-OFF cycle and corresponding decrease in mist-ON cycle. An
increase in CF leads to decrease in RON for longer duration of mist-OFF cycle. CE increases with CF and for a
constant CC, the permissible value of the concentration decay during the mist-OFF cycle is higher. It is also
observed that an increase in Fo, leads to decrease in RON. Also, higher value of F leads to a shorter duration of
mist-On cycles as the required buildup of the concentration is achieved at a faster rate. It does not effect mist-
OFF cycle duration as CE , CC and the decay of concentration during mist-OFF cycle remains unchanged. It is
also observed that there is no influence of CF on the decay rate.
Fig. 4 Variation of ratio of cumulative duration of mist-ON cycles and the total time (RON) with fractional value
of YOFF for different values of CF and F, respectively. Solid lines, dashed, small dash and dotted lines
correspond to CF = 60, 50, 25 and 10 mg/mL, F = 0.05, 0.1, 0.2, 0.3 mL/day/mg, respectively.

Fig. 5 and Fig. 6 present the effect of the drainage constant K2. Other parameter values are F0 =
0.1mL/day/mg, CF = 50 mg/mL, K1 = 0.3 per day, HS = 0.01 mL/mg, HC = 0.04 mL/mg, CC = 5 mg/mL, YOFF =
0.99, YON = 0.99. The results for K2 = 1 per day have already been presented in previous graphs. The evolutions
of C and H are presented in Fig. 5. The variation of ratio RON with YOFF is presented in Fig. 6. It is observed that
increasing the value of K2 or drainage will result decrease in liquid holdup (Eq. (5)). During this period, HE is
also reduced (Eq. (6)), whereas CE is not affected at all (Eq. (7)). This is corroborated by the results shown in
Fig. 5 where solid, dashed, short dashed and dotted lines show progressively smaller slopes for both in the
buildup and decay branches. The corresponding mist cycle durations are also reduced. The overall change in
concentration remains constant in each cycle as the cutoff are in terms of equilibrium and critical concentrations
which are not affected by change in K2. Thus, faster rates translate to faster cycle durations. The rate of change
of liquid holdup decreases as holdup reaches the saturation value. The dotted line in Fig. 5 for K2 = 16 per day
shows that most of the down cycle is carried out at liquid holdups close to HS which is resulting in higher rate
of change in concentration value. The duration of both the cycles are affected by the drainage rates. Depending
on which cycle is affected more, the ratio RON will change likewise. The somewhat erratic behavior (Fig. 6) of
RON, where it first increases and then decreases with K2, proves this point and emphasizes the necessity of
numerical simulation.
Fig. 5 Variation of concentration and specific liquid holdup with time for a constant YOFF and variable K2. Solid
lines, dashed, small dashed and dotted lines correspond to K2 = 2, 4, 8, 16 per day, respectively.
Fig. 6 Variation of ratio of cumulative duration of mist-ON cycles and the total running time (RON)
with fractional value of YOFF for different value of K2 . Solid lines, dashed, small dash and dotted lines
correspond to K2 = 2, 4, 8, 16 per day, respectively.
IV. Conclusions
A mathematical model has been developed to study the process conditions for an efficient operation of
NMR for the growth of hairy roots. It is based on a theoretical model of NMR at the root bed level and its
numerical simulation. This model describes the evolution of liquid holdup and concentration present in the root
bed. This analytical solution to the model can lead to run the reactor with intermittent mist-ON and mist-OF
cycles, at very low cumulative mist-ON duration for any given total run time to prevent any nutrient deficiency
and water logging in the bed. Higher flow rates will lead to water logging and lower flow rates can lead to

unacceptable high feed concentrations. Lower mist concentrations lead to requirement of high flow rates which
may again lead to water logging. Thus, mist concentration has to be more than a critical value and flow rate has
to lie within a range for operating a reactor in continuous mist-ON mode. Numerical simulations are used to
understand the reactor performance for intermittent mist-ON and mist-OFF mode. A reasonable cut-off criterion
for switching between ON-OFF cycles can be in terms of fractional approach to the end concentration for each
cycle. The end concentration for mist-ON cycle is the equilibrium concentration and that for the mist-OFF cycle
is the critical concentration. The gross efficiency of the reactor operation can be given in terms of the ratio of
cumulative durations of the mist-ON cycles to total runtime, RON. In some cases, it assumes very low value of
10% meaning that the mist can be switched off for 90% of the time. The duration of both the mist-ON and mist-
OFF cycles are effected by the process parameters and thus, the ratio RON, may not follow any fixed trend in
some cases. It is expected that these guidelines presented here will help in efficient operation and design of
NMRs. More experimental data is needed to study the engineering aspect of hairy root technology in detail in
future.
Acknowledgements
The authors wish to express their sincere thanks to the Department of Science & Technology (D.S.T.),
Government of India, New Delhi, India for providing financial support for this project work.
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