Prepare as Communication or Concept(
Prepared as a Review article in Nature
Great expectations: Can artificial molecular machines deliver on
their promise? Ali Coskun1, Michal Banaszak3, Raymond Dean
Astumian4, J. Fraser Stoddart1*, and Bartosz A.
Grzybowski1,2*1Department of Chemistry and 2Department of Chemical
and Biological Engineering, Northwestern University, Evanston IL
60208
3 Faculty of Physics, Adam Mickiewicz University, Poznan,
Poland
4Department of Physics, University of Maine, Orono ME
04469ABSTRACT: The development of mechanical devices powered by
artificial molecular machines is one of the major goals of
nano-science. Before the epiphany happens, however, we must learn
how to both control the switching of individual molecules and also
arrange them into organized, hierarchical assemblies from which
significant packages of energy can be harnessed. While for
individual molecular machines the effects of thermal noise are of
paramount importance, the challenges inherent to machine ensembles
lie in our ability to control their spatial ordering (e.g., into
linear chains and then into muscle-like bundles) and mutual
influence in terms of switching kinetics. In the latter context,
situations where all modules switch synchronously appear desirable
for maximizing mechanical power generated; when the units switch
out of phase, the assemblies could develop intricate spatial or
spatiotemporal patterns .Assembling and controlling synergistically
artificial molecular machines housed in highly interactive
architectural domains is a contemporary challenge for chemical
synthesis and nanofabrication.
For over two decades now, the vision of switchable molecules
acting as nanomachines of the future has inspired chemists ADDIN
EN.CITE 1-4, physicists5,6, and nanoengineers ADDIN EN.CITE 7,8
alike. Despite tremendous progress in the synthesis of evermore
complex molecular switches ADDIN EN.CITE 3,9, however, the aim of
harnessing useful work/energy from these molecules has not yet been
achieved. To be sure, there has been some ingenious examples of
systems where molecules do act as primitive machines: bistable
rotaxanes bending small cantilevers10, liquid crystals doped with
molecular rotary motors spinning macroscopic objects11,
liquid-crystal elastomers incorporating photochromic molecules
driving macroscopic pulleys12, or molecular motors propelling
nanoparticles in solution13. But these examples are few, and their
performance characteristics (efficiency, power generated, etc.) are
still far from those required of working machines. The question
that naturally arises is whether future progress in the field will
require only diligent optimization, or whether there are some
fundamental roadblocks that need to be circumvented before
synthetic molecular machines achieve their anticipated potential.
An equally prominent and timely question is at what scales these
machines should operate? As we see it, there are two parallel
routes for further progress. The first is to develop molecular
machines that would perform useful tasks at their own scales:
transporting molecular or nanoscopic cargo, manipulating or
fabricating other nanostructures. On the opposite end of the
spectrum lie machines performing useful operations on scales much
larger than molecular. In this regime, however, it is clear that
individual molecules are not going to be able to move or manipulate
loads orders of magnitude more massive than themselves. This, we
argue, is going to be possible only if individual molecular
machines are assembled into larger structures, within which they
work in synchrony to perform macroscopic tasks or build macroscopic
structures. The dichotomy between the micro- and macroscale uses of
molecular machines is also reflected in the theory that needs to be
developed with individual molecules, at the microscale, stochastic
effects need to be considered; with machines assembled into larger
structures, more deterministic models can become suitable. Overall,
we suggest that the future of molecular machinery appears to be
bright provided we can depart from the conventional thinking of
these unique molecules as miniaturized machines and, instead, apply
them in situations where their unique potential can be harnesses to
the fullest possible extent.
The building blocks and the limitations of acting alone.
Molecular switches come in a variety of forms and flavors (Table
1), and can be actuated chemically, electrochemically, or by light
irradiation. The essence of switching is that an external stimulus
causes a geometrical change depending on the specific system,
switchable molecules can translate their internal parts from one
station to another (as in bistable rotaxanes14), can shrink or
expand (as in daisy-chains
15-19 ADDIN EN.CITE ), rotate (as in Feringas and Kelly`s
molecular motor systems
11,13,20,21 ADDIN EN.CITE ), or pivot about an internal axis (as
in Aida`s scissor-like molecules22). When these molecules are
attached to external objects, their structural rearrangement can
give rise to net translation, rotation, or both.
Let us consider a very simple switch
DEAN: I THINK WE NEED TO MENTION DAVID LEIGHS WORK HERE. MOST
IMPORTANTLY, THE REST OF THIS PARAGRAPH, WHICH I COLOR YELLOW,
PROBABLY HAS TO BE ENTIRELY REWRITTEN ALONG THE IDEAS YOU HAVE
PRESENTED DURING YOUR VISIT. WE THINK THAT SOME EQUATIONS AND, SAY,
ONE FIGURE WOULD ALSO BE VERY USEFUL. FRASER AND I LEAVE THIS PART
ENTIRELY UP TO YOU. WE CONCENTRATE ON THE ASSEMBLY PART LATER IN
THE TEXT Let us first consider (i) the typical forces the switches
can generate, (ii) the typical actuation distances they can affect,
and (iii) the amount of work they can generate. The forces have
been measured directly in several model systems using atomic force
microscopy (AFM). For example, Hugel et al.23 found that a polymer
comprising ca. 50 azobenzene units can, upon light irradiation,
generate a force of f ~200 pN, change the distance between its ends
by ~0.22 nm, and perform useful mechanical work of 4.5(10-20 J or
~10-21J per one azobenzene unit. This result is certainly not a
spectacular one, given that the characteristic thermal scale at
room temperature is kT ( 4(10-21J it follows that an individual
azobenzene molecule cannot even beat the thermal noise, which
precludes its applicability as a sensus stricte machine. More
promising are the switches based on the rotaxanes, where each
rotaxane molecule can generate forces in tens of pN owing to large
electrostatic effects and give rise to displacements of 1-2 nm
24,25 ADDIN EN.CITE . These parameters translate into
characteristic work that a molecule can produce on the order of
tens of kTs (e.g., 20 pN (2 nm ( 10kT at 293 K) which is, at least
in principle, sufficient to overcome the effects of thermal noise
and comparable to the typical work generated by biological motors
such as dyneins26,27 (force ~ 6 pN, displacement per step ~8 nm,
velocity ~5.3 ((m s(1, total travel distance up to 100 nm) or
kinesins
28-31 ADDIN EN.CITE (force ~5-7 pN, step~8 nm, velocity ~ 570 nm
s(1, total travel distance ~500 nm). Unfortunately, these promising
estimates do not necessarily scale with the numbers of molecular
machines present in the system. Since the forces add vectorially,
random collections of individual, unconnected and/or uncorrelated
machines give rise neither to net force nor to useful work. For
practically relevant, macroscopic effects, molecular machines need
to work in unison.Machine collections and the benefits of being
ordered. Biological systems know these benefits well and virtually
all collections of biological motors are spatially (and often
temporally) synchronized dyneins and kinesins align along
cytoskelatal fibers, rotary flagellar motors comprise a circular
array of ion pumps and other proteins, while skeletal muscles can
generate mechanical energy by the cooperative actions of myosins
aligned parallel to one another within sarcomers building up
myofibrils. The spatial arrangement is also crucial for the
functioning of the few artificial systems in which molecules have
been shown to move large loads. Although an individual azobenzene
is not an efficient machine, a linear polymer of azobenzene unit
can give rise to microscopic displacements (Fig. 1a); a monolayer
of rotaxane molecules can bend a macroscopic cantilever (Fig. 1b);
a liquid crystalline film doped with molecular motors11 can rotate
objects 10,000 times more massive than the size of the individual
motor molecule (Fig. 1c). These examples suggest that if arranged
into large and ordered superstructures, molecular machines can,
indeed, perform macroscopic tasks. An important theoretical
observation here is that in such large collections, stochastic
effects should be negligible as noise scales with inversely with
the number N of individual molecules involved. REFERENCE TO LANDAU
& LIFSHITZ, STATISTICSAL PHYSICS consequently, one can then
describe such systems in terms of their bulk thermodynamics. Let us
consider some possible arrangements.
Probably the most trivial ordered architecture is a monolayer
comprising N switches assembled onto a solid surface. With modern
surface chemistry, it is possible to graft or assemble up to ca. N
= 1014 molecules per cm2 (as in SAMs on gold ADDIN EN.CITE 32,33).
Assuming that the switches all stand up on the surface, and that
upon stimulation each switch exerts 10 pN force (as in the case of
rotaxanes24), one square centimeter of such a monolayer can push
upwards an object weighting 100 kg! The problem is, of course, that
for the typical switching distances, this heavy load is moved
merely by |(L| ~ 1 nm (see above ADDIN EN.CITE 24,25) and the work
performed is only 10-7J.
An improvement that naturally comes to mind, is an arrangement
in which the switching units form linear chains attached to a
supporting surface (n chains at grafting density, (). Approximating
each switch as a cylinder of radius R and length L (upon
stimulation, expandable or shrinkable byL) and assuming that each
chain comprises N switching units (see Fig. 2a), the tools of
polymer physics can be used to estimate the free energy, F, of the
system, and the equilibrium height of the polymer brush, Heq. In
the regime of sparse surface grafting, the chains are partly coiled
(Fig. 2b), and the so-called Alexander model34 of polymer brushes
can be applied to estimate equilibrium values and , where
superscript i denotes the initial state, and w is the excluded
volume (for derivation of this and other formulas, see Supporting
Information, SI). When, upon stimulus, the switches expand (or
contract) from L to L+L, then the polymer chain relaxes to a new
equilibrium brush height, . Importantly, the work that can be
retrieved in this process is . For typical dimensions of the
switching unit (R, L, |(L| all on the order of 1 nm) and for sparse
grafting densities of the brushes (dimensionless grafting density
of, say, (w/L ~ 1/100), a chain of 50 switching units can
extend/contract by |(H| ~ 3 nm and perform work (W ~10-3 kT (or
4(10-24 J). While the degree of extension/contraction is reasonably
close to the experimental value recorded for azobenzene 50-mers,
the predicted amount of work is four (!) orders of magnitude
smaller than measured by Hugel et al.23.
The reason for the discrepancy is that in experiments, the
azobenzene polymer was pre-stretched by the AFM probing tip in
other words, it was substantially extended rather than coiled-up,
and the individual displacements added up. This situation
corresponds to the so-called strong-stretching regime of
polymers35, where the work performed by the extending chains is
well approximated by with and . For experimental parameters close
to those of the azobenzene example (N = 50, NL = 90 nm, NL= -6 nm,
Hi = 50 nm), the calculated work this expressions predicts is W (
10 kT, close to the experimentally observed value.
The conclusion from these considerations is that in order to
maximize the bang-for-the-buck, molecular machines should be
lined-up along the direction of actuation as straight and stretched
as possible. Experimentally, this objective can be achieved either
by packing the chains densely on a surface (Fig. 2c) or by
arranging them into muscle-like bundles (Fig. 2d). The close-packed
surface grafts could perform substantial amounts of work for
instance 1014 of 500-mer chains assembled onto 1 cm2 of area could
perform work of W ( ~5x10-5 J, enough to actuate a small cantilever
or a read/write head. Even higher values can be achieved with
longer grafts (since W scales with N). On the other hand,
miniaturization of such surface-based, planar systems could be
problematic, since it would require either cutting the surface into
smaller pieces or surface growth initiated from small islands from
which the grafts could grow sideways rather than straight-up. In
this respect, bundles of chains assembled in solution appear more
promising, especially for applications such as molecular muscles
actuating various nano- and micromachines. We note, however, that
in such applications, the bundles should be relatively stiff, such
that the underlying actions of the molecular switches/machines
translate into productive displacement/work. Basic mechanical
considerations tell us that the persistence length, ( i.e., the
characteristic distance over which a tubular bundle does not wiggle
(see Fig. 2d) scales as EI/kT 36 where E is the Youngs modulus and
I is the moment of inertia proportional to the bundles
cross-sectional area, A. This scaling of I with A implies that ( is
proportional to the number, M, of individual chains forming a
bundle. Since a typical polymer chain has a persistence length from
about 1 nm (polystyrene) to about 50 nm (DNA), it then follows
that, in order to make bundles stiff over micrometer distances, one
should line up hundreds of individual chains of molecular machines.
Developing self-assembly/synthetic methods that yield such
structures without lateral entanglement of the individual chains
should be a worthy challenge for supramolecular and
mechanostereochemists.
Power generation and energy storage. Having outlined the
possible strategies for making the operation of molecular machine
assemblies efficient, let us now reflect on their capacity to
generate power and to store energy. Relevant to our discussion is
that irrespective of the exact molecular nature, molecular
switches/machines can be characterized by a double-well free energy
landscape whose minima corresponding to states before (Fig. 3a) and
after (Fig. 3b) application of the stimulus and its removal (Fig.
3c). Typically, the difference between the free energies of these
two forms, (F, is few kcal/mol (e.g., ~2 kcal/mol for bistable
[2]rotaxanes and catenanes, and ~10 kcal/mol for azobenzenes), and
the free energy barrier separating them, , is usually in the teens
to few tens of kcal/mol (e.g., 23 kcal/mol for azobenzenes or 17
kcal/mol for rotaxanes37). The barrier height controls the rate of
conversion, k, between the machines States and is important for its
power output and also for potential energy storage
characteristics.
For thermal relaxation, the rate of conversion from, say, State
2 to State 1 is given by the Eyring equation38, , which for the
typical barrier heights and at room temperature is on the order of
0.1-1.0 s-1. This rate means that the characteristic relaxation
times, (rlx = 1/k, are usually in seconds and the peak powers the
machines can generate are on the order of P ( k(F ~ 1-10 kW/mol.
For comparison, an insect weighting 4 g needs about 0.5 W to power
its flight.
Some more practical observations regarding power generation are
in order: Firstly, the effective heights of the barrier a
separating machines energetic minima can be made relatively smaller
by destabilizing one of these states this is a common strategy in
donor-acceptor rotaxane-based systems38 where oxidation of one
station increases the electrostatic potential energy and
accelerates relaxation/switching toward the other station (Fig. 3b)
to (rlx ~ ps for the bistable rotaxanes containing a redox-active
tetrathiafulvalene station or (rlx ~ 3.7 s in surface-immobilized
rotaxanes under electrical bias39. These rapid switching times
correspond to powers well exceeding MW/mol! albeit delivered only
during very short (rlx times, and thus of limited practical
applicability. The second observation relates to systems in which
switching is achieved either by chemical or by electrochemical
means in such cases, it must be remembered that chemical switching
involves diffusive transport, a phenomenon which limits the overall
speed of the process. In our recent work40, we have shown that the
switching in donor-acceptor pseudorotaxane-based aggregates is
slowed down from milliseconds to minutes or even hours on account
of diffusional limitations. While electrochemical control can be a
viable alternative (e.g., with rotating-disk electrodes avoiding
diffusion-related problems), the most rapid toggling of the
machines could, in principle, be achieved using light stimuli,
where delivery of the switching impulse is virtually instantaneous.
Incidentally, it is the light switchable systems that also offer
the highest measured efficiencies of over 40% (Table 1), a
percentage which compares favorably with, for example, the 15%
efficiency of car engines.
In some energy-related applications, however, high speed of
switching is not always desirable. The case in point here is energy
storage, where one would like to freeze the machines in the high
energy state for a long time, and retrieve the energy only when
needed and on demand. For this scenario to be realized, the rate of
relaxation during the storage phase should be as small as possible
this objective can be achieved by embedding the switches in a solid
matrix (e.g., a polymer) or by dense packing (e.g., on a surface).
For example, the relaxation times of azobenzenes co-polymerized
with poly(dimethyl siloxanes) are tens of minutes. For
donor-acceptor rotaxane-based systems, it has been shown38 that the
values of (rlx increase by over three orders of magnitude from few
seconds to ca. 1 h ( when these molecules are confined to a dense
monolayer; in viscous polymer solutions, the values of (rlx are
typically in tens of seconds. Another approach to increase (rlx is
to incorporate into the machines switchable valve motifs. An
illustrative example here is in some recently reported research41
where an azobenzene speed bump was introduced between the two
stations in a donor-acceptor [2]rotaxane. In the more linear trans
state of the azobenzene, the ring on the rotaxane system can
shuttle between the two stations, but when the azobenzene valve is
isomerized to the cis form, its steric bulk hinders the shuttling
process and the rotaxanes states can be sustained in suspended
animation for several hours at least.
Beyond mechanical function. In our discussion so far, we have
tacitly assumed that when layered or bundled together, all the
constituent molecules perform their switching functions
synchronously and without mutual interference. While this mode of
operation is ideal for performing mechanical work (everyone working
together), interesting situations can arise if the molecules
influence the switching kinetics of their neighbors. In the case of
two-state switches, a switching of one molecule can either promote
or hinder the switching of its neighbors. The first of these cases
can be of interest in situations like chemical signaling,
illustrated in Fig. 4a, where an impulse at one location of a
monolayer of switches triggers a propagation of a switching front,
much like in biological calcium waves and related phenomena S. Soh,
M. Byrska, K. Kandere-Grzybowska & B.A. Grzybowski*
Reaction-Diffusion Systems in Intracellular Molecular Transport and
Control, Angew. Chem. Int. Ed. 49, 4170-4198 (2010). Since for some
types of molecules we have been discussing, switching occurs on
microsecond time-scales and the linear density of the switches
within a densely-packed assembly is on the order of 107 molecules
per 1 cm, one can approximate the speed of front propagation in
mm/sec, which is comparable with the speeds achievable in the
so-called active chemical media. By analogy to these media, one
could also imagine that periodic forcing of the system would result
in the development of spatiotemporal patterns. Such patterns could
also form even without periodic forcing in situations when there is
negative coupling between the switching units (i.e., one switch
hapmers the switching of another). In this case,
statistical-physical considerations suggest that if the system is
spatially bound (e.g., a crystal in Fig. 4b), not all molecules can
be in the same state but, instead, one should expect formation of
finite size domains within the material. MICHAL, HERE WE NEED YOUR
INPUT ON ANTIFFEROMAGNETS, FRUSTRATION EFFECTS ETC. ALSO, PLEASE
SEE THE CAPTION TO FIG 4 These types of phenomena are largely
unexplored but, we believe, the current solid-state synthetic
methods are available to realize them. In particular, molecular
organic frameworksALI, NEED ONE REF HERE, MOFs, appear to be very
promising scaffolds whereby switchable molecules can be distributed
on a regular grid and with distances (and, thus coupling
constants!) adjusted precisely by the length of molecular
struts.
In summary, we believe that the combination of structural and
dynamic control offers some truly exciting challenges and, yes,
opportunities! for molecular and macromolecular-level engineering,
for self-assembly, and more generally, for chemistry and physics
applied to molecules that can reside in and be toggled between
non-equilibrium configurations. In the latter context, the field of
non-equilibrium phenomena has been so far somewhat constrained by
the scarcity of suitable molecules and experimental systems. Now,
molecular machines and their assemblies can expand the available
non-equilibrium toolbox well beyond the Belousov-Zhabotinski or
Turing-type media.
Table 1. Popular switches categorized by the type of motion and
mode of actuation. Energetic parameters are included when
available. Symbols used: ( ; efficiency, (L; distance of actuation,
(( ; angle of actuation, f (pN); force generated, W (kT); work
performed.
TYPE OF
MOTIONTYPE OF ACTUATION
CHEMICALREDOXLIGHT
Rotaxanes; (i) (L = 1 nm, f = 200 pN42. (ii) (L = 1.3 nm, f =
145 pN24. Rotaxanes; (i) Metal-Templated43. (ii) H-Bonded44. (ii)
Donor-Acceptor45. Rotaxanes: (i) ( = 0.4, W = 3.65 kT25 (ii) (L =
1.3 nm, ( = 0.1246. (iii) (L = 0.7 nm47.
NA Azobenzene48Azobenzene ADDIN EN.CITE 12,49-51: (i) ( = 0.152.
(ii) (L = 0.7 nm, f ( 0.026 pN53. (iii) ( = 0.1, (L = 0.25 nm, W =
10.9 kT
23,54 ADDIN EN.CITE . Diaryethenes: ( ( 0.46, (( = 7o.55
Stilbene56.
Molecular Muscles: (i) (L = 1.8 nm
17,19 ADDIN EN.CITE . (ii) (L = 0.9 nm
15,16 ADDIN EN.CITE . Rotaxanes; (L = 1.4 nm, f ( 650 pN
10,57 ADDIN EN.CITE .
Molecular Muscles: (i) (L ( 0.7 nm18,58.
(c) Molecular Rotors: (i) ((= 120o21. (ii) ((= 360o20. (a) A
[2]Rotaxane, ((= 180o59. (b) [2]Catenane; (i) ((= 180o60,61. (b)
[3]Catenane, ((= 360o62. (c) Spiropyrans: ( = 0.1, ((= 180o63.
Fulgides: ( = 0.12, (( ( 90o. Thioindigo: (( ( 180o64. Molecular
Rotors: (i) ( = 0.07 0.5565, (ii) (( = 360o
11,13 ADDIN EN.CITE . Nanocars66.
NANAMolecular Scissors67. (i) (L = 0.7 nm, ( = 0.1, ((=
49o22,68.
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Supplementary Information accompanies the paper on
www.nature.com/nature.Acknowledgements This work was supported by
the Non-equilibrium Energy Research Center which is an Energy
Frontier Research Center funded by the U.S. Department of Energy,
Office of Science, Office of Basic Energy Sciences under Award
Number DE-SC0000989.Author Contributions The ideas presented here
were developed jointly by B.A.G and J.F.S.. B.A.G. , M.W. and
R.D.A. developed the theoretical models for the manuscript. All
authors participated actively in the writing of the manuscript.
Author Information Reprints and permissions information is
available at www.nature.com/reprints. Correspondence should be
addressed to B.A.G ([email protected]) and J.F.S.
([email protected]).
CAPTIONS TO THE FIGURES
Figure 1. Artificial molecular machines can perform mechanical
work. (a) Schematic representation of the operation cycle for the
polymer containing azobenzene units. Under light irradiation (h(),
azobenzenes undergo trans(cis isomerization, resulting in force f
and displacement (H of the attached object. (b) Electrochemically
switchable palindromic bistable rotaxanes tethered onto the surface
of a gold microcantilever control the cantilevers reversible
bending (c) (i) Rotation of a glass rod on a liquid crystal layer
doped with a motor molecule switchable by UV light. Frames are
taken at 15 s intervals and show clockwise rotation of 0, 28, 141,
and 226(, respectively. Scale bars: 50 (m.. (ii) Structural formula
of the motor molecule. Principal axis indicates the clockwise
rotation of the rotor part in a cycle of two photochemical steps
(red arrows), causing the isomerization around the central double
bond, and two thermal steps (blue arrows). The pictures in (C) are
reprinted with permission from Ref 11.
Figure 2. Machine Assemblies Muscle-up. (a) An expandable
muscle-like molecule (cf. Table 1) and its simplified
representation as a cylinder of radius R and length L (upon
stimulation, expandable by (L). The molecules form linear chains of
N switching units. These polymers could be attached to a supporting
surface as (b) sparsely, as partly coiled polymer brushes or (c)
densely packed, as stretched chains. Another interesting
arrangement is that of muscle-like bundles (d) comprising M chains,
and with crossectional area A and persistence length (.
Figure 3. Qualitative free energy diagrams of a molecular switch
(here, a bistable rotaxane) during actuation. (a) Ground-state
co-conformation, in which the ring (blue) preferentially binds to
the green station. (b) Oxidation of the green station (to yellow)
causes the ring to shift over to the red station. (c) Upon
reduction, the blue ring resides on the red station (metastable
co-conformation) before relaxing back to the ground state. Figure
4. Possible collective phenomena in ensembles of coupled molecular
machines. (a) When switching of one molecule causes the neighboring
molecules to switch, it can create a domino-like affect propagating
as a reaction-front. Here, this situation is illustrated for the
case of a monolayer of two-state molecular machines. (b) When the
switching of one unit hampers the switching of its neighbors, one
can envision assemblies in which the states of nearby machines
alternate, much like in a antiferromagnet. MICHAL, PLEASE DISCUSS
THE RIGHTMOST PLOT THAT, IF THERE IS FRUSTRATION ON THE LATTICE,
THE ORDERING CAN GIVE RIGHT TO LARGER-SIZE DOMAINS, YES? (c) ALI,
PLS SEE BELOW FIG 4 EXPERIMETNAT 1010101010 CRYSTAL STRUCTURE, LIKE
THE ONE DISCUSSED IN (b)
Figure 1
Figure 2
Figure 3
Figure 4.ALI: REMOVE A. RENUMBER B,C. AS NEW C, YOU MENTIONED
YOU HAD SOME REAL CRYSTAL STRUCTURE ILLUSTRATING THE ALTERNATING
ARRANGEMENT OF ON AND OFF ROTAXANES> COULD YOU INCLUDE THIS
STRUCTURE AS C?
Supporting Information for Manuscript entitled On the energetics
of molecular machines and of their assemblies by Ali Coskun, Michal
Banaszak, J. Fraser Stoddart, and Bartosz A. GrzybowskiIn the
following, we derive the equations describing free energy changes
of grafted polymers of molecular switches.
(1) Sparse grafting. The first case we consider deals with the
case of the sparsely-grafted polymer brushes and, in general terms,
derives from the Alexanders coarse-grained model (33). The polymer
brush is characterized by following parameters:
H brush height, polymer end-to-end distance
L length of single segment, assumed equal to the Kuhn length
N number of statistical segments (proportional to the degree of
polymerization)
N L polymer contour length
n number of grafted chains
V total volume of the brush
S area of the surface from on which the brushes are grafted
(note that V= S H) = N n /V (monomer concentration)
grafting density; n= Sw excluded volume parameter; w = (1-2) v,
where v is of the order of the segments volume
Flory interaction parameter, a small number for a good
solvent
This system can be described by the free energy, F, per chain in
kT units, , where the elastic (entropic) contribution is and the
interaction (enthalpic) contribution is . By minimizing F with
respect to H we obtain the equilibrium brush height,
(S1)
and free energy
(S2)
where superscript denotes that this is the initial
configuration. This free energy (S2) can be expanded around its
equilibrium value to give the following quadratic
approximation:
(S3)
Now, if L changes to L+L upon external stimulus, then free
energy of the new, final state can be written using quadratic
approximation as:
(S4)
where .Next, we calculate
(S5)
which is the expression used in the main text. Note that this
expression is only an order-of-magnitude approximation, since the
excluded volume parameter w is not known and is here assumed to be
constant. Importantly, however, our estimates indicate only a small
fraction of kT can be retrieved as useful energy from a single
swichable polymer unit.
(2) Dense grafting. The model discussed in the previous section
is applicable for extended but coiled polymer brushes of reduced
grafting densities, w/L, considerably smaller than unity (sparse
grafting). When polymer chains are very densely grafted, however,
they should be almost fully extended (unless trapped kinetically
by, for example, entanglements) with the brush height, H, close to
the contour length, NL. The quadratic (in H) elastic term fails to
describe properly the chains at strong extensions, and a different
expression for entropic elasticity is used following Kuznetsov and
Chen (34):
(S6)
This expression prevents the brush height, H, from exceeding the
contour length, NL. Upon minimization of Fel with respect to H, the
following results are obtained (up to multiplicative constants of
the order of unity):
and
(S7)
Note that the free energy per segment is of the order of kT and
so the corresponding free energy change upon stimulus can be a
fraction of kT. Also, the formulas used in the main text can now be
derived by assuming that the chain is extended as a result of a
constant net force acting on it In this case, the force needed to
keep the polymer at extension H is . Then, if L is changed upon
stimulus from L to L+L, H has to change in linear proportion, , to
maintain the constant force. Taking Hi=H, and Hf=H+H, we can
calculate the work as
(S8)
with .
PAGE 20
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