Elias A J Post1, Stephen P Fletcher1. 1. Department of Chemistry, Chemistry Research Laboratory , University of Oxford , 12 Mansfield Road , Oxford , OX1 3TA , U.K.
Abstract
Compartmentalization of reactions is ubiquitous in biochemistry. Self-reproducing lipids are widely studied as chemical models of compartmentalized biological systems. Here, we explore the effect of catalyst location on copper-catalyzed azide-alkyne cycloadditions which drive the self-reproduction of micelles from phase-separated components. Tuning the hydrophilicity of the copper-ligand complex, so that hydro-phobic or -philic catalysts are used in combination with hydro-philic and -phobic coupling partners, provides a wide range of reactivity patterns. Analysis of the kinetic data shows that reactions with a hydrophobic catalyst are faster than with a hydrophilic catalyst. Diffusion-ordered spectroscopy experiments suggest compartmentalization of the hydrophobic catalyst inside micelles while the hydrophilic catalyst remains in the bulk aqueous phase. The autocatalytic effects observed can be tuned by varying reactant structure and coupling a hydrophilic alkyne and hydrophobic azide results in a more pronounced autocatalytic effect. We propose and test a model that rationalizes the observations in terms of the phase behavior of the reaction components and catalysts.
Compartmentalization of reactions is ubiquitous in biochemistry. Self-reproducing lipids are widely studied as chemical models of compartmentalized biological systems. Here, we explore the effect of catalyst location on copper-catalyzed azide-alkyne cycloadditions which drive the self-reproduction of micelles from phase-separated components. Tuning the hydrophilicity of the copper-ligand complex, so that hydro-phobic or -philic catalysts are used in combination with hydro-philic and -phobic coupling partners, provides a wide range of reactivity patterns. Analysis of the kinetic data shows that reactions with a hydrophobic catalyst are faster than with a hydrophilic catalyst. Diffusion-ordered spectroscopy experiments suggest compartmentalization of the hydrophobic catalyst inside micelles while the hydrophilic catalyst remains in the bulk aqueous phase. The autocatalytic effects observed can be tuned by varying reactant structure and coupling a hydrophilic alkyne and hydrophobic azide results in a more pronounced autocatalytic effect. We propose and test a model that rationalizes the observations in terms of the phase behavior of the reaction components and catalysts.
Compartmentalized reactions
may occur inside nano- or microscale
species such as micelles, vesicles, and emulsion droplets.[1] These compartments can serve as microscale reactors
and provide a mechanism for controlling the interactions between components
of heterogeneous systems.[2] Studying compartmentalized
reactions may help us understand biochemical processes and how to
control chemical reactivity.[3−5] Living cells are compartmentalized
out-of-equilibrium systems which are able to control complex multistep
reactions, such as NADPH metabolism, which relies on the ability to
separate different components.[6] Similarly,
gluconeogenesis likely involves three intracellular compartments performing
different reactions.[7,8]Lipid-based compartments
have been studied as simple models of
cellular membranes[9−11] and display complex aggregation behavior including
deformation and division.[12−15] The chemical self-reproduction of synthetic micelles
and vesicles has been used to drive the growth and division processes[16−18] and serve as minimal metabolic networks where compartmentalized
reactions generate self-organizing components of the compartment.[19,20] In physical autocatalytic processes surfactants are initially slowly
formed through the reaction of two phase separated reagents at the
interface of a biphasic system (Figure A, step 1).[21−31] Once a critical concentration of the products is reached, supramolecular
aggregates form allowing the reaction components to interact by compartmentalization
and subsequent solubilization into the opposing phase, facilitating
further surfactant formation (step 2).[24] The formation of these aggregates can probably be viewed most simply
as an extension of the interface where phase separated reagents are
capable of interacting. This concept was first explored by Luisi and
co-workers where they reported on the alkaline hydrolysis of ethyl
caprylate which yielded sodium caprylate micelles that enhanced the
rate of hydrolysis.[22] Later Sugawara and
co-workers developed a system of self-reproducing giant vesicles in
a biphasic system through a dehydrocondensation reaction between a
lipophilic aniline precursor and a amphiphilic aldehyde catalyzed
by a amphiphilic acid catalyst.[29] However,
the systems studied thus far did not allow for facile control over
the compartmentalization of a secondary catalyst which may enable
the development of more sophisticated reaction networks. Fréchet
and co-workers have used the polarity of compounds to sequester reagents
in different phases allowing for the development of a one-pot asymmetric
cascade reaction mediated by two catalysts.[32]
Figure 1
(A)
Overview of physical autocatalysis. (B) A copper catalyzed
physical autocatalytic system where an organic alkyne reacts first
with the Cu-catalyst, then with an aqueous azide to form a surfactant.
Product micelles accelerate the reaction.[33] (C–E) This work: (C) Using a hydrophobic Cu-ligand promotes
retention of the Cu-catalyst in the organic phase and faster turnover
is observed. (D) Summary of effect of tuning the catalyst hydrophilicity
to alter reaction kinetics. (1) A hydrophobic ligand leads to shorter
lag periods and higher rates while (2) a hydrophilic ligand retards
the reaction. (E) Using a hydrophilic Cu-ligand in the system favors
keeping the Cu-catalyst in the aqueous phase and slower turnover is
observed.
(A)
Overview of physical autocatalysis. (B) A copper catalyzed
physical autocatalytic system where an organic alkyne reacts first
with the Cu-catalyst, then with an aqueous azide to form a surfactant.
Product micelles accelerate the reaction.[33] (C–E) This work: (C) Using a hydrophobic Cu-ligand promotes
retention of the Cu-catalyst in the organic phase and faster turnover
is observed. (D) Summary of effect of tuning the catalyst hydrophilicity
to alter reaction kinetics. (1) A hydrophobic ligand leads to shorter
lag periods and higher rates while (2) a hydrophilic ligand retards
the reaction. (E) Using a hydrophilic Cu-ligand in the system favors
keeping the Cu-catalyst in the aqueous phase and slower turnover is
observed.We recently reported a system
where we used copper-catalyzed alkyne–azide
cycloadditions (CuAAC) as a secondary catalytic cycle in the self-reproduction
of micelles (Figure B).[33] The coupling of an excess of a hydrophobic
alkyne that constitutes the organic phase as oil droplets on water
with a hydrophilic azide in a biphasic reaction mixture showed complex
behavior consistent with autocatalysis.Here we show that the
kinetic behavior of self-reproducing lipid
aggregates can be controlled (Figure C–E) by tuning the solubility properties of
a Cu-catalyst where the autocatalytic cycle is completely dependent
on the Cu-catalyst. We also examine different combinations of hydrophobic
and hydrophilic alkyne/azide coupling partners. We rationalize our
findings in terms of the system’s phase behavior and how the
catalyst and the reaction events are localized by compartmentalization.
We propose a mechanistic model which explains under which conditions
more or less dramatic autocatalytic effects are observed. The generality
of this model is tested in a novel system with a phosphocholine polar
headgroup.
Results and Discussion
As previously reported, reaction
between hydrophilic maltose azide 1 and hydrophobic aliphatic
alkyne 2 via a CuAAC
forms surfactant 3 (Figure A), which according to DLS and fluorimetry
measurements forms micelles of around 7 nm at 2.86 mM (Figures S21 and S23). These reactions involve
“typical” aqueous CuAAC conditions: in situ reduction of CuSO4 with sodium ascorbate using O-phenylenediamine as a ligand (Figure A; ligand A). Kinetic experiments,
after considerable examination of physical parameters such as stirring
speed and flask size/shape to give reaction kinetics suitable for
study on convenient time scales, reveal a lag period followed by a
subsequent period with a faster rate (Figure B; green circles). Seeding the reaction at t = 0 with product 3 at concentrations above
the CMC[34] removed the lag period and increased
the rate of product formation (Figure C; green circles). These observations are consistent
with an autocatalytic mechanism.[35]
Figure 2
(A) Reactions
where maltose azide 1 is coupled to
alkyne 2 via a CuAAC reaction to form surfactant 3 and the structures of ligands used. Ligands A and B are hydrophilic, and ligand C is
hydrophobic. (B) Kinetic results showing the influence of the ligand; A (green circles), B (blue triangles), and C (red diamonds), on the rate of conversion. A trend is observed
where increased hydrophobicity of the ligand results in higher rates
of conversion. (C) When seeding reactions with 22 mM of product, elimination
of the lag period and higher reaction rates are observed. The reaction
is monitored by consumption of azide 1 and formation
of surfactant 3 by 1H NMR spectroscopy. Points
are the mean of three independent experiments, and the error bars
are the standard deviation.
(A) Reactions
where maltose azide 1 is coupled to
alkyne 2 via a CuAAC reaction to form surfactant 3 and the structures of ligands used. Ligands A and B are hydrophilic, and ligand C is
hydrophobic. (B) Kinetic results showing the influence of the ligand; A (green circles), B (blue triangles), and C (red diamonds), on the rate of conversion. A trend is observed
where increased hydrophobicity of the ligand results in higher rates
of conversion. (C) When seeding reactions with 22 mM of product, elimination
of the lag period and higher reaction rates are observed. The reaction
is monitored by consumption of azide 1 and formation
of surfactant 3 by 1H NMR spectroscopy. Points
are the mean of three independent experiments, and the error bars
are the standard deviation.
Controlling Catalyst Compartmentalization by Tuning Ligand Hydrophobicity
Autocatalytic cycles involving a secondary catalyst would be expected
to behave differently than cycles driven by spontaneous reactions.
As this form of replication involves multiple solution phases, altering
the solubility properties of the Cu-catalyst is expected to allow
for control over the spatial location of the reaction by, for example,
restricting it to the micelle interior. Such catalyst compartmentalization
may provide insight into how to control chemical reactivity, develop
complex reaction networks, and enable sophisticated models of cells.
To this end we varied the hydrophobicity of the copper ligand.Tristriazole ligands are known[36] to prevent
oxidation and disproportionation of Cu(I) and also enhance catalytic
activity compared to CuSO4/ascorbate alone. Interestingly,
these ligands were discovered when autocatalytic effects were observed
during mechanistic studies of the CuAAC reaction on polyvalent substrates.[37] The mechanism of this autocatalytic cycle was
recently studied in depth.[38] Devaraj and
co-workers have used self-reproducing tristriazole compounds to embed
copper in a phospholipid bilayer and drive membrane growth and form
self-assembling peptide nanomaterials.[30,31] These weakly
binding polytriazole ligands are exceptional in water because they
prevent the formation of unreactive polynuclear copper acetylides[40−42] and other more strongly binding ligands inhibit the reaction by
denying azide access to the metal.[39] Furthermore,
simple synthetic modifications to this class of ligand allow easy
tuning of solubility without affecting catalytic activity. We chose
two known ligands, one strongly hydrophilic (ligand B) and one hydrophobic (ligand C), to compare and contrast
with the previously studied ligand A (Figure A).In the unseeded reactions,
ligand C accelerates the
reaction almost 2-fold compared to ligand A (Figure B; Table S3 for extracted reaction rates). Conversely the reaction
with ligand B is slow compared to ligand A with a much longer lag period and gradual initial product formation.
There is however a small reproducible amount of initial product formation
observed using ligand B, which was further investigated
by varying the equivalent of ligand B used (Figure S44). A correlation between the length
of lag period and the ligand used was observed, where 1 equiv led
to a significant rate increase and use of 4 equiv of ligand gave no
observed product in the first 6 h (after 5 days about 10% conversion
was observed).In the seeded reactions, ligand A shows significant
product-induced rate enhancement and is clearly the fastest of the
three reactions (Figure C, Table S4 for extracted reaction rates).
Ligand B shows an ∼2× rate compared to its
unseeded reaction, and a slight lag period. Curiously seeded reactions
with B did not show initial formation of a small amount
of product as seen with unseeded reactions using B. Ligand C shows only a modest rate increase over the unseeded reaction.
Control Experiments
To eliminate the possibility that C is simply a more effective ligand than B, we
performed the reaction in a 1:1 water/tert-butanol
mixture to facilitate phase mixing (Figure S43). Although the kinetic profiles may still appear to have some sigmoidal
character, all three ligands gave comparable rates and the reactions
went to completion within 2 h. This supports the assumption that phase
behavior is responsible for the lag period and slower kinetics and
that there is no inherent difference in efficiency between the ligands.During our previous studies with A we found that 1-dodecyne
(2b) (likely because of its very low solubility in water)
reacted slowly, with a lag period of over 3 h and a reaction time
of several days (Figure , blue circles). Here we show that using hydrophobic C gives a much faster reaction with 2b and completely
removes the lag period (Figure , red squares).
Figure 3
Reaction kinetics of coupling 1 to 2b to form surfactant 3b. An unseeded
reaction with ligand A (blue circles) and an unseeded
reaction with ligand C (red squares).
Reaction kinetics of coupling 1 to 2b to form surfactant 3b. An unseeded
reaction with ligand A (blue circles) and an unseeded
reaction with ligand C (red squares).We probed the phase behavior of the reaction components
using diffusion
ordered spectroscopy (DOSY). A lower diffusion coefficient (D) is expected for an aggregated surfactant compared to
free surfactant below the CMC. A compound associating with the micelle
is expected to diffuse at a similar rate as the surfactant above the
CMC, where tetramethylsilane (TMS) is added as a control for the diffusion
rate of supramolecular aggregates. Control experiments show that our
surfactants aggregate above their CMCs (Table , entries A–B), that alkyne 2 is probably fully associated with surfactant 3 above its CMC (entries C–D), and that azide 1 does not associate detectibly with 3 (E–G).
Water-soluble complexes Cu-A and Cu-B diffuse
slower than the respective free ligands (entries H–I and Table S1, entries N–O) and do not associate
with the micelles (entries J–K) while the hydrophobic Cu-C complex binds strongly to the micelles (entries L–M).
The diffusion rates of the free small molecules, such as the surfactant
below its CMC, the azide, and free B are in agreement
with their molecular weights according to Morris’ correlation
(Table S1).[43] Using the Stokes–Einstein relationship we calculate a hydrodynamic
radius of 1.9 nm for micelles of surfactant 3 at 22 mM,
which is in agreement with the data obtained from DLS.[44]
Table 1
Diffusion Coefficients
Extracted from
DOSY Experiments
entry
species presenta
Db (3)
D (2)
D (1)
D (ligand)
D (TMSc)
A
3 (2 mM)
3.6
–
–
–
8.2
B
3 (22 mM)
1.3
–
–
–
1.2
C
3 (2 mM) + 2 (saturated)
3.8
NDd
–
–
4.1
D
3 (22 mM) + 2 (saturated)
1.3
0.58e
–
–
1.1
E
1 (91 mM)
–
–
4.3
–
–
F
3 (2 mM) + 1 (91 mM)
3.6
–
4.4
–
7.6
G
3 (22 mM) + 1 (91 mM)
1.2
–
4.9
–
1.2
H
B (8.3 mM)
–
–
4.1
–
9.0
I
[Cu-B] (8.3 mM)
–
–
–
3.1
9.8
J
3 (2 mM) + [Cu-B] (8.3 mM)
3.1
–
–
3.0
9.3
K
3 (22 mM) + [Cu-B] (8.3 mM)
1.3
–
–
2.8
1.5
L
3 (2 mM) + [Cu-C] (saturated)
3.8
–
–
ND
8.6
M
3 (22 mM) + [Cu-C] (saturated)
1.1
–
–
0.67
1.2
The diffusion coefficients for all
reaction components present in the system during the synthesis of 3.
D values reported
in 10–10 m2 s–1.
TMS was added as a control.
ND indicates that the diffusion
coefficient could not be extracted because of the limited solubility
of the compound in water.
A value below that of 3 and TMS indicates a strong association
with the micelle, where the
measured value of 3 reflects the presence of monomeric
and aggregated surfactant.
The diffusion coefficients for all
reaction components present in the system during the synthesis of 3.D values reported
in 10–10 m2 s–1.TMS was added as a control.ND indicates that the diffusion
coefficient could not be extracted because of the limited solubility
of the compound in water.A value below that of 3 and TMS indicates a strong association
with the micelle, where the
measured value of 3 reflects the presence of monomeric
and aggregated surfactant.
Inverting
the Polarity of the System
We inverted the
polarity of the reaction components by synthesizing a hydrophilic,
maltose-based alkyne 4 and a hydrophobic alkyl azide 5 (Figure A) and examined the reactivity of this “inverse” system
for ligands B and C. DLS and fluorimetry
measurements showed that surfactant 6 forms micelles
of around 6 nm at 15 mM (Figures S22 and S24). Switching the polarity of the coupling partners results in a significantly
slower rate and a pronounced lag period for both ligands (Figure B). However, the
trend of reactions involving C being much faster than
those with B remains (see Tables S5 and S6 for extracted rates). Seeding the C reaction
with product entirely eliminated the lag period and led to a remarkably
fast reaction (Figure C). Conversely, the reaction with B is slow and reaches
completion only after several days. Even when seeded it does not reach
completion within 1 day, unlike all the other seeded reactions we
have studied.
Figure 4
(A) Reaction scheme for the “inverted system”
involving
coupling water-soluble alkyne 4 and hydrophobic azide 5 to give 6. (B) Kinetics using ligands B (blue triangles) and C (red diamonds) in the
unseeded inverted system. Identical reaction conditions to those for
the original system were applied. (C) Kinetics when the inverted system
is seeded with product (30 mM). Points are the mean of three independent
experiments and the error bars are the standard deviation.
(A) Reaction scheme for the “inverted system”
involving
coupling water-soluble alkyne 4 and hydrophobic azide 5 to give 6. (B) Kinetics using ligands B (blue triangles) and C (red diamonds) in the
unseeded inverted system. Identical reaction conditions to those for
the original system were applied. (C) Kinetics when the inverted system
is seeded with product (30 mM). Points are the mean of three independent
experiments and the error bars are the standard deviation.When the reaction was performed in a 1:1 water/tert-butanol mixture to facilitate phase mixing (Figure S45) complete conversion was observed
within 30 min
for both ligands. Interestingly, this is a faster rate than in the
original system even though this reaction is significantly slower
under biphasic conditions.DOSY experiments aimed at probing
aggregation states in the inverse
system show similar phenomena as above, in that only hydrophobic components
associate with the micelle (Table and SI for extended Table S2). Surfactant 6 aggregates above the CMC (Table , entries A–B), azide 5 is fully associated with surfactant 6 above
the CMC (entries C–D), and alkyne 4 does not associate
detectibly with 6 (entries E–G). Water-soluble
complex Cu-B diffuses slower than the respective free
ligand (Table S2) and does not associate
with the micelles (entries H–I) while the hydrophobic Cu-C complex binds strongly to the micelles (entries J–K).
Table 2
Diffusion Coefficients Extracted from
DOSY Experiments
entry
species presenta
Db (6)
D (5)
D (4)
D (ligand)
D (TMS)
A
6 (3 mM)
3.4
–
–
–
7.2
B
6 (30 mM)
2.1
–
–
–
1.9
C
6 (3 mM) + 5 (saturated)
3.3
ND
–
–
7.0
D
6 (30 mM) + 5 (saturated)
1.9
1.9
–
–
1.7
E
4 (91 mM)
–
–
3.8
–
–
F
6 (3 mM) + 4 (91 mM)
3.2
–
3.8
–
5.0
G
6 (30 mM) + 4 (91 mM)
1.9
–
3.7
–
1.9
Hc
6 (3 mM) + [Cu-B] (8.3 mM)
2.3
–
–
2.5
7.8
I
6 (30 mM) + [Cu-B] (8.3 mM)
2.2
–
–
2.6
2.1
J
6 (3 mM) + [Cu-C] (saturated)
3.3
–
–
ND
7.1
K
6 (30 mM) + [Cu-C] (saturated)
1.4
–
–
1.0
2.0
The diffusion coefficients
for reaction
components present in the system during the synthesis of 6.
D values
reported
in 10–10 m2 s–1.
There may be an association between
monomers of 6 and [Cu-B] leading to the
observed D of 2.3 and not the expected D of ∼3.3. The D of TMS suggests that no surfactant
aggregation/encapsulation is taking place. 6 with ligand B (and no copper) diffuses at the expected rate (see SI Table S2).
The diffusion coefficients
for reaction
components present in the system during the synthesis of 6.D values
reported
in 10–10 m2 s–1.There may be an association between
monomers of 6 and [Cu-B] leading to the
observed D of 2.3 and not the expected D of ∼3.3. The D of TMS suggests that no surfactant
aggregation/encapsulation is taking place. 6 with ligand B (and no copper) diffuses at the expected rate (see SI Table S2).
Deuterium Exchange Measurements
The rate of deuterium
exchange for alkynes 2 and 4 to yield 2-d and 4-d by copper in D2O was measured to probe how readily alkynes
coordinate to Cu-L and subsequently interact with water
(Scheme and Table ). These experiments
may be relevant to the first step of the CuAAC mechanism where coordination
of copper to alkyne is believed to occur. With compound 2 in the absence of copper, no deuterium exchange was observed (entry
1). For 2 with both Cu-B and Cu-C, the rate of H- to D-exchange was slow giving 58% and 32% conversion
respectively within a day (entries 2 and 3). It may be that exchange
is faster with hydrophilic Cu-B because the complex can
more easily interact with water. When H- to D-exchange experiments
with 2 were seeded with 3, full conversion
to 2-d was observed within 5 h (entries
4 and 5).
Scheme 1
Deuterium Exchange Control Experiment for Alkyne 2 and 4
Table 3
Conversion and Reaction Time for the
Deuterium Exchange Reaction of Alkyne 2 and 4
entrya
alkyne
ligandb
seed (mM)c
conv (%)d
time
1
2
N/Ae
0
0
24 h
2
2
B
0
58
24 h
3
2
C
0
32
24 h
4
2
B
22
100
5 h
5
2
C
22
100
5 h
6
4
N/A
0
0
24 h
7
4
B
0
100
<1 min
8
4
C
0
100
3 h
9
4
C
30
100
2.5 h
Standard reaction
conditions were
applied in D2O in the absence of azides to prevent CuAAC.
Different rates of deuterium
exchange
were observed when ligand B or C was applied.
Seeding the system with 3 (for 2) or 6 (for 4) increased
the rate of D-exchange in all cases.
Reactions monitored and conversion
determined by 1H NMR spectroscopy.
Control reaction in the absence
of copper.
Standard reaction
conditions were
applied in D2O in the absence of azides to prevent CuAAC.Different rates of deuterium
exchange
were observed when ligand B or C was applied.Seeding the system with 3 (for 2) or 6 (for 4) increased
the rate of D-exchange in all cases.Reactions monitored and conversion
determined by 1H NMR spectroscopy.Control reaction in the absence
of copper.With hydrophilic
alkyne 4, H- to D-exchange also did
not occur in the absence of copper (entry 6). Using the combination
of 4 and ligand B exchange was so fast that
full conversion is observed in less than a minute (entry 7). However, C required 3 h for full D-exchange (entry 8). The hydrophilic
Cu-B complex and hydrophilic alkyne combination results
in much faster exchange than phase separated components. Surprisingly,
seeding Cu-C mediated exchange of 4 to 4-d with product 6 did not significantly
increase the reaction rate (entry 9). This might indicate that these
CuAAC reactions benefit more from solubilization of hydrophobic azide 5 than from bringing hydrophobic Cu-C into the
aqueous phase or interface.Overall copper is required for the
deuterium exchange, and it appears
that phase separation between the Cu-L-complex and alkyne impacts
the rate of exchange. Addition of product leads to acceleration of
exchange for alkyne 2 while 4 is minimally
impacted. This may indicate that the first step in the CuAAC reaction
here is accelerated by product formation for alkyne 2 while this is not the case for alkyne 4.
Mechanistic
Rationalization
The mechanism at play in
these systems is reminiscent of phase transfer catalysis, where two
substances located in different immiscible phases are able to react
via a catalyst. This is possible because the catalyst is able to transfer
a substrate to its opposing phase. Although phase-transfer catalysis
is well developed, some mechanistic aspects still remain unclear,[45−47] at least partially because of problems arising from monitoring biphasic
systems and the many parameters involved. Mechanistic studies have
been performed on micellar autocatalysis;[22,48,49] however, these models never involved a secondary
catalyst such as reported here.Our rationalization for the
kinetics observed in the original system is shown in Figure . We think of the system as
consisting of three phases: an organic phase (alkyne), an aqueous
phase, and an interfacial phase where the two mix well. The micelles
are seen as an extension of the interface. The mechanism of CuAAC
is complex, but there are likely two key steps that involve interaction
of components that would be phase separated here, namely the interaction
of copper with alkyne and subsequently the interaction of this complex
with azide.[50−57] Although initial coordination of azide to copper might occur in
a phase separated case, we assume the generally accepted sequence
of events occurs here and believe that if the sequence were inverted
the overall conclusions drawn from the model (vide infra) would not change. We assume other steps, such as formation of the
copper-ligand complex and demetalation of the triazole, occur rapidly
relative to the phase separated steps and are therefore not incorporated
into the model nor is the mono- or dinuclear nature of the catalyst
complex.
Figure 5
Proposed mechanism for physical autocatalysis in a biphasic CuAAC
reaction involving a hydrophobic alkyne and a hydrophilic azide. Red
represents processes catalyzed by Cu-C, and blue, those
catalyzed by Cu-B.
Proposed mechanism for physical autocatalysis in a biphasic CuAAC
reaction involving a hydrophobic alkyne and a hydrophilic azide. Red
represents processes catalyzed by Cu-C, and blue, those
catalyzed by Cu-B.The deuterium exchange experiments have given some insight
into
the rates of interaction of alkyne with copper, and from this, the
rates of the second step can be inferred. The model assumes that the
phase behavior of complexes and intermediates are similar to those
of the individual reaction components observed during the DOSY experiments.In steps where the hydrophilic reagent is present at high concentrations
in the aqueous phase, we expect efficient phase transfer catalysis
by the micelle and these steps to be promoted by product. For steps
where the hydrophilic reagent is present at low concentrations, we
expect less efficient phase transfer catalysis, and therefore they
are weakly promoted by product (weakly autocatalytic). Colocalization,
solubilization of two hydrophobic reagents within the micelle will
lead to a strongly promoted step. Whenever it is stated that a step
is faster, promoted, or more efficient, it is important to note that
this is due to a change in the rate of mass transport, not a change
in catalytic activity of copper.
(Step 1) Hydrophobic alkyne and Cu-L interact
Since the [C-Cu(I)]-complex
and alkyne are both strongly
hydrophobic, they can react freely and quickly in the organic phase
(Figure , step 1a
and 1b). This step will therefore not benefit from any product formation.
The [B-Cu(I)]-complex on the other hand is mainly present
in the aqueous phase and has to encounter the alkyne at the interface
(step 1c). Autocatalysis can accelerate this step, but it will be
limited by Cu-B complex concentration leading to a weak
promotion of this step.
(Step 2) Aqueous azide coordinates to Cu-L-alkyne
complex
The azide is hydrophilic, and with both B and C this should be a biphasic process (Figure , step 2a and 2b) that is promoted
by the presence of product. We assume that the Cu-B-alkyne
complex will be in the interface and B is not sufficiently
polar to solubilize it completely into the aqueous phase (slow H-to-D
exchange is observed here, Table , entry 2), so that step 2 with both ligands will occur
at the interface and behave similarly. Subsequently product 3 accumulates at the interface, while Cu-L re-enters
the catalytic cycle. Once the CMC is reached and micelles form, the
product will start to catalyze any biphasic steps.This qualitatively
accounts for the observed differences between B and C (Figure ). For B, step 1c is slow since it is biphasic and we
observe a significant lag-period (up to about 7 h). For C, step 1a/b will be fast as it is a single-phase reaction and we
observe a short lag period of 30 min. Step 2 presumably has significant
biphasic character in either case.The model also qualitatively
accounts for differences observed
between seeded and nonseeded reactions. With B seeding
with product all but eliminates the lag period and doubles the maximum
rate, likely by facilitating the mixing of hydrophilic catalyst and
hydrophobic azide in step 1. With ligand C there is not
a significant difference in maximum rate between seeded and nonseeded
reactions (see Tables S3 and S4 for extracted
rates). Overall it appears that the ligand polarity can effectively
make step 1 fast or slow: with ligand C, step 1 is rapid,
while, with ligand B, step 1 becomes rate-limiting.A modified model (Figure ) is required to explain the kinetics of the inverse system
which considers the phase behavior of the different coupling partners.
Figure 6
Proposed
mechanism for a biphasic CuAAC reaction with a hydrophilic
alkyne and hydrophobic azide. Red represents processes catalyzed by
Cu-C, and blue, those catalyzed by Cu-B.
Proposed
mechanism for a biphasic CuAAC reaction with a hydrophilic
alkyne and hydrophobic azide. Red represents processes catalyzed by
Cu-C, and blue, those catalyzed by Cu-B.
(Step 1) Aqueous alkyne
and Cu-L interact
Association of the [C-Cu(I)]-complex with alkyne is
initially slow (Figure , step 1a) but only weakly promoted once micelles of 6 are formed. Although the complex can associate with the micelle
(Table , entries J
and K), 4 does not readily associate with micelles (Table , entries E, F, and
G). And as judged by H- to D-exchange experiments (Table , entries 8 and 9) micelles
do not have very much of an effect on the way the complex and 4 encounter each other. Step 1b for the [B-Cu(I)]-complex
is fast, as alkyne and Cu-B are both soluble in water
(Table , entry 7).
(Step 2) Hydrophobic azide coordinates to Cu-L-alkyne
complex
Cu-C-alkyne is likely hydrophobic enough
to colocalize with 5 inside the micelle. This will strongly
promote step 2a upon formation of micelles. For B step
2b will be weakly promoted: the organic azide needs to encounter Cu-B-alkyne complex assembled from two hydrophilic components.
While micelles should increase the concentration of azide that can
encounter Cu-B-alkyne, the concentration of the latter
in micelles is probably low. 6 will accumulate at the
interface and, once the CMC is reached, catalyze any biphasic steps.Overall the kinetics of this system are slower, with both ligands
showing pronounced lag periods (Figure B). Water/tert-butanol experiments
suggest this is not due to inherent substrate reactivity (Figures S43 and S45). This may be due to rate
limiting step 2 where the Cu-L-alkyne complex has to
interact with the hydrophobic substrate. Since this complex will be
present in the low concentrations, this could be the cause for the
slower kinetics observed in the absence of micelles.When seeded
(Figure C) reactions
with C showed a significant rate increase,
but with B the reaction is only minimally promoted by
product. Co-localization of the Cu-C-alkyne complex and 5 in the micelles should lead to higher local concentrations
and faster reactions for C, while the strongly hydrophilic
Cu-B-alkyne complex does not as easily interact with
the micelles. Overall it appears that step 2 is rate limiting here
and this step can be strongly promoted using product 6 with ligand C but not ligand B.The four different systems investigated and the degree to which
surfactant products should promote each step are summarized in Figure . Steps where both
reagents are present in the same phase will be fast, while steps where
substrates are phase separated are slow. Micelles will promote phase
separated steps, but if this involves a low concentration of aqueous
substrate the step will only be weakly promoted. Overall ‘systems
2 and 3’ (Figure ) should see the more dramatic autocatalytic effects since the rate
limiting steps in these two systems are promoted by product formation.
A new system was developed to investigate if biphasic autocatalytic
CuAAC reactions are reasonably general and see if the model could
be used to predict a reaction with an autocatalytic effect. Alkyne 7 containing a zwitterionic phosphocholine headgroup (Figure A) was coupled to
azide 5 using ligand C to yield surfactant 8 (conditions of system 3, Figure ). A CuAAC reaction with this new polar alkyne
should show efficient autocatalysis since according to the model the
main prerequisite for this effect is phase separation. This system
shows a lag period, and seeding with product leads to a disappearance
of the lag period and a pronounced rate acceleration (Figure B).[58] These results support the idea that the model can be used to predict
an autocatalytic effect.
Figure 7
Summary of phase-transfer models used to understand
Cu-catalyzed
self-reproduction of micelles, and a prediction of whether an autocatalytic
effect should be observed.
Figure 8
(A) Biphasic coupling of phosphocholine 7 and azide 5 to form surfactant 8. (B) Kinetics using ligand.
(C) The unseeded reaction (red diamonds) has a lag period followed
by an increased rate of product formation. When the system is seeded
with product 8 (30 mM, gray triangles), the lag period
is eliminated and a significant rate increase is observed. Points
are the mean of three independent experiments, and the error bars
are the standard deviation.
Summary of phase-transfer models used to understand
Cu-catalyzed
self-reproduction of micelles, and a prediction of whether an autocatalytic
effect should be observed.(A) Biphasic coupling of phosphocholine 7 and azide 5 to form surfactant 8. (B) Kinetics using ligand.
(C) The unseeded reaction (red diamonds) has a lag period followed
by an increased rate of product formation. When the system is seeded
with product 8 (30 mM, gray triangles), the lag period
is eliminated and a significant rate increase is observed. Points
are the mean of three independent experiments, and the error bars
are the standard deviation.
Conclusions
This study has shown
that a secondary catalyst promoting CuAAC
reactions can be used to tune the kinetics of a system that is autocatalytic
as a whole by virtue of phase behavior. Coupling a secondary catalytic
cycle to an autocatalytic cycle enables control of the reaction kinetics
through rational variations in catalyst structure. Changing the hydrophilicity
of the ligand, and therefore the location of the active catalyst,
provides a handle to vary the rate limiting step of the reaction.
Our observations can be rationalized in terms of the phase behavior
of the reaction components. A predictive model was obtained that has
shown that a hydrophobic ligand and azide combined with a hydrophilic
alkyne can be used to obtain a pronounced autocatalytic effect. We
anticipate that these studies might be useful in understanding how
to gain control over the spatial organization of compartmentalized
reactions.
Experimental Section
General Information
Procedures using oxygen- and/or
moisture-sensitive materials were performed with anhydrous solvents
under an atmosphere of anhydrous argon in flame-dried flasks, using
standard Schlenk techniques. Analytical TLC was performed on precoated
aluminum-backed plates (Silica Gel 60 F254; Merck),and visualized
using aqueous ceric ammonium molybdate (CAM), aqueous basic potassium
permanganate, or ninhydrin stains. Flash column chromatography was
carried out using Merck Geduran Si 60 (40–63 μm) silica
gel. The compound was loaded on to the columns with Chemtube Hydromatrix
from Agilent Technologies. Pressure was applied at the column head
via a flow of nitrogen with the solvent system used in parentheses.Cooling of reaction mixtures to 0 °C was achieved using an
ice–water bath. Cooling to −10 °C was achieved
using a salt–ice bath. Cooling to −78 °C was achieved
using a dry ice–acetone bath.
Chemicals
All
chemicals were purchased from Sigma-Aldrich
or Fluorochem Scientific and used without further purification. Dry
CHCl3, THF, CH2Cl2, Et2O, toluene, benzene, hexane, pentane, DMF, and acetonitrile were
collected fresh from an mBraun SPS-5 solvent purification system having
been passed through anhydrous alumina columns. All other solvents
were used as purchased from Sigma-Aldrich, Honeywell, or Fisher Scientific.
Equipment
All NMR spectra were recorded at room temperature. 1H NMR and 13C NMR spectra were recorded using Bruker
AVIII HD 400 (400/101 MHz) and AVIII HD 500 (500/126 MHz) spectrometers.
Chemical shifts are reported in ppm from the residual solvent peak.
Chemical shifts (δ) are given in ppm, and coupling constants
(J) are quoted in hertz (Hz). Resonances are described
as s (singlet), d (doublet), t (triplet), q (quartet), and m (multiplet).
Assignments were made with the assistance of 2D COSY and HSQC NMR
experiments.DOSY NMR measurements were performed using a Bruker
AVIII HD 500 equipped with a TFI probehead at 298 K using the
2D sequence for diffusion measurement using double stimulated echo
for convection compensation and longitudinal eddy current delay, using
bipolar gradient pulses for diffusion, and using three spoil gradients
(Bruker terminology: dstebpgp35) pulse sequence. The samples were
thoroughly mixed using a Vortex Genie 2 mixer (Scientific Industries)
and were then clarified using a hand centrifuge (Hettich, model 1011)
and then measured. Samples containing saturated alkyne consequently
had a small layer of neat alkyne above the D2O layer; sufficient
D2O was used to ensure that the alkyne layer was not detectible
by the NMR probe. Experiments were performed in two stages: initially
1D-edited DOSY experiments were used to optimize the diffusion period
to Δ = 100 ms. The 2D dstebpgp35 sequence was then used,
based on the optimized Δfrom the previous procedure
and with δ = 4 ms, with the gradient amplitude ranging
from 2% to 85% with 16 points in between. Data were analyzed using
the T1T2 module in TOPSPIN 3.2, and plots were
generated using the eddosy module.High-resolution mass spectra
(EI and ESI) were recorded using a
Bruker MicroTOF spectrometer by the internal service at the University
of Oxford. Low-resolution mass spectra were recorded using a Walters
LCT premier XE.Infrared measurements (thin film) were carried
out using a Bruker
Tensor 27 FTIR with internal calibration in the range 4000–600
cm–1.Optical rotations were recorded using
a PerkinElmer 241 polarimeter
at 25 °C in a 10 cm cell in the stated solvent. [α]D values are given in 10–1 deg·cm2 g–1, with concentration c given as g/100 mL.Fluorimetry was performed using Edinburgh
Instruments Spectrofluorometer
FS5 model with Fluoracle software. The slit width for both excitation
and emission was set at 1 nm.DLS measurements were recorded
using a Malvern Zetasizer Nano ZS
DLS instrument and analyzed with Zetasizer software. All samples were
prepared in ultrapure Milli-Q water and filtered through 0.2 μm
PTFE filters before measuring.
Experimental Procedures
and Characterization of Compounds
General Procedure 1: Synthesis
of Protected Surfactant Products
via CuAAC Reaction
Conditions adapted from Shao et al.[59] To a stirred suspension of CuI (0.02 equiv)
in degassed CH2Cl2 was added protected maltose
(1 eq, 160 mM), DIPEA (0.04 equiv), AcOH (0.04 equiv) and hydrophobic
coupling partner (1.4 equiv). The resulting solution was stirred for
18 h. The reaction mixture was concentrated in vacuo, and the crude was purified with flash column chromatography. The
column was eluted with EtOAc:hexane (1:1) to yield the product.
General Procedure 2: Acetyl Deprotection
Synthesis
according to Mahon et al.[60] To a stirred
suspension of protected sugar (150 mM) in MeOH was added sodium methoxide
(0.1 equiv). Upon dissolution of the solid and concurrent disappearance
of protected sugar (TLC control) the solution was neutralized using
Amberlyst 15 resin (H+ form). The resin was filtered off
and washed with MeOH and the filtrate was concentrated in
vacuo. The residue was dried under high vacuum to give a
deprotected sugar as a tacky, hygroscopic white foam.
General Procedure
3: Setup of Kinetic Experiments
A
solution of hydrophilic substrate (0.408 mmol, 1 eq, 1.5 mL of 272
mM standard solution in D2O), CuSO4·5H2O (6 mg, 0.024 mmol, 0.06 eq, 1 mL of 6 mg/mL standard solution
in D2O) (and deprotected surfactant in the reported concentrations
for the seeded reactions) were added to D2O (2 mL) to give
a total volume of 4.5 mL in a round-bottom flask (25 mL) with a stirrer
bar of an identical size (4.5 mm diameter and 12 mm length) for each
experiment. Subsequently ligand (0.12 equiv), hydrophobic substrate
(2 equiv) were added and the flask was capped with a septum and the
solution was degassed by bubbling argon through it for 30 min. Afterward
sodium ascorbate (16.2 mg, 0.082 mmol, 0.2 equiv) was added to initiate
the reaction. The reaction mixture was stirred at 200 rpm under a
continuous flow of argon. Samples for analysis during the kinetic
experiments were prepared at regular intervals by diluting 0.1 mL
of the reaction mixture in 0.4 mL of D2O and immediately
taking a 1H NMR measurement.Note: These reactions
are very sensitive to physical parameters, so changing the flask size
or stirrer bar or adding compounds at different time points during
the degassing process might affect the overall kinetics of the reaction.Note 2: The deuterium exchange experiments were performed in the
absence of azide 1 or 5. Alkyne 2 was monitored by extracting 0.1 mL of the reaction mixture into
0.4 mL of CDCl3 and immediately taking a 1H
NMR measurement.
α/β-d-Maltose Octaacetate
(9)
Synthesized according to Harvey et al.[61] NaOAc (5.00 g, 61.0 mmol, 1.1 equiv) was added
to a stirred suspension
of d-maltose (10.0 g, 29.2 mmol, 1 equiv) in Ac2O (50 mL) at 140 °C. The reaction was stirred until deemed complete
by the disappearance of maltose (TLC control, 2:1 petroleum ether/EtOAc)
(approximately 1 h). The reaction mixture was diluted with CH2Cl2 (50 mL). The organic mixture was washed with
saturated aqueous NaHCO3 (3 × 100 mL), dried (Na2SO4), and concentrated in vacuo to yield the peracetylated d-maltose 9 (23.0
g, quantitative yield, α:β ≈ 1:4.55) as an amorphous
white solid.1H NMR (400 MHz, CDCl3) δ
5.74 (d, J = 8.1 Hz, 1H, CH-6), 5.40 (d, J = 4.1 Hz, 1H, CH-12), 5.35 (dd, J = 10.6, 9.5 Hz, 1H, CH-4), 5.29 (t, J = 9.0 Hz, 1H, CH-10), 5.05 (dd, J = 10.2, 9.5 Hz, 1H,
CH-3), 4.97 (dd, J = 9.2,
8.2 Hz, 1H, CH-5), 4.85 (dd, J = 10.5, 4.0 Hz, 1H, CH-11), 4.45 (dd, J = 12.3, 2.5 Hz, 1H, CHaHb-7), 4.30–4.17 (m, 2H, CHaHb-7 and CHaHb-1), 4.07–3.99 (m, 2H, CHaHb-1 and CH-9), 3.97–3.92
(m, 1H, CH-2), 3.83 (ddd, J = 9.7, 4.5, 2.6 Hz, 1H, 10.1, 3.1 Hz, 1H, CH-8), 2.22 (s, 6H, CH3CO), 2.13
(s, 3H, CH3CO), 2.09 (s, 6H, CH3CO), 2.04 (s, 3H, CH3CO), 2.02 (s, 3H, CH3CO), 2.01 (s, 3H, CH3CO), 2.01
(s, 3H, CH3CO), 2.00 (s, 3H, CH3CO). 13C{1H} NMR (101
MHz, CDCl3) δ 170.7, 170.6, 170.6, 170.1, 170.1,
170.0, 169.5, 169.0, 95.9, 88.9, 72.4, 72.3, 70.20, 70.15, 69.8, 69.3,
68.7, 68.0, 62.5, 61.4, 21.1, 21.0, 20.9, 20.8, 20.73 (2C), 20.71,
20.6. HRMS (ESI) m/z calcd for C28H38O19Na [M + Na]+, 701.1900;
found, 701.1896.Data reported here are for the β-anomer
and are consistent
with reported literature values.[60]
Synthesized according to general procedure
2 using protected surfactant 11 (2.15 g, 2.79 mmol) and
NaOMe (40 mg, 0.74 mmol). After
concentration in vacuo 1-(1-deoxy-β-d-maltopyranosyl)-4-octyl triazole 3 (1.30 g, 2.58 mmol,
92%) was obtained as a hygroscopic, off white foam.1H NMR (400 MHz, D2O) δ 7.85 (s, 1H, CH-13), 5.50 (d, J = 7.7 Hz, 1H, CH-12), 5.33–5.27 (m, 1H, CH-6), 3.90–3.68 (m, 4H, CH-11 and CH-10 and CHaHb-7 and CHaHb-1), 3.68–3.48
(m, 6H, CHaHb-7 and CHaHb-1 and CH-3 and CH-4 and CH-8
and CH-9), 3.47–3.38 (m, 1H, CH-5), 3.34–3.27 (m, 1H, CH-2,), 2.42 (m, 2H, CH2-15), 1.43
(m, 2H, CH2-16), 1.13 (m, 10H, (CH2)5-17,18,19,20,21), 0.72 (t, J = 6.0 Hz, 3H, CH3-22). 13C{1H} NMR (101 MHz, D2O) δ 147.8,
125.7, 99.9, 87.3, 77.4, 76.4 (2C), 72.8 (2C), 72.1, 72.0, 69.1, 62.4,
60.4, 31.8, 29.2 (3C), 28.8, 25.0, 22.5, 13.7. HRMS (ESI) m/z calcd for C22H39O10N3Na [M + Na]+, 528.2528; found,
528.2525.Consistent with reported literature values.[62]
Benzyl Azide (12)
Synthesized according to Healy et al.[63] Benzyl bromide (6.95 mL, 58.5 mmol, 1 equiv) was added dropwise
to a solution of sodium azide (7.6 g, 117 mmol, 2 equiv) in (3:1 acetone/water,
100 mL), and the resulting mixture was stirred at room temperature
for 1 h. The reaction was diluted with water (200 mL) and extracted
with ethyl acetate (3 × 300 mL). The combined layers were washed
with brine (2 × 200 mL), dried (MgSO4), and concentrated in vacuo to give benzyl azide 12 as a crude
colorless oil (7.32 g, 55.0 mmol, 94%). Due to instability 12 was immediately used in the next step.1H NMR (400
MHz, CDCl3) δ 7.44–7.29 (m, 5H, CH-3 and CH-3′ and CH-4 and CH-4′ and CH-5), 4.35 (s, 2H, CH2-1). 13C{1H} NMR (101 MHz, CDCl3) δ 128.9, 128.3, 128.2, 54.8.Consistent with reported
literature values.[63]
Tris(benzyltriazolylmethyl)amine
(TBTA, Ligand C) (13)
Synthesized according to Zhu et al.[64] Benzyl
azide 12 (6.87 mL, d = 1.066
g/mL, 55 mmol, 4 equiv) was dissolved in tert-butyl
alcohol (100 mL) in a 250 mL round-bottom flask equipped with a magnetic
stir bar. Tripropargylamine (2.444 mL, d = 0.927
g/mL, 17.2 mmol, 1 equiv) was subsequently added, and the flask was
placed in a water bath at rt. Cu(OAc)2·H2O (212 mg, 1 mmol, 0.06 equiv) was added in the solid form, and the
reaction flask was left uncovered while being stirred for 5 min. The
flask was then closed with a rubber septum equipped with an argon
balloon. The reaction mixture was allowed to stir overnight, during
which time a precipitate formed. The precipitate was purified by flash
column chromatography (1–3% MeOH in DCM) to afford a pink solid.
This was then dissolved in a minimum of hot MeCN, and crystallization
was induced through addition of Et2O. The crystals were
collected by filtration to provide TBTA 13 (7.78 g, 14.7
mmol, 85%) as a white crystalline solid.1H NMR (400
MHz, CDCl3) δ 7.65 (s, 3H, CH-3), 7.38–7.30 (m, 9H, CH-6 and CH-6′ and CH-8), 7.29–7.22
(m, 6H, CH-7 and CH-7′),
5.50 (s, 6H, CH2-4), 3.70 (s, 6H,
CH2-1). 13C{1H} NMR (101 MHz, CDCl3) δ 134.7, 129.1, 128.7, 128.0,
54.2. HRMS (ESI) m/z calcd for C30H31N10 [M + H]+, 531.2728;
found, 531.2725.Consistent with reported literature values.[64]
3-Bromopropyl Acetate (14)
Synthesized according to Hong et al.[65] A mixture of Ac2O (2.24 mL, 21.58 mmol, 1 equiv)
and
Et3N (3.31 mL, 21.58 mmol, 1 equiv) was added to 3-bromo-propanol
(1.88 mL, 21.58 mmol, 1 equiv) dissolved in CH2Cl2 (30 mL) and stirred at room temperature for an hour. The reaction
mixture was washed with saturated aqueous NaHCO3 (2 ×
40 mL) and brine (2 × 40 mL). The organic layer was dried (MgSO4) and concentrated in vacuo to afford 3-bromopropyl
acetate 14 (3.50 g, 19.3 mmol, 90%) as a colorless liquid.1H NMR (400 MHz, CDCl3) δ 4.20 (t, J = 6.1 Hz, 2H, CH2-3),
3.47 (t, J = 6.5 Hz, 2H, CH2-1), 2.18 (p, J = 6.4 Hz, 2H, CH2-2), 2.06 (s, 3H, CH3-5). 13C{1H} NMR (101 MHz, CDCl3) δ 170.9, 62.2, 31.7, 29.4, 20.9.Consistent
with reported literature values.[65]
3-Azidopropyl
Acetate (15)
Synthesized according to Hong
et al.[65] Water (100 mL) and NaN3 (2.8 g, 43 mmol, 2 equiv) were
added to 3-bromopropyl acetate 14 (3.5 g, 19.3 mmol,
1 equiv), and the resulting solution was stirred at 90 °C overnight.
The mixture was extracted with dichloromethane (3 × 100 mL).
The combined organic layers were dried (MgSO4) and concentrated in vacuo to yield 3-azidopropyl acetate 15 as
pale yellow oil (2.32 g, 15.2 mmol, 79%, some product was lost through
evaporation and hydrolysis).1H NMR (400 MHz, CDCl3) δ 4.15 (t, J = 6.2 Hz, 2H, CH2-3), 3.40 (t, J = 6.7 Hz,
2H, CH2-1), 2.06 (s, 3H, CH3-5), 1.91 (p, J = 6.5 Hz,
2H, CH2-2). 13C{1H} NMR (101 MHz, CDCl3) δ 171.0, 61.3, 48.2,
28.1, 20.9.Consistent with reported literature values.[65]
Tris(3-acetoxypropyltriazolylmethyl)amine
(16)
Synthesized according to Hong
et al.[65] 3-Azidopropyl acetate 15 (4.91 g, 34.2 mmol, 4.0 equiv)
was dissolved in tert-butyl alcohol (50 mL) in a
100 mL round-bottom flask equipped with a magnetic stir bar. Tripropargylamine
(1.21 mL, 8.56 mmol, 1.0 equiv) was subsequently added, and the flask
was placed in a water bath at rt. Cu(OAc)2·H2O (100 mg, 0.5 mmol, 0.06 equiv) was added in the solid form, and
the reaction flask was left uncovered while being stirred for 5 min.
The flask was then closed with a rubber septum equipped with an argon
balloon. The reaction mixture was allowed to stir overnight, during
which the solution gelated. Diethyl ether (100 mL) was added to the
flask, and the stirring continued for another 10–20 min. The
solvent was evaporated, and flash column chromatography (1–3%
MeOH in CH2Cl2) provided protected THPTA 16 (4.75 g, 8.48 mmol, 99% yield) as a white crystalline solid.1H NMR (400 MHz, CDCl3) δ 7.81 (s,
3H, CH-3), 4.47 (t, J = 7.1
Hz, 6H, CH2-4), 4.10 (t, J = 6.0 Hz, 6H, CH2-6),
3.74 (s, 6H, CH2-1), 2.32–2.23
(m, 6H, CH2-5), 2.08 (s, 9H, CH3-8). 13C{1H} NMR (101
MHz, CDCl3) δ 171.0, 143.9, 124.2, 61.0, 47.2, 47.0,
29.5, 21.0. HRMS (ESI) m/z calcd
for C24H37O6N10 [M + H]+, 561.2892; found, 561.2889.Consistent with reported
literature values.[65]
Tris(3-hydroxypropyltriazolylmethyl)amine
(THPTA,
Ligand B) (17)
Synthesized according to Hong et al.[65] Tris(3-acetoxypropyltriazolylmethyl)amine 16 (4.75 g, 8.48 mmol, 1 equiv) was treated with ammonia in
MeOH (2 M, 160 mL), and the mixture was stirred at 40 °C overnight.
The solution was concentrated, and the residue dried under high vacuum.
The resulting pale yellow solid was dispersed in acetonitrile, sonicated
to further break up the solid, filtered, washed with acetonitrile,
and dried under vacuum to yield THPTA 17 (3.66 g, 84.2
mmol, quantitative yield) as a white solid.1H NMR
(400 MHz, D2O) δ 7.91 (s, 3H, CH-3), 4.48 (t, J = 7.0 Hz, 6H, CH2-4), 3.80 (s, 6H, CH2-1), 3.55 (t, J = 6.2 Hz, 6H, CH2-6), 2.10 (p, J = 6.7 Hz, 6H, CH2-5). 13C{1H} NMR (101
MHz, D2O) δ 143.9, 125.9, 58.8, 48.1, 47.8, 32.4.
HRMS (ESI) m/z calcd for C18H31O3N10 [M + H]+, 435.2575;
found, 435.2573.Consistent with reported literature values.[65]
Propargyl Hepta-O-acetyl-β-d-maltopyranoside
(18)
A flame-dried 250 mL flask
was charged with peracetylated maltose 9 (19.0 g, 28.0
mmol, 1 equiv) and 4 Å MS (5.00 g), capped
with a rubber septum and filled with argon. To the flask dry DCM (100
mL) and propargyl alcohol (3.26 mL, 56 mmol) were sequentially added
via syringe. The reaction mixture was cooled to 0 °C with an
ice bath, and BF3·Et2O (12 mL, 84 mmol)
was slowly added dropwise. After stirring overnight, the reaction
was quenched by slow addition of sat. aq. K2CO3 (100 mL). The organic layer was subsequently washed with H2O (100 mL) and brine (100 mL), dried (MgSO4), concentrated in vacuo, and purified by flash column chromatography (30%
EtOAc in hexane) to yield propargyl hepta-O-acetyl-β-d-maltopyranoside 18 (12.0 g, 17.8 mmol, 64%) as
a brown foam. 18 was obtained exclusively as the β-anomer;
residual starting material consisted of pure α-anomer.1H NMR (400 MHz, CDCl3) δ 5.41 (d, J = 4.0 Hz, 1H, CH-6), 5.35 (dd, J = 10.6, 9.5 Hz, 1H, CH-4), 5.28
(t, J = 8.9 Hz, 1H, CH-10),
5.05 (dd, J = 10.3, 9.5 Hz, 1H, CH-3), 4.90–4.81 (m, 2H, CH-11 and CH-5), 4.80 (d, J = 7.8 Hz, 1H, CH-12), 4.50 (dd, J = 12.1, 2.7 Hz, 1H,
CHaHb-7), 4.35 (d, J = 2.4 Hz, 2H, CH2-13),
4.24 (ddd, J = 11.8, 7.4, 4.1 Hz, 2H, CHaHb-1 and CHaHb-7), 4.08–3.99 (m, 2H, CHaHb-1 and CH-9), 3.95 (ddd, J = 10.3, 3.9, 2.3 Hz, 1H, CH-2), 3.72 (ddd, J = 9.6, 4.3, 2.7 Hz,
1H, CH-8), 2.47 (t, J = 2.4
Hz, 1H, CH-15), 2.14 (s, 3H, CH3CO), 2.10 (s, 3H, CH3CO), 2.04 (s, 3H, CH3CO), 2.04
(s, 3H, CH3CO), 2.02 (s, 3H, CH3CO), 2.01 (s, 3H, CH3CO), 2.00 (s, 3H, CH3CO). 13C{1H} NMR (101 MHz, CDCl3) δ 170.6, 170.6, 170.3, 170.1, 169.8, 169.5, 97.7, 95.6, 78.2,
75.7, 75.4, 72.6, 72.3, 71.9, 70.1, 69.4, 68.6, 68.1, 62.7, 61.6,
60.5, 56.0, 21.02, 20.95, 20.80, 20.79, 20.72, 20.70. HRMS (ESI) m/z calcd for C29H38O18Na [M + Na]+, 697.1950; found, 697.1932.
IR (ATR) ν (cm–1) thin film, CH2Cl2: 3275 (w), 2960 (w), 1748 (s), 1434 (w), 1369 (m),
1229 (s), 1040 (s). [α]25D = +40.8 (c = 1.00, CH2Cl2).
1-Azidooctane
(5)
Synthesized according to Murnane et
al.[66] Bromo alkane (8.95 mL, 51.78 mmol,
1 equiv) and sodium azide (10.0
g, 155.3 mmol, 3 equiv) were added to a mixture of acetone/water (3:1,
80 mL). The solution was heated to 60 °C for 8 h. After completion
of reaction, the solution was cooled to room temperature and excess
solvent was removed under vacuum. The resulting aqueous solution was
extracted with hexane (3 × 80 mL). The combined organic extracts
were washed with brine and dried (MgSO4), and excess solvent
was removed in vacuo to obtain 1-azidooctane 5 (6.32 g, 40.7 mmol, 79%) as a transparent liquid.1H NMR (400 MHz, CDCl3) δ 3.25 (t, J = 7.0 Hz, 2H, CH-1), 1.64–1.54
(m, 2H, CH-2), 1.42–1.19 (m, 10H, (CH2)5-3,4,5,6,7), 0.91–0.85
(m, 3H, CH3-8). 13C{1H} NMR (101 MHz, CDCl3) δ 51.6, 31.9, 29.3,
29.2, 29.0, 26.8, 22.8, 14.2.Consistent with reported literature
values.[66]
Synthesized according to an
adapted procedure from Hu et al.[67] To a
solution of 3-butyn-1-ol (1.06 mL, 14.0
mmol, 1 equiv) in anhydrous THF (20 mL) was added triethylamine (2.15
mL, 15.4 mmol, 1.1 equiv) at 0 °C under an argon atmosphere.
After slow addition of 2-chloro-2-oxo-1,3,2-dioxaphospholane (1.29
mL, 14.0 mmol, 1 equiv), the mixture was warmed to room temperature
and stirred for 2 h. The white suspension was filtered over a sintered
funnel, and the filtrate was concentraed by rotary evaporation and
dried in vacuo to give phospholane 20 (2.30 g, 13.1 mmol,
93%) as a yellow oil. This was used without further purification due
to decomposition of 20 on silica.1H
NMR (400 MHz, CDCl3) δ 4.50–4.32 (m, 4H, CH2-5 and CH2-5′), 4.24 (dt, J = 9.5, 6.8 Hz, 2H, CH2-1), 2.62 (td, J = 6.8,
2.7 Hz, 2H, CH2-2), 2.04 (t, J = 2.7 Hz, 1H, CH-4). 13C{1H} NMR (101 MHz, CDCl3) δ 79.2, 70.6,
66.4 (d, J = 5.7 Hz), 66.2 (d, J = 3.1 Hz, 2C), 20.9 (d, J = 6.6 Hz). 31P NMR (162 MHz, CDCl3) δ 17.4.Consistent with reported literature values.[68]
Authors: Dennis M Vriezema; Marta Comellas Aragonès; Johannes A A W Elemans; Jeroen J L M Cornelissen; Alan E Rowan; Roeland J M Nolte Journal: Chem Rev Date: 2005-04 Impact factor: 60.622
Authors: Anthonius H J Engwerda; Josh Southworth; Maria A Lebedeva; Robert J H Scanes; Philipp Kukura; Stephen P Fletcher Journal: Angew Chem Int Ed Engl Date: 2020-09-03 Impact factor: 15.336