M. Yamaguchi et al.
rier path is open, and molecules change their structure from
X to Y. A possible reason for the change of the path is self-
catalysis. A small amount of X is formed during induction
period and catalyzes the structural change. No X exists in
states E or D, in which the low-barrier path is closed, and
the low-barrier path is open in states G and H, in which X
exists in the reaction system.
Second, the results of the stop-return experiments
(Figure 8) can be explained by this model (Figure 9), in
which cooling was stopped during the temperature decrease,
and returned to heating. In stop-return experiment 1, De fol-
lows the same curve in cooling and heating, because the
low-barrier path (green arrow) is closed. In stop-return ex-
periments 2 and 3, De starts to increase and approaches the
heating curve, because the low-barrier path (green arrow)
opens. The results are again consistent with self-catalysis.
No X exists in stop-return experiment 1, but X is formed in
stop-return experiments 2 and 3. This model provides a
rough sketch of the molecular thermal hysteresis on a mo-
lecular basis.
Third, thermal hysteresis is related to the “memory
effect.”[22] Two states, D and H, appeared at the same tem-
perature of 558C (Figure 9). This means that the molecules
in state D are in the course of cooling, and that the mole-
cules were previously at high temperatures. In the state H,
they are in the course of heating, and they were previously
at low temperatures. The molecules memorize their thermal
history, that is, whether they were heated or cooled previ-
ously.
construct complex systems to detect temperature changes.
This is an advantage of the molecular thermal hysteresis in
sensing a state of temperature increase/decrease. In the case
that the X/Y structural change is transferred to other chemi-
cal events, various temperature-dependent molecular sys-
tems can be constructed. For example, plants discriminate
between morning and evening and between spring and
autumn in flowering. The presence of thermal hysteresis
molecules in plants might be suggested.
Conclusion
Sulfonamidohelicene oligomers up to the nonamer level
were synthesized, and the tetramer (M)-4 formed a helix
dimer in a fluorinated aromatic solvent, which unfolded
with heating. The thermal structural change between a helix
dimer and a random coil in a nonpolar organic solvent ex-
hibited hysteresis. Molecular thermal hysteresis was exam-
ined under different heating/cooling modes. The mechanism
was discussed on the basis of a population model of mole-
cules with helix dimer and random coil structures, which is
consistent with the presence of induction periods, stop-
return experiments, and memory effect. A proposal for ther-
mal hysteresis molecules to serve as sensors for detecting
temperature changes has also been made.
Experimental Section
The above model explains the “memory effect” in thermal
hysteresis by the different relative populations of X and Y
between states D and H, although their energy diagrams are
the same at states D and H. In state D, all the molecules
have a Y structure despite the relative thermodynamic sta-
bility EX =EY; this is because all the molecules had a Y
structure in original state A. The relative populations in
state H are also affected by the population in state F. This is
the origin of the “memory effect,” in which the population
of the past states affects the present states. A single mole-
cule cannot memorize its history because molecular phe-
nomena are reversible.
Finally, proposals on the use of thermal hysteresis mole-
cules as a sensor of a temperature increase/decrease state
are given. Such molecules respond not only to high/low tem-
peratures but also to a temperature increase/decrease. A
temperature increase at 558C can be exhibited by the helix
dimer (X) of the molecule using a De of state H, and a tem-
perature decrease at 558C by the random coil (Y) structure
using a De of state D. A notable feature of this detection
method is that a temperature increase/decrease state can be
determined by observing the molecular structure or De only
at one time point using the “memory effect” without the
need to observe the time dependences of the molecular
structure or De change at more than one time point.
Also note that detection can be conducted at the molecu-
lar level with a large structural change between a helix
dimer (X) and a random coil (Y); that is, there is no need to
Tetramer (M)-4: Pyridine (13 mL, 0.16 mmol) and (M)-12 (59 mg,
73 mmol) in dichloromethane (2 mL) were added to a solution of (M)-2H
(44 mg, 27 mmol) in dichloromethane (2 mL) under an argon atmosphere
at 08C. The mixture was then stirred at room temperature for 16 h. The
solvent was evaporated under reduced pressure. Purification by silica gel
chromatography (hexane/ethyl acetate=2:1 and 1:1) gave (M)-4 (73 mg,
23 mmol, 85%). M.p. 163–1658C (CH2Cl2/hexane); [a]2D4 =À32 (c=2.8 in
THF); 1H NMR (400 MHz, [D6]DMSO): d=0.62–0.67 (m, 9H), 0.71 (t,
J=7 Hz, 6H), 0.91–1.27 (m, 70H), 1.27 (m, 6H), 1.33 (s, 18H), 1.47–1.49
(m, 16H), 1.54 (s, 6H), 1.58 (s, 6H), 3.87 (brs, 6H), 4.05 (t, J=6 Hz,
4H), 7.13–7.16 (m, 6H), 7.24–7.32 (m, 11H), 7.52–7.56 (m, 10H), 7.70 (s,
2H), 7.80 (t, J=8 Hz, 2H), 8.59 (s, 6H), 8.78–8.88 (m, 10H), 9.49 (s,
2H), 11.07 (s, 2H), 11.12 (s, 2H), 11.17 ppm (s, 4H); 13C NMR
(100 MHz, [D6]DMSO): d=13.8, 13.9, 22.0 (2 peaks), 22.6, 22.7 (2
peaks), 25.0, 25.2, 27.7, 28.0, 28.2, 28.5, 28.6 (2 peaks), 28.8 (2 peaks),
31.1, 31.2 (2 peaks), 64.6, 79.5, 112.2, 112.9, 113.7, 121.7, 121.9, 126.7,
127.0, 127.1, 128.3, 128.6, 129.6, 129.8, 130.4 (2 peaks), 130.9, 131.2, 131.5,
133.7, 134.1, 136.8, 136.9, 138.2, 138.6, 140.7, 152.4, 164.3, 165.0 ppm; UV/
Vis (CHCl3, 5ꢁ10À4 m): lmax (e)=304 nm (2.3ꢁ105 mÀ1 cmÀ1); CD (CHCl3,
5ꢁ10À4 m):
l
(De)=282 (146), 321 (À132), 368 nm (69mÀ1 cmÀ1); IR
(KBr): n˜ =3369, 3259, 2925, 2854, 1701, 1336, 1151 cmÀ1; MS (MALDI-
TOF): m/z: calcd for C175H204N10O30S8: 3181.3; found: 3181.3; elemental
analysis calcd (%) for C175H204N10O30S8: C 66.01, H 6.46, N 4.40; found: C
65.72, H 6.66, N 4.23.
Acknowledgements
We are grateful to Professor Hiroyuki Isobe and Dr. Syunpei Hitosugi
(Graduate School of Science and Faculty of Science, Tohoku University)
for helpful discussions on DLS. We also thank Professor Kazue Kurihara
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