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Controlling the aqueous solubility of PNIPAM with hydrophobic molecular units

Journal Article · · Computational Materials Science
 [1];  [2];  [3];  [3];  [4]
  1. Iowa State Univ., Ames, IA (United States)
  2. Argonne National Laboratory (ANL), Argonne, IL (United States). Center for Nanoscale Materials (CNM); Iowa State Univ., Ames, IA (United States)
  3. Argonne National Laboratory (ANL), Argonne, IL (United States). Center for Nanoscale Materials (CNM)
  4. Iowa State Univ., Ames, IA (United States); Argonne National Laboratory (ANL), Argonne, IL (United States). Center for Nanoscale Materials (CNM)
+ Show Author Affiliations
The effect of co-polymerization of thermo-sensitive polymers with hydrophilic or hydrophobic co-monomers on the LCST and the structure of proximal water remains a fundamental and challenging problem. Here, in this study, we employ all-atom molecular dynamics simulations to investigate the aqueous solubility of a thermo-sensitive polymer, poly(N-isopropylacrylamide) (PNIPAM), a hydrophobic polymer polystyrene (PS) and block co-polymers of PNIPAM-co-PS. The simulations of pure oligomers of PNIPAM and PS and their co-polymers are conducted below and above the LCST of PNIPAM to elucidate the effect of increase in number of PS units in PNIPAM-co-PS co-polymers on the coil-to-globule transition of PNIPAM and structure of proximal water. Our simulations suggest that while the LCST of pure PNIPAM oligomers is strongly associated with the structural changes in the proximal water molecules present near PNIPAM, inclusion of PS units disrupts the interactions between PNIPAM and water and promotes the faster dehydration of PNIPAM chains above its LCST. This phenomenon is manifested by a coil-to-globule transition in PNIPAM chains present in PNIPAM-co-PS co-polymers at much shorter times as compared to the pure PNIPAM oligomers. Our results also reveal that with increase in the number of PS units in PNIPAM-co-PS co-polymers the coil-to-globule transition is accelerated.
Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Univ. of California, Oakland, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
AC02-05CH11231; AC02-06CH11357
OSTI ID:
1543529
Alternate ID(s):
OSTI ID: 1397590
Journal Information:
Computational Materials Science, Journal Name: Computational Materials Science Journal Issue: C Vol. 126; ISSN 0927-0256
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Figures / Tables (19)

Table 1(p. 6)table Table 1
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Figure 12(p. 24)figure Figure 12
Figure 13(p. 25)figure Figure 13
Figure 14(p. 27)figure Figure 14
Table 5(p. 28)table Table 5

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Related Subjects

36 MATERIALS SCIENCE
Hydrogen bonding
Materials Science
Molecular dynamics
Polymers
Radial distribution function