Andreas Winter

Supramolecular Polymers and Assemblies


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href="#ud4d04a68-4f69-52ec-bd73-f90e13dfd831">Chapters 6–10) as well as metal‐to‐ligand coordination (Chapter 4) are discussed there. It has to be pointed out that the determination of the molar mass of all these supramolecular polymers is generally nontrivial, since the established direct analytical methods commonly used for traditional, i.e. covalent, macromolecules (e.g. size‐exclusion chromatography [SEC] or mass spectrometry) can often not be applied due to the weak nature of the supramolecular bonds: already small changes in temperature, solvent composition, and concentration might lead to significant changes of the DP [60, 61]. However, several spectroscopic techniques (e.g. nuclear magnetic resonance (NMR) or UV/vis absorption), calorimetry, and analytical ultracentrifugation (AUC) can be applied in many cases to determine the molar masses [33, 36, 37]. A summary of the scope and limitations in characterizing supramolecular polymers is given separately in Chapter 12.

      1.3.2 Ring‐Chain‐Mediated Supramolecular Polymerization

      Source: Winter et al. [39]. © 2012 Elsevier B.V.

(a) Schematic illustration of Kuhn's concept of effective concentration (ceff) for a heteroditopic oligomer. In solution, the end group A will experience an effective concentration of B, if the latter one cannot escape from the sphere of radius l, which is identical to the length of the stretched chain. Thus, the intramolecular association between the termini becomes favored for ceff values higher than the actual concentration of B end groups. (b) Graph depicts how the equilibrium concentration of chains and macrocycles can be correlated to the total concentration (ct) of a ditopic monomer in dilute solution; such a ring-chain supramolecular polymerization typically features a critical concentration.

      Source: de Greef et al. [26]. © 2009 American Chemical Society.

      The toolbox of polymer physics, in particular utilizing random‐flight statistics, enables one to calculate ceff as a function of the length of the polymer chain [75]. In reasonably good approximation, the distribution function for random‐coil polymers is of Gaussian shape [62]; however, this model only holds true for long, flexible chains [76]. In the same context, a particle‐in‐a‐sphere model was utilized by Crothers and Metzger [77]. In a more realistic approach, Zhou employed a worm‐like chain model to determine ceff for short and, thus, semi‐flexible polypeptides [78, 79].

      where EM: effective molarity, Kintra: dimensionless equilibrium