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Beschreibung

As one of the most important classes of soft materials, supramolecular materials are of a mixture of networks of molecular chains/fibrils and a liquid. These self-assembled fibrous/ molecular architectures exhibit various functionalities, ie. superhydrophobicity or superior mechanical strength, etc. and consist of the controllable structures.

They can be functioned via micro/nano engineering, to have some particular added functions, ie. emission materials, tissue engineering scaffolds, bio imaging and sensing materials etc. They have therefore found broad applications in photography, cosmetics, food and petroleum industries and not the least in the biomedical sector where there is strong interest in these materials as drug delivery agents.

The book covers the most important soft functional materials, including small molecule physical gels, silkworm silk and spider silk fibers and functional fibers, with respect both to the fundamentals and to development and engineering methods. It provides the reader with the necessary knowledge on the chemical and physical formation mechanisms of these materials and demonstrates that one can rationally design and tune the fibrillar networks so that the resulting materials exhibit the desired functionalities.

This work is a must-have for all Materials Scientists, Polymer Chemists, Condensed Matter Physicists, and Biotechnologists working in this interdisciplinary field.

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Table of Contents

Related Titles

Title Page

Copyright

Preface

List of Contributors

Section I: Small Molecule Gels

Chapter 1: Molecular Gels and their Fibrillar Networks

1.1 Introduction

1.2 Advances and Perspectives for Design of Gelators

1.3 Stimulation of Gelation by Perturbations Other Than Temperature

1.4 Kinetic Models for Following One-Dimensional Growth and Gelation

1.5 Advances and Perspectives for a Priori Design of Gelators

1.6 Some Final Thoughts

Acknowledgments

References

Chapter 2: Engineering of Small-Molecule Gels Based on the Thermodynamics and Kinetics of Fiber Formation

2.1 Introduction

2.2 Fiber Networks of SMGs

2.3 Crystallization of Nanofibers

2.4 Strategies for Engineering the Micro/Nano Structure of Fiber Networks

2.5 Engineering the Macroscopic Properties of Gels by Design of Fiber Networks

2.6 Conclusions

References

Chapter 3: Applications of Small-Molecule Gels – Drug Delivery

3.1 Introduction

3.2 Hydrogels in Pharmaceutical Applications

3.3 Organogels in Pharmaceutical Applications

3.4 Organogel Delivery of Bioactive Factors in Regenerative Medicine

3.5 Future Directions: Hybrid Organogels

3.6 Conclusion

References

Chapter 4: Molecular Gels for Tissue Engineering

4.1 Introduction

4.2 Low-Molecular-Weight Gelators and Molecular Gels

4.3 Self-Assembly and Gel Structures

4.4 Applications of Hydrogels in Tissue Engineering

4.5 Summary

List of Abbreviations

Appendix: Gelators and their Potential Use and Applications

References

Chapter 5: Molecular Gels for Controlled Formation of Micro-/Nano-Structures

5.1 Introduction

5.2 Structure of Metal/Transition Metal Oxide and Sulfate

5.3 Metallic Nanostructures

5.4 Controlled Formation of Organic and Composite Structures

5.5 Controlling Crystal Growth of Pharmaceutical Substances

5.6 Conclusions and Perspectives

References

Section II: Natural Silk Fibrous Materials

Chapter 6: Spider Silk: Structure, Engineering, and Applications

6.1 Introduction

6.2 Mechanical Design of Spider Silk

6.3 Mimicking Spider Silk

6.4 Applications

References

Chapter 7: Functionalization of Colored/Fluorescent Silkworm Silk Fibrous Materials

7.1 Introduction

7.2 Legend and History of Silkworm Silk

7.3 The Structure of Silkworm Silk

7.4 Functionalization of Silkworm Silk

7.5 Summary and Outlook

References

Section III: Smart Fibers

Chapter 8: Flexible Nanogenerator and Nano-Pressure Sensor Based on Nanofiber Web of PVDF and its Copolymers

8.1 Introduction

8.2 Electrospinning Mechanism and Set-Up

8.3 Nanofiber Web

8.4 Piezoelectric Properties of Electrospun Web of PVDF and its Copolymer

8.5 Flexible Devices

8.6 Conclusion

References

Chapter 9: Electrospun Nanofibers for Regenerative Medicine

9.1 Introduction

9.2 Electrospinning of Nanofibers

9.3 Controlling the Alignment of Nanofibers

9.4 Nanofiber Scaffolds with Complex Architectures

9.5 Applications in Regenerative Medicine

9.6 Concluding Remarks

Acknowledgments

References

Index

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Editors

Prof. Xiang Yang Liu

Xiamen University

Research Institute for Biomimetics

and Soft Matter (Bio Smat)

College of Materials

422 Si Ming Nan Road

Xiamen 361005

P.R. China

and

Donghua University

2999 North Renmin Rd

Songjiang District

Shanghai 201620

P.R. China

and

National University of Singapore

Department of Physics

Faculty of Science

2 Science Drive 3

Singapore 117542

Dr. Jing-Liang Li

Deakin University

Materials & Fiber Innovation

Waurn Ponds, VIC 3217

Australia

All books published by Wiley-VCH are carefully produced. Nevertheless, authors, editors, and publisher do not warrant the information contained in these books, including this book, to be free of errors. Readers are advised to keep in mind that statements, data, illustrations, procedural details or other items may inadvertently be inaccurate.

Library of Congress Card No.: applied for

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library.

Bibliographic information published by the Deutsche Nationalbibliothek

The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data are available on the Internet at <http://dnb.d-nb.de>.

© 2013 Wiley-VCH Verlag GmbH & Co. KGaA, Boschstr. 12, 69469 Weinheim, Germany

All rights reserved (including those of translation into other languages). No part of this book may be reproduced in any form — by photoprinting, microfilm, or any other means — nor transmitted or translated into a machine language without written permission from the publishers. Registered names, trademarks, etc. used in this book, even when not specifically marked as such, are not to be considered unprotected by law.

Print ISBN: 978-3-527-33162-8

ePDF ISBN: 978-3-527-64807-8

ePub ISBN: 978-3-527-64806-1

Mobi ISBN: 978-3-527-64805-4

oBook ISBN: 978-3-527-64804-7

Preface

Nowadays, the advance of modern sciences and technologies depends to a large extent on the step changes in materials science. The research and engineering of materials have become one of the most exciting areas across physics, chemistry, biology, and engineering. Soft matter is a subfield of condensed matter comprising a variety of physical states that are easily deformed by thermal stresses or thermal fluctuations or under normal stress. They include liquids, colloids, polymers, foams, gels, granular materials, and a number of biological materials. These materials share an important common feature in that predominant physical behaviors occur at an energy scale comparable with room-temperature thermal energy.

In the area of materials science and engineering, three trends are of major research interest (Figure 1).

Figure 1 Three major trends in materials science and engineering.

The ultrafunctional materials refer to those having some extraordinary properties. The materials entirely or partially appear to be superhard, superhydrophobic, superhydrophilic, superconducting, and so on. Spider dragline silk fibers can be considered one of the toughest materials in terms of energy versus density. It was estimated that a spider silk string a pencil-width thick can stop a Boeing 747 in flight. Lotus leaves turn out to be one of the common examples of superhydrophobicity, with the capability of self-cleaning. Multifunctional materials correspond to those having more than one major in-use properties/functions, an example being fluorescent silk. Smart and responsive materials are those that respond to some external stimuli in the way that particular properties of the materials change drastically and/or in opposition to conventional materials. Under some external stimuli, the color, optical properties, or conductivity of the materials change correspondingly. Shear responsive fluids, thermal responsive gels, and such materials belong to this type.

In comparison with conventional “hard materials,” soft materials play a more important role in contemporary science and technology. It is the current tendency that many conventional “hard materials” are gradually replaced by soft materials due to the excellent performance, light weight, and broader applications. Subject to structural characteristics, the aforementioned three trends of research can be implemented more easily in soft materials. The increasing demand and broad applications of various special fibers and complex materials can be regarded as two such examples.

Soft materials display combined solid and liquid properties, the so-called rheological properties. Correspondingly, the structures are normally complicated. This can be because soft materials consist of certain network structures. In many cases, these are fibrous network structures, ranging from nanoscale to microscopic scales. Therefore, the understanding on the formation of fibrous networks is the key to fabricate and engineer materials of this type.

This book deals with this type of important soft functional materials. We will take this opportunity to demonstrate a principle: the elegant engineering of materials should be built on decent understanding, which can be illustrated by the so-called engineering triangle (Figure 2). More specifically, the engineering of materials with some particular properties can be implemented by fabricating the structure of the materials, which can be achieved by controlling the formation kinetics. In detail, this concerns the establishment of the correlation between the structure and performance of the materials and the acquirement of formation kinetics of the materials. The latter should allow us to control the structure in order to acquire the materials with particular functionalities. In this regard, our aim is to demonstrate that based on the understanding of the formation mechanism of the materials, one can design and fabricate the materials of new functions and smartperformance/ultraperformance. The approaches described in this book will provide the readers with comprehensive knowledge and feasible approaches in designing and refining performance by tuning the network structure of the materials.

Figure 2Engineering triangle from understanding to engineering: the engineering of materials with some particular in-use properties/performance is implemented by fabricating the structure of the materials. This can be achieved by controlling the formation kinetics.

The book covers subjects related to important soft functional materials that have fibrous network structures. The materials include small-molecule physical gels, polymer gels, natural silk fibrous materials, and network materials based on nanofibrils, with respect to both the fundamentals, and the development and engineering methods. Their applications will concern drug delivery, home and personal care, macromolecule separation, catalysis, templating, tissue engineering, sensing, technical textiles and so on. It provides the reader with the necessary knowledge regarding chemical and physical formation mechanisms of these materials and demonstrates that one can rationally design and tune fibrillar networks so that the resulting materials exhibit desired functionalities. It also shows how materials from Nature, such as spider silk, can be adapted and functionalized for man-made applications and even mimicked in the laboratory.

The uniqueness of this book lies in the combination of the fundamentals of materials formation, engineering principles and approaches, and product design. The basic principles and sciences behind the technical approaches will be discussed in detail so that it is suitable to be adopted as a textbook for graduate students or specialists in this field. Numerous examples of applications and formulation based on the above engineering criteria are highlighted. Therefore, it can also serve as a comprehensive reference for the scientists and engineers working in related fields.

Xiang Yang Liu

Distinguished Professor

List of Contributors

Kevin L. Caran
James Madison University
Department of Chemistry & Biochemistry
901 Carrier Drive, MSC 4501
Harrisonburg, VA 22807
USA
Ning Du
BioSyM
Singapore-MIT Alliance for Research
and Technology Center
1 CREATE Way 138602
Singapore
Perry Fung Chye Lim
National University of Singapore
Department of Pharmacy
Faculty of Science
18 Science Drive 4
Singapore 117543
Singapore
Han Hui Cheong
National University of Singapore
Department of Pharmacy
Faculty of Science
18 Science Drive 4
Singapore 117543
Singapore
Kap Jin Kim
Kyung Hee University
Department of Advanced Materials
Engineering for Information & Electronics
College of Engineering
1732 Deogyeong-daero
Giheung-gu
Yongin-si
Republic of Korea
Lifeng Kang
National University of Singapore
Department of Pharmacy
18 Science Drive 4
Singapore 117543
Singapore
Dong-Chan Lee
University of Nevada, Las Vegas
Department of Chemistry
4505 South Maryland Parkway
Las Vegas, NV 89154
USA
Jing-Liang Li
Deakin University
Australia Future Fibres
Research and Innovation Centre
Institute for Frontier Materials
Waurn Ponds
Victoria 3216
Australia
Baozhang Li
University of Science and Technology of China
Department of Polymer Science and Engineering
Hefei National Laboratory for Physical Sciences at the Microscale
No. 96, Jinzhai Road
Hefei 230026
P.R. China
Naibo Lin
Xiamen University
Research Institute for Biomimetics and
Soft Matter (Bio Smat)
College of Materials
422 Si Ming Nan Road
Xiamen 361005
P.R. China
Wenying Liu
Washington University in St. Louis
Department of Energy
Environmental and Chemical Engineering
St. Louis, MO 63130
USA
Xiang Yang Liu
Xiamen University
Research Institute for Biomimetics and
Soft Matter (Bio Smat)
College of Materials
422 Si Ming Nan Road
Xiamen 361005
P.R. China
and
Donghua University
2999 North Renmin Rd
Songjiang District
Shanghai 201620
P.R. China
and
National University of Singapore
Department of Physics
Faculty of Science
2 Science Drive 3
Singapore 117542
Singapore
Dipankar Mandal
Kyung Hee University
Department of Advanced Materials Engineering for Information & Electronics
1732 Deogyeong-daero
Giheung-gu
Yongin-si
Gyeonggi-do 446-701
South Korea
Guangyi Ren
University of Science and Technology of China
Department of Polymer Science and Engineering
Hefei National Laboratory for Physical Sciences at the Microscale
No. 96, Jinzhai Road
Hefei 230026
P.R. China
Bin Sheng Wong
National University of Singapore
Department of Pharmacy
18 Science Drive 4
Singapore 117543
Singapore
Stavros Thomopoulos
Washington University in St. Louis
Department of Biomedical Engineering
St. Louis, MO 63130
USA
and
Washington University School of Medicine
Department of Orthopaedic Surgery
St. Louis, MO 63110
USA
Yongrong Wang
University of Science and Technology of China
Department of Polymer Science and Engineering
Hefei National Laboratory for Physical Sciences at the Microscale
No. 96 Jinzhai Road
Hefei 230026
P.R. China
Richard G. Weiss
Georgetown University
Department of Chemistry and
Institute for Soft Matter Synthesis and Metrology
37th and O Streets NW
Washington, DC 20057-1227
USA
Guoyang William Toh
National University of Singapore
Department of Physics
2 Science Drive 3
Singapore 117542
Singapore
Younan Xia
Washington University in St. Louis
Department of Biomedical Engineering
St. Louis, MO 63130
USA
Chunye Xu
University of Science and Technology of China
Department of Polymer Science and Engineering
Hefei National Laboratory for Physical Sciences at the Microscale
No. 96 Jinzhai Road
Hefei 230026
P.R. China
and
University of Washington
Affiliate Faculty
Seattle, WA 98195-2600
USA
Hongyao Xu
Donghua University
College of Materials Science and Engineering
Shanghai 201620
P.R. China
Jun Yan
National University of Singapore
Department of Pharmacy
18 Science Drive 4
Singapore 117543
Singapore
Sun Yoon
Kyung Hee University
Department of Advanced Materials Engineering for Information & Electronics
1732 Deogyeong-daero
Giheung-gu
Yongin-si
Gyeonggi-do 446-701
South Korea
Sui Yung Chan
National University of Singapore
Department of Pharmacy
Faculty of Science
18 Science Drive 4
Singapore 117543
Singapore

Section I

Small Molecule Gels

Chapter 1

Molecular Gels and their Fibrillar Networks

Kevin L. Caran, Dong-Chan Lee, and Richard G. Weiss

1.1 Introduction

This chapter will review, in a non-comprehensive fashion, the formation and properties of objects with very high aspect ratios [essentially one-dimensional (1D) objects at the micron or larger distance scales] made from organic molecules [topologically zero-dimensional (0D) objects at micron-range distance scales] which are not linked covalently and aggregate upon separation from dilute organic solutions or sols [1]. It will stress those 1D structures which undergo further assembly into 3D networks [self-assembled fibrillar networks (SAFINs)] that entrap the liquid in which they form. It remains largely unknown how and why many small organic molecules with very different shapes and functionalities [2] are able to separate from dilute organic (NB, leading to organogels) or aqueous (NB, leading to hydrogels) solutions or sols in the form of objects with very high aspect ratios [1].

The general name given to such materials is “molecular gels”, and the molecules that constitute them are referred to as low-molecular-mass organic gelators (LMOGs), although many of the materials may not meet the strict rheological definition of a gel as required by their viscoelastic properties [3]. The smallest known LMOG is N,N′-dimethylurea, 88 DA [4], and the largest are limited arbitrarily at < 2000 Da (although with some “poetic license”). The range of small molecules that can lead to gels via fiber and SAFIN formation is now in the hundreds, if not more than one thousand [1]. Because the molecules are aggregated but not linked covalently, the disassembly of the 1D objects (and their 3D networks) can be accomplished by application of heat, dilution, shear, or other perturbations which will be discussed.

The history of gels made from LMOGs may go back as far as the fourteenth century, although this example remains unsubstantiated and controversial [5]. The first formal description of a hydrogel of which we are aware, employing lithium urate, was reported by Lipowitz in 1841 [6]. A description of gels with the well-known and widely used LMOG, 1,3:2,4-di-O-benzylidene-d-sorbitol (1), was published in 1891 [7]. However, it was not until the middle of the twentieth century that scientists began to confront the intricacies of SAFINs and different forms of gels. In his “structural classification of gels,” Flory included those starting with 0D molecules as an afterthought, naming them “particulate, disordered structures”! [8] Although much has been learned during the last decade about the supramolecular assembly of polymeric chains (topologically 1D objects) into a variety of 2D and 3D objects [9, 10], much less is known about the initial steps that take 0D molecules to 1D objects, such as fibers, rods, tapes, and nanotubes (Figure 1.1); for the purposes of this chapter, all of these high-aspect-ratio objects will be designated as “fibers”, regardless of the details of their shape, unless specified otherwise for purposes of differentiation.

Figure 1.1 Cartoon representation of the steps in the evolution of LMOGs (0D objects; tear drops) to fibers (1D objects) and, in some cases, to SAFINs (3-D objects) in liquids (wavy lines). Lower left is a freeze-fracture electron micrograph of a SAFIN.

Reprinted with permission from Ref. [11]. Copyright 1989 American Chemical Society.

This type of 1D aggregation is distinguished from other types of self-assembly [12] that do not lead to fibrous networks and may involve plates, multilayered objects [13], and even bulk crystals as the basic units [14]. In many cases, the micro-phase separation of the 1D objects leads to organogels when the liquid is organic or hydrogels when it is aqueous. In both cases, there is an evolution of the aggregate structures which is controlled by very complex dynamics.

To date, the vast majority of studies of molecular gels has concentrated on structural and rheological aspects of their properties. In fact, the number of detailed studies treating both structure and kinetics of fiber formation in SAFINs is relatively small [15–19]. As a result, many questions remain about how small aggregates of LMOGs (still topologically 0-D objects at submicron length scales) form and then become (topologically) 1D objects. There are many important gaps in our knowledge as well about how 1D fibers transform into 2D or 3D objects, how 1D fibers of a SAFIN revert to 3D (microcrystalline) objects [20–23], how they undergo Ostwald ripening [21], and what controls their thixotropic behavior [24]. SAFINs may form as depicted in Figure 1.1 or by a completely different series of events, depending on the structure of the gelator, its concentration, the liquid component, and the protocol to transform the solution/sol to the gel. For example, in an alternative mode, new grains may develop on the sides of fibers or by tip-splitting (i.e., branching at the ends of growing fibers), giving rise to branched structures that lead to branched networks or spherulites [19]. Most of the systems discussed here undergo microphase separation by nucleation phenomena rather than by spinodal decomposition mechanisms [25].

Because the LMOG molecules in fibers are not attached covalently, the relevant intermolecular interactions include H-bonding, π-π-stacking, dipolar interactions, and London dispersion forces [1, 26]. In fact, the manner in which 1D objects, especially those composed of unbranched polymeric chains (i.e., objects in which one dimension of aggregation is due to covalent bonds) [27], convert to 2D and 3D objects [28] has received much more attention than the 0D → 1D transformations (i.e. those involving LMOGs) because experimental observations become much easier as the objects under scrutiny increase in size. Many of the polymeric gel networks are not disassembled by the same stimuli mentioned above; instead, they undergo conformational changes or separate otherwise physically from other polymer chains without losing their 1D status. For both 1D objects composed of LMOGs and polymer chains, additional interactions are needed to make them into 3D networks. Those interactions can be chain entanglements, branching, or inter-object associations involving “junction zones” of various types. Branching of the 1D objects made from LMOGs can be thought of as a consequence of defective growth during the 0D → 1D process [19c]. Junction zones occur at points of intersection between two 1D objects, and the participating molecules are frequently more disordered than within the “undisturbed” parts along the object. Alternatively, a junction zone may consist of abutting segments of two objects.

In some of the 1D objects, the constituent molecules are packed in a crystalline fashion whereas others, such as giant worm-like micelles, are not. The amount of detailed packing information potentially available about the crystalline objects is greater than about the amorphous (non-crystalline) ones. Yet, the ability of gels made with the amorphous (non-crystalline) 1D objects to recover their viscoelastic properties after cessation of severe shearing [24b] is much greater because many of them are in dynamic equilibria which allows self-annealing with time.

The study of 1D objects, especially those composed of LMOGs, and their gels requires multidisciplinary approaches among chemists, physicists, chemical engineers, biologists, and theoreticians. Research in this area, a branch of supramolecular chemistry, is important because systems based upon 1D objects and their assemblies, especially if the keys to designing them de novo can be discovered, can yield fundamental understanding of complex and highly selective catalytic processes, useful devices, and new ways to exploit systems available in nature. It can also shed light on the evolution and function (or malfunction) of systems of important biomolecular fibers that are involved with blood clotting and neurodegenerative diseases such as Alzheimer's, mad cow disease, and sickle cell anemia [29]. Also, fiber aggregates of small molecules are used to modify the mechanical properties of polymers [30] and food-related oils [31]. Ingenious manipulation of gelators in sols can lead to monodomains of 1D viscoelastic objects which are centimeters long [32] and may be useful in biological applications.

The questions of “How” and “Why” molecules with such diverse structures organize into 1D objects – fibers, tapes, nanotubes, and so on, with very high aspect ratios – remain largely unanswered. Although there are several theoretical [33–36] and experimental approaches [9, 15–17b, 19c,d,e, 37–40] to explain such aggregation and growth and even some predictive models for molecules with specific structures [19a,b, 35, 41–43], a generally applicable set of rules for when 1D objects will form is not available. It is likely that more than one basic mechanism controls the aggregation of molecules into the 1D objects, and the specific mechanism depends on the structure of the molecules, the nature of the solvent in which aggregation occurs [44], and the mode by which the sol phase is transformed into a gel [45]. Besides the need for strong attractive interactions along the long axis of the objects [46], there seem to be no real unifying principles. Although this chapter cannot present solutions to the parts of this science that remain unresolved, it can, is intended to, and hopefully will present a current picture of the state of the art in ways that allow the reader to discern where fruitful approaches to solutions may lie.

1.2 Advances and Perspectives for Design of Gelators

1.2.1 Analyses of Structure Packing via X-Ray, Synchrotron, and Other Techniques, Including Spectroscopic Tools

Elucidation of the molecular packing within the fibers formed during organogelation remains a challenging task. However, this information can provide key insights into the design of better gelators. Typically, fibers are characterized in the gel state (native gel, henceforth) or the dried gel state (xerogel). Microscopic characterization techniques such as polarized optical microscopy (POM), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and atomic force microscopy (AFM) have provided pictures of fiber morphologies in xerogels. Various characterization methods, as described in this section, can yield detailed information on the structures of SAFINs of gels at different length scales. However, information from a single characterization method is usually insufficient to reveal all aspects of a gel structure. Complementary tools should be employed and data from them used to build a cohesive picture of gel structure, including fiber morphology, molecular packing, intermolecular interactions, and so on.

A caveat noted by many others is reiterated here: the morphology of a xerogel does not represent necessarily that of the native gel because fiber damage or secondary assembly may occur during the drying process [47]. To minimize the possibility of such complications, freeze-fracture/etching SEM, and cryo-TEM techniques have been employed to visualize SAFIN structures of native gels. For example, the 3D network of 1D fibers of a steroid LMOG (2) in cyclohexane gel was revealed by a freeze-etching replication, electron-microscopy method (Figure 1.2a) [48]. Albeit less well resolved, POM can also provide the SAFIN structure of an organogel. Figure 1.2b demonstrates the POM image of a native gel of n-hexatriacontane (3) in silicone oil prepared in a flattened, sealed glass capillary [49].

Fibrillar structures can be clearly visualized from xerogels by SEM and AFM techniques, as shown in Figure 1.3 with gelator 4 [50]. However, as mentioned above, a correlation between such images and those of the gel itself should be made only if supported by additional characterization techniques, such as small angle scattering (SAS) [51], which relate the SAFIN structure and xerogels.

Figure 1.3 Structure of gelator 4 (a), SEM (b) and AFM (c) images from xerogels of 4.

Reprinted with permission from Ref. [50]. Copyright 2005 Wiley.

SAS, including X-rays (SAXS) and neutrons (SANS), is a powerful technique to provide structure information about native gels. It has been used to provide insights into many gel structures [52]. As a result of their high intensity, synchrotron sources can enable characterization of native gels better than conventional X-ray sources. To perform SANS experiments, either deuterated gelators or deuterated solvents (or other contrasting liquids) are required. The difficulty to deuterate significant portions of most gelator structures has resulted, as expected, in the vast majority of studies being conducted with deuterated liquid components.

SAS is a model-based approach involving extensive mathematical operations; fortunately, many fitting programs are available. When SAS profiles of a native gel are obtained, an appropriate model needs to be chosen (e.g., rigid-rod, tubule, ribbon, or cylinder). Then, comparison is made between the simulated and experimental SAS profiles to validate the chosen model after the fitting parameters for size, persistence length, and so on, have been optimized. Terech and co-workers have reported many SAS investigations on gels, revealing the morphology of fibers as well as their junction zones [53]. For example, gelator 5 [53c] in decane formed hexagonally packed bundles (from structure factor analysis at large-angle scattering) of cylinders (from form factor analysis at low-angle scattering) (Figure 1.4). In addition, a solvent-dependent morphology change to more rectangular ribbon-shaped objects was observed in 1-alkanols.

Sakurai et al. have employed synchrotron SAXS to support a previously proposed model [54] for molecular arrangement in a helical fiber of an azobenzene–cholesterol-based gelator (6) [52a]. A hollow cylinder model exhibited better agreement with the experimental SAXS profile than a solid cylinder model, suggesting that higher-electron-density azobenzene moieties are located at the exterior of the fibers while lower-electron-density cholesterol moieties are at the core of the fibers (Figure 1.5).

Wide-angle X-ray diffraction (WAXD) [55] has been utilized to investigate molecular packing within the crystalline fibers of gelators. Solving the crystal structure from single-crystal X-ray crystallography is a desired method to identify molecular packing. However, growing single crystals of LMOGs suitable for diffraction has been quite challenging; many form fibers or crystallize in a morph that is different from the one in the gel fibers. When a single crystal from a gelator is available and the X-ray powder diffraction (XRD) patterns from the crystal (or simulated XRD patterns from the crystal structure) and from the organogel are the same, molecular packing in the fiber can be elucidated [9]. As mentioned, the morphs of gelator fibers and bulk crystals may be either identical [4, 56] or different [57]. Ostuni et al. have demonstrated that XRD patterns of gelator fibers in a native gel (5/1-octanol) can be isolated by subtracting those of the solvent [57a]. It was found that the fibers had molecular packing closer to that of the neat solid cooled from the melt than to crystals isolated by precipitation from solution. The gelator (R/S)-7 (Figure 1.6a) also exhibited a similar behavior [57b]. The solvent subtracted XRD of its decane gel showed a pattern closer to that of the sublimed solid than to the bulk crystal (Figure 1.6b). Based on the single-crystal data of the sublimed solid, molecular packing in the fibers has been proposed (Figure 1.6c).

Figure 1.6 (a) Structure of gelator (R/S)-7. (b) Comparison of simulated XRD patterns of both known solid-state morphologies of (R/S)-7 (1: single-crystal data from solution, 2: single-crystal data from sublimed material) to XRD patterns of (R/S)-7 (3: sublimed solid, 4: solid cooled from neat melt, 5: solvent subtracted decane gel). (c) Aggregation model for (R/S)-7 in gel fibers.

Reprinted with permission from Ref. [57b]. Copyright 2008 American Chemical Society.

Dastidar et al. have used molecular packing in gel fibers and in bulk crystals as obtained from XRD data to design effective gelators by identifying supramolecular synthons capable of 1D (and 2D) hydrogen-bonding (HB) networks that promote anisotropic fiber growth [9]. For example, dicyclohexylammonium 4-nitrocinnamate 8 (Figure 1.7a) gelates a few organic liquids such as benzene, toluene, xylene, and even gasoline [58].

Figure 1.7 (a) The structure of gelator 8 and 1D HB network of ion pairs in the crystal structure of 8. (b) XRD patterns under various conditions for 8. (c) The structure of nongelator 9 and 0D HB network of ion pairs in the crystal structure of 9.

Reproduced from Ref. [58] with permission of The Royal Society of Chemistry. http://dx.doi.org/10.1039/B504969E

A single-crystal packing structure of the organic salt 8 shows that one-dimensional HB is the most important intermolecular interaction responsible for the molecular arrangement. As shown in Figure 1.7b, XRD patterns simulated from the single-crystal data are nearly superimposable with those from the bulk solid, indicating the same molecular packing. Also, xerogels from benzene and p-xylene gels of 8 showed XRD patterns nearly identical to that of the pattern simulated from the single-crystal data. This result indicates that fibers in the xerogels adopt the same molecular arrangements found in the single crystal and the bulk solid. However, the molecular packing in the gel state could not be directly correlated with that in the single crystal since the XRD patterns from the gel was difficult to obtain due to the strong scattering from the solvent. Importantly, salt 9 was unable to form a gel, and only 0D HB networks were identifiable in the single crystal (Figure 1.7c).

Additional spectroscopic tools, including nuclear magnetic resonance (NMR), Fourier-transform infrared (FT-IR), UV–vis absorption, fluorescence (FL), and circular dichroism (CD), are available to monitor the changes in physical properties of aggregates during gelation. These techniques are able to identify different aspects of intermolecular interactions which contribute to gelation. CD spectroscopy, limited to chiral gelators or liquids, is discussed in Section 1.2.2.

A comprehensive description of NMR investigations of gels has been presented in a recent review by Shapiro [59]. Upon transition from a sol to a gel phase, proton resonances in 1H NMR spectra experience significant broadening or disappear completely due to limited molecular motion [53d, 60]. For example, aromatic, vinylic, and some aliphatic protons of compound 10 cannot be observed in gel state spectra, but are clearly seen in the solution/sol phase spectra at high temperature where the system is a solution/sol (Figure 1.8) [60b].

Figure 1.8 (a) Structure of gelator 10. (b) Variable temperature 1H NMR spectra of 10 mg/ml 10 in C6D6 in its gel phase (25 and 35 °C) and its solution/sol phase (45 and 55 °C).

Reprinted with permission from Ref. [60b]. Copyright 2009 American Chemical Society.

Gels where solvent molecules are incorporated within fibers do allow more proton signals from gelator molecules to be observed, although some line broadening and shifts in proton resonances occur [52b, 61]. For example, a gel of 11 (Figure 1.9a) [61c] in toluene-d8 exhibited a downfield shift of the N-H protons (Ha and Hb) in the gel state, indicating the presence of HB in the fibers (Figure 1.9b). The aromatic Hc signal appeared as a doublet in the solution/sol state and as two overlapping doublets in the gel state due to their inequivalence as packed in the fibers (Figure 1.9c). The spectra also indicate significant π-π stacking in the gel fibers.

Figure 1.9 (a) Structure of leucine-based gelator 11. (b) Superimposition of 1 wt% 11 in toluene-d81H NMR spectra at different temperatures (diphenylmethane as internal standard). (c) Change of signals from the two Hc protons upon heating (in the rectangle). Intensities are normalized.

Reprinted with permission from Ref. [61c]. Copyright 2010 American Chemical Society.

Gelators with chromophores or fluorophores typically suffer spectral changes as sol–gel transitions occur [62]. Cofacial (H-aggregate) and off-face stacking (J-aggregate) of chromophores induce a blue [63] or redshift [64], respectively, in absorption spectra. J-aggregate formation is more common and, in many cases, induces enhancement of emission intensities [60, 65], whereas H-aggregates frequently lead to decreased emission intensities. However, at this point, there are too few examples and inadequate theoretical understanding to conclude that these observations are universal. For example, the xerogel of 12 (Figure 1.10a) has an FL quantum efficiency (ΦF) nearly two orders of magnitude higher than that of a dilute chloroform solution (Figure 1.10b) [65b]. The redshift in the emission maximum in the gel state (439 nm at 25 °C) from the solution state (402 and 423 nm at 80 °C) indicates J-aggregate formation as the cause of the emission enhancement (Figure 1.10c). Aggregation-induced emission enhancement can also be induced by restriction of molecular motion in the gel fibers, which decreases the rates of internal conversion and/or freezes in more planar and conjugated conformations [66].

FT-IR spectroscopy is a valuable tool to identify certain intermolecular interactions in the gel fibers, especially HB [61c, 65c]. Temperature-dependent FT-IR spectra of gelator 11 [61c] clearly shows the existence of intermolecular HB between N–H and C=O groups. In the sol and gel phases, at 90 and 30 °C, respectively, N–H and C=O stretching peaks were shifted to lower frequencies as a result of HB formation (Figure 1.11).

Figure 1.11 Temperature-dependent FT-IR spectra of 11 in toluene-d8 as gels and solutions/sols (0.8 wt%).

Reprinted with permission from Ref. [61c]. Copyright 2010 American Chemical Society.

The investigation of molecular organization in gel fibers by optical properties such as linear birefringence and FL dichroism has received little attention thus far although its potential utility is very high. In one example, fibers of gelator 13 (2,3-bis-n-decyloxyanthracene, Figure 1.12a) were aligned perpendicular to the direction of a magnetic field of 20 T (due to the diamagnetism of the LMOG) that was applied during the gelation process [67].

Figure 1.12 (a) Structure of gelator 13. (b) Polarized fluorescence spectra of a magnetically aligned gel of 13 in butanol; excitation at 340 nm was parallel to the long axis of the fibers and emission was either parallel (solid line) or perpendicular to the fiber long axis (dotted line); no changes in the unpolarized fluorescence spectra were detected before and after application of the magnetic field. (c) Calculated birefringence curves (solid lines) and experimental data points; the different fitting curves correspond to different stacking geometries of the fiber structure shown in (c); see text for explanation.

Reprinted with permission from Ref. [67]. Copyright 2005 American Chemical Society.

A higher emission intensity was observed when the detection was parallel to the fiber direction, which is also parallel to the optical transition dipole moment of molecules of 13 (Figure 1.12b); the transition dipole is perpendicular to the long molecular axis and in the plane of the aromatic ring. From this experiment, it was deduced that molecules in the fibers align with an angle (0 ≤ δ ≤ 54.7 °) relative to the original magnetic field. δ is defined as the usual polar angle in polar coordinates which describes the orientation of the long molecular axis with respect to the direction of magnetic field. This result is in good agreement with the birefringence data in which the alignment angle was estimated to be 0 ≤ δ ≤ 45 °. Furthermore, possible molecular models were provided, and these agreed well with the calculated birefringence and experimental data (Figure 1.12c). The field-induced birefringence from structures of I and II are positive (curve a), which is inconsistent with the experimental data. Both III and IV produce negative field-induced birefringence: III was inconsistent with fiber alignment direction from SEM; IV overestimates the birefringence (curve c). Only structures V and VI agree well with the experimental birefringence. In addition, the fiber and molecular arrangement directions in these models are consistent with SEM and FL dichroism results.

In another recent and elegant report, FL dichroism of nanofibers in some white-light-emitting multicomponent gels has been utilized to understand fiber structure [68]. The gels consist of 0.012 equiv. of green-emitting (14) and red-emitting (15) energy transfer (ET) acceptors (Figure 1.13a,b) added to the matrix of blue-emitting gelator 13 (Figure 1.12a for structure and Figure 1.13b for FL in gel) in DMSO (Figure 1.13c). The anisotropy of individual fibers in the white (W)-gel was analyzed with confocal FL polarization (P, Equation 1.1 where the intensity of linearly polarized emission is measured parallel to the excitation beam and the intensity of polarized emission is measured on the perpendicular axis) imaging under linearly-polarized laser excitation.

1.1

1.2.2 Chirality as a Tool – Comparisons between Optically Pure and Racemic Gelators and Optically Pure and Racemic Liquids

LMOGs with stereogenic centers have been studied extensively [69]. Enantio-pure gelators have enhanced our understanding of the gelation process by virtue of their ability to create helical supramolecular assemblies with a single handedness. Upon gelation, these helical assemblies are typically characterized using CD spectroscopy [69a,b] coupled with other microscopic techniques that help visualize fiber morphology [47, 69a]. In the solution state, chiral molecules generally exhibit very weak CD signals. Upon gelation of enantio-pure or enantio-enriched systems, significantly enhanced CD effects are commonly observed as a result of helical structure formation.

Typically, racemic mixtures of chiral gelators either do not form gels or they form unstable ones that degenerate easily into precipitates or bulk-separated crystals [69a, 70]. However, there have been some interesting exceptions in which a racemate produces stronger gels than their enantio-pure counterparts [70, 71].

The gelation of 12-hydroxyoctadecanoic acid (or 12-hydroxystearic acid) 16 has been studied as a model system based upon its structural simplicity. Tachibana, T. et al. initially investigated the gelation abilities of (R)-16 (d-16) as compared to its racemic mixture (dl-16) (Figure 1.14) [72]. The gels of enantio-pure 16 in CCl4 exhibited CD maxima at 350 nm. Because this LMOG possesses no chromophores which absorb in this region, the origin of this band was hypothesized to be from preferential reflection of circularly polarized light of one sense by the gel. Interestingly, this effect is solvent dependent; the CD band shifted to 480 nm in benzene. Also, the racemic mixture, dl-16, did not form a gel at comparable concentrations.

Figure 1.14 CD spectra of enantiomerically pure 16 in CCl4 gels: 25.7 mmol L−1 for the l-acid; 35.7 mmol L−1 for the d-acid.

Reprinted with permission from Ref. [72]. Copyright 1979 Nature Publishing Group.

Recent work by Grahame et al. has demonstrated the relationship between the gelation ability of 16 and its enantio-purity in mineral oil [73]. Thus, the critical gelator concentration (CGC) of enantio-pure 16 was less than 1.0 wt%, while racemic dl-16 required ∼ 2 wt%. The morphologies of the crystalline objects in SAFINs were drastically different as well. The gel of enantio-pure d-16 produced long, twisted fibers (Figure 1.15a), while the racemic mixture exhibited platelet crystallites (Figure 1.15b). When the ratio of d:l content in 16 was systematically varied, the FT-IR spectra of the resultant gels in mineral oil could be interpreted according to two different modes of crystallization. The analyses focused on the hydroxyl and carbonyl stretching regions. Fitting the area of hydroxyl HB peaks to the Avrami model [74] indicated (i) platelet-like crystals and sporadic nucleation (or spherulitic crystals and instantaneous crystallization) at d:l ratios below 80 : 20 and (ii) fiber-like crystal growth and sporadic nucleation at d:l ratios above 80 : 20. From analysis of the carbonyl stretching region, it was found that equal amounts of cyclic and acyclic dimers, formed between carboxylic acids, were present at d:l ratios below 80 : 20. At d:l ratios higher than 80 : 20, significantly more cyclic dimers were present.

Based on this experimental characterization, the authors postulated that hydroxyl groups are positioned on opposite sides of the cyclic dimers in gels of optically pure 16 (Figure 1.15c). Because of this alignment, HB along the transverse axis can promote longitudinal growth leading to fibrils. In contrast, single, in-plane acyclic dimers are likely to form in the gels of racemic 16, which favor platelet growth rather than longitudinal growth along the transverse axis (Figure 1.15d).

The exciton-coupled CD enhancement of choromophoric chiral gelators can be used to study the development of fiber formation and, more importantly, molecular packing within the fibers. An example is the recent chiro-optical studies on gelation by the dicarbamate derivatives of (3S,4S) and (3R,4R)-3,4-dihydroxypyrrolidines (Figure 1.16a) [75]. Compound (S,S)-18 was a more efficient gelator than (S,S)-17; the CGC of (S,S)-18 in cyclohexane was found to be ∼1 mg mL−1. Gels of enantio-pure (R,R)-18 and (S,S)-18 in cyclohexane exhibited CD spectra that were almost perfect mirror images of each other above 250 nm. An AFM study on xerogels (R,R)-18 and (S,S)-18 revealed the presence of left-handed and right-handed helices, respectively. In this system, racemic 18 also formed organogels in cyclohexane. However, their Tg (gel–sol transition temperatures) were lower than that of gels employing enantio-pure gelators (Figure 1.16b). The CD spectra of (S,S)-18 in cyclohexane exhibited an enhanced signal as the temperature was lowered (Figure 1.16c) as a result of helical fiber formation. The CD spectra alone are insufficient to provide detailed molecular packing information, however. By combining crystallographic data from structural analogs of (S,S)-18 with Merck Molecular Force Field (MMFF) calculations, it was possible to postulate a molecular packing mode for (S,S)-18 in the fibers (Figure 1.16e) [75]. A calculated CD spectrum, based upon a hexamer model using the DeVoe method [76] (Figure 1.16d), was in reasonably good agreement with the experimental CD spectrum.

Figure 1.16 (a) Molecular structures of dicarbamate derivatives of 3,4-dihydroxy pyrrolidine. (b) Tg values vs enantiomeric excess of gels of 18 in cyclohexane (overall concentration 6.5 mg mL−1). (c) CD spectra of (S,S)-18 in cyclohexane (2.5 mg mL−1) at different temperatures. (d) Calculated CD spectrum for the gel of (S,S)-18 using the DeVoe method on a hexamer aggregate. (e) MMFF-optimized structures for the 24-mer of (S,S)-18.

Reprinted with permission from Ref. [75c]. Copyright 2011 Wiley.

Cholesterol [77] and sugar moieties [78] have been popular groups used to render chirality in LMOGs. For example, sugar-containing terphenyl gelator 19 (Figure 1.17a) self-assembled into helical ribbons upon gelating a cooled H2O/dioxane mixture [78g]. As shown in Figure 1.17b, 19 in H2O/dioxane at 60 °C exhibited no discernible CD signal (indicative of a molecularly dissolved state). When the solution/sol was cooled, a strong exciton-coupled CD signal was observed. A noteworthy aspect of this system is that the signs of CD signals were reversed when the cooling rate was changed. The authors ascribed this phenomenon to the formation of two possible molecular packing modes: a metastable kinetically-driven molecular arrangement and a thermodynamically stable one. Fast cooling from a hot solution/sol produced ribbons with right-handedness (kinetically controlled), while slow cooling from a hot solution/sol produced ribbons with the opposite handedness (thermodynamically controlled). Electron micrographs of the xerogels supported the hypotheses (Figure 1.17c for slow-cooled and Figure 1.17d for fast-cooled) in which helical ribbons showed opposite handedness.

Figure 1.17 (a) Sugar-appended terphenyl gelator 19. (b) CD spectra of a solution/sol of 2 mg mL−119 in H2O/1,4-dioxane (40/60 v/v) at 60 °C (), the fast-cooled gel state (•), and the slow-cooled gel state () at 20 °C. SEM micrograph of the slow-cooled (c) and fast-cooled (d) gel of 5 mg mL−119 in 40/60 (v/v) H2O/1,4-dioxane.

Reprinted with permission from Ref. [78g]. Copyright 2010 American Chemical Society.

The shape of the CD spectrum changed with concentration (Figure 1.18b), exhibiting two transitions: (i) a Cotton effect with zero crossing at 440 nm below 3 × 10−5 M and (ii) a zero crossing at the absorption maximum (400 nm) above 3 × 10−5 M where a true exciton-coupled CD spectrum is observed. Based upon additional data from AFM (Figure 1.18c), this unusual phenomenon was interpreted to arise from two hierarchical supramolecular assemblies that involve the formation of left-handed chiral aggregates (in the low concentration regime) and secondary assembly to coiled-coil ropes (in the high concentration regime).

In some systems, a small amount of chiral dopant can be added to an achiral gelator to induce chirality through the so-called “sergeant-and-soldiers” effect. This effect was first discovered in poly(alkyl isocyanates) where monomeric units are covalently bonded [80], and was later applied to organogel systems where the building blocks are connected through intermolecular interactions [81].

As an example, the addition of only 0.01 mol% of chiral R-23 or S-23 to achiral 22 (Figure 1.19a) induced a remarkable Cotton effect by forming helical columnar structures; R-23 or S-23, alone at the same concentration, exhibited a very weak Cotton effect [81c]. Similar chiral amplification effects were also observed from the co-assembly of OPV-based [81a] or pyrene-based [81e] achiral and chiral gelators (Figure 1.19b,c, respectively).

Figure 1.19 (a) Molecular structures of tris(phenylisoxazolyl)benzene-based, (Reproduced from Ref. [81c] with permission of The Royal Society of Chemistry. http://dx.doi.org/10.1039/B715871H.) (b) OPV-based,(Reprinted with permission from Ref. [81a]. Copyright 2006 Wiley.) and (c) pyrene-based chiral and achiral gelators for induced CD.

(Reprinted with permission from Ref. [81e]. Copyright 2010 American Chemical Society.)

Most sergeant-and-soldiers systems have structurally similar chiral dopant and achiral gelators. If the two components are structurally dissimilar, they will usually remain segregated in the fibers, and no co-assembly will be observed. However, Hong et al. have demonstrated that the sergeant-and-soldiers effect can also be achieved from chiral and achiral molecules of very different structures [81d].

An achiral molecule containing an aromatic ring and two alkyl amides (28) and chiral molecules containing two d- or l-alanine residues (29 or 30, respectively) (Figure 1.20a) formed gels in toluene [81d]. Xerogels from 28 in toluene formed both left- and right-handed helical ribbons. However, no helical structures were observed from the xerogels of 28 and 29. The addition of 1% of chiral 29 or 30 to achiral 28 induced enantio-pure helices with mirror image Cotton effects (characterized from xerogels), while xerogels of 29 and 30 showed CD spectra corresponding to the intrinsic chirality of the gelators (as opposed to a helical structure) (Figure 1.20b). The helical ribbons with opposite handedness for xerogels of 28 : 29 (99 : 1) and 28 : 30 (99 : 1) (Figure 1.20c,d) were consistent with the CD results.

Figure 1.20 (a) Structures of achiral gelator 28 and chiral dopants (29 and 30). (b) CD spectra of 28 (—), 29 (), 30 (Δ), 28 : 29 99 : 1 () and 28 : 30 99 : 1 (); UV–vis absorption spectrum of 28 : 29 99 : 1 (−−-) and 28 (—) in its xerogel phase. SEM images of xerogels: (c) 99 : 1 28 : 29, M helices, and (d) 99 : 1 28 : 30, P helices.

Reprinted with permission from Ref. [81d]. Copyright 2008 Wiley.

The examples described thus far include only achiral liquids (solvents) gelled by chiral gelators. If an enantio-pure liquid is employed, specific diastereomeric liquid-gelator interactions can be expected. Such an interaction may (or may not) influence SAFIN formation. That possibility was investigated by Mukkamala et al. using a chiral LMOG which incorporates an aromatic (A), a linker (L), and a steroidal (S) group (“ALS”), 31 [43c]. Figure 1.21 shows Tg as a function of gelator concentration. As the gelator concentration was increased, Tg increased rapidly followed by a plateau region for all the liquids listed in the figure. Notably, Tg values for the gels in DL-, D-, or L-2-octanol were indistinguishable within experimental error. This result indicates that enantiopurity of the liquid had no apparent influence on the SAFIN formation of 31. On the other hand, liquid polarity affected Tg significantly: higher Tg values were found for the gel in dodecane than in either alcohol. Currently, there is an insufficient number of examples of this sort to form a conclusion about the generality of liquid-induced chiral induction in SAFINs of achiral LMOGs.

Figure 1.21 Gelator concentration versus gelation temperature for 31 in various liquids.

Reprinted with permission from Ref. [43c]. Copyright 1996 American Chemical Society.

1.2.3 Liquids and their Influence on Gelator Networks

Attempts to correlate the properties of molecular gels with the nature of their liquid components have been only partially successful. The liquid intervenes at the initial stages of SAFIN development, and thus, correlations between the final characteristics of a gel, such as its stability to heat and shear, and the bulk or even molecular properties of a liquid should not be expected in many cases. In addition, the rate at which a sol is cooled to its gel phase can affect the ultimate gel properties profoundly; both of these effects have been shown in several cases to be linked. In all but a very few cases [52b, 82], the liquid components of (at least) organogels appear to be excluded from SAFIN networks; the liquid is in a “supporting role” after the gel is formed. That supporting role can be probed more directly in terms of the interactions between a liquid component and a SAFIN structure when the gels are thixotropic and their rheological properties are compared with the molecular and bulk properties of the liquid. Unfortunately, few studies of this sort have been conducted for LMOG-based gels [83]. Learning how the liquid and the temperature affect the gelation process is as important to understanding molecular gels as is determining the basic design criteria for a gelator. Unfortunately, and as is the case with molecular design of gelators, a satisfactory level of understanding cannot be claimed to date for how temperature or liquid properties affect gelation.

Although several early attempts to derive empirical correlations between liquid composition and gel properties did provide some insights, they were useful with a limited range of gelator structures. In one example, gels containing about 1.5 wt% of cholesteryl 4-(2-anthryloxy)butanoate (CAB) and n-hexadecane, 1-octanol, or their mixtures as the liquid component were investigated as the sols were cooled at either about 8 (fast) or 0.5 (slow) °C/min to room temperature [84]. The results of spectral and thermal measurements of the SAFINs in gels with different liquid compositions led to the conclusion that bulk solvent properties, especially polarity, are more important than specific solvent–CAB intermolecular interactions in determining the nature of the gel phases formed, but even the dependence on bulk polarity is complex. When l-octanol/n-hexadecane compositions in the range 80/20 to 85/15 (wt/wt) were employed, two different gel types (with sol → gel transition temperatures of ∼ 40 and 62 °C and FL emission maxima at 421–422 and 427 nm in the low and high 1-octanol regimes, respectively) could be identified depending upon the protocol for cooling the precursor isotropic phases. At l-octanol/n-hexadecane compositions above or below these wt/wt ratios, only one of the two SAFIN types was produced, regardless of the cooling protocol used to effect the sol → gel transformation. In addition, sample-holding cells whose wall separations are smaller than the diameters of the colloidal (spherulitic) units in the gels inhibited gel formation. Similar observations of cooling rate-induced and liquid-induced polymorphism within the SAFINs of gels with 32, a bis-glutamine and aromatic core LMOG structure, have been reported as well [85]. In this system, DMSO or mixtures of DMSO and another liquid were employed. The extensive experimental evidence points to molecular packing schemes within the gel fibers, as shown in Figure 1.22.

Figure 1.22 Possible molecular packing modes of LMOG 32 in gels with DMSO/diphenyl ether (1 : 9, v/v, left) and DMSO (right) as the liquid.

Reprinted with permission from Ref. [85]. Copyright 2009 Wiley.

In another example, it was possible to modulate the concentration of 5α-cholestan-3β-yl N-(2-naphthyl)carbamate (CNC; see Section 1.4) in n-octane and the incubation temperatures of the sols to obtain SAFINs with different morphologies [15]. The sizes of the spherulites could be increased by increasing the incubation temperatures so that they were closer to the sol → gel transition temperatures, Tg (and the thermodynamic driving force for SAFIN formation was reduced) or by increasing the CNC concentration at constant incubation temperature. At very low gelator concentrations and high incubation temperatures, the morphology is changed completely, from spherulitic to rod-like (NB, lower left panel in Figure 1.23). Transformations from spherulitic to rod-like SAFINs have been observed in other organogel systems, with gelators with much simpler different structures, as well [4].

Figure 1.23 Polarized optical micrographs of 0.89, 1.46, and 1.94 wt% CNC/n-octane organogels (from left to right) prepared by incubating sols at (from top to bottom) 14.5, 32.2, and 36.3 °C after cooling them from well above their Tg. The scale bar, 100 µm, applies to all micrographs.

Reprinted with permission from Ref. [15]. Copyright 2005 American Chemical Society.

Even more dramatic changes in the microstructures of the aggregates were observed for the dipeptide LMOG, di-phenylalanine (L-Phe-L-Phe), in different toluene/ethanol mixtures [86]. The fibrillar network of the gels became micro flower-like crystallites as the ethanol content of the liquid increased (Figure 1.24) and the samples were no longer gels at > 40% ethanol.

Figure 1.24 Scanning electron micrographs of samples of L-Phe-L-Phe formed at different toluene/ethanol contents: (a) 100/0; (b) 90/10; (c,d) 75/25; (e) 60/40; (f) 30/70; and (g,h) 0/100.

Reprinted with permission from Ref. [86]. Copyright 2010 Wiley.

In addition, CD and FL have been used to investigate the effect of changing the relative volume fractions of toluene/CCl4 mixtures on the packing of naphthalimide moieties of peptide LMOG molecules (33) within their SAFINs [87]. One of the naphthalimide gelators is shown in Figure 1.25. The chirality of the packing of the 33 molecules can be altered by small structural changes to the LMOG as well. Clearly, the bulk properties of the liquid mixtures (as modulated by the volume fractions of toluene and CCl4) and the manner in which each liquid type interacts with the LMOG molecules as they aggregate in the sol phase upon cooling influence the eventual packing within the SAFINs.

Figure 1.25 Structure of 33 LMOG.

Reproduced from Ref. [87] with permission of The Royal Society of Chemistry.

In another approach, NMR measurements of solubilities in toluene of 4 LMOGs consisting of alkanes with α- and -amino acid groups of l-lysinelysine (Figure 1.26, 34–37) have been used in a van't Hoff analysis to calculate temperatures at which the LMOG