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Microscopic analysis of shape-shiftable oligo(ε-caprolactone) - based particles

Published online by Cambridge University Press:  18 October 2019

Fabian Friess ,
Christian Wischke  and
Andreas Lendlein
Fabian Friess
Affiliation:
Institute of Biomaterial Science and Berlin-Brandenburg Center for Regenerative Therapies, Helmholtz-Zentrum Geesthacht, Kantstr. 55, 14513 Teltow, Germany Institute of Chemistry, University of Potsdam, Germany
Christian Wischke
Affiliation:
Institute of Biomaterial Science and Berlin-Brandenburg Center for Regenerative Therapies, Helmholtz-Zentrum Geesthacht, Kantstr. 55, 14513 Teltow, Germany
Andreas Lendlein*
Affiliation:
Institute of Biomaterial Science and Berlin-Brandenburg Center for Regenerative Therapies, Helmholtz-Zentrum Geesthacht, Kantstr. 55, 14513 Teltow, Germany Institute of Chemistry, University of Potsdam, Germany
*
*Correspondence: [email protected]
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Abstract

Spherical particles are routinely monitored and described by hydrodynamic diameters determined, e.g., by light scattering techniques. Non-spherical particles such as prolate ellipsoids require alternative techniques to characterize particle size as well as particle shape. In this study, oligo(ε-caprolactone) (oCL) based micronetwork (MN) particles with a shape-shifting function based on their shape-memory capability were programmed from spherical to prolate ellipsoidal shape aided by incorporation and stretching in a water-soluble phantom matrix. By applying light microscopy with automated contour detection and aspect ratio analysis, differences in characteristic aspect ratio distributions of non-crosslinked microparticles (MPs) and crosslinked MNs were detected when the degrees of phantom elongation (30-290%) are increased. The thermally induced shape recovery of programmed MNs starts in the body rather than from the tips of ellipsoids, which may be explained based on local differences in micronetwork deformation. By this approach, fascinating intermediate particle shapes with round bodies and two opposite sharp tips can be obtained, which could be of interest, e.g., in valves or other technical devices, in which the tips allow to temporarily encage the switchable particle in the desired position.

Keywords

biomaterialparticulateshape memoryresponsive
Type
Articles
Information
MRS Advances , Volume 4 , Issue 59-60: International Materials Research Congress XXVIII , 2019 , pp. 3199 - 3206
Copyright
Copyright © Materials Research Society 2019 

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References

Wischke, C., Schossig, M., Lendlein, A., Shape-Memory Effect of Micro-/Nanoparticles from Thermoplastic Multiblock Copolymers, Small, 10 (2014) 83-87.CrossRefGoogle ScholarPubMed
Brosnan, S.M., Jackson, A.-M.S., Wang, Y., Ashby, V.S., Shape Memory Particles Capable of Controlled Geometric and Chemical Asymmetry made from Aliphatic Polyesters, Macromolecular Rapid Communications, 35 (2014) 1653-1660.CrossRefGoogle ScholarPubMed
Friess, F., Nochel, U., Lendlein, A., Wischke, C., Polymer Micronetworks with Shape-Memory as Future Platform to Explore Shape-Dependent Biological Effects, Adv Healthc Mater, 3 (2014) 1986-1990.CrossRefGoogle ScholarPubMed
Peterson, G.I., Dobrynin, A.V., Becker, M.L., Biodegradable Shape Memory Polymers in Medicine, Adv Healthc Mater, 6 (2017).CrossRefGoogle ScholarPubMed
Mathaes, R., Winter, G., Engert, J., Besheer, A., Application of different analytical methods for the characterization of non-spherical micro- and nanoparticles, Int J Pharmaceut, 453 (2013) 620-629.CrossRefGoogle ScholarPubMed
Caputo, F., Clogston, J., Calzolai, L., Rosslein, M., Prina-Mello, A., Measuring particle size distribution of nanoparticle enabled medicinal products, the joint view of EUNCL and NCI-NCL. A step by step approach combining orthogonal measurements with increasing complexity, J Control Release, 299 (2019) 31-43.CrossRefGoogle ScholarPubMed
Laborda, E., Molina, A., Batchelor-McAuley, C., Compton, R.G., Individual Detection and Characterization of Non-Electrocatalytic, Redox-Inactive Particles in Solution by using Electrochemistry, Chemelectrochem, 5 (2018) 410-417.CrossRefGoogle Scholar
Friess, F., Roch, T., Seifert, B., Lendlein, A., Wischke, C., Phagocytosis of spherical and ellipsoidal micronetwork colloids from crosslinked poly(ε-caprolactone), Int J Pharmaceut, 567 (2019) 118461.CrossRefGoogle Scholar
Matsuyama, T., Yamamoto, H., Particle shape and laser diffraction: A discussion of the particle shape problem, J Disper Sci Technol, 25 (2004) 409-416.CrossRefGoogle Scholar
Champion, J.A., Mitragotri, S., Role of target geometry in phagocytosis, P Natl Acad Sci USA, 103 (2006) 4930-4934.CrossRefGoogle ScholarPubMed