Biomimetics and bioinspired surfaces: from nature to theory and applications
Editors: Prof. Rhainer Guillermo Ferreira, Universidade Federal do Triangulo Mineiro, Brazil Dr. Thies Büscher, Kiel University, Germany Prof. Manuela Rebora, University of Perugia, Italy Prof. Poramate Manoonpong, University of Southern Denmark, Denmark Prof. Zhendong Dai, Nanjing University Aeronautics and Astronautics, China Prof. Stanislav Gorb, Kiel University, Germany
The surfaces of living organisms are in constant contact with the environment. Therefore, they face and have to adapt to multiple challenges coming from external and internal stimuli. Hence, these surfaces need to be multifunctional and adaptable. These multiple functions have resulted from various evolutionary pressures and involve complex interactions between the surface structures and the environment at the nano-, micro-, and macroscales. In addition, these functions also depend on specific material properties of the surfaces. In this context, biomimicry emerges as a promising approach offering a rich source of inspiration from nature. Through the observation and analysis of multiscale structures and mechanisms present in biological systems, one can develop innovative and technologically advanced solutions, which can be applied in daily life. Bioinspired nanotechnology plays a key role in this regard, through the exploitation of nanoscale properties and processes to develop highly efficient surfaces and interfaces at different scales. This thematic issue aims to bring together the most recent advances in the field of biomimetics and bioinspired surfaces. We invite researchers and scientists in the field to submit their work related to this fascinating topic. Original full research, review, or perspective articles that explore concepts inspired by biological systems will be considered for publication in this issue. Topics spanning from theory and fundamental principles to experimental studies demonstrating practical applications and technological advances in the field are welcome.Submission deadline: June 30, 2024*Please contact the guest editors directly if you still want to submit your article*
Elena V. Gorb and
Stanislav N. Gorb
Beilstein J. Nanotechnol. 2024, 15, 385–395, doi:10.3762/bjnano.15.35
Figure 1:
Scanning electron microscopy (SEM) micrographs of waxy plant surfaces in the young stem of Acer neg ...
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Figure 2:
SEM micrographs of attachment organs of a Chrysolina fastuos a male beetle. (a) Tarsus with pretarsu...
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Figure 3:
SEM micrographs of the ventral view of the first (basal) proximal tarsomere in Chrysolina fastuos a ...
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Figure 4:
SEM micrographs of the ventral view of discoidal tips in exemplary mushroom-shaped setae of the fir...
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Figure 5:
Exemplary force–time curves obtained from one beetle individual in a set of tests on the following ...
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Figure 6:
Maximum traction force F max (a), first peak of the traction force F peak1 (b), and time T Fmax needed...
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Figure 7:
Maximum traction force F max (a, b), first peak of the traction force F peak1 (c), and time T Fmax nee...
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Julian Thomas,
Stanislav N. Gorb and
Thies H. Büscher
Beilstein J. Nanotechnol. 2024, 15, 612–630, doi:10.3762/bjnano.15.52
Figure 1:
Medauroidea extradentata and its tarsal structures. Example images of the animals used in the exper...
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Figure 2:
Sections of the arolium visualized with different imaging techniques. The internal ultrastructure o...
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Figure 3:
Arolium material structure visualised using different techniques. Detailed images of the adhesive p...
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Figure 4:
Morphology of the tarsomere. The internal ultrastructure of the tarsomere was visualized using four...
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Figure 5:
The euplantula sections. Detailed images of the attachment pad of the euplantula. The different met...
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Figure 6:
The connective pad between neighbouring euplantulae. Detailed images of the connective pad. The dif...
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Figure 7:
Detailed images of additional morphological observations. The different methods highlight the morph...
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Figure 8:
Scheme of the arolium (left) and euplantula (right) of M. extradentata . Schematic representation of...
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Guillermo J. Amador,
Brett Klaassen van Oorschot,
Caiying Liao,
Jianing Wu and
Da Wei
Beilstein J. Nanotechnol. 2024, 15, 664–677, doi:10.3762/bjnano.15.55
Figure 1:
Scaling of hair across body size. (A) Scaling of hair mass m h versus body mass m b . The dots represe...
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Figure 2:
Protection through hairs. Schematics showing (A) an array of hairs providing thermal insulation, (B...
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Figure 3:
Locomotion enhanced by hairs. Schematics showing (A) an array of hairs (or setae and spatulae) on t...
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Figure 4:
Sensing via hairs. Schematics showing (A) whiskers on cats sensing objects through mechanical inter...
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Qinsong Zhu,
Chen Zhang,
Fuhang Yu and
Yan Xu
Beilstein J. Nanotechnol. 2024, 15, 833–853, doi:10.3762/bjnano.15.70
Figure 1:
Microtextures with different sectional shapes: (a) triangles; (b) trapezoids, and (c) ellipses. The...
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Figure 2:
(a) Axial flow compressor [27] and (b) schematic of the impeller with 45 blades. Figure 2(a) was reproduced fro...
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Figure 3:
Flow chart of the simplified numerical simulation method. Images used courtesy of ANSYS, Inc.
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Figure 5:
Meshed model of (a) a smooth blade surface and (b) a microtextured surface with 0.005 mm height of ...
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Figure 6:
Characteristic parameters of (a) grooves and (b) ribs.
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Figure 7:
The manufacturing procedure of the microtextured blade.
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Figure 8:
Experimental platform and schematic diagram. (a) Wind tunnel test platform. (b) Three-hole probe me...
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Figure 9:
Single blade and simulation results. (a) Slices of the calculation domain. (b) Simulation results o...
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Figure 10:
Simulation values of attack angle at (a) span = 0.25, (b) span = 0.50, and (c) span = 0.75. x is th...
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Figure 11:
The distribution of (a) k and (b) the flow field on the blade surface. Figure 11b used courtesy of ANSYS, Inc....
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Figure 12:
DRR results of four microtextures with different sizes. The formula for calculating DRR is shown in...
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Figure 13:
Comparison of coefficient of friction (C f ) on the surface of (a) rectangle and triangle 1, (b) tria...
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Figure 14:
(a) Static pressure and (b) turbulent kinetic energy distribution of blade surfaces with different ...
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Figure 15:
Influence of (a) height, (b) width, and (c) spacing of microtextures on drag reduction performance.
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Figure 16:
The effect of microtexture on (a) turbulent kinetic energy and (b) eddy viscosity ratio around blad...
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Figure 17:
The effect of microtexture on (a) turbulent vortex and (b) overall shear stress distribution. Figure 17a used...
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Figure 19:
Microscopy observation of (a) microribs surface morphology and (b) blade surface morphology.
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Figure 20:
Machining error analysis diagram of (a) the microtexture and (b) plane processing.
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Figure 21:
Distribution of LC TP of the single flow channel at angles of attack of (a) 52.8°, (b) 54.8°, and (c...
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Figure 22:
Distribution of Ma in the outlet of the single flow channel at angles of attack of (a) 52.8°, (b) 5...
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Figure 23:
Comparison between the simulation value and the experimental value of ηξ .
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Marie Grote,
Stanislav N. Gorb and
Thies H. Büscher
Beilstein J. Nanotechnol. 2024, 15, 867–883, doi:10.3762/bjnano.15.72
Figure 1:
Focal species. (A) Adult female of Sungaya aeta . (B–D) Overviews of the tarsal morphology obtained ...
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Figure 2:
Attachment tests using a tilting platform. (A) Schematic of the experimental setup. (B) Comparison ...
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Figure 3:
Attachment force measurements. (A, B) Comparisons of attachment forces of old and young adult femal...
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Figure 4:
Morphological changes of tarsi during ageing. (A–D) Full tarsi, ventral views. (A) Young adult fema...
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Figure 5:
Ventral views of attachment pads obtained from WFM. (A–D) Subadult female. (E–H) Young adult female...
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Figure 6:
Maximum intensity projections of tarsi in different age groups obtained by CLSM. (A) Tarsus of suba...
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Figure 7:
SEM micrographs of ageing effects on the tarsi. (A) Pretarsus of old female, ventral view. (B) Inta...
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Figure 8:
Combination of visualizations of the same attachment organs with different microscopy techniques. A...
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Beilstein J. Nanotechnol. 2024, 15, 965–976, doi:10.3762/bjnano.15.79
Figure 1:
Chronological development of different gecko adhesive manufacturing processes that were developed b...
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Figure 2:
Compilation showing the assembly and integration of shape memory polymer dry adhesives with embedde...
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Figure 3:
(A) 3D-printed grid of high-density polyethylene (HDPE) on top of a thermoplastic elastomer base. W...
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Figure 4:
Geckofluidics process using similar crack-tolerant microstructures as gecko adhesives, but to defin...
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Figure 5:
Laplace barriers within geckofluidic channels have directed room-temperature liquid metals (eutecti...
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Figure 6:
Non-vacuum jamming based stiffness-tunable prototypes developed for use in space applications. Figure 6a–d w...
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Figure 7:
(a) Composite images of one and two-layer SETEX tapes prior to adhesion (top two images) and, at th...
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Figure 8:
(a) i) Schematic of two gecko adhesives in their default non-adhesive state, ii) simplified modelin...
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Mattia Bartoli,
Francesca Cardano,
Erik Piatti,
Stefania Lettieri,
Andrea Fin and
Alberto Tagliaferro
Beilstein J. Nanotechnol. 2024, 15, 1041–1053, doi:10.3762/bjnano.15.85
Figure 1:
Relation between nanostructured carbon materials and the tuned properties in biological implants.
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Figure 2:
Summary of carbon allotropes: (a) NDs, (b) graphene-related materials, and (c) CNTs. Figure 2 was adapted f...
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Figure 3:
Summary of the immune system response to implanted biomaterials. Figure 3 was reproduced from [86] (© 2019 E. M...
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Figure 4:
Biofilm formation on an implanted biomaterial due to the presence of planktonic bacteria cells. Figure 4 wa...
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