Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-05T04:54:54.919Z Has data issue: false hasContentIssue false
  • English
  • Français

Mathematical Model and microCT-Based Kinematic Analysis of the Rostrum Mouthparts in Cyrtotrachelus buqueti Guer (Coleoptera: Curculionidae)

Published online by Cambridge University Press:  17 May 2021

Longhai Li ,
Ce Guo ,
Shun Xu ,
Huafeng Guo ,
Ping Yu ,
Lei Liu  and
Jing Tian
Longhai Li
Affiliation:
School of Mechanical and Electrical Engineering, Xuzhou University of Technology, Xuzhou221018, China
Ce Guo*
Affiliation:
Institute of Bio-inspired Structure and Surface Engineering, College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing210016, China
Shun Xu
Affiliation:
Key Laboratory of Bionic Engineering (Ministry of Education, China), College of Biological and Agricultural Engineering, Jilin University, Changchun130025, China
Huafeng Guo
Affiliation:
School of Mechanical and Electrical Engineering, Xuzhou University of Technology, Xuzhou221018, China
Ping Yu
Affiliation:
School of Mechanical and Electrical Engineering, Xuzhou University of Technology, Xuzhou221018, China
Lei Liu
Affiliation:
School of Mechanical and Electrical Engineering, Xuzhou University of Technology, Xuzhou221018, China
Jing Tian
Affiliation:
School of Mechanical and Electrical Engineering, Xuzhou University of Technology, Xuzhou221018, China
*
*Author for correspondence: Ce Guo, E-mail: [email protected]
Get access

Abstract

To uncover the chewing mechanism of Cyrtotrachelus buqueti Guer, a mathematical model was created and a kinematic analysis of its rostrum mouthparts was conducted for, to our knowledge, the first time. To reduce noise and improve the quality of scanning electron micrographs of the weevil's mouthparts, nonlocal means and integral nonlocal means algorithms were proposed. Additionally, based on a comparison and analysis of five classical edge detection algorithms, a multiscale edge detection algorithm based on the B-spline wavelet was used to obtain the boundaries of structural features. The least squares method was used to analyze the data of the mouthparts to fit the mathematical model and fitted curves were obtained using Gaussian equations. The results show that curvature and concave–convex variations of the weevil's mouthparts can highlight fluctuations in friction effects when it chews bamboo shoots, which is helpful in preventing debris from bamboo shoots or other debris from sticking to the mouthpart surfaces. Moreover, this paper highlights the utility of micro-computed tomography (microCT) for three-dimensional (3D) reconstruction and a flowchart is suggested. The reconstructed slices were 9.0 μm thick and an accurate 3D rendered model was obtained from a series of microCT slices. Finally, a real model of the rostrum mouthparts was analyzed using finite-element analysis. The results provide a biological template for the design of a novel bionic drilling mechanism.

Keywords

finite-element analysismathematical modelmicro-computed tomographyrostrum mouthpartsweevil
Type
Biological Applications
Information
Microscopy and Microanalysis , Volume 27 , Issue 4 , August 2021 , pp. 860 - 877
Check for updates
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Basu, D & Kunte, K (2020). Tools of the trade: MicroCT reveals native structure and functional morphology of organs that drive caterpillar–ant interactions. Sci Rep-UK 10, 10593. doi:10.1038/s41598-020-67486-5.CrossRefGoogle ScholarPubMed
Buades, A, Coll, B & Morel, J (2005). A non-local algorithm for image denoising. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2, 60–65. doi:10.1109/CVPR.CrossRefGoogle Scholar
Chen, F, Wang, W & Wang, X (2005). Hazard and prevention of Cyrtotrachelus buqueti. Plant Prot 31, 89–90 (in Chinese).Google Scholar
Chen, Z, Qi, H & Wu, S (2016). Few-view CT reconstruction via a novel non-local means algorithm. Phys Med 32, 1276–1283.CrossRefGoogle Scholar
Cheng, C, Cheng, F & Huang, S (2015). Integral non-local means algorithm for image noise suppression. Electron Lett 51, 1494–1495.CrossRefGoogle Scholar
Dai, Z & Yang, Z (2010). Macro-/micro-structures of elytra, mechanical properties of the biomaterial and the coupling strength between elytra in beetles. J Bionic Eng 7, 6–12.CrossRefGoogle Scholar
Dickinson, M, Farley, C & Full, R (2000). How animals move: An integrative view. Science 288, 100–106.CrossRefGoogle Scholar
Gao, H, Li, Y, Tong, J & Sun, J (2011). Microstructure and nanoindentation properties of mouthparts of oriental mole cricket. Trans Chinese Soc Agric Mach 42, 224–227 (in Chinese).Google Scholar
Gao, Y, Ellery, A, Jaddou, M, Vincent, J & Eckersley, S (2005). A biologically-inspired penetration/drilling/ sampling system for in situ astrobiological studies. In Conference of Towards Autonomous Robotic Systems, London, UK.Google Scholar
Gao, Y, Ellery, A, Jaddou, M, Vincent, J & Eckersley, S (2007 a). Planetary micro-penetrator concept study with biomimetric drill and sampler design. IEEE Trans Aerosp Electron Syst 43, 875–885.Google Scholar
Gao, Y, Ellery, A & Sweeting, M (2007 b). Bioinspired drill for planetary sampling: Literature survey, conceptual design, and feasibility study. J Spacecr Rockets 44, 703–709.CrossRefGoogle Scholar
Geoffrey, M, Nicole, T, Dula, P & Lindsey, K (2020). Interpreting morphological adaptations associated with viviparity in the tsetse fly Glossina morsitans (Westwood) by three-dimensional analysis. Insects 11, 651. doi:10.3390/insects11100651.Google Scholar
Hörnschemeyer, T, Bond, J & Young, P (2013). Analysis of the functional morphology of mouthparts of the beetle Priacma serrata, and a discussion of possible food sources. J Insect Sci 13, 1–14.CrossRefGoogle Scholar
Joyita, D, Leahy, R & Li, Q (2013). Non-local means denoising of dynamic PET images. PLoS ONE 8, e81390.Google Scholar
Kunkel, J, Rosa, M & Bahadur, A (2017). 3D-Xray-tomography of American lobster shell-structure. An overview. Fish Res 186, 372–382.CrossRefGoogle Scholar
Li, L, Guo, C & Li, X (2017 a). Microstructure and mechanical properties of rostrum in Cyrtotrachelus longimanus (Coleoptera: Curculionidae). Anim Cells Syst 2017, 199–206.CrossRefGoogle Scholar
Li, L, Guo, C & Xu, S (2017 b). Morphology and nanoindentation properties of mouthparts in Cyrtotrachelus longimanus (Coleoptera: Curculionidae). Microsc Res Tech 80, 704–711.CrossRefGoogle Scholar
Li, L, Guo, C & Xu, S (2019). Nanoindentation properties and finite element analysis of the rostrum of Cyrtotrachelus buqueti Guer (Coleoptera: Curculionidae). Microsc Microanal 25, 1–12.Google Scholar
Li, T, Xu, X & Zhou, Z (2000). A preliminary study on the biological characteristics of Cyrtotrachelus duqueti Gu'erin-M'eneville. J Sichuan Forest Sci Technol 3, 49–51 (in Chinese).Google Scholar
Meyers, M, Lin, A, Lin, Y, Lin, E & Georgalis, S (2008). The cutting edge: Sharp biological materials. JOM 60, 19–24.CrossRefGoogle Scholar
Oka, K, Aoyagi, S, Arai, Y, Isono, Y, Hashiguchi, G & Fujita, H (2002). Fabrication of a micro needle for a trace blood test. Sens Actuat A Phys 97, 478–485.CrossRefGoogle Scholar
Ruslan, H, David, H & Petr, S (2020). Innovative high-resolution microCT imaging of animal brain vasculature. Brain Struct Funct. doi:10.1007/s00429-020-02158-8.Google Scholar
Tong, J & Wu, N (2006). Mathematical models and analysis of profiles of the clypeus surface of dung beetle Copris ochus Motschulsky. Trans Chinese Soc Agric Mach 37, 113–116. (In Chinese)Google Scholar
Tong, J, Xu, S, Chen, D & Li, M (2017). Design of a bionic blade for vegetable chopper. J Bionic Eng 14, 163–171.CrossRefGoogle Scholar
Tu, B, Zhang, X, Wang, J, Zhang, G & Ou, X (2018). Spectral–spatial hyperspectral image classification via non-local means filtering feature extraction. Sens Imaging 19, 1–16.CrossRefGoogle Scholar
Vincent, J & Wegst, U (2004). Design and mechanical properties of insect cuticle. Arthropod Struct Dev 33, 187–199.CrossRefGoogle ScholarPubMed
Wang, S, Yang, Y & Liu, C (2009). Morphological anatomy of reproductive system of Cyrtotrachelus buqueti Guer. Sichuan J Zool 28, 79–81 (in Chinese).Google Scholar
Wang, W, Chen, F & Wang, X (2005). Reproductive behavior of Cyrtotrachelus buqueti. Sichuan J Zool 24, 540–541 (in Chinese).Google Scholar
Wang, Z, Ji, A, Endlein, T, Li, W, Samuel, D & Dai, Z (2014). Locomotor kinematics of the gecko (Tokay gecko) upon challenge with various inclines. Chin Sci Bull 59, 4568–4577.CrossRefGoogle Scholar
Xian, X (1995). Reinforced Resin Composites and Microstructure of Bamboo/Epoxy. Beijing, China: Science Press (in Chinese).Google Scholar
Yehonatan, B, Raquel, M, Maria, P, Vlad, B, Ron, S & Steve, W (2019). Response of the tooth-periodontal ligament-bone complex to load: A microCT study of the minipig molar. J Struct Biol 205, 155–162.Google Scholar
Zhu, L, Guan, H & Wu, C (2016). Three-dimensional numerical simulation of a bird model in unsteady flight. Comput Mech 58, 1–11.Google Scholar

Li et al. supplementary material

Li et al. supplementary material

Download Li et al. supplementary material(Video)
Video 80.9 MB