Suppr超能文献

古生物启发利用化石记录来推动创新。

Palaeo-bioinspiration draws on the fossil record to advance innovation.

作者信息

Aish Annabelle, Broeckhoven Chris, Buffa Valentin, Challands Tom, Du Plessis Anton, Fletcher Tom, Frey Eberhard, Garrouste Romain, Houssaye Alexandra, Lecointre Guillaume, Perricone Valentina, Petit Luce-Marie, Shyam Vikram, Speck Thomas, Habib Michael

机构信息

Bioinspire-Museum, Direction Générale Déléguée à la Recherche, l'Expertise, la Valorisation et l'Enseignement (DGD REVE), Muséum National d'Histoire Naturelle, 57 Rue Cuvier, CP 17, 75005, Paris, France.

Advanced Concepts Team, European Space Agency, Keplerlaan 1, 2201 AZ, Noordwijk, The Netherlands.

出版信息

Commun Biol. 2025 Jun 2;8(1):706. doi: 10.1038/s42003-025-08043-6.

Abstract

Bioinspiration is an approach to innovation based on the observation of biological systems, of which only 0.1% remain since life began 3.7 billion years ago. Expanding the scope of bioinspiration to the fossil record greatly increases the diversity of potential biological "muses" and provides a means to understand the form, function and origins of current living systems. This extended approach, here termed "palaeo-bioinspiration", has already been applied to the fields of hydrodynamics, aeromechanics, actuators, protective technology and building construction. To reach its full potential, palaeo-bioinspiration has to overcome the misconception that fossils are "failures" or "primitive", and temper the widespread belief that extant biodiversity is inherently "optimised". By encouraging interdisciplinarity, investing in technical infrastructure and collaborating with both Natural Science institutions and industry, palaeo-bioinspiration could become a powerful asset within the bioinspiration domain.

摘要

生物灵感是一种基于对生物系统观察的创新方法,自37亿年前生命起源以来,现存的生物系统仅占0.1%。将生物灵感的范围扩展到化石记录,极大地增加了潜在生物“灵感之源”的多样性,并提供了一种理解当前生物系统的形态、功能和起源的方法。这种扩展方法,这里称为“古生物灵感”,已经应用于流体动力学、空气动力学、致动器、防护技术和建筑施工等领域。为了充分发挥其潜力,古生物灵感必须克服认为化石是“失败者”或“原始的”这种误解,并纠正普遍认为现存生物多样性本质上是“优化的”这一观念。通过鼓励跨学科研究、投资技术基础设施以及与自然科学机构和行业合作,古生物灵感可以成为生物灵感领域的一项强大资产。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f3e/12130348/0ce4a128e5ca/42003_2025_8043_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验