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Natural Iron Oxide Nanoparticles Produced by Aquatic Magnetotactic Bacteria as Ideal Nanozymes for Nano-Guided Biosensing Platforms—A Systematic Review
No full textInternational audienceIn response to the ongoing challenges associated with natural enzymes, their high production costs, low stability and limited functionality; nanozymes have rapidly emerged as versatile alternative. Such nanocatalysts, based on nanomaterials and nanostructures, offer remarkable tunability of physicochemical properties and excellent durability, and adapt themselves effectively to the requirements of modern biotechnological applications. This review article aims to provide a comprehensive overview of recent advances in the use of naturally occurring iron oxide nanoparticles, produced by magnetotactic bacteria, and to highlight their emerging role as key elements in the development of the new generation of nano-guided biosensors. It provides a comprehensive and systematic analysis of publications in the Web of Science database between 2022 and August 2025, conducted in accordance with PRISMA guidelines. The aim was to assess the current state of the art and identify knowledge gaps in the exploration and application of magnetotactic bacteria as natural and sustainable sources in the design of next-generation biosensors. The natural nanoparticles, formed through biological processes, represent a unique and sustainable alternative to synthetic nanoparticles, offering naturally mimetic enzymatic activity, high biocompatibility, and exceptional stability. This approach opens up revolutionary perspectives in the field of biosensors, proposing a new class of functional materials, iron nanoparticles of biological origin, capable of fundamentally changing the performance, sustainability and reliability of future nanoenzymatic sensing platforms
Multiphysics optimization of additive manufacturing of hemp fiber reinforced polylactic acid composite honeycomb structures
No full textInternational audienceThis paper focuses on optimizing the additive manufacturing of a hemp/PolyLactic Acid composite honeycomb structure using the pellet-based 3D printing as material extrusion process. Based on the Diffusion, Coalescence, Crystallization (DCC) model recently introduced in the literature, this study proposes an optimization of the process parameters to maximize the compression properties of the printed bio-composite honeycomb structure. During 3D printing, the deposition of new strands tends to change the temperature in the previously printed strands. Using the thermal properties of PLA-hemp bio-composite and printing parameters, the Backward Differentiation Formula implicit method was used for solving the numerical simulation of the heat transfer during the printing of successive layers in order to calculate the temperature distribution and history. The heat transfer process was modeled by the transient heat conduction equation and the boundary conditions. At the end of simulations, the temperatures at the interface of the strands were used from probes positioned at each thermal contact and measuring the average temperature of the interface to calculate the DCC parameter. The mechanical performance of bio-composite PLA/hemp honeycomb structure was evaluated discussed using different machine parameters combinations as extrusion temperature, layer height, flow speed and platform temperature. The obtained results showed that minimizing the layer height while maximizing the extrusion temperature, the build platform temperature and the printing flow speed effectively enhances the compression properties of the structure. Experimental measurements of the axial compressive modulus and strength of the honeycomb structure validated these findings and highlighted the improved interlayer adhesion achieved by employing the best process parameters
“Technodiversity” for Analysing Sustainability Transitions perceived by Students in Engineering
No full textInternational audienceEngineers as the whole population need to integrate sustainability issues in their activities, thus, involving the need of dedicated training in engineering schools. The inclusion of these issues in engineering curriculum in the most appropriate teaching configurations is a work in progress and a stringent question for teachers and the institutions. One major difficulty is that there is no single path for achieving sustainability: how to teach sustainability to students without being too dogmatic? In this paper, we make the hypothesis that the concept of “technodiversity” originated from the philosophy of technology is suited for tackling this issue. We aim to demonstrate that it is an operational concept that allows for highlighting a diversity of visions of sustainability and understanding of technology among engineering students. We study an initiative during which the concept of technodiversity was introduced to engineering students and illustrated by prospective scenarios of sustainable transitions. We finally discuss the usefulness of the philosophy of technology for integrating sustainability issues in engineering training
Exploring a Framework for Assessing Socio-Ecological Impacts of Systems – Toward an Absolute Sustainability paradigm
No full textInternational audienceThe introduction of socio-ecological issues is a necessity: our lifestyles are in the process of making our planet uninhabitable because of the various impacts that were inflicting on it. To reverse this trend, we need to measure our impacts. In the context of system engineering, Life Cycle Assessment is a widely used tool. However, LCA has limitations such as the lack of integration of planetary boundaries and social issues that are context dependent. Thus, methods are being developed for locating impacts: it is known that impacts can be different at different scales, local, global... These issues of scale are found in other assessment methods such as the Doughnut, which seems to be a decision support tool for sustainable systems design. Thus, we hypothesize that the Doughnut could be the base of a framework for assessing the socio-ecological impact of complex technical systems. To test this hypothesis, we use an illustrative case. We will first see what the issues are around LCA. We will then describe how the Doughnut can be a support to assess the socio-ecological impact of systems before discussing and conclude
The Biomedical Limitations of Magnetic Nanoparticles and a Biocompatible Alternative in the Form of Magnetotactic Bacteria
No full textInternational audienceNanotechnology has an increasing impact and a great potential in various biological and medical applications. Magnetic nanoparticles (MNPs) stand out for their unique properties, a reason why they have a varied spectrum of applicability in different sectors of activity; in this paper we focus on the medical field. Magnetotactic bacteria (MTB) are a group of Gram-negative prokaryotes that migrate in one direction or another under the influence of an external magnetic field and are a category of microorganisms that constitutively perform the biomineralization of magnetic nanoparticles in the cytoplasm. This review focuses on the general and particular characteristics of magnetotactic bacteria in close correlation with their utility in the medical field, starting with the medical applications of magnetic nanoparticles and arriving at the potential role in nanomedicine of MNPs extracted from MTB
A combination of Planetary Boundaries-LCA and the Doughnut to assess social impacts of systems
No full textInternational audienceLife Cycle Assessment is the most widely used method for assessing ecological impacts. This method only considers the ecological part of the sustainability, although social issues are becoming increasingly important. “Social life cycle assessment” (S-LCA) has been developed to fill this gap, but it is rarely used in practice. In fact, it is complex and there is a lack of clear guidelines to implement S-LCA, especially for localising (adapting to a context), the indicators, which often imply the involvement of various stakeholders.Our hypothesis is that social indicators can be linked to ecological indicators through a mathematical correlation. Thus it allows the assessment of social impacts using these correlations. This article provide a method to do so, taking as input a Planetary-Boundaries LCA (PB-LCA) and achieving localisation by a downscaling of this PB-LCA. Our proposal is illustrated by a case study. The illustration highlights how to link and interpret the social and ecological dimensions, but also some weaknesses, such as the fact that it depends on PB-LCA, a method not yet widely spread, thus causing limitations of use by practitioners under real conditions. To remedy this, we make preliminary recommendations for practitioners wishing to use this method. Furthermore, the results must be interpreted with caution by practitioners: they are only a statistical representation. Practitioners should validate this mathematical approach with a field approach (interviews, etc.)
Predictive Maintenance for QoS in 5G Communication : A State of the Art Review
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