Au-covered hollow urchin-like ZnO nanostructures were prepared with controlled size by combining nanosphere lithography (NSL), atomic layer deposition (ALD), electrodeposition, and electron beam (e-beam) evaporation. The optimal Au film thickness for sensing applications was determined by measuring the surface-enhanced Raman scattering (SERS) intensities of the substrates. Furthermore, the sensing performances of these hybrid nanostructures have been investigated by using chemical and biological molecules: thiophenol and adenine, respectively. Limits of detection (LOD) of 10 À8 M and 10 À6 M were found for the detection of thiophenol and adenine, respectively. Additionally, the excellent uniformity and batch-to-batch reproducibility of the substrates make them excellent candidates for reliable SERS sensing and biosensing.

Nano-porous two-dimensional molecular crystals, self-assembled on atomically flat host surfaces offer abroad range of possible applications, from molecular electronics to future nano-machines. Computerassisteddesigning of such complex structures requires numerically intensive modeling methods. Here wepresent the results of extensive, fully atomistic simulations of self-assembled monolayers of interdigitatedmolecules of 1,3,5-tristyrilbenzene substituted by C6 alkoxy peripheral chains (TSB3,5-C6), depositedonto highly-ordered pyrolytic graphite. Structural and electronic properties of the TSB3,5-C6 moleculeswere determined from ab initio calculations, then used in Molecular Dynamics simulations to analyze themechanism of formation, epitaxy, and stability of the TSB3,5-C6 nanoporous superlattice. We show thatthe monolayer disordering results from the competition between flexibility of the C6 chains and theirstabilization by interdigitation. The inclusion of guest molecules (benzene and pyrene) into superlatticenanopores stabilizes the monolayer. The alkoxy chain mobility and available pore space defines thesystems dynamics, essential for potential application.

Le silicium est le semi-conducteur le plus utilisé dans l’industrie de la micro-électronique de puis les années 60. Mais l’utilisation du silicium pour emmètre de la lumière reste limité de part la nature indirect de son gap. Dans ce contexte, le centre G est le plus prometteur… Nous avons effectué des mesures de spectroscopie optique pour caractériser les propriétés de photoluminescence des centres G. Celui ci est crée par irradiation protons d’un échantillon de silicium enrichi carbone. Les principaux résultats sont les suivants : nous avons mesuré la dynamique de recombinaison des centres G (le temps de vie) qui est de 6 ns. On a mesuré la dynamique de l’état métastable des centres G qui a un temps de vie de 6 us. Puis, nous avons pour pu isoler un centre unique dans le silicium ; et nous avons montré que celui-ci émet des photons uniques.

La pollution des océans par les déchets plastiques est devenue un problème environnemental majeur résultant de son accumulation dans les environnements terrestre et marin. Lorsqu'ils sont mal gérés, les plastiques pénètrent dans le milieu aquatique où ils subissent une dégradation et une fragmentation en microplastiques désormais omniprésents dans tous les milieux aquatiques (Law, 2017). Outre le fait qu'il est impossible d'éliminer les microplastiques du milieu marin, leur impact sur l’environnement est plus important. Diverses études ont montré que de nombreux types d'organismes marins ingéraient des microplastiques, ce qui entraînait des effets néfastes à plusieurs niveaux de la chaîne alimentaire et des écosystèmes marins (Rochman et al., 2016 ; Chae et al., 2017). On soupçonne également que les microplastiques, qui constituent un nouvel habitat pour les micro-organismes, sont des vecteurs de bactéries potentiellement pathogènes (Kirstein et al.,2016 ; Dussud et al.,2018).Le devenir des polymères dans le milieu aquatique dépend à la fois de phénomènes abiotiques (UV, stress mécanique) et biotiques, dus à la colonisation du plastique par des micro-organismes marins (bactéries, phytoplancton, champignons, etc.). Une des principales étapes de la biodégradation est la constitution d'un biofilm et la réduction de la longueur des chaînes de polymère via des exo-enzymes produites par des bactéries issues du biofilm. Une fois que les chaînes de polymère sont suffisamment courtes, elles peuvent être assimilées par les bactéries (Ennouri et al., 2017). Alors que les phénomènes abiotiques entraînent l’endommagement et la fragmentation d’un polymère par des mécanismes d’oxydation et d’hydrolyse, la création de défauts structurels et la propagation de fractures, il est généralement admis que seuls les phénomènes biotiques conduiront à la biodégradation complète d’un polymère, c’est-à-dire à sa conversion en biomasse, eau et CO2. En milieu marin, de nombreuses questions demeurent quant à la cinétique relative de la dégradation abiotique et biotique et à leur impact respectif en termes de fragmentation (Shah et al., 2008). Par exemple, plusieurs articles (Ter Halle et al., 2016 ; Cozar et al., 2018) ont récemment rapporté que la distribution en taille des particules collectées dans l'océan entre 5 mm et quelques centaines de microns ne semble pas correspondre à un processus de fragmentation monocinétique.Les profils d'érosion des polymères semi-cristallins ont fait l'objet d'études approfondies en laboratoire dans des conditions enzymatiques ou bactériennes et divers profils de dégradation ont été observés, leur apparition est principalement liée à la différence de cinétique d'érosion entre les régions cristallines et amorphes (Morse et al., 2011 ; Martinez-Tobon et al., 2018). À ce jour, il y a beaucoup moins d'études sur la manière dont l'évolution des patterns de surface influencera à son tour le processus d'érosion, et pourra conduire à la fracture ou à la génération de fragments.Afin d'étudier le processus d'érosion enzymatique, nous avons utilisé le système bien connu PDLLA / protéinase K (Yamashita et al., 2005). Etant particulièrement intéressés par le rôle des hétérogénéités à l’échelle de quelques nanomètres à quelques micromètres, nous avons utilisé un polymère de composition chimique donnée (PDLLA, 1,7% de D-mer, Mn = 95 kg / mol, indice de polydispersité I = 1,63) et de morphologie contrôlée par traitement thermique.

Pollution of the ocean by plastic litter has become a major environmental problem : when mismanaged, plastics enter the environment where they undergo degradation and fragmentation into microplastics that are now ubiquitous in all aquatic compartments. In addition to the fact that microplastics are impossible to remove from the marine environment, they are even more damaging than the macroscopic waste.The fate of polymers in the aquatic environment depends both on abiotic phenomena (UV, mechanical stress), and on biotic ones, due to the colonization of plastics by micro-organisms. A primary step for bio-degradation is the constitution of a biofilm and reduction of the polymer chain length via exo-enzymes produced by bacteria from the biofilm. Once polymer chains are short enough, they can be assimilated by bacteria. While abiotic phenomena lead to the damage and fragmentation of a polymer by oxidation and hydrolysis mechanisms, creation of structural defects and fracture propagation, it is generally admitted that only biotic phenomena will result into the complete bio-degradation of a polymer, i.e. its conversion into biomass, water and CO2. In the marine environment, many questions remain about the relative kinetics of abiotic and biotic degradation and their respective impact in terms of fragmentation. For instance, several papers have recently reported that the size distribution of particles collected in the ocean between 5mm and a few hundreds of microns, does not seem to correspond to a single-kinetic fragmentation process.We studied the enzymatic erosion process in semi-crystalline polymersto understand the potential fracture and fragments generation in relation to the formation of erosion patterns . Being specifically interested in the role of heterogeneities at the scale of a few nanometers to a few micrometers, we used a polymer of a given chemical composition and monitored its morphology through its change in crystallinity ratio, everything else remaining constant. We used the well-known model system PDLLA/proteinase KEnzymatic erosion kinetics were measured through weight loss experiments and erosion patterns were observed over time through atomic force microscopy (AFM) and SEM. In order to interpret the results, we combined a simple two-phase geometric erosion model with the well-known Michaelis-Menten model for enzymatic kinetics. Our geometric erosion model is based on the evolution of the erosion front with time induced by the erosion rate difference between crystalline and amorphous regions. This new model accounts very well for the experimental results and unexpectedly predicts that after a lag time, the final erosion rate will be the one of the fastest eroding phase. Moreover, we observed a morphology-dependent release of fragments, which the model is also able to predict. In particular, one observes the release of spherulites as long as they are smaller than a critical size determined in the model. Some important consequences relevant for the understanding of the formation of micro-plastics in the ocean can be drawn from these results.

Pollution of the ocean by plastic litter has become a major environmental problem resulting from its accumulation in terrestrial and marine environments. When mismanaged, plastics enter the aquatic environment where they undergo degradation and fragmentation into microplastics that are now ubiquitous in all aquatic compartments. In addition to the fact that microplastics are impossible to remove from the marine environment, they are even more damaging than the macroscopic waste.The fate of polymers in the aquatic environment depends both on abiotic phenomena (UV, mechanical stress), and on biotic ones, due to the colonization of plastics by marine micro-organisms. A primary step for bio-degradation is the constitution of a biofilm and reduction of the polymer chain length via exo-enzymes produced by bacteria from the biofilm. Once polymer chains are short enough, they can be assimilated by bacteria. While abiotic phenomena lead to the damage and fragmentation of a polymer by oxidation and hydrolysis mechanisms, creation of structural defects and fracture propagation, it is generally admitted that only biotic phenomena will result into the complete bio-degradation of a polymer, i.e. its conversion into biomass, water and CO2. In the marine environment, many questions remain about the relative kinetics of abiotic and biotic degradation and their respective impact in terms of fragmentation. For instance, several papers have recently reported that the size distribution of particles collected in the ocean between 5mm and a few hundreds of microns, does not seem to correspond to a single-kinetic fragmentation process.In order toWe studiedy the enzymatic erosion process in semi-crystalline polymersand to understand the potential fracture and fragments generation in relation to the formation of erosion patterns in semi-crystalline polymers, we used the well-known model system PDLLA/proteinase K. Being specifically interested in the role of heterogeneities at the scale of a few nanometers to a few micrometers, we used a polymer of a given chemical composition and monitored its morphology through its change in crystallinity ratio, everything else remaining constant. We used the well-known model system PDLLA/proteinase KEnzymatic erosion kinetics were measured through weight loss experiments and erosion patterns were observed over time through atomic force microscopy (AFM) and SEM. In order to interpret the results, we combined a simple two-phase geometric erosion model with the well-known Michaelis-Menten model for enzymatic kinetics. Our geometric erosion model is based on the evolution of the erosion front with time induced by the erosion rate difference between crystalline and amorphous regions. This new model accounts very well for the experimental results and unexpectedly predicts that after a lag time, the final erosion rate will be the one of the fastest eroding phase. Moreover, we observed a morphology-dependent release of fragments, which the model is also able to predict. In particular, one observes the release of spherulites as long as they are smaller than a critical size determined in the model. Some important consequences relevant for the understanding of the formation of micro-plastics in the ocean can be drawn from these resultsexperiments.

Pollution of the ocean by plastic litter has become a major environmental problem resulting from its accumulation in terrestrial and marine environments. When mismanaged, plastics enter the aquatic environment where they undergo degradation and fragmentation into microplastics that are now ubiquitous in all aquatic compartments. In addition to the fact that microplastics are impossible to remove from the marine environment, they are even more damaging than the macro waste. Various studies have shown that microplastics are ingested by many types of marine organisms leading to adverse effects at several levels of the food chain and of the marine ecosystems. It is also suspected that microplastics, that constitute a new habitat for micro-organisms, are vectors for potentially pathogenic bacteria.The fate of polymers in the aquatic environment depends both on abiotic phenomena (UV, mechanical stress), and on biotic ones, due to the colonization of plastics by marine micro-organisms (bacteria, phytoplankton, fungi, etc.). A primary step for bio-degradation is the constitution of a biofilm and reduction of the polymer chain length via exo-enzymes produced by bacteria from the biofilm. Once polymer chains are short enough, they can be assimilated by bacteria. While abiotic phenomena lead to the damage and fragmentation of a polymer by oxidation and hydrolysis mechanisms, creation of structural defects and fracture propagation, it is generally admitted that only biotic phenomena will result into the complete bio-degradation of a polymer, i.e. its conversion into biomass, water and CO2. In the marine environment, many questions remain about the relative kinetics of abiotic and biotic degradation and their respective impact in terms of fragmentation. For instance, several papers have recently reported that the size distribution of particles collected in the ocean between 5mm and a few hundreds of microns, does not seem to correspond to a single-kinetic fragmentation process.The erosion patterns of semi-crystalline polymers have been extensively studied in laboratory under enzymatic or bacterial conditions and various degradation patterns have been observed whose occurrence is mainly linked to the difference in the erosion kinetics between crystalline and amorphous regions. To date, there are much less studies addressing how the evolution of these surface patterns will in turn influence the erosion process, lead to fracture and potential fragments generation.In order to study the enzymatic erosion process, we used the well-known model system PDLLA/proteinase K. Being specifically interested in the role of heterogeneities at the scale of a few nanometers to a few micrometers, we used a polymer of a given chemical composition (PDLLA, 1.7% of D-mer, Mn = 95 kg/mol, polydispersity index I=1.63) and monitored its morphology through its change in crystallinity ratio, everything else remaining constant.Three types of samples were studied: 100% amorphous (A), semi-crystalline with 5% (SC5) and 35% (SC35) crystallinity.The samples morphologies were characterized through DSC, polarized optical microscopy (POM) and SEM. Enzymatic erosion kinetics were measured through weight loss experiments for the 3 polymers and the erosion patterns were observed over time through atomic force microscopy (AFM) and SEM. In order to interpret the results, we combined a simple two-phase geometric erosion model with the well-known Michaelis-Menten model for enzymatic kinetics. Our geometric erosion model is based on the evolution of the erosion front with time induced by the erosion rate difference between crystalline and amorphous regions. This new model accounts very well for the experimental results. Moreover, we observed a morphology-dependent release of fragments, which the model is also able to predict. In particular, one observes the release of spherulites as long as they are smaller than a critical size determined in the model. Some important consequences relevant for the understanding of the formation of micro-plastics in the ocean can be drawn from these experiments.