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聚多巴胺的合成及其性能应用

广州化工 2024年第5期52卷 17-20页

作者：蔡俊文 yoann de Rancourt de Mimérand 郭嘉武汉工程大学绿色化工过程教育部重点实验室湖北武汉430205

聚多巴胺是由单体多巴胺在弱碱有氧环境中自聚而成,由于其具有优异的黏着性、生物相容性、还原性等化学性能,吸引了众多学者对其在不同领域的应用进行开发。针对聚多巴胺的具体合成途径,至今还没有完全的定论,其原因是中间产物有较多的... 详细信息

聚多巴胺是由单体多巴胺在弱碱有氧环境中自聚而成,由于其具有优异的黏着性、生物相容性、还原性等化学性能,吸引了众多学者对其在不同领域的应用进行开发。针对聚多巴胺的具体合成途径,至今还没有完全的定论,其原因是中间产物有较多的可能性;对于聚多巴胺薄膜的制备则会受到聚合时间、单体溶液的浓度、pH值、离子溶液的种类等条件影响,聚多巴胺涂层厚度会随时间及浓度的增加而增加,当pH值提升时会加快其自聚合速率,除此之外,利用特殊设备将多巴胺溶液雾化也可以提升聚多巴胺的合成速率,当溶液存在Ca2+时会加强其黏着性能,而当溶液存在Na+时则会抑制其黏着性能;对于聚多巴胺的应用,其在生物制药、医疗器械的抗菌涂层制备、金属材料的制备、其它材料的表面改性等多个领域均有所应用。本文就聚多巴胺的合成和聚多巴胺的应用两个方面进行了简单论述,主要内容包含了对多巴胺的自聚机理、影响多巴胺自聚因素、传统聚多巴胺合成法和加速聚多巴胺合成法的介绍以及聚多巴胺在不同领域的应用潜能的归纳。

关键词：聚多巴胺合成方法应用

国际化人才培养视角下研究生课程全英文教学的探索与思考

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英语广场（学术研究） 2024年第2期 96-99页

作者：郭嘉罗晔 yoann de Rancourt de Mimérand 吴华东张林锋何广惠武汉工程大学化工与制药学院武汉工程大学光信息与能源工程学院武汉工程大学外语学院

随着经济全球化进程的推进,中国急需大量国际化人才。培养国际化研究生已成为高校的当务之急。本文分析了开展研究生课程全英文教学的必要性与可行性,探讨了听说读写“四位一体”的培养模式,以满足研究生国际化教育的需求,培养致力于服... 详细信息

随着经济全球化进程的推进,中国急需大量国际化人才。培养国际化研究生已成为高校的当务之急。本文分析了开展研究生课程全英文教学的必要性与可行性,探讨了听说读写“四位一体”的培养模式,以满足研究生国际化教育的需求,培养致力于服务人类命运共同体构建的高水平人才。

关键词：国际化人才培养研究生全英文教学

A unified electrical model based on experimental data to describe electrical transport in carbon nanotube-based materials

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Nano Research 2020年第6期13卷 1764-1779页

作者： yoann Dini Jérôme Faure-Vincent Jean Dijon Univ.Grenoble-Alpes CEALITENDTNMF-38000GrenobleFrance Univ.Grenoble-Alpes CEACNRSIRIGSyMMESF-38000GrenobleFrance

Understanding the electrical transport in carbon nanotube(CNT)materials is one key to reach very high electrical *** CNT material resistivity(ρ(T))as function of the temperature are fully apprehended by their reduced activation W(T)=dln(ρ)/dln(T)*** to now,no model accurately fits W(T)curves,thus preventing from precisely describing the CNT material electrical *** present a new electrical transport model that perfectly fits all W(T)curves found in the literature and in our own *** material resistivities are modeled byρ(T)=ρ0(T^−α+M(1+βTγT^2)).Our model has few enough parameters(α,M,β,γ)to relate them to the CNT *** 70 K,we experimentally show that CNT material resistivity follows the Luttinger Liquid theory justifying the T^−αterm in our *** 70 K,the polynomial part becomes dominant and depends on the two different CNT fabrication techniques which lead to two very different yarn *** yarns made from floating catalyst chemical vapor deposition CNTs,the polynomial is explained by the percolation of metallic CNT ***,the polynomial of yarns spun from CNT arrays is explained by the electrical transport in CNT bundles which are the basic building blocks of this type of yarns.

关键词： carbon nanotube carbon-based materials electrical conductivity electrical transport model Luttinger Liquid

Extracting bulk defect parameters in silicon wafers using machine learning models

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npj Computational Materials 2020年第1期6卷 491-498页

作者： yoann Buratti Quoc Thong Le Gia Josef Dick Yan Zhu Ziv Hameiri The University of New South Wales SydneyNSW 2052Australia

The performance of high-efficiency silicon solar cells is limited by the presence of bulk *** of these defects has the potential to improve cell performance and *** impact of bulk defects on minority carrier lifetime is commonly measured using temperature-and injection-dependent lifetime spectroscopy and the defect parameters,such as its energy level and capture cross-section ratio,are usually extracted by fitting the Shockley-Read-Hall *** propose an alternative extraction approach by using machine learning trained on more than a million simulated lifetime curves,achieving coefficient of determinations between the true and predicted values of the defect parameters above 99%.In particular,random forest regressors,show that defect energy levels can be predicted with a high precision of±0.02 eV,87% of the *** traditional approach of fitting to the Shockley-Read-Hall equation usually yields two sets of defect parameters,one in each half *** machine learning model is trained to predict the half bandgap location of the energy level,and successfully overcome the traditional approach’s *** proposed approach is validated using experimental measurements,where the machine learning predicts defect energy level and capture cross-section ratio within the uncertainty range of the traditional fitting *** successful application of machine learning in the context of bulk defect parameter extraction paves the way to more complex data-driven physical models which have the potential to overcome the limitation of traditional approaches and can be applied to other materials such as perovskite and thin film.

关键词： defect lifetime learning

Effect of impeller design on homogeneity, size and strength of pharmaceutical granules produced by high-shear wet granulation

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Particuology 2015年第6期13卷 31-39页

作者： Zakaria Mirza Jiangtao Liu yoann Glocheux Ahmad B. Albadarin Gavin M. Walker Chirangano Mangwandi School of Chemistry and Chemical Engineering Queen's University Belfast Belfast BT9 SAG Northern Ireland UK Synthesis & Solid State Pharmaceuticals Center (SSPC) Department of Chemical and Environmental Science. University of Limerick Ireland

Small mixer impeller design is not tailored for granulation because impellers are intended for a wide range of processes. The aim of this research was to evaluate the performances of several impellers to provide guidance on the selection and design for the purposes of granulation. Lactose granules were produced using wet granulation with water as a binder. A Kenwood KM070 mixer was used as a standard apparatus and five impeller designs with different shapes and surface areas were used. The efficacy of granulate for- mation was measured by adding an optically sensitive tracer to determine variations in active ingredient content across random samples of granules from the same size classes. It was found that impeller design influenced the homogeneity of the granules and therefore can affect final product performance. The vari- ation in active ingredient content across granules of differing size was also investigated. The results show that small granules were more potent than larger granules,

关键词： Granule strength Impeller design Homogeneity High-shear granulation Lactose monohydrate

Real-time in situ magnetic measurement of the intracellular biodegradation of iron oxide nanoparticles in a stem cell-spheroid tissue model

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Nano Research 2020年第2期13卷 467-476页

作者： Aurore Van de Walle Alexandre Fromain Anouchka Plan Sangnier Alberto Curcio Luc Lenglet Laurence Motte yoann Lalatonne Claire Wilhelm Laboratoire Matière et Systèmes Complexes MSCUMR 7057CNRS&University of Paris75205Paris Cedex 13France Inserm U1148Laboratory for Vascular Translational ScienceSorbonne Paris NordSorbonne Paris CitéF-93017 BobignyFranc Normafin Sàrl 8 rue Mathilde Girault92300 Levallois-PerretFrance Services de Biochimie et Médecine Nucléaire Hópital Avicenne Assistance Publique-Hôpitaux de ParisF-93009 BobignyFrance

The use of magnetic nanoparticles in nanomedicine keeps expanding and,for most applications,the nanoparticles are internalized in cells then left within,bringing the need for accurate,fast,and easy to handle methodologies to assess their behavior in the cellular ***,a benchtop-size magnetic sensor is introduced to provide real-time precise measurement of nanoparticle magnetism within living *** values obtained with the sensor,of cells loaded with different doses of magnetic nanoparticles,are first compared to conventional vibrating sample magnetometry(VSM),and a strong correlation remarkably validates the use of the magnetic sensor as magnetometer to determine the nanoparticle cellular *** sensor is then used to monitor the progressive intracellular degradation of the nanoparticles,over ***,this real-time in situ measure is performed on a stem cell-spheroid tissue model and can run continuously on a same spheroid,with cells kept alive ***,such continuous magnetic measurement of cell magnetism at the tissue scale does not impact either tissue formation,vibility,or stem cell function,including differentiation and extracellular matrix production.

关键词： magnetic nanoparticles magnetometry real-time in operando measures biodegradation stem cells

A new approach to LST modeling and normalization under clear-sky conditions based on a local optimization strategy

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International Journal of Digital Earth 2022年第1期15卷 1833-1854页

作者： Majid Kiavarz Mohammad Karimi Firozjaei Seyed Kazem Alavipanah Quazi K.Hassan yoann Malbéteau Si-Bo Duan Department of Remote Sensing and GIS University of TehranTehranIran Geomatics Engineering Schulich School of EngineeringUniversity of CalgaryCalgaryCanada Center for Remote Sensing Applications Mohammed VI Polytechnic University (UM6P)Ben GuerirMorocco Key Laboratory of Agricultural Remote Sensing Ministry of Agriculture/Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijingPeople’s Republic of China

The normalization of LST relative to environmental parameters is of great importance in various environmental applications. The purpose of this study was to develop a new approach for LST normalization relative to environmental variables. These included topographic variables (i.e. solar irradiance and near-surface temperature lapse rate (NSTLR)) as well as biophysical properties (i.e. vegetation,wetness,and albedo). The study was conducted in two phases,namely (1) using global and (2) local optimization strategies to calculate the regression coefficients of environmental variables in the partial least squares regression (PLSR) and build the non-linear linking model in the random forest regression (RFR). The RMSEs between actual LST and modeled LST based on the global and local optimization strategies using PLSR (RFR) were 2.202 (0.935) and 0.939 (0.835) °C,respectively. The results showed that RFR had higher efficiency than PLSR in normalizing LST. Moreover,the local optimization method outperformed the global optimization method in terms of normalization accuracy. The results of this study could be very useful in many environmental applications such as identifying thermal anomalies,and surface anthropogenic heat island modeling.

关键词： Normalization land surface temperature environmental variables partial least squares random forest local strategy

Insights into enhanced electrochemiluminescence of a multiresonance thermally activated delayed fluorescence molecule

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SmartMat 2023年第2期4卷 106-119页

作者： Liuqing Yang Lihui Dong David Hall Mahdi Hesari yoann Olivier Eli Zysman‐Colman Zhifeng Ding Department of Chemistry Western UniversityOntarioLondonCanada Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology School of Chemistry and Chemical EngineeringGuangxi UniversityNanningChina Organic Semiconductor Centre EaStCHEM School of ChemistryUniversity of St AndrewsSt AndrewsFifeUK Laboratory for Chemistry of Novel Materials University of MonsMonsBelgium Laboratory for Computational Modeling of Functional Materials Namur Institute of Structured MatterUniversity of NamurNamurBelgium

The electrochemiluminescence(ECL)behavior of a multiresonance thermally activated delayed fluorescence molecule has been investigated for the first time by means of ECL‐voltage curves,newly designed ECL‐time observatory,and ECL *** compound,Mes3DiKTa,shows complex ECL behavior,including a delayed onset time of 5 ms for ECL generation in both the annihilation pathway and the coreactant route,which we attribute to organic long‐persistent ECL(OLECL).Triplet‐triplet annihilation,thermally activated delayed fluorescence and uncompensated solution resistance cannot be ruled out as contributing mechanisms to the ECL.A very long ECL emission decay was attributed to OLECL as *** absolute ECL efficiencies of Mes3DiKTa were enhanced and reached 0.0013%in annihilation route and 1.1%for the coreactant system,which are superior to those of most other organic ECL *** is plausible that ECL materials with comparable behavior as Mes3DiKTa are desirable in applications such as ECL sensing,imaging,and light‐emitting devices.

关键词： electrochemiluminescence multiresonant thermally activated delayed fluorescence organic long‐persistent electrochemiluminescence triplet‐triplet annihilation

Effect of micro-algae Schizochytrium *** in plant diet on reproduction of female rainbow trout(Oncorhynchus mykiss):maternal programming impact of progeny

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Journal of Animal Science and Biotechnology 2022年第4期13卷 1175-1192页

作者： Emilie Cardona Emilien Segret yoann Cachelou Thibaut Vanderesse Laurence Larroquet Alexandre Hermann Anne Surget Geneviève Corraze Frederic Cachelou Julien Bobe Sandrine Skiba-Cassy INRAE Univ.Pau&Pays AdourE2S UPPANuMéAF-64310Saint Pée-sur-NivelleFrance INRAE UR1037 Fish Physiology and Genomic laboratoryF-35000 RennesFrance Viviers de Sarrance F-64490SarranceFrance Viviers de Rébénacq F-64260RébénacqFrance.

Background:The broodstock diet,and in particular the lipid and fatty acid composition of the diet,is known to play a key role in reproductive efficiency and survival of the progeny in fish.A major problem when replacing both fish meal and fish oil by plant sources is the lack of n-3 long chain polyunsaturated fatty acids,such as eicosapentaenoic acid(EPA)and docosahexaenoic acid(DHA).To address this problem,we studied the effect of the plant-based diet supplemented with Schizochytrium ***,source of DHA,compared to a conventional commercial diet rich in fish meal and fish oil on reproductive performance and egg quality and the consequences on progeny,in female rainbow trout ***:The results demonstrated that DHA-rich microalgae supplementation in a plant-based diet allowed for the maintenance of reproductive performance and egg quality comparable to a conventional commercial feed rich in fish meal and fish oil and led to an increased significant fry survival after ***,when females were fed a plant-based diet supplemented with micro-algae,the 4-month-old progenies showed a significant higher growth when they were challenged with a similar diet as broodstock during 1 *** provide evidence for metabolic programming in which the maternal dietary induced significant protracted effects on lipid metabolism of ***:The present study demonstrates that supplementation of a plant-based diet with DHA-rich microalgae can be an effective alternative to fish meal and fish oil in rainbow trout broodstock aquafeed.

关键词： Egg quality Micro-algae Nutritional programming Plant diet Rainbow trout Reproduction