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Development of deep eutectic solvent systems and their formulation: Assessment of solubilization potential on poorly water-soluble drugs 开发深共晶溶剂系统及其配方:评估水溶性差药物的增溶潜力
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-04-15 DOI: 10.1557/s43579-024-00552-5
Brijesh M. Shah, Rachel E. Owyeung, Sameer Sonkusale

Modern strategies to deliver drugs efficiently via less toxic non-aqueous carriers like deep eutectic solvents (DES) has grown tremendously. Herein, we develop several synthetic and natural DES to improve solubility of poorly soluble drug, docetaxel (DTX). Menthol:thymol-based natural DES showed 1500-folds higher solubility for DTX than that in water. FTIR-spectroscopy confirmed reduced crystallinity and stable encapsulation of DTX in DES through formation of hydrogen-bond. DTX-DES was developed further into self-emulsified formulation that upon dilution formed nanostructured globules (< 200 nm) and released 20-folds higher DTX than pure drug thereby highlighting the potential of DES for designing formulations of poorly soluble drugs.

Graphical Abstract

通过深共晶溶剂(DES)等毒性较低的非水性载体高效递送药物的现代策略已得到了极大的发展。在此,我们开发了几种合成和天然 DES,以提高溶解性较差的药物多西他赛(DTX)的溶解度。基于薄荷醇:百里酚的天然 DES 对 DTX 的溶解度比在水中的溶解度高出 1500 倍。傅立叶变换红外光谱证实,通过形成氢键,DTX 在 DES 中的结晶度降低,封装稳定。DTX-DES 被进一步开发成自乳化制剂,稀释后形成纳米结构的球状物(< 200 nm),DTX 的释放量比纯药物高 20 倍,从而凸显了 DES 在设计溶解性差的药物制剂方面的潜力。
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引用次数: 0
SMILES-based machine learning enables the prediction of corrosion inhibition capacity 基于 SMILES 的机器学习可预测缓蚀能力
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-04-15 DOI: 10.1557/s43579-024-00551-6
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono

This study explores the efficacy of using a simplified molecular input line entry system (SMILES) as the sole feature, replacing quantum chemical properties (QCP), in predicting corrosion inhibition efficiency (CIE) for N-heterocyclic compounds. The gradient boosting regressor (GBR) model outperforms k-nearest neighbors (KNN), support vector regression (SVR), and other models. SMILES accurately predicts CIE for various datasets, demonstrating potential as a standalone feature. Results indicate a moderate correlation between SMILES representation and corrosion inhibition properties. The proposed method identifies novel N-heterocyclic derivatives with high CIE, suggesting its utility in discovering corrosion inhibitors.

Graphical abstract

本研究探讨了使用简化分子输入行输入系统(SMILES)作为唯一特征,取代量子化学性质(QCP)预测 N-杂环化合物缓蚀效率(CIE)的有效性。梯度提升回归(GBR)模型优于k-近邻(KNN)、支持向量回归(SVR)和其他模型。SMILES 可以准确预测各种数据集的 CIE,显示出作为独立特征的潜力。结果表明,SMILES 表示与缓蚀特性之间存在适度的相关性。所提出的方法能识别出具有高 CIE 的新型 N-杂环衍生物,这表明它在发现腐蚀抑制剂方面具有实用性。
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引用次数: 0
A calcium aluminum rhenium sodalite with reducible rhenium in the sodalite cage 钙铝铼钠盐石,钠盐石笼中含有可还原的铼
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-04-12 DOI: 10.1557/s43579-024-00550-7
Danrui Ni, Guangming Cheng, Lun Jin, Chen Yang, Nan Yao, Robert J. Cava

An unreported rhenium-based calcium aluminum sodalite (CARe sodalite) has been synthesized by a traditional solid-state method. The rhenium is located in the sodalite β-cage and can be reduced under 5% H2 forming gas without breaking the cage framework. Preliminary characterizations of the structural, optical, and magnetic properties are reported.

Graphical abstract

通过传统的固态方法合成了一种未报道过的铼基钙铝钠盐石(CARe sodalite)。铼位于钠铝石的 β 笼中,可在 5% 的 H2 生成气体中还原而不破坏笼的框架。报告对其结构、光学和磁学特性进行了初步表征。
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引用次数: 0
Enhancing machine learning classification of microstructures: A workflow study on joining image data and metadata in CNN 加强微结构的机器学习分类:在 CNN 中加入图像数据和元数据的工作流程研究
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-04-10 DOI: 10.1557/s43579-024-00549-0
Marie Stiefel, Martin Müller, Björn-Ivo Bachmann, Maria Agustina Guitar, Ullal Pranav Nayak, Frank Mücklich

In view of the paradigm shift toward data-driven research in materials science and engineering, handling large amounts of data becomes increasingly important. The application of FAIR (findable, accessible, interoperable, reusable) data principles emphasizes the importance of metadata describing datasets. We propose a novel data processing and machine learning (ML) pipeline to extract metadata from micrograph image files, then combine image data and their metadata for microstructure classification with a deep learning approach compared to a classic ML approach. The ML model attained excellent performances with and without metadata and bears potential for performance improvement of further use cases within the community.

Graphical abstract

鉴于材料科学与工程领域的研究模式正在向数据驱动型转变,处理大量数据变得越来越重要。FAIR(可查找、可访问、可互操作、可重用)数据原则的应用强调了描述数据集的元数据的重要性。我们提出了一种新颖的数据处理和机器学习(ML)管道,用于从显微摄影图像文件中提取元数据,然后与传统的 ML 方法相比,利用深度学习方法将图像数据及其元数据结合起来,用于显微结构分类。该 ML 模型在有元数据和无元数据的情况下均表现出色,具有在社区内进一步使用案例中提高性能的潜力。
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引用次数: 0
Platinum nanoparticle synthesis in engineered organic nanoscale reactors for efficient oxygen electro-reduction in alkaline conditions 在工程有机纳米级反应器中合成铂纳米粒子,在碱性条件下实现高效氧气电还原
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-03-28 DOI: 10.1557/s43579-024-00547-2
Subhajit Bhunia, Suzatra Chatterjee, Carlos R. Cabrera

We have designed a polymer, hc-TBtd-COP incorporating a Wurster-type redox-active building unit for the in situ reduction and nucleation of platinum nanoparticles which forms an organic polymer-wrapped metal nanoparticle composite. This composite exhibits exceptional mass activity (MA) (about 5 times larger than 20% Pt/C at 0.9 V vs. RHE) and specific activity (SA) (approximately 2 times larger than 20% Pt/C at 0.9 V vs. RHE) for the oxygen reduction reaction. The efficient electrocatalysis results from higher catalytic site dispersion and superior atom utilization efficiency. This research contributes to the advancement of composite materials for enhanced electrocatalytic performance.

Graphical abstract

我们设计了一种聚合物 hc-TBtd-COP,其中包含一个 Wurster 型氧化还原活性构建单元,用于铂纳米粒子的原位还原和成核,从而形成一种有机聚合物包裹金属纳米粒子的复合材料。这种复合材料在氧还原反应中表现出优异的质量活性 (MA)(在 0.9 V 对 RHE 条件下约为 20% Pt/C 的 5 倍)和比活性 (SA)(在 0.9 V 对 RHE 条件下约为 20% Pt/C 的 2 倍)。高效的电催化源于更高的催化位点分散度和出色的原子利用效率。这项研究有助于提高复合材料的电催化性能。
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引用次数: 0
Additively manufactured 3D short carbon fiber scaffold for thermoset composites 用于热固性复合材料的快速成型三维短碳纤维支架
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-03-26 DOI: 10.1557/s43579-024-00548-1
Chunyan Zhang, Kelvin Fu

Short-fiber-reinforced polymer composites offer advantages, like flexibility in complex geometries and cost-effectiveness, but typically exhibit lower mechanical properties because of the random orientation of short fibers. In this work, a novel process utilizing shear force to create 3D scaffold with customized fiber alignment for the manufacturing of short carbon fibers (SCF)-reinforced thermoset composites has been presented. The Computed tomography test confirmed the alignment of the SCF along printing directions. The results demonstrate that the aligned SCF-reinforced epoxy composites exhibited a 190% improvement in tensile strength and 388% improvement in tensile modulus compared to neat epoxy.

Graphical abstract

短纤维增强聚合物复合材料具有在复杂几何形状中的灵活性和成本效益等优点,但由于短纤维的随机取向,其机械性能通常较低。在这项工作中,介绍了一种利用剪切力创建具有定制纤维排列的三维支架的新工艺,用于制造短碳纤维(SCF)增强热固性复合材料。计算机断层扫描测试证实了短碳纤维沿印刷方向的排列。结果表明,与纯环氧树脂相比,排列整齐的 SCF 增强环氧树脂复合材料的拉伸强度提高了 190%,拉伸模量提高了 388%。
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引用次数: 0
Organic and perovskite materials and devices 有机和过氧化物材料与器件
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-03-20 DOI: 10.1557/s43579-024-00546-3
Dante Zakhidov, Anvar Zakhidov, George Malliaras, Alberto Salleo, Wilhelmus Geerts, Jason Slinker
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引用次数: 0
Preparation and morphology controlling of Co3O4 nanostructures and their gas-sensing properties Co3O4 纳米结构的制备、形貌控制及其气体传感特性
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-03-20 DOI: 10.1557/s43579-024-00545-4

Abstract

Co3O4 nanorods and nanosheets were prepared via a facile fluorine-mediated hydrothermal method, followed by thermal conversion. Both the Co3O4 nanorods and nanosheets exhibited a spinel structure, assembling by 30 nm nanograin along one and two dimensions. The primary exposed facet of the Co3O4 nanorods was identified as (110), while the main exposed plane of the Co3O4 nanosheets was (112). Gas sensing results showed the Co3O4 nanorods sensor exhibited higher sensitivity. The Co3O4 nanorods sensor demonstrated excellent sensitivities to toluene and xylene at 200°C, making it a promising candidate for the detection of these specific volatile organic compounds.

Graphical abstract

The response of the Co3O4 nanorods sensor to the test gases at 200°C.

摘要 通过一种简便的氟介导水热法制备了 Co3O4 纳米棒和纳米片,然后进行了热转换。Co3O4 纳米棒和纳米片都呈现出尖晶石结构,在一维和二维上都有 30 nm 的纳米晶粒。经鉴定,Co3O4 纳米棒的主要暴露面为 (110),而 Co3O4 纳米片的主要暴露面为 (112)。气体传感结果表明,Co3O4 纳米棒传感器具有更高的灵敏度。在 200°C 温度条件下,Co3O4 纳米棒传感器对甲苯和二甲苯具有极佳的灵敏度,因此有望用于检测这些特定的挥发性有机化合物。 图解摘要 Co3O4 纳米棒传感器在 200°C 时对测试气体的响应。
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引用次数: 0
Evaluating the performance of p-type organic field-effect transistor using different source–drain electrodes 评估使用不同源漏电极的 p 型有机场效应晶体管的性能
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-03-20 DOI: 10.1557/s43579-024-00539-2
Mona Azimi, Jiaxin Fan, Fabio Cicoira

We present our findings on organic field-effect transistors (OFETs) that utilize the conjugated copolymer poly[4-(4,4-dihexadecyl-4H-cyclopenta[1,2-b:5,4-b′]-dithiophen-2-yl)alt[1,2,5]thiadiazolo[3,4-c]pyridine] as the active material, with electrodes composed of arrays of carbon nanotubes (CNTs). We employed three types of source and drain electrodes: gold, titanium, and CNT array electrodes with titanium contact pads. A comparison of characteristics of OFETs using these three different electrodes revealed the effectiveness of CNTs in enhancing charge carrier injection for OFETs. The OFETs based on CNT electrodes showed a twofold increase in the drain current and a threefold increase in charge carrier mobility compared to those with gold electrodes.

Graphical abstract

我们介绍了利用共轭共聚物聚[4-(4,4-二十六烷基-4H-环戊并[1,2-b:5,4-b′]-二噻吩-2-基)共[1,2,5]噻二唑并[3,4-c]吡啶]作为活性材料的有机场效应晶体管 (OFET),其电极由碳纳米管 (CNT) 阵列组成。我们采用了三种类型的源电极和漏电极:金电极、钛电极和带有钛接触垫的碳纳米管阵列电极。对使用这三种不同电极的 OFET 特性进行比较后发现,碳纳米管能有效增强 OFET 的电荷载流子注入。与使用金电极的 OFET 相比,基于 CNT 电极的 OFET 的漏极电流增加了两倍,电荷载流子迁移率增加了三倍。
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引用次数: 0
A highly stable and efficient organic microcavity polariton laser 高度稳定、高效的有机微腔偏振子激光器
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-03-19 DOI: 10.1557/s43579-024-00543-6
Julia Witt, Andreas Mischok, Florian Le Roux, Malte C. Gather

With their remarkably low thresholds, organic polariton lasers are a promising alternative to organic photonic lasers. However, device stability remains a challenge, in part due to material degradation during deposition of the top dielectric mirror. We demonstrate polariton lasers based on 4,4′-Bis(4-(9H-carbazol-9-yl)styryl)biphenyl (BSBCz) as active material that achieve a low lasing threshold of 8.7 μJ/cm2, and we show that a ZrO2 protection layer between active layer and top mirror significantly improves stability. Optimized devices exhibit minimal degradation after 100,000 excitation pulses at 3.8 times above threshold. Our findings establish BSBCz as an attractive candidate for future injection driven polariton lasers.

Graphical abstract

有机极化子激光器的阈值极低,是有机光子激光器的理想替代品。然而,器件的稳定性仍然是一个挑战,部分原因是顶部电介质镜沉积过程中的材料降解。我们展示了基于 4,4′-双(4-(9H-咔唑-9-基)苯乙烯基)联苯 (BSBCz) 作为活性材料的极化子激光器,其激光阈值低至 8.7 μJ/cm2。经过优化的器件在超过阈值 3.8 倍的 100,000 次激发脉冲后,衰减极小。我们的研究结果表明,BSBCz 是未来注入驱动型极化子激光器的理想候选材料。
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引用次数: 0
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MRS Communications
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