Boolean logic gate based on DNA strand displacement for biosensing: current and emerging strategies [0.03%]
基于DNA杂交的布尔逻辑门在生物传感中的应用：现状与未来策略分析
Shuang Zhao,Lianyu Yu,Sha Yang et al.
Shuang Zhao et al.
DNA computers are considered one of the most prominent next-generation molecular computers that perform Boolean logic using DNA elements. DNA-based Boolean logic gates, especially DNA strand displacement-based logic gates (SDLGs), have show...
A plasmon-based nanoruler to probe the mechanical properties of synthetic and biogenic nanosized lipid vesicles [0.03%]
一种基于等离激元的纳米刻度尺用于探测合成和生物基因纳米脂质小体的机械性能
Lucrezia Caselli,Andrea Ridolfi,Jacopo Cardellini et al.
Lucrezia Caselli et al.
Nanosized lipid vesicles are ubiquitous in living systems (e.g. cellular compartments or extracellular vesicles, EVs) and in formulations for nanomedicine (e.g. liposomes for RNA vaccine formulations). The mechanical properties of such vesi...
Selective photocatalytic production of CH4 using Zn-based polyoxometalate as a nonconventional CO2 reduction catalyst [0.03%]
选择性光催化生产CH4：使用Zn基多金属氧酸盐作为非传统CO2还原催化剂
Nayeong Kim,Jung Seung Nam,Jinhyeong Jo et al.
Nayeong Kim et al.
Efficient and selective production of CH4 through the CO2 reduction reaction (CO2RR) is a challenging task due to the high amount of energy consumption and various reaction pathways. Here, we report the synthesis of Zn-based polyoxometalate...
Ferroptosis/pyroptosis dual-inductive combinational anti-cancer therapy achieved by transferrin decorated nanoMOF [0.03%]
转铁蛋白修饰的纳米MOF实现的铁死亡/细胞炎性坏死联合抗肿瘤疗法
Rui Xu,Jie Yang,Yun Qian et al.
Rui Xu et al.
Non-apoptotic cell death such as ferroptosis and pyroptosis has shed new light on cancer treatment, whereas combinational therapy using both these mechanisms has not yet been fully explored. Herein, a dual-inductive nano-system to realize f...
Ultratough and ultrastrong graphene oxide hybrid films via a polycationitrile approach [0.03%]
聚阳离子腈结合氧化石墨烯制备超坚韧复合薄膜
Jian Chang,Miao Zhang,Qiang Zhao et al.
Jian Chang et al.
Graphene oxide (GO) is a classic two dimensional (2D) building block that can be used to develop high-performance materials for numerous applications, particularly in the energy and environmental fields. Currently, the precise assembly of G...
Fusogenic porous silicon nanoparticles as a broad-spectrum immunotherapy against bacterial infections [0.03%]
具有融合活性的多孔硅纳米颗粒针对细菌感染的广谱免疫治疗效应
Byungji Kim,Qinglin Yang,Leslie W Chan et al.
Byungji Kim et al.
Bacterial infections are re-emerging as substantial threats to global health due to the limited selection of antibiotics that are capable of overcoming antibiotic-resistant strains. By deterring such mutations whilst minimizing the need to ...
Tumor-targeted gene therapy with lipid nanoparticles inhibits tumor-associated adipocytes and remodels the immunosuppressive tumor microenvironment in triple-negative breast cancer [0.03%]
用于靶向肿瘤基因治疗的脂质纳米颗粒可抑制三阴性乳腺癌相关的肿瘤相关脂肪细胞并重塑免疫抑制型肿瘤微环境
Yun Liu,Karthik Tiruthani,Menglin Wang et al.
Yun Liu et al.
Adipocytes are the primary cellular components within the tumor microenvironment (TME) of triple-negative breast cancer (TNBC). Increasing evidence suggests that tumor-associated adipocytes (TAAs) can aggravate tumor progression, exacerbate...
Induced pluripotent stem cell-derived vascular networks to screen nano-bio interactions [0.03%]
诱导多能干细胞来源血管网络用于筛选纳米材料的生物效应
Luís Estronca,Vitor Francisco,Patrícia Pitrez et al.
Luís Estronca et al.
The vascular bioactivity/safety of nanomaterials is typically evaluated by animal testing, which is of low throughput and does not account for biological differences between animals and humans such as ageing, metabolism and disease profiles...
Radiative heat transfer at the nanoscale: experimental trends and challenges [0.03%]
纳米尺度的辐射传热：实验趋势与挑战
Christophe Lucchesi,Rodolphe Vaillon,Pierre-Olivier Chapuis
Christophe Lucchesi
Energy transport theories are being revisited at the nanoscale, as macroscopic laws known for a century are broken at dimensions smaller than those associated with energy carriers. For thermal radiation, where the typical dimension is provi...
Unsupervised structure classes vs. supervised property classes of silicon quantum dots using neural networks [0.03%]
基于神经网络的硅量子点无监督结构分类与有监督性质分类
Amanda J Parker,Amanda S Barnard
Amanda J Parker
Machine learning classification is a useful technique to predict structure/property relationships in samples of nanomaterials where distributions of sizes and mixtures of shapes are persistent. The separation of classes, however, can either...