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A dual-mode aptasensor integrating ratiometric fluorescence and colorimetry for on-site Cu2+ detection. 结合比率荧光和比色法的双模适体传感器用于现场Cu2+检测。
IF 4.2 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2026-03-18 DOI: 10.1039/d5cc05555e
Lingli Bu, Xia Yang, Shenao Qu, Junhao Hu, Qingwei Cui, Mengqi Wang, Yue Wang, Kai Shi, Sheng Lei, Jiaheng Zhang

A dual-mode aptasensor integrating ratiometric fluorescence and colorimetric readouts enables rapid, selective Cu2+ detection with smartphone-based on-site analysis.

集成比率荧光和比色读数的双模式适配传感器可以通过基于智能手机的现场分析实现快速,选择性的Cu2+检测。
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引用次数: 0
Selective nucleophilic addition of aryllithium reagents to α-ketonitriles giving ketones under microflow conditions. 微流条件下芳基锂试剂与α-酮腈的选择性亲核加成反应。
IF 4.9 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2026-03-18 DOI: 10.1039/d5cc07035j
Mohmmad S Qenawy,Kazuhiro Okamoto,Aiichiro Nagaki
We report the selective nucleophilic addition of aryllithium species to acyl cyanides-electrophiles bearing both carbonyl and cyano functional groups-under catalyst-free continuous flow conditions. Using benzoyl cyanide as a model substrate, we demonstrate that the flow microreactor system enables highly selective addition to the carbonyl moiety while eliminating the cyano group as a leaving group, affording polyfunctional ketones in significantly improved yields compared to traditional batch processes.
我们报道了在无催化剂的连续流动条件下,芳基锂在酰基氰化物(同时具有羰基和氰基官能团的亲电试剂)上的选择性亲核加成。使用苯甲酰氰化物作为模型底物,我们证明了流动微反应器系统可以高度选择性地添加羰基部分,同时消除氰基作为离去基,与传统的间歇工艺相比,可以显著提高多功能酮的收率。
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引用次数: 0
Bimetallic MOF-Derivatives Enabled Multi-Sited Current Collector for High-Performance Anode-Free Lithium Metal Battery 高性能无阳极锂金属电池的双金属mof衍生物多位置集流器
IF 4.9 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2026-03-18 DOI: 10.1039/d5cc07350b
Rui Luo, Xingtong Guo, Zi Wang, Xiaonuo Jiang, Chao Su, Tao Wei
Anode-free lithium metal batteries (AFLMBs) offer ultrahigh energy density but suffer from unstable interfaces and nonuniform lithium deposition. Herein, a Ni/CoO-modified carbon cloth (CC@Ni/CoO) derived from bimetallic NiCo-MOFs is developed as a multi-sited functional current collector to regulate lithium nucleation and growth. The synergistic effect of multiple nucleation sites (CoO and Ni), combined with the conductive 3D framework, provides abundant lithiophilic sites and stable ion transport pathways, enabling uniform lithium deposition and suppressing dendrite formation. Consequently, the anode-free CC@Ni/CoO||LFP full cell maintains stable performance over 1000 cycles at 2C with a high capacity retention of 91.88 %. By implementing a rational interfacial design, this work holds significant promise for enabling future high-energy-density storage technologies.
无阳极锂金属电池(aflmb)具有超高的能量密度,但存在界面不稳定和锂沉积不均匀的问题。本文开发了一种Ni/CoO改性碳布(CC@Ni/CoO),该碳布由双金属nico - mof衍生而来,可作为多位点功能集电剂来调节锂的成核和生长。多个成核位点(CoO和Ni)的协同作用,结合导电的3D框架,提供了丰富的亲锂位点和稳定的离子运输途径,实现了均匀的锂沉积和抑制枝晶的形成。因此,无阳极CC@Ni/CoO||LFP全电池在2C下保持1000次循环的稳定性能,容量保持率高达91.88%。通过实现合理的接口设计,这项工作为实现未来的高能量密度存储技术提供了重要的希望。
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引用次数: 0
Peptide–Protein Docking: From Physics-Based Models to Generative Intelligence 肽-蛋白对接:从基于物理的模型到生成智能
IF 4.9 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2026-03-18 DOI: 10.1039/d6cc00583g
Kai Ling, Shu Li, Zicong Zhang, Woong-Hee Shin, Daisuke Kihara
Peptide–protein interactions (PepPIs) play a pivotal role in cellular signaling and regulation, representing a significant category of therapeutic agents. However, determining peptide–protein complex structures by experiment is costly and often challenging. Computational peptide-protein complex structure prediction, therefore, plays an important role in mapping binding modes and guiding design. Classical pipelines combine template-, local-, or global-docking conformational search algorithms with physics-based or empirical scoring, but they often struggle with highly flexible peptides, induced fit at shallow interfaces, and non-canonical chemistries. In this review, we describe an ongoing shift from such conventional search-and-score workflows to deep learning-based pipelines. We categorize the modern methods into three modules: (i) approaches that predict likely peptide-binding regions on the protein surface and use these predictions to guide or filter docking models; (ii) AlphaFold-based protocols that use general structure prediction methods for peptide–protein co-folding and refinement; and (iii) deep generative models that sample peptide conformations given a target protein structure. We highlight that recent methods have substantially improved the accuracy and applicability of peptide–protein docking, while also identifying shared remaining challenges, including limited avaiability of training data and weak performance on long, disordered, or chemically modified peptides. We conclude by outlining directions for integrating richer biophysical constraints, better-curated peptide–protein datasets, and large-scale generative models to move toward robust, design-ready peptide docking.
肽-蛋白相互作用(PepPIs)在细胞信号传导和调控中起着关键作用,是一类重要的治疗药物。然而,通过实验确定肽-蛋白复合物结构是昂贵的,而且往往具有挑战性。因此,计算肽-蛋白复合物的结构预测在绘制结合模式和指导设计中起着重要的作用。经典的管道将模板、局部或全局对接构象搜索算法与基于物理或经验的评分相结合,但它们经常与高度灵活的肽、浅层界面诱导拟合和非规范化学相斗争。在这篇综述中,我们描述了从传统的搜索和评分工作流程到基于深度学习的管道的持续转变。我们将现代方法分为三个模块:(i)预测蛋白质表面可能的肽结合区域的方法,并使用这些预测来指导或过滤对接模型;(ii)基于alphafold的协议,使用一般结构预测方法进行肽-蛋白共折叠和细化;(iii)对给定目标蛋白结构的肽构象进行采样的深度生成模型。我们强调,最近的方法已经大大提高了肽-蛋白对接的准确性和适用性,同时也发现了共同的挑战,包括训练数据的有限可用性以及在长肽、无序肽或化学修饰肽上的弱性能。最后,我们概述了整合更丰富的生物物理约束、更好的肽-蛋白数据集和大规模生成模型的方向,以实现健壮的、设计就绪的肽对接。
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引用次数: 0
Nanoporous BNC network on Au(111) from a borazine-based arylalkyne. 硼嗪基芳基炔上Au(111)的纳米孔BNC网络。
IF 4.2 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2026-03-18 DOI: 10.1039/d5cc07416a
Carolina M Ibarra-Barreno, Martina Crosta, Joel Deyerling, Alida J van Hunnik, Knud Seufert, Davide Bonifazi, Willi Auwärter, Petra Rudolf

On Au(111), an alkyne-terminated borazine derivative undergoes thermally induced cyclotrimerisation, forming nanoporous boron-nitrogen-carbon networks featuring regular BN-doped patterns, with borazine cores preserved during the reaction as characterised by scanning tunnelling microscopy (STM) and X-ray photoelectron spectroscopy (XPS).

在Au(111)上,一种末端为炔的硼嗪衍生物经过热诱导的环三聚化反应,形成具有规则bn掺杂模式的纳米多孔硼氮碳网络,在反应过程中保留了硼嗪核,通过扫描隧道显微镜(STM)和x射线光电子能谱(XPS)进行了表征。
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引用次数: 0
Interface modulation boosts the nitrate reduction performance of iron-based catalysts. 界面调制提高了铁基催化剂的硝酸还原性能。
IF 4.2 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2026-03-18 DOI: 10.1039/d6cc00723f
Jianlong Ma, Jiahao An, Yunpeng Zuo, Huimin Jia, Wenbiao Zhang, Tingting Li

A carbon-nitrogen (CN) interface modification strategy was applied to iron-based catalysts for electrocatalytic nitrate reduction. The unique interface interactions resulted in enhanced NH3 selectivity with a Faradaic efficiency of 97.2%.

采用碳氮(CN)界面改性策略对铁基催化剂进行电催化还原硝酸。独特的界面相互作用提高了NH3的选择性,法拉第效率为97.2%。
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引用次数: 0
D●–A Radicals Fabricated from Polychlorinated Trityl and Pyridinium Featuring a SOMO–LUMO Electronic Transition 多氯三烷基与吡啶合成具有SOMO-LUMO电子跃迁特性的D●a自由基
IF 4.9 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2026-03-18 DOI: 10.1039/d6cc00928j
Jingwen Li, Ziqi Zhang, Zenghui Li, Jing Wang, Changyuan Xu, Jie Xiong, Ling Yue, Bin Rao
D–A radicals 2a–2c were developed by combining a polychlorinated trityl as donor with a pyridinium as acceptor. The electron-deficient nature of the pyridinium unit significantly lowers LUMO energy, thereby enabling SOMO–LUMO (α-type) electronic transition, in contrast to conventional luminescent radicals that predominantly exhibit HOMO–SUMO (β-type) transition.
以多氯三甲基为供体,吡啶为受体合成D●-A自由基2a-2c。与传统发光自由基主要表现出HOMO-SUMO (β型)跃迁不同,吡啶单元的缺电子特性显著降低了LUMO能量,从而实现了SOMO-LUMO (α型)电子跃迁。
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引用次数: 0
1,4-Bromoboration of Nitroalkenes 硝基烯的1,4-溴化反应
IF 4.9 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2026-03-17 DOI: 10.1039/d6cc01239f
Kanika Vashisth, Caleb Daniel Martin
The selective 1,4-bromoboration of nitroalkenes occurs under mild conditions with a bromoborane featuring two 1-methyl-ortho-carborane substituents, BrBMeoCb2. The bromide is introduced on the β-carbon and the boryl moiety on the nitro group is bound to boron in a κ2 manner. Screening a variety of other haloboranes gave either no reaction or indiscernible mixtures indicating the necessity for the BrBMeoCb2 reagent. The haloboration reaction tolerates a variety of aryl functional groups as well as a hydrogen or methyl group on the α-carbon that all proceed with excellent regioselectivity and high isolated yields.
硝基烯烃的选择性1,4-溴代溴化反应发生在温和条件下,溴代硼烷具有两个1-甲基-邻碳硼烷取代基BrBMeoCb2。溴被引入到β-碳上,硝基上的硼基部分以κ2方式与硼结合。筛选各种其他卤硼烷,要么没有反应,要么无法识别混合物,表明BrBMeoCb2试剂的必要性。卤代烃化反应可以耐受各种芳基官能团以及α-碳上的氢或甲基,它们都具有优异的区域选择性和高分离收率。
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引用次数: 0
A mechanochemical construction of C-P bonds through radical-radical coupling. 通过自由基-自由基偶联的C-P键的机械化学结构。
IF 4.2 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2026-03-17 DOI: 10.1039/d6cc00876c
Ruizhi Sun, Juxin Jiang, Wenhao Li, Zengdian Zhao, Dong Liu, Hui Liu, Lizhi Zhang

Aryl phosphorus compounds are indispensable motifs in organic synthesis, medicinal, and materials chemistry. Herein, we report a robust magnesium-mediated mechanochemical protocol for the room-temperature synthesis of aryl phosphine oxides through direct C-P bond formation. The reaction employs phosphoryl chlorides with aryl or alkyl halides under solvent-minimized milling conditions, providing a broad range of products in moderate to high yields. Preliminary mechanistic investigations suggest that the transformation proceeds through a radical-radical cross-coupling pathway.

芳基磷化合物是有机合成、药物和材料化学中不可缺少的基元。在此,我们报告了一个强大的镁介导的机械化学方案,通过直接C-P键形成室温合成芳基膦氧化物。该反应使用磷酰氯与芳基或烷基卤化物在溶剂最小化的研磨条件下,提供广泛的产品在中高收率。初步的机理研究表明,这种转化是通过自由基-自由基交叉耦合途径进行的。
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引用次数: 0
A novel directed evolution platform for engineering chemically gated protein switches. 一个新的定向进化平台,用于工程化学门控蛋白开关。
IF 4.2 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2026-03-17 DOI: 10.1039/d5cc06861d
Luis A Vázquez-Rivera, Jiaqi Shen, Gwendolyn Shingles, Guanwei Zhou, Wenjing Wang

Chemically gated protein switches have broad applications in regulating cellular activities. In this study, we introduce DuoSelect, a yeast surface selection platform for selecting protein switches based on signal-to-background ratios by combining both negative and positive selections in a single round of sorting. We demonstrate this platform's utility by selecting for two chemical-dependent protein switches and showcase the protein switch's application in cellular assays.

化学门控蛋白开关在调节细胞活动方面有着广泛的应用。在这项研究中,我们介绍了DuoSelect,这是一个酵母表面选择平台,通过在单轮分类中结合阴性和阳性选择,根据信号与背景比选择蛋白质开关。我们通过选择两个化学依赖的蛋白质开关来展示该平台的实用性,并展示蛋白质开关在细胞分析中的应用。
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引用次数: 0
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Chemical Communications
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