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Electrochemical Kinetic Fingerprinting of Single-Molecule Cooridations in the Confined Nanopores 封闭纳米孔中单分子共沉淀的电化学动力学指纹图谱
IF 3.4 3区 化学 Q2 CHEMISTRY, PHYSICAL Pub Date : 2024-06-19 DOI: 10.1039/d4fd00133h
Chaonan Yang, Wei Liu, Haotian Liu, Jichang Zhang, Yi-Tao Long, Yi-Lun Ying
Metal centers are essential for enzyme catalysis, stabilizing the active site, facilitating electron transfer, and maintaining the structure through coordination with amino acids. In this study, K238H-AeL nanopores with histidine sites were designed for the first time as single-molecule reactors for the measurement of single-molecule coordination reactions. The coordination mechanism of Au(Ⅲ) with histidine and glutamate in nano-confined biological nanopores was explored. Specifically, Au(Ⅲ) interacts with the nitrogen (N) atom in the histidine imidazole ring of the K238C-AeL nanopore and the oxygen (O) atom in glutamate to form a stable K238H-Au-Cl2 complex. The formation mechanism of this complex was further validated through single-molecule nanopore analysis, mass spectrometry, and molecular dynamics simulations. By introducing histidine and glutamic acid into different positions within the nanopore revealed that the formation of the histidine-Au coordination bond in the confined space requires a distance within 2.5 Å between the ligand and the central metal atom. By analyzing the association and dissociation rates of single Au(Ⅲ) ions under the applied voltages, it was found that a confined nanopore increased the bonding rate of Au(Ⅲ)-Histidine coordination reactions by around 105 times compared to the bulk solution, and the optimal voltage for single-molecule coordination., providing valuable insights for designing reaction pathways in electrochemical catalysis. This research revealed a novel mechanism for metal coordination and amino acid residues in protein nanoconfined space, highlighting the dynamic interactions between metal ions and amino acid residues and the importance of the confined effect, providing insights for developing efficient, eco-friendly electrocatalytic nanomaterials.
金属中心对酶催化至关重要,它能稳定活性位点、促进电子转移,并通过与氨基酸的配位维持结构。本研究首次设计了具有组氨酸位点的 K238H-AeL 纳米孔作为单分子反应器,用于测量单分子配位反应。研究探讨了组氨酸和谷氨酸在纳米生物纳米孔中的配位机制。具体而言,金(Ⅲ)与 K238C-AeL 纳米孔中组氨酸咪唑环上的氮(N)原子和谷氨酸中的氧(O)原子相互作用,形成稳定的 K238H-Au-Cl2 复合物。通过单分子纳米孔分析、质谱分析和分子动力学模拟,进一步验证了该复合物的形成机制。通过在纳米孔内的不同位置引入组氨酸和谷氨酸,发现在封闭空间内形成组氨酸-金配位键需要配体与中心金属原子之间的距离在 2.5 Å 以内。通过分析单个 Au(Ⅲ)离子在外加电压下的结合和解离速率,发现与大体积溶液相比,密闭纳米孔提高了 Au(Ⅲ)-组氨酸配位反应的成键速率约 105 倍,并找到了单分子配位的最佳电压,为设计电化学催化反应途径提供了宝贵的启示。该研究揭示了金属配位与氨基酸残基在蛋白质纳米封闭空间中的新机制,突出了金属离子与氨基酸残基之间的动态相互作用以及封闭效应的重要性,为开发高效、环保的电催化纳米材料提供了启示。
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引用次数: 0
Temperature-induced mobility in Octacalcium Phosphate impacts crystal symmetry: water dynamics studied by NMR crystallography 温度诱导的磷酸八钙流动性对晶体对称性的影响:核磁共振晶体学研究的水动力学
IF 3.4 3区 化学 Q2 CHEMISTRY, PHYSICAL Pub Date : 2024-06-19 DOI: 10.1039/d4fd00108g
Adam Nelson, Wassilios Papawassiliou, Subhradip Paul, Sabine Hediger, Ivan Hung, Zhehong Gan, Amrit Venkatesh, W. Trent Trent Franks, Mark Edmund E Smith, David Gajan, Gaël De Paëpe, Christian Bonhomme, Danielle Laurencin, Christel Gervais
Octacalcium phosphate (OCP, Ca8(PO4)4(HPO4)2.5H2O) is a notable calcium phosphate due to its biocompatibility, making it a widely studied material for bone substitution. It is known to be a precursor of bone mineral, but its role in biomineralisation remains unclear. While the structure of OCP has been the subject of thorough investigations (including using Rietveld refinements of X-ray diffraction data, and NMR crystallography studies), important questions regarding the symmetry and H-bonding network in the material remain. In this study, it is shown that OCP undergoes a lowering of symmetry below 200 K, evidenced by 1H, 17O, 31P and 43Ca solid state NMR experiments. Using ab-initio molecular dynamics (MD) simulations and Gauge Including Projected Augmented Wave (GIPAW) DFT calculations of NMR parameters, the presence of rapid motion of the water molecules in the crystal cell at room temperature is proved. This information leads to an improved description of the OCP structure at both low and ambient temperatures, and helps explain long-standing issues of symmetry. Remaining challenges related to the understanding of the structure of OCP are then discussed.
磷酸八钙(OCP,Ca8(PO4)4(HPO4)2.5H2O)因其生物相容性而成为一种著名的磷酸钙,也因此成为一种被广泛研究的骨替代材料。众所周知,它是骨矿物质的前体,但其在生物矿化中的作用仍不清楚。虽然对 OCP 的结构进行了深入研究(包括使用 X 射线衍射数据的里特维尔德细化和核磁共振晶体学研究),但有关该材料的对称性和 H 键网络的重要问题仍然存在。本研究表明,OCP 在 200 K 以下会发生对称性降低的现象,1H、17O、31P 和 43Ca 固态核磁共振实验证明了这一点。利用非原位分子动力学(MD)模拟和 NMR 参数的量规包括投影增强波(GIPAW)DFT 计算,证明了在室温下晶胞中存在水分子的快速运动。这一信息改进了对 OCP 结构在低温和常温下的描述,并有助于解释长期存在的对称性问题。随后讨论了在理解 OCP 结构方面仍然存在的挑战。
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引用次数: 0
Revealing the Diverse Electrochemistry of Nanoparticles with Scanning Electrochemical Cell Microscopy 利用扫描电化学细胞显微镜揭示纳米粒子的多样化电化学特性
IF 3.4 3区 化学 Q2 CHEMISTRY, PHYSICAL Pub Date : 2024-06-17 DOI: 10.1039/d4fd00115j
Lachlan Gaudin, Cameron Luke Bentley
The next generation of electroactive materials will depend on advanced nanomaterials, such as nanoparticles (NPs) for improved function and reduced cost. As such, the development of structure-function relationships for these NPs has become a prime focus for researchers from many fields, including materials science, catalysis, energy storage, photovoltaics, environmental/biomedical sensing, etc. The technique of scanning electrochemical cell microscopy (SECCM) has naturally positioned itself as a premier experimental methodology for the investigation of electroactive NPs, due to its unique capability to encapsulate individual, spatially distinct entities, and to apply a potential to (and measure the resulting current of) single-NPs. Over the course of conducting these single-NP investigations, a number of unexpected (i.e. rarely-reported) results have been collected, including fluctuating current responses, and carrying of the NP by the SECCM probe, hypothesised to be due to insufficient NP-surface interaction. Additionally, locations with measurable electrochemical activity have been found to contain no associated NP, and conversely locations with no activity have been found to contain NPs. Through presenting and discussing these findings, this article seeks to highlight the complications associated with single-NP SECCM measurements in order to endorse the broad inclusivity of data.
下一代电活性材料将依赖于先进的纳米材料,如纳米粒子(NPs)来提高功能和降低成本。因此,开发这些 NPs 的结构-功能关系已成为材料科学、催化、能量存储、光伏、环境/生物医学传感等多个领域研究人员的首要关注点。扫描电化学细胞显微镜 (SECCM) 技术由于其独特的封装单个空间不同实体的能力,以及对单个 NPs 施加电势(并测量由此产生的电流)的能力,自然而然地成为研究电活性 NPs 的主要实验方法。在进行这些单 NP 研究的过程中,收集到了许多意想不到的(即很少报道的)结果,包括波动电流响应,以及 SECCM 探针携带 NP(假设是由于 NP 与表面相互作用不足)。此外,还发现具有可测量电化学活性的位置不包含相关的 NP,反之,没有活性的位置也包含 NP。通过介绍和讨论这些发现,本文试图强调与单 NP SECCM 测量相关的复杂性,以认可数据的广泛包容性。
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引用次数: 0
Speciation and dipole re-orientation dynamics of glass-forming liquid electrolytes: Li[N(SO2CF3)2] mixtures of 1,3-propanesultone or tetrahydrothiophene-1,1-dioxide. 玻璃态液体电解质的种类和偶极子重新定向动力学:1,3-丙磺酸或 1,1-二氧化四氢噻吩的 Li[N(SO2CF3)2] 混合物。
IF 3.4 3区 化学 Q2 CHEMISTRY, PHYSICAL Pub Date : 2024-06-10 DOI: 10.1039/d4fd00050a
Yasuhiro Umebayashi, Erika Otani, Hikari Watanabe, Jihae Han
Recently new ionic fluids such as super-concentrated electrolyte solutions, solvated ionic liquids and deep eutectic solvents attracted much attention in the field of the liquid electrolyte for the next generation electrochemical devices and processes. Basic composition of these new ionic fluids is similar among them; a large/excess amount of salt and solvent, though the solvent is sometime solid at ambient temperature. Here, we found and demonstrated LiTSFA (TFSA = (CF3SO2)2N-) mixtures of of 1,3-propanesultone (PS) or tetrahydrothiophene-1,1-dioxide (SL) yield a homogeneous liquid at room temperature at wide range of composition. In order to clarify unique high Li+ transference number in these mixtures, speciation and dipole reorientation dynamics were studied for these mixtures to be evident large scale size aggregates formation in these mixtures.
最近,超浓缩电解质溶液、溶解离子液体和深共晶溶剂等新型离子液体在下一代电化学设备和工艺的液态电解质领域引起了广泛关注。这些新型离子液体的基本成分相似,都含有大量/超量的盐和溶剂,但溶剂在常温下有时是固体。在这里,我们发现并证明了 LiTSFA(TFSA = (CF3SO2)2N-)与 1,3-丙磺酸内酯(PS)或四氢噻吩-1,1-二氧化物(SL)的混合物在室温下会产生成分范围很广的均匀液体。为了弄清这些混合物中独特的高锂离子转移数量,研究了这些混合物中锂离子的种类和偶极子重新定向动力学,以证明在这些混合物中形成了大尺度的聚集体。
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引用次数: 0
Retuning the potential of the electrochemical leaf. 重新调整电化学叶片的电位。
IF 3.4 3区 化学 Pub Date : 2024-06-07 DOI: 10.1039/d4fd00020j
Marta M Dolińska, Adam J Kirwan, Clare F Megarity

The electrochemical leaf enables the electrification and control of multi-enzyme cascades by exploiting two discoveries: (i) the ability to electrify the photosynthetic enzyme ferredoxin NADP+ reductase (FNR), driving it to catalyse the interconversion of NADP+/NADPH whilst it is entrapped in a highly porous, metal oxide electrode, and (ii) the evidence that additional enzymes can be co-entrapped in the electrode pores where, through one NADP(H)-dependent enzyme, extended cascades can be driven by electrical connection to FNR, via NADP(H) recycling. By changing a critical active-site tyrosine to serine, FNR's exclusivity for NADP(H) is swapped for unphosphorylated NAD(H). Here we present an electrochemical study of this variant FNR, and show that in addition to the intended inversion of cofactor preference, this change to the active site has altered FNR's tuning of the flavin reduction potential, making it less reductive. Exploiting the ability to monitor the variant's activity with NADP(H) as a function of potential has revealed a trapped intermediate state, relieved only by applying a negative overpotential, which allows catalysis to proceed. Inhibition by NADP+ (very tightly bound) with respect to NAD(H) turnover was also revealed and interestingly, this inhibition changes depending on the applied potential. These findings are of critical importance for future exploitation of the electrochemical leaf.

电化学叶通过利用两项发现,实现了多酶级联的电化和控制:(i)能够使光合作用酶铁氧还蛋白 NADP+ 还原酶(FNR)通电,当它被包裹在高孔隙金属氧化物电极中时,驱动它催化 NADP+/NADPH 的相互转化;(ii)有证据表明,电极孔隙中可以共同包裹其他酶,通过一种依赖 NADP(H)的酶,通过 NADP(H)的循环,与 FNR 通电连接,驱动扩展级联。通过将一个关键的活性位点酪氨酸转变为丝氨酸,FNR 对 NADP(H)的专一性就被非磷酸化的 NAD(H)所取代。在这里,我们对这种变体 FNR 进行了电化学研究,结果表明,除了预期的辅因子偏好反转外,活性位点的这种变化还改变了 FNR 对黄素还原电位的调节,使其还原性降低。利用监测变体在 NADP(H)作用下的活性与电位的函数关系的能力揭示了一种受困的中间状态,只有施加负过电位才能缓解这种状态,从而使催化作用得以继续进行。此外,还发现了 NADP+(与 NAD(H)紧密结合)对 NAD(H)周转的抑制作用,有趣的是,这种抑制作用会随着施加的电位而变化。这些发现对于未来利用电化学叶片至关重要。
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引用次数: 0
Non-sticky SiNx nanonets for single protein denaturation analysis 用于单个蛋白质变性分析的非粘性氮化硅纳米网
IF 3.4 3区 化学 Q2 CHEMISTRY, PHYSICAL Pub Date : 2024-06-07 DOI: 10.1039/d4fd00117f
Yuanhao Wang, Nan An, Bintong Huang, Yueming Zhai
Proteins play crucial roles in nearly all biological activities, with their functional structures deriving from stable folded conformations. Protein denaturation, induced by chemical and physical agents, is a complex process where proteins lose their stable structures, thereby impairing their biological functions. Characterizing protein denaturation at the single-molecule level remains a significant challenge. In this study, we developed non-adhesive silicon nitride nanonets coated with polyethylene glycol to capture individual proteins. We utilized these nanonets to investigate the denaturation of ovalbumin induced by guanidine hydrochloride (Gdn-HCl) and lead chloride. The entire denaturation and renaturation processes of a single ovalbumin molecule were monitored via ionic current measurements through the nanonets. These non-sticky nanonets offer a versatile tool for real-time studies of structural changes during protein denaturation.
蛋白质在几乎所有生物活动中都发挥着至关重要的作用,其功能结构源自稳定的折叠构象。蛋白质变性是一个复杂的过程,在化学和物理因素的诱导下,蛋白质会失去其稳定的结构,从而损害其生物功能。在单分子水平表征蛋白质变性仍然是一项重大挑战。在这项研究中,我们开发了涂有聚乙二醇的非粘性氮化硅纳米网,用于捕捉单个蛋白质。我们利用这些纳米网研究了盐酸胍(Gdn-HCl)和氯化铅诱导的卵清蛋白变性。通过对纳米网的离子电流测量,监测了单个卵清蛋白分子的整个变性和再变性过程。这些非粘性纳米网为实时研究蛋白质变性过程中的结构变化提供了一种多功能工具。
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引用次数: 0
Surveying the scope of aromatic decarboxylations catalyzed by prenylated-flavin dependent enzymes. 探究前黄素依赖酶催化的芳香族脱羧反应的范围。
IF 3.3 3区 化学 Pub Date : 2024-06-05 DOI: 10.1039/d4fd00006d
Anushree Mondal, Pronay Roy, Jaclyn Carrannanto, Prathamesh M Datar, Daniel J DiRocco, Katherine Hunter, E Neil G Marsh

The prenylated-flavin mononucleotide-dependent decarboxylases (also known as UbiD-like enzymes) are the most recently discovered family of decarboxylases. The modified flavin facilitates the decarboxylation of unsaturated carboxylic acids through a novel mechanism involving 1,3-dipolar cyclo-addition chemistry. UbiD-like enzymes have attracted considerable interest for biocatalysis applications due to their ability to catalyse (de)carboxylation reactions on a broad range of aromatic substrates at otherwise unreactive carbon centres. There are now ∼35 000 protein sequences annotated as hypothetical UbiD-like enzymes. Sequence similarity network analyses of the UbiD protein family suggests that there are likely dozens of distinct decarboxylase enzymes represented within this family. Furthermore, many of the enzymes so far characterized can decarboxylate a broad range of substrates. Here we describe a strategy to identify potential substrates of UbiD-like enzymes based on detecting enzyme-catalysed solvent deuterium exchange into potential substrates. Using ferulic acid decarboxylase (FDC) as a model system, we tested a diverse range of aromatic and heterocyclic molecules for their ability to undergo enzyme-catalysed H/D exchange in deuterated buffer. We found that FDC catalyses H/D exchange, albeit at generally very low levels, into a wide range of small, aromatic molecules that have little resemblance to its physiological substrate. In contrast, the sub-set of aromatic carboxylic acids that are substrates for FDC-catalysed decarboxylation is much smaller. We discuss the implications of these findings for screening uncharacterized UbiD-like enzymes for novel (de)carboxylase activity.

前黄素单核苷酸依赖性脱羧酶(又称 UbiD 类酶)是最近发现的脱羧酶家族。经过修饰的黄素通过涉及 1,3-二极环加化学的新机制促进不饱和羧酸的脱羧反应。类似 UbiD 的酶在生物催化方面的应用引起了人们相当大的兴趣,因为它们能够在原本没有反应的碳中心催化多种芳香底物的(脱)羧反应。目前有 35 000 个蛋白质序列被注释为假定的 UbiD 类酶。对 UbiD 蛋白家族进行的序列相似性网络分析表明,该家族中可能存在数十种不同的脱羧酶。此外,迄今表征的许多酶可以对多种底物进行脱羧。在这里,我们描述了一种基于检测酶催化的溶剂氘交换潜在底物的策略,以确定 UbiD 类酶的潜在底物。以阿魏酸脱羧酶(FDC)为模型系统,我们测试了各种芳香族和杂环分子在氘化缓冲液中进行酶催化的氢/氘交换的能力。我们发现,尽管FDC催化H/D交换的水平通常很低,但它能将H/D交换转化为多种芳香族小分子,这些分子与其生理底物几乎没有相似之处。相比之下,作为 FDC 催化脱羧作用底物的芳香族羧酸子集要小得多。我们讨论了这些发现对筛选新型(脱)羧酶活性的未表征 UbiD 类酶的影响。
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引用次数: 0
Are we fitting data or noise? Analysing the predictive power of commonly used datasets in drug-, materials-, and molecular-discovery. 我们是在拟合数据还是噪音?分析药物、材料和分子发现中常用数据集的预测能力。
IF 3.4 3区 化学 Pub Date : 2024-06-04 DOI: 10.1039/d4fd00091a
Daniel Crusius, Flaviu Cipcigan, Philip Biggin
Data-driven techniques for establishing quantitative structure property relations are a pillar of modern materials and molecular discovery. Fuelled by the recent progress in deep learning methodology and the abundance of new algorithms, it is tempting to chase benchmarks and incrementally build ever more capable machine learning (ML) models. While model evaluation has made significant progress, the intrinsic limitations arising from the underlying experimental data are often overlooked. In the chemical sciences data collection is costly, thus datasets are small and experimental errors can be significant. These limitations of such datasets affect their predictive power, a fact that is rarely considered in a quantitative way. In this study, we analyse commonly used ML datasets for regression and classification from drug discovery, molecular discovery, and materials discovery. We derived maximum and realistic performance bounds for nine such datasets by introducing noise based on estimated or actual experimental errors. We then compared the estimated performance bounds to the reported performance of leading ML models in the literature. Out of the nine datasets and corresponding ML models considered, four were identified to have reached or surpassed dataset performance limitations and thus, they may potentially be fitting noise. More generally, we systematically examine how data range, the magnitude of experimental error, and the number of data points influence dataset performance bounds. Alongside this paper, we release the Python package NoiseEstimator and provide a web- based application for computing realistic performance bounds. This study and the resulting tools will help practitioners in the field understand the limitations of datasets and set realistic expectations for ML model performance. This work stands as a reference point, offering analysis and tools to guide development of future ML models in the chemical sciences.
建立定量结构属性关系的数据驱动技术是现代材料和分子发现的支柱。近年来,深度学习方法论取得了长足进步,新算法层出不穷,因此,追逐基准并逐步建立能力更强的机器学习(ML)模型很有诱惑力。虽然模型评估已经取得了重大进展,但底层实验数据带来的内在局限性往往被忽视。在化学科学领域,数据收集成本很高,因此数据集很小,实验误差可能很大。这些数据集的局限性影响了它们的预测能力,而这一事实却很少得到定量考虑。在本研究中,我们分析了药物发现、分子发现和材料发现中用于回归和分类的常用 ML 数据集。通过引入基于估计或实际实验误差的噪声,我们得出了九个此类数据集的最大和实际性能界限。然后,我们将估计的性能边界与文献中报道的主要 ML 模型的性能进行了比较。在考虑的九个数据集和相应的 ML 模型中,我们发现有四个已经达到或超过了数据集的性能限制,因此,它们有可能是拟合噪声。更广泛地说,我们系统地研究了数据范围、实验误差的大小和数据点的数量如何影响数据集的性能界限。在发表这篇论文的同时,我们还发布了 Python 软件包 NoiseEstimator,并提供了一个基于网络的应用程序,用于计算现实的性能边界。这项研究和由此产生的工具将帮助该领域的从业人员了解数据集的局限性,并对 ML 模型的性能设定切合实际的期望值。这项工作可作为一个参考点,为指导化学科学领域未来 ML 模型的开发提供分析和工具。
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引用次数: 0
Spiers Memorial Lecture: From Cold to Hot, The Structure and Structural Dynamics of Dense Ionic Fluids 斯皮尔斯纪念讲座:从冷到热,致密离子液体的结构和结构动力学
IF 3.4 3区 化学 Pub Date : 2024-06-04 DOI: 10.1039/d4fd00086b
Matthew S. Emerson, Raphael Ogbodo, Claudio Javier Margulis
The structure of ionic liquids (ILs), which a decade or two ago was the subject of polite but heated debate, is now much better understood. This has opened opportunities to ask more sophisticated questions about the role of structure in transport, the structure of systems with ions that are not prototypical, and the similarity between ILs and other dense ionic fluids such as the high-temperature inorganic molten salts; let alone the fact that new areas of research have emerged that sprung from our collective understanding of the structure of ILs such as the deep eutectic solvents, the polymerized ionic liquids, and the zwitterionic liquids. Yet, our understanding of the structure of prototypical ILs may not be as complete as we think it to be, given that recent experiments appear to show that in some cases there may be more than one liquid phase resulting in liquid-liquid (L-L) phase transitions. This article presents a perspective on what we think are key topics related to the structure and structural dynamics of ILs and to some extent high-temperature molten salts.
离子液体(ILs)的结构在一二十年前还是人们礼貌但激烈争论的主题,而现在人们对它的了解已经深入了许多。这为我们提出更复杂的问题提供了机会,如结构在传输中的作用、非典型离子体系的结构、离子液体与其他致密离子液体(如高温无机熔盐)之间的相似性等;更不用说我们对离子液体结构的集体理解还催生了新的研究领域,如深共晶溶剂、聚合离子液体和齐聚离子液体。然而,我们对原型液相结构的理解可能并不像我们想象的那么全面,因为最近的实验似乎表明,在某些情况下,液相可能不止一种,从而导致液-液(L-L)相变。本文将从我们认为与液相-液相(在一定程度上也包括高温熔盐)的结构和结构动力学有关的关键课题的角度进行阐述。
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引用次数: 0
A Combined 7Li NMR, Density Functional Theory and Operando Synchrotron X-Ray Powder Diffraction to Investigate a Structural Evolution of Cathode Material LiFeV2O7 结合 7Li NMR、密度泛函理论和 Operando 同步 X 射线粉末衍射研究阴极材料 LiFeV2O7 的结构演化
IF 3.4 3区 化学 Pub Date : 2024-06-03 DOI: 10.1039/d4fd00077c
Taiana L.E. Pereira, Jon Serrano-Sevillano, Beatriz Diaz Moreno, Joel Reid, Dany Carlier, Gillian Goward
In our recent study, we demonstrated using 7Li solid-state Nuclear Magnetic Resonance (ssNMR) and single-crystal X-ray diffraction, that the cathode LiFeV2O7 possesses a defect associated with the positioning of vanadium atoms. We proposed that this defect could be the source of extra signals detected in the 7Li NMR spectra. In this context, we now apply density functional theory (DFT) calculations to assign the experimental signals observed in 7Li NMR spectra of the pristine sample. The calculation results are in strong agreement with the experimental observations. DFT calculations are a useful tool to interpret the observed paramagnetic shifts and understand how the presence of disorder affects the spectra behavior through the spin-density transfer processes. Furthermore, we conducted a detailed study of the lithiated phase combining operando synchrotron powder X-ray diffraction (SPXRD) and DFT calculations. A noticeable volume expansion is observed through the first discharge cycle which likely contributes to the enhanced lithium dynamics in the bulk material, as supported by previously published ssNMR data. DFT calculations are used to model the lithiated phase and demonstrate that both iron and vanadium participate in the redox process. The unusual electronic structure of the V4+ -exhibits a single electron on the 3dxy orbital perpendicular to the V-O-Li bond being a source of a negative Fermi contact shift observed in the 7Li NMR of the lithiated phase.
在最近的研究中,我们利用 7Li 固态核磁共振(ssNMR)和单晶 X 射线衍射证明,阴极 LiFeV2O7 存在与钒原子定位相关的缺陷。我们提出,这一缺陷可能是 7Li NMR 光谱中检测到的额外信号的来源。在这种情况下,我们现在应用密度泛函理论(DFT)计算来分配在原始样品的 7Li NMR 光谱中观察到的实验信号。计算结果与实验观察结果非常吻合。DFT 计算是一种有用的工具,可用于解释观察到的顺磁性偏移,并了解无序的存在如何通过自旋密度转移过程影响光谱行为。此外,我们还结合操作同步辐射粉末 X 射线衍射 (SPXRD) 和 DFT 计算对石化相进行了详细研究。在第一个放电周期中,我们观察到了明显的体积膨胀,这很可能是块体材料中锂动力学增强的原因,之前公布的 ssNMR 数据也证明了这一点。DFT 计算用于建立锂化相模型,并证明铁和钒都参与了氧化还原过程。V4+ 不寻常的电子结构在垂直于 V-O-Li 键的 3dxy 轨道上显示出一个电子,这是在锂化相的 7Li NMR 中观察到的负费米接触位移的来源。
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引用次数: 0
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