Specific Coordination Research Articles

Memory enhancement by transcranial radiofrequency wave treatment occurs without appreciably increasing brain temperature.

We have previously shown in small studies that full brain Transcranial Radiofrequency Wave Treatment (TRFT) to subjects with Alzheimer's Disease could stop and reverse their cognitive decline. An 8-emitter head device, the "MemorEM", was used in these studies to provide TRFT at 915MHz frequency and power level of 1.6W/kg Specific Absorption Rate (SAR) during daily 1-hour treatments. Although no deleterious side effects during up to 2.5 years of treatment were reported, it is important to rule out the possibility that brain heating will occur during TRFT in humans at a higher power level of 4.0W/kg SAR, which is anticipated for future clinical testing in order to increase treatment intensity/efficacy to deep sub-cortical areas. To examine if brain heating occurs during a single 1-hour treatment at 4W/kg SAR, a hollow human head phantom filled with brain-analogous gel and with an attached MemorEM head device was utilized. Brain temperatures were taken at 64 specific coordinates within the brain gel before and immediately following one-hour of TRFT. Results revealed none of the 64 sites having a temperature increase after TRFT of 1°C or more. Indeed, 45 of the 64 sites exhibited a temperature rise of less than 0.5°C, with just three sites exhibiting an increase between 0.75 and 0.9°C. These results demonstrate that TRFT in a human head phantom that mimics the electromagnetic properties of the human head, does not appreciably increase brain temperature (i.e., is non-thermal) at 915MHz frequency and 4W/kg SAR power level. Thus, TRFT would appear to be safe at 4W/kg for long-term daily treatments.

Hamiltonian formalism for cosmological perturbations: fixing the gauge

Cosmological perturbation theory is an example of a gauge theory, where gauge transformations correspond to changes in the space-time coordinate system. To determine physical quantities, one is free to introduce gauge conditions (i.e. to work with specific space-time coordinates), and such conditions are often used to simplify technical aspects of the calculation or to facilitate the interpretation of the physical degrees of freedom. Some of the prescriptions introduced in the literature are known to fix the gauge only partially, but it is commonly assumed that the remaining gauge degrees of freedom can be fixed somehow. In this work, we show that this is not necessarily the case, and that some of these gauges are indeed pathological. We derive a systematic procedure to determine whether a gauge is pathological or not, and to complete partially-fixed gauges into healthy gauges when this is possible. In this approach, the Lagrange multipliers (i.e. the perturbed lapse and shift in the ADM formalism) cannot appear in the off-shell definition of the gauges, they necessarily arise as on-shell consequences of the gauge conditions. As illustrative applications, we propose an alternative, non-pathological formulation of the synchronous gauge, and we show that the uniform-expansion gauge (as well as any gauge ensuring vanishing lapse perturbations) can hardly be made healthy. Our methodology also allows us to construct all gauge-invariant variables. We further show that our non-pathological criterion for gauges is also the one that ensures Dirac brackets to be properly defined. This allows cosmological perturbations to be quantised in a gauge-fixed way. We finally discuss possible generalisations of our formalism.

Characterization of cold thermosensitive trigeminal neurons that innervate the cornea

Aims/Purpose: To electrophysiologically characterize the populations of thermosensitive trigeminal neurons that innervate the cornea based on their response to cooling.Methods: The activity of trigeminal ganglion neurons was recorded in anesthetized Wistar rats using epoxylite‐insulated W microelectrodes inserted at specific stereotaxic coordinates. Saline drops at different temperatures were instilled on the cornea to change corneal temperature, which was constantly recorded with a high‐speed thermal probe. Spontaneous activity without intended stimulation (background activity, BA) and the peak frequency evoked by cold saline instillation (PA) were recorded and analyzed in 22 corneal cold thermosensitive neurons. Parametric or non‐parametric statistical tests were used as needed.Results: Based on their BA, hierarchical clustering segregated the recorded cold thermoreceptor neurons into two groups: High Background (HB; those with BA equal or higher than 5 imp·s‐1) and Low Background (LB; those with BA lower than 5 imp·s‐1). HB cold thermosensitive neurons robustly increased their firing frequency when detecting mild cold stimuli (), being PA proportionally to ΔT (p < 0.05). For corneal ΔT between ‐1° and ‐14°C, PA of HB was maximal regardless of the stimulus intensity. In LB neurons, PA response increased proportionally to the cold stimulus intensity for ΔT between 0‐1° and ‐14°C, and the response to ΔT ‐3°C was significantly different from basal firing.Conclusions: Two subpopulations of corneal cold sensory neurons have been identified in the ophthalmic branch of the trigeminal ganglion. These neurons, which have high background activity, are sensitive to cold temperatures and can detect small changes in corneal temperature. We propose that these neurons detect the temperature drop between blinks and, in turn, trigger the so‐called spontaneous blink.(Supported by PID2020‐115934RB‐I00 from DOI: MCIN/AEI/10.13039/50110001103, Spain, and CIPROM/2021/48 from Generalitat Valenciana, Spain).

Metal-Independent Correlations for Site-Specific Binding Energies of Relevant Catalytic Intermediates.

Establishing energy correlations among different metals can accelerate the discovery of efficient and cost-effective catalysts for complex reactions. Using a recently introduced coordination-based model, we can predict site-specific metal binding energies (ΔE M) that can be used as a descriptor for chemical reactions. In this study, we have examined a range of metals including Ag, Au, Co, Cu, Ir, Ni, Os, Pd, Pt, Rh, and Ru and found linear correlations between predicted ΔE M and adsorption energies of CH and O (ΔE CH and ΔE O) at various coordination environments for all the considered metals. Interestingly, all the metals correlate with one another under specific surface site coordination, indicating that different metals are interrelated in a particular coordination environment. Furthermore, we have tested and verified for PtPd- and PtIr-based alloys that they follow a similar behavior. Moreover, we have expanded the metal space by taking some early transition metals along with a few s-block metals and shown a cyclic behavior of the adsorbate binding energy (ΔE A) versus ΔE M. Therefore, ΔE CH and ΔE O can be efficiently interpolated between metals, alloys, and intermetallics based on information related to one metal only. This simplifies the process of screening new metal catalyst formulations and their reaction energies.

Covalent organic framework derived single-atom copper nanozymes for the detection of amyloid-β peptide and study ofamyloidogenesis.

Sensitive and accurate detection of theamyloid-β (Aβ) monomer is of fundamental significance for early diagnosis of Alzheimer's disease (AD). Herein, inspired by the specific Cu-Aβ monomer coordination, a cutting-edge colorimetric assay based on single-atom Cu anchored N-doped carbon nanospheres (Cu-NCNSs) was developed for Aβ monomer detection and anamyloidogenesis study. By directly pyrolyzing Cu2+-incorporated covalent organic frameworks (COFs), the resulting Cu-NCNSs with ahighloadingof Cu (8.04 wt %) exhibited outstanding peroxidase-like activity. The strong binding affinity of Aβ monomer to Cu-NCNSs effectively inhibited their catalytic activity, providing the basis for the colorimetric assay. The Cu-NCNSs-based sensor showed a detection limit of 1.182nM for Aβ monomer, surpassing traditional techniques in terms of efficiency, accuracy and simplicity. Moreover, the system was successfully utilized for Aβ monomer detection in rat cerebrospinal fluid (CSF). Notably, the distinct inhibitory effects of monomeric and aggregated Aβ species on the catalytic activity of Cu-NCNSs were allowed for monitoring of the dynamic aggregation process of Aβ. Compared to thioflavin T (ThT), the most widely used amyloid dye, the detection system exhibited greater sensitivity towards toxic Aβ oligomers, which was crucial for early AD diagnosis and treatment. Our work not only sheds light on the rational design of highly active single-atom nanozymes from COFs but also expands the potential applications of nanozymes in early disease diagnosis.

The use of specific coordination behaviours to manage information processing and task distribution in real and simulated trauma teamwork: an observational study

Trauma teams handle severely injured patients under high temporal demands and need to coordinate and achieve collaborative decision-making and task execution through communication. Specific coordination and communication behaviours are taught in simulation training to enhance team performance. An examination of the role and nature of communication could increase the understanding of educational possibilities and assess the validity of in situ simulation on behalf of communication. Our study aim was to describe the relative use of communication within information and task management, the use of coordinating behaviours, and the use of talking to the room and closed-loop communication in in-real-life trauma assessment and in the simulated domain. We video-recorded all verbal communicative events in four real-world trauma teams and four teams during simulation training. The analysis showed that although the teamwork was task-oriented, information management dominated task management at 64% of all the utterances in-real-life and 68% during simulation. In-real-life, information management was dominated by the codes “request information” (24%) and “confirmation” (21%), whereas “task distribution” (43%) was most frequently used for task management. The only difference between domains was that “give information after request” represented a smaller proportion of the utterances in-real-life compared to simulation (p ≤ 0.001). Talking to the room was primarily used by the teams in both domains to provide information without request and to delegate tasks. Closed-loop communication was used at a low frequency, 3.6% in-real-life, but was significantly higher, 7.7%, in simulation training. We suspect that this outcome reflects the Hawthorne effect. In the simulations, greater information delivery was provided in response to questions, probably accounting for instructor information. Our results may be valuable for research on trauma team behaviour in a simulated environment to draw conclusions about similar activities in-real-life.

Intermolecular Interactions in Molecular Ferroelectric Zinc Complexes of Cinchonine

The use of chiral organic ligands as linkers and metal ion nodes with specific coordination geometry is an effective strategy for creating homochiral structures with potential ferroelectric properties. Natural Cinchona alkaloids, e.g., quinine and cinchonine, as compounds with a polar quinuclidine fragment and aromatic quinoline ring, are suitable candidates for the construction of molecular ferroelectrics. In this work, the compounds [CnZnCl3]·MeOH and [CnZnBr3]·MeOH, which crystallize in the ferroelectric polar space group P21, were prepared by reacting the cinchoninium cation (Cn) with zinc(II) chloride or zinc(II) bromide. The structure of [CnZnBr3]·MeOH was determined from single-crystal X-ray diffraction analysis and was isostructural with the previously reported chloride analog [CnZnCl3]·MeOH. The compounds were characterized by infrared spectroscopy, and their thermal stability was determined by thermogravimetric analysis and temperature-modulated powder X-ray diffraction experiments. The intermolecular interactions of the different cinchoninium halogenometalate complexes were evaluated and compared.

High-Performance Solid-State Lithium Metal Batteries of Garnet/Polymer Composite Thin-Film Electrolyte with Domain-Limited Ion Transport Pathways.

The integrated approach of interfacial engineering and composite electrolytes is crucial for the market application of Li metal batteries (LMBs). A 22 μm thin-film type polymer/Li6.4La3Zr1.4Ta0.6O12 (LLZTO) composite solid-state electrolyte (LPCE) was designed that combines fast ion conduction and stable interfacial evolution, enhancing lithium metal interface stability and cycling performance. The ether-based molecular coordination groups/clusters formed by triethylene glycol dimethyl ether (TGDE) and anions facilitated the movement of Li+ between the polymer chain segments. These specific coordination clusters significantly "constrained" the interaction between anions and Li+, inducing the anions to follow the clusters to the Li metal and preferentially participate in solid electrolyte interface (SEI) derivatization. The inorganic salt-rich gradient SEI modulates Li+ deposition and inhibits uncontrolled dendrite growth, achieving stable cycling of Li symmetric cell at 0.2 mA cm-2 for over 2000 h. Furthermore, the Li||NCM811 cell at a rate of 0.1 C exhibits an initial discharge capacity of 194.5 mAh g-1, maintaining a capacity retention rate of over 90% after 500 cycles. This work demonstrates the importance of domain-limited ion clusters in ion transport and interfacial evolution, providing a perspective for solid-state LMBs.

Precise Synthesis of Dual-Single-Atom Electrocatalysts through Pre-Coordination-Directed in Situ Confinement for CO2 Reduction.

Dual-single-atom catalysts (DSACs) are the next paradigm shift in single-atom catalysts because of the enhanced performance brought about by the synergistic effects between adjacent bimetallic pairs. However, there are few methods for synthesizing DSACs with precise bimetallic structures. Herein, a pre-coordination strategy is proposed to precisely synthesize a library of DSACs. This strategy ensures the selective and effective coordination of two metals via phthalocyanines with specific coordination sites, such as -F- and -OH-. Subsequently, in situ confinement inhibits the migration of metal pairs during high-temperature pyrolysis, and obtains the DSACs with precisely constructed metal pairs. Despite changing synthetic parameters, including transition metal centers, metal pairs, and spatial geometry, the products exhibit similar atomic metal pairs dispersion properties, demonstrating the universality of the strategy. The pre-coordination strategy synthesized DSACs shows significant CO2 reduction reaction performance in both flow-cell and practical rechargeable Zn-CO2 batteries. This work not only provides new insights into the precise synthesis of DSACs, but also offers guidelines for the accelerated discovery of efficient catalysts.

Precise Synthesis of Dual‐Single‐Atom Electrocatalysts through Pre‐Coordination‐Directed in Situ Confinement for CO2 Reduction

AbstractDual‐single‐atom catalysts (DSACs) are the next paradigm shift in single‐atom catalysts because of the enhanced performance brought about by the synergistic effects between adjacent bimetallic pairs. However, there are few methods for synthesizing DSACs with precise bimetallic structures. Herein, a pre‐coordination strategy is proposed to precisely synthesize a library of DSACs. This strategy ensures the selective and effective coordination of two metals via phthalocyanines with specific coordination sites, such as −F− and −OH−. Subsequently, in situ confinement inhibits the migration of metal pairs during high‐temperature pyrolysis, and obtains the DSACs with precisely constructed metal pairs. Despite changing synthetic parameters, including transition metal centers, metal pairs, and spatial geometry, the products exhibit similar atomic metal pairs dispersion properties, demonstrating the universality of the strategy. The pre‐coordination strategy synthesized DSACs shows significant CO2 reduction reaction performance in both flow‐cell and practical rechargeable Zn‐CO2 batteries. This work not only provides new insights into the precise synthesis of DSACs, but also offers guidelines for the accelerated discovery of efficient catalysts.

Modulation of the cobalt species state on zincosilicate to maximize propane dehydrogenation to propylene

Dispersing metals from nanoparticles into clusters or single atoms often exhibits unique properties such as the inhibition of structure-sensitive side reactions. Here, we reported the use of ion exchange (IE) methods and direct hydrogen reduction to achieve high dispersion of Co species on zincosilicate. The obtained 2Co/Zn-4-IE catalyst achieved an initial propane conversion of 41.4% at a temperature of 550 °C in a 25% propane and 75% nitrogen atmosphere for propane dehydrogenation. Visualization of the presence of Co species within specific rings (alpha-α, beta-β and delta-δ) was obtained by aberration-corrected scanning transmission electron microscopy. A series of Fourier transform infrared spectra confirmed the anchoring of Co by specific hydroxyl groups in zincosilicate and the specific coordination environment of Co and its presence in the rings essentially as a single site. The framework Zn for the modulation of the microenvironment and the presence of Co species as Lewis acid active sites (Co-O4) was also supported by density functional theory calculations.

The influence of sexual dimorphism on the manifestation of coordination abilities of volleyball players aged 15-17

Background and Study Aim. Sexual dimorphism plays a crucial role in the design of training programs for athletes. Therefore, understanding the influence of sexual dimorphism on various abilities is essential for optimizing training regimens. The aim of this study is to determine the influence of sexual dimorphism on the manifestation of coordination abilities in young volleyball players aged 15–17. Material and Methods. Volleyball players aged 15–17 years participated in the study (n=92, training experience – 5–7 years). Fifty of them were girls, and forty-two were boys. Motor tests were used to determine the level of coordination preparedness of the volleyball players. The study assessed kinesthetic differentiation, spatial orientation, reaction, coupling, binding of movements, and balance skills. Statistical data processing was carried out using Microsoft Excel and SPSS programs. Results. For most of the compared indicators of coordination abilities, there was no significant difference between male and female volleyball players aged 15–17 (p>0.05). In the “Shuttle run with back forward” test, which determined the ability of volleyball players to quickly rebuild motor activity, boys outperformed girls by 5.6% (p<0.05). In the “Sprint test with the given rhythm”, boys significantly outperformed girls by 16.6% (p<0.001). However, control exercises that determined the relative indicators of the above qualities did not show a significant difference. No significant differences (p>0.05) were found in the indicators that characterized the subjects' ability to demonstrate balance in both groups. Girls outperformed boys by 4.2% in terms of sagittal displacement of the center of mass. Comparison of the magnitude of latent periods of simple and complex visual-motor reaction by groups did not reveal significant differences among boys and girls. Conclusions. The results of the study indicate the need to implement targeted training programs to address and mitigate gender differences in coordination abilities among young volleyball players. These programs should focus on enhancing specific coordination skills. This approach ensures balanced development. Purposeful sports training can help overcome inherent physiological differences. By doing so, it leverages the benefits of tailored training to promote equality in athletic performance.

An innovative homogeneous electrochemistry coupled with colorimetry dual-model sensing strategy for perfluorooctane sulfonate based on Cu@CuO aerogel nanozyme.

Bypreparing Cu@CuO aerogel as a nanozyme which exhibits prominent peroxidase-like (POD) activity, an innovative homogeneous electrochemistry (HEC) coupled with the colorimetry dual-model sensing strategy is proposed to detect perfluorooctane sulfonate(PFOS) for the first time. Cu@CuO aerogel accelerates the oxidation process of colorless o-phenylenediamine to form yellow 2,3-diaminophenazinc (DAP), and meanwhile, DAP as an electroactive substance creates a reduction peak current upon the electrochemical measurements. Interestingly, in the presence of PFOS, the POD activity of Cu@CuO aerogel isinhibited since the specific coordination between PFOS and Cu(II) can cover the active sites, resulting in the color of the sensing system becoming light and the peak current of DAP decreasing. This innovative dual-mode detection method showed excellent electrochemical detection of PFOS in the concentration range 10.0 ~ 1125.0nM with a limit of detection (LOD) as low as 3.3nM and a LOD of 20.8nM in the colorimetric detection in the range 62.3 ~ 875nM. Furthermore, the sensor was successfully used for the analysis of real samples with an RSD value ≤ 6.5%. The successful application of this two-mode sensing method for the determination of PFOS holds promise for the detection of other contaminants in the future.

Hierarchical pore-enhanced ion transport and defect-induced dual strong interactions for highly efficient lithium extraction

In the past decade, adsorption method has attracted great attention on the lithium extraction. The key issue in adsorption technology is to develop adsorbents with high adsorption capacity, selectivity, and recycle-stability. Here, the highly efficient metal–organic framework adsorbents were developed for lithium extraction, which were fabricated by the in-situ conversion of MIL-121 in alkali solution. The adsorbent after acid activation, termed as H-CAOMIL, was featured with the hierarchical porosity, enhanced density of free carboxylic groups, and exposed aluminum-oxygen defect sites to enhance the ion transport and provide dual strong interaction for Li+. H-CAOMIL exhibited the remarkable Li+ adsorption capacity (QLi+ = 5.28 mg/g) and selectivity (αKLi = 21.33, αNaLi= 9) from low-concentration lithium-containing solutions. Moreover, the H-CAOMIL can be easily regenerated in weakly acidic solution. Impressively, Li+ adsorption capacity retained at 92 % of the initial capacity even after five adsorption–desorption cycles. Furthermore, the comprehensive characterizations and theoretical calculations indicated that the specific coordination of COO-Li and AlO-Li played a crucial role in the recovery capacity and selectivity of Li+. This work offers precious insights for the future exploration of highly efficient adsorbents for lithium extraction.

Position query-guided cross-modal flow field prediction model of a transonic compressor cascade

The gradient of flow parameters in a transonic compressor cascade flow field varies significantly, especially in the region of shock waves, which causes a significant challenge to its high-precision flow field prediction. In this study, the position query-guided cross-modal flow field prediction model (PGCM) is proposed to effectively predict the flow field parameter distribution of a transonic compressor cascade. The PGCM utilizes the self-attention mechanism for the global and deep geometric feature extraction of configurations, which contributes to an in-depth understanding of the spatial relationships between coordinate points within the flow field, accurately capturing and analyzing the structural complexity of a compressor cascade flow. In addition, the PGCM integrates the cross-attention mechanism that establishes correlations between different input sequences, which enhances the performance of the model in querying and interpreting flow parameters at specific coordinates. The flow field prediction models are developed to predict the flow parameter distributions of different cascade geometries at Mach numbers of 0.78 and 0.93, respectively. The validation results indicate that the PGCM performs significantly better than the existing convolutional neural network and vision transformer, especially in the prediction of the pressure coefficient Cp distribution. The PGCM is adaptable to the variation of flow conditions and geometrical configurations efficiently and accurate in predicting the flow field of a compressor cascade. This paper demonstrates the promising potential of conducting the multi-modal information fusion to enhance the capability of flow field prediction.

Alkyl-linked TiO2@COF heterostructure facilitating photocatalytic CO2 reduction by targeted electron transport

Targeted electron transfer to catalytically active site for CO2 reduction is promising for enhancing the efficiency of artificial photosynthesis. Here, we demonstrate a design of an alkyl-linked heterostructure composing of TiO2 and a Cu-porphyrin-based covalent organic framework (TiO2@CuPorTT-COF) for the photoreduction of CO2 with H2O. Through specific coordination effect, the alkyl chain bridges TiO2 and Cu moiety in COF. Upon light illumination, the photoinduced electrons in TiO2 can be directionally transported across the interface along the alkyl chain to the Cu active sites to reduce adsorbed CO2, while the left holes are consumed by the H2O oxidation, enhancing the spatial separation and utilization of electron-hole pairs. Accordingly, the TiO2@CuPorTT-COF enables remarkably superior catalytic activities over the counterpart without the alkyl bridge for electron transfer with 5 times of CO production rate. An apparent quantum efficiency of 0.455% at 380 nm was achieved. Moreover, a dynamic evolution of Cu active site for CO2 reduction is revealed, which can be promoted by the targeting electron transport approach. This work provides a targeted electron transport strategy for constructing photocatalysts.

Constructing Highly Efficient Catalysts for the 1‐Butene Epoxidation

AbstractEpoxides are high‐valued intermediates in the production of chemicals, pharmaceuticals, perfumes, and polymers. Given the growing demand for epoxides, it is imperative to develop more environmental friendly and sustainable routes instead of the chlorohydrin process. Notably, the direct utilization of hydrogen peroxide (H2O2) for the epoxidation reaction presents significant advantages from both environmental and economic perspectives. The review provides insights into both homogeneous and heterogeneous catalysts employed in the 1‐butene epoxidation using the green oxidant H2O2. Among the diverse range of catalysts, titanosilicate‐1 (TS‐1) has garnered extensive attention due to its exceptional selectivity and high oxygen atom utilization. The aim of this review is to illustrate various strategies for TS‐1 catalysts preparation that can lead to more versatile, higher‐performance, and greener epoxidation processes. Additionally, various potential approaches to enhance the catalyst performance of TS‐1 are highlighted, including (i) constructing specific coordination modes of Ti sites, (ii) regulating the microenvironment around Ti sites, and (iii) improving the accessibility of Ti sites. Furthermore, advances in molding TS‐1 catalysts are also introduced from the perspective of the industrialization. Finally, future research directions are discussed with emphasis on the application scope of TS‐1 to gain deeper insights into epoxidation process.

Isomonodromic and isospectral deformations of meromorphic connections: the sl2(C) case

Abstract We consider non-twisted meromorphic connections in sl 2 ( C ) and the associated symplectic Hamiltonian structure. In particular, we provide explicit expressions of the Lax pair in the geometric gauge supplementing results of Marchal et al (2022 arXiv:2212.04833) where explicit formulas have been obtained in the oper gauge. Expressing the geometric Lax matrices requires the introduction of specific Darboux coordinates for which we provide the explicit Hamiltonian evolutions. These expressions allow to build bridges between the isomonodromic deformations and the isospectral ones. More specifically, we propose an explicit change of Darboux coordinates to obtain isospectral coordinates for which Hamiltonians match the spectral invariants. This result solves the issue left opened in Bertola et al (2023 J. Math. Phys. 64 083502) in the case of sl 2 ( C ) .

Regulatory insight for a Zn2Cys6 transcription factor controlling effector-mediated virulence in a fungal pathogen of wheat.

The regulation of virulence in plant-pathogenic fungi has emerged as a key area of importance underlying host infections. Recent work has highlighted individual transcription factors (TFs) that serve important roles. A prominent example is PnPf2, a member of the Zn2Cys6 family of fungal TFs, which controls the expression of effectors and other virulence-associated genes in Parastagonospora nodorum during infection of wheat. PnPf2 orthologues are similarly important for other major fungal pathogens during infection of their respective host plants, and have also been shown to control polysaccharide metabolism in model saprophytes. In each case, the direct genomic targets and associated regulatory mechanisms were unknown. Significant insight was made here by investigating PnPf2 through chromatin-immunoprecipitation (ChIP) and mutagenesis approaches in P. nodorum. Two distinct binding motifs were characterised as positive regulatory elements and direct PnPf2 targets identified. These encompass known effectors and other components associated with the P. nodorum pathogenic lifestyle, such as carbohydrate-active enzymes and nutrient assimilators. The results support a direct involvement of PnPf2 in coordinating virulence on wheat. Other prominent PnPf2 targets included TF-encoding genes. While novel functions were observed for the TFs PnPro1, PnAda1, PnEbr1 and the carbon-catabolite repressor PnCreA, our investigation upheld PnPf2 as the predominant transcriptional regulator characterised in terms of direct and specific coordination of virulence on wheat, and provides important mechanistic insights that may be conserved for homologous TFs in other fungi.

Constructing yeast-modified polypropylene amidoxime membrane toward highly-selective adsorption of U(VI) from seawater

To extract uranium from seawater, the adsorbent needs to have high selectivity for uranium and good hydrophilicity, and could resist biological pollution and prevent Marine microorganisms from blocking chelate sites. For effective uranium extraction, a straightforward crosslinking technique is used to create a highly selective and biofouling-resistant poly(amidoxime) (PAO-Y) membrane. PAO-Y is characterized by FT-IR, SEM, EDS, XPS, BET, WCA and NMR techniques. The effects of solution acidity, concentration, and adsorption time on its adsorption of uranyl ions and vanadyl ions are investigated. The composite material (PAO-Y) exhibits higher selective adsorption and affinity towards U(VI) compared to V(V). In simulated marine environment experiments, the material exhibited an adsorption capacity of 10.39 mg·g−1 for U(Ⅵ), which is five times higher than that for V(V). Furthermore, the adsorption partition constant for U(Ⅵ) is 1.44 × 105 mL·g−1, two orders of magnitude greater than that for V(V). The DFT calculations revealed specific coordination modes between PAO-Y and uranyl/vanadyl ions, elucidating the selective adsorption mechanism of uranium. The pentadentate coordination mode is shown by DFT calculations to be the most stable one. DFT calculations also show that the increase in the number of amino acid groups increases the interaction between the coordinating ligands and uranyl, but decreases the interaction between the coordinating ligands and vanadyl. These findings suggest that PAO-Y effectively enhance the selectivity and affinity towards uranyl ions during uranium extraction from marine environments and may find practical applications. After 15 days of continuous flow of 30 L natural seawater, PAO-Y obtained a total uranium capture capacity of 1.969 mg·g−1 in the fixed-bed adsorption system, making it a suitable candidate for uranium extraction from natural seawater.