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194 results for “Solvent”
Time-Resolved X-ray Phase-Contrast Video Imaging of Continuous Anti-Solvent Crystallisation
<p>X-ray phase-contrast video showing early crystal growth in a continuous anti-solvent crystalliser. Data was collected on the Diamond Light source I13-2 beamline. For further information see the paper:</p> <p>@article{das_pallipurath_leng_wanelik_mcginty_miller_kathyola_chang_al-madhagi_marathae_et<br> al._2020,<br> place={Cambridge},<br> title={Time-Resolved X-ray Phase-Contrast Imaging (XPCI) of Nucleation and Crystal Growth in the Anti-Solvent Crystallization of Lovastatin},<br> DOI={10.26434/chemrxiv.12911168.v1},<br> journal={ChemRxiv},<br> publisher={Cambridge Open Engage},<br> author={Das, Gunjan and Pallipurath, Anuradha and Leng, Joanna and Wanelik, Kazimir<br> and McGinty, John and Miller, Russell and Kathyola, Thokozile and Chang,<br> Sin-Yuen and Al-Madhagi, Laila H. and Marathae, Shashidhara and et<br> al.},<br> year={2020},<br> note={This content is a preprint and has not been peer-reviewed.}<br> }</p>
Simulation Input Data for "Atomic Origins of Biomass Recalcitrance in Organic Solvents"
<p>This is the reduced data behind an upcoming manuscript investigating lignocellulosic interactions in plant secondary wall, when exposed to different organic solvent pretreatment. The data is taken directly from the directory structure that contains both the simulation and analysis, with excluded trajectory files and intermediate products to fit within the zenodo upload limit. The tar command used to generate this tarball was:</p> <pre><code class="language-bash">tar -zcvf lignincelluloseindustrialsolvent.tar.gz --exclude="*BAK" --exclude="*#" --exclude="*xtc" --exclude="*gro" --exclude="*log" --exclude="*[0-9].out" --exclude="*npz" --exclude="*pkl" --exclude="*npy" --exclude="*png" --exclude="*bmim*" --exclude="*old" --exclude="*dcd" --exclude="*tmp" --exclude="*xst" --exclude="*edr" --exclude="*txt" --exclude="*state_prev.cpt" --exclude="*ppm" --exclude="Simulations" FaceDifferences</code></pre> <p>Within the FaceDifferences directory, there are 2 primary subdirectories:</p> <ul> <li><strong>Build </strong>contains the scripts and files to build the individual lignin cellulose in organic solvent molecular systems.</li> <li><strong>NewSolventSimulations</strong> contains the all-atom MD simulation inputs and the analysis scripts (subdirectory <strong>Analysis</strong>)</li> </ul>
Tailoring the Surface Enrichment of a Pt Catalyst in Ionic Liquid Solutions by Choice of the Solvent, DOI: 10.1002/admi.202301085
<p>The so-called buoy-effect, that is, the targeted surface enrichment of a Pt catalyst dissolved in ionic liquids (ILs), is achieved by attaching perfluorinated alkyl chains to the ligand system, which drags the metal complex toward the interface. Using angle-resolved X-ray photoelectron spectroscopy, it is demonstrated how this surface enrichment can be tailored by variation of the solvent IL. In [C<sub>n</sub>C<sub>1</sub>Im][PF<sub>6</sub>] ILs (<em>n</em> = 2, 4, 8), the surface is fully saturated with the complex at 10%<sub>mol</sub> bulk content, while in [C<sub>4</sub>C<sub>1</sub>Im][Tf<sub>2</sub>N] only at 20%<sub>mol</sub> saturation is observed. At low catalyst concentrations of 1%<sub>mol</sub>, where saturation is not yet reached, the enrichment increases with decreasing length of the IL alkyl chain. As a general rule, the degree of surface enrichment decreases with the decrease in surface tension of the solvent IL, that is, in the order [C<sub>2</sub>C<sub>1</sub>Im][PF<sub>6</sub>] > [C<sub>4</sub>C<sub>1</sub>Im][PF<sub>6</sub>] > [C<sub>8</sub>C<sub>1</sub>Im][PF<sub>6</sub>] > [C<sub>4</sub>C<sub>1</sub>Im][Tf<sub>2</sub>N]. In ILs with very low surface tension, enrichment is even suppressed. These results reveal the surface tension of the solvent IL as rational parameter for tailoring the interfacial structure of IL-based catalyst systems, such as supported ionic liquid phase (SILP) catalysis, where the nature of the IL/gas interface is expected to strongly influence the performance of the process.</p>
Supplementary Videos for "Monitoring electrochemical dynamics through single-molecule imaging of hBN surface emitters in organic solvents"
<p><strong>Supplementary Video 1: Out-of-plane emitter control. </strong>The video included is a wide-field view of an hBN flake immersed in acetonitrile while an electrochemical potential of the ITO working electrode is cycled in the three-electrode out-of-plane configuration between +1.5 V and 0 V vs Ag/AgCl. The change in potential induces a change in density of emitters. This data corresponds to a flake used in spectral analysis (data presented in <strong>Fig. 3c–e</strong>). Continuous ~1.6 kW cm<sup>–2</sup> illumination with a 561 nm laser is used. The original images were acquired at a rate of 50.091 ms per frame but here we combined frames to present a lighter video with a lower sampling rate (1 s). The total experiment took 750 seconds, but we present the image stack at a rate of 10 frames per second to make the video only 75 seconds. The scale bar is 5 µm.</p> <p><strong><span>Supplementary Video 2: In-plane emitter control.</span></strong> Here we present a wide-field video of the hBN flake shown in <strong>Figure 4b-d</strong> in between two titanium electrodes. Continuous ~1 kW cm<sup>–2</sup> illumination is used with a 561 nm laser while the polarization of the electrodes is cycled in the two-electrode in-plane configuration, inducing a change in density of emitters correlated with potential. The high-density region follows the negatively charged electrode. The original images were acquired with a 50.091 ms rate, but here we combined frames to present a lighter video with a lower sampling rate (2.5 s). The total experiment took 540 seconds, but we display 5 of the stacked images per second, making make the video around 40 seconds. The scale bar is 5 µm.</p>
The Impact of Feed-Solvent Ratio on Contella Asiatica Extraction Using Microwave-Assisted Extraction (MAE)
<div>This material has presented on 2nd International Conference on Advance Research in Agriculture and Food 2023 in October 25, 2023.</div>
A Comprehensive Approach for the Design of Solvent-based Adhesive Products using Generalized Disjunctive Programming
<p>The files contain all the product design problems implemented in GAMS for this publication.</p> <p>All models are solved in GAMS version 24.8.3 and are run on a single core of a dual 6 core Intel Xeon E5-1660 machine at<br> 3.30 GHz.</p>
Cavity Lasing Characteristics of Thioflavin T and Thioflavin X in Different Solvents and Their Interaction with DNA for the Controlled Reduction of a Light Amplification Threshold in Solid-State Biofilms
Open the record for dataset details and reuse information.
A green solvent enables precursor phase engineering of stable formamidinium lead triiodide perovskite solar cells - Data Availability
<p>A green solvent enables precursor phase engineering of stable formamidinium lead triiodide perovskite solar cells - Data Availability</p>
A green method of extracting and recovering flavonoids from Acanthopanax senticosus using deep eutectic solvents
<p><span>In recent years, green extraction of bioactive compounds from herbal medicines has generated widespread interest. Deep eutectic solvents (DES) have widely replaced traditional organic solvents in the extraction process. In this study, the efficiencies of eight tailor-made DESs in extracting flavonoids from <i>Acanthopanax senticosus</i> (AS) were compared. Response surface methodology (RSM) was employed to optimize the influencing parameters including ultrasonic power, HBA-HBD ratio, water content, solid-liquid ratio, extraction temperature and extraction time. DES composed of glycerol and levulinic acid at a 1:1 ratio was established as the most suitable extraction medium. Optimal conditions were ultrasonic power of 500W, water content of 28%, solid-liquid ratio of 1:18 g·mL<sup>-1</sup>, extraction temperature of 55℃ and extraction time of 73 minutes. The extraction yield of AS total flavonoids reached 23.928±0.071 mg·g<sup>-1</sup>, which was 86.3% and 43.8% higher compared with traditional solvent soak and ethanol reflux extraction methods, respectively. Macroporous resin (D-101, HPD-600, S-8 and AB-8) was used to recover flavonoids from extracts. The AB-8 resin showed higher adsorption/desorption performance, with a recovery rate of total flavonoids of up to 71.56±0.256%. In addition, DES solvent could be efficiently recovered through this process and reused. In summary, ultrasonic-assisted DES combined with the macroporous resin enrichment method is exceptionally effective in extracting flavonoids from AS and provides a promising environmentally friendly and recyclable strategy for flavonoid extraction from natural plant sources.</span></p>
Raw data supporting: Augmenting the Performance of Hydrogenase for Aerobic Photocatalytic Hydrogen Evolution via Solvent Tuning
<p>Raw experimental data supporting the article "Augmenting the Performance of Hydrogenase for Aerobic Photocatalytic Hydrogen Evolution <em>via</em> Solvent Tuning"</p>
Fig. 3 in Stabilization of dhurrin biosynthetic enzymes from Sorghum bicolor using a natural deep eutectic solvent
Fig. 3. NADES-based stabilization of the dhurrin biosynthetic enzymes. A) Illustration of proteoliposomes comprising the POR2B, CYP79A1, CYP71E1 and UGT85B1 reconstituted in liposomes composed of phospholipids extracted from etiolated sorghum seedlings (Metabolon). B) Recovery of activity upon storage of enzymes in NADES and glycerol compared to buffer upon dilution displayed as relative conversion of tyrosine for the Metabolon samples and conversion of cyanohydrin to dhurrin for the UGT85B1 samples. Values are mean of three technical replicates± SD. C) Stability of dhurrin biosynthetic enzymes stored at room temperature in aqueous buffer, NADES and glycerol. Samples were diluted in buffer prior to activity assay. Values are mean of three technical replicates ±SD and fitted to a double exponential decay. D) Bar plot showing relative activity of the enzymes following incubation at various temperatures for 30 min in aqueous buffer, NADES and glycerol. Samples were diluted in buffer prior to activity assay. All values are mean of three independent technical replicates ± SD.
Fig. 2 in Stabilization of dhurrin biosynthetic enzymes from Sorghum bicolor using a natural deep eutectic solvent
Fig. 2. Dhurrin biosynthesis in the presence of different NADESs. A) Etiolated sorghum seedlings used for preparation of microsomes. B) Tyrosine conversion assay in microsomes at different NADES concentrations indicates an optimum at 5% NADES for both glucose:tartrate and glucose:malate. Values are mean of three technical replicates ± SD.
Fig. 1 in Stabilization of dhurrin biosynthetic enzymes from Sorghum bicolor using a natural deep eutectic solvent
Fig. 1. Formation of NADES derived from natural occurring metabolites in plants. A) Chemical structures of D-glucose, tartaric acid, malic acid, choline, glycerol and dhurrin. Mixtures of these metabolites were tested for their ability to form NADES and their potential role in stabilizing the dhurrin biosynthetic enzymes. B) Stoichiometric mixture of glucose and tartrate constitute a NADES with significantly lowered melting point compared to the individual components. C) Biosynthetic pathway of the natural product dhurrin in S. bicolor.
Fig. 6 in Theoretical study on the free radical scavenging potency and mechanism of natural coumestans: Roles of substituent, noncovalent interaction and solvent
Fig. 6. The optimized structures, imaginary frequencies (Þ) and the main parameters of TS for WEL with HOO• radical in water phase (distances and angles are given in angstroms and degree). COU–H → COU + H+ (3.1) • Data availability COU → COU + e (3.2)
Fig. 3 in Theoretical study on the free radical scavenging potency and mechanism of natural coumestans: Roles of substituent, noncovalent interaction and solvent
Fig. 3. NCI plots of 5-O• radical for DMW (left), AUR (center) and FLC (right). Blue regions refer to strong attractive interactions, green regions refer to weak dispersion-based interactions, and red regions refer to repulsive interactions (isovalue = 0.7). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in The phenolic profile extracted from the desiccation-tolerant medicinal shrub Myrothamnus flabellifolia using Natural Deep Eutectic Solvents varies according to the solvation conditions
Fig. 3. Heatmap and dendrogram based on Euclidean distance and Ward's clustering algorithm. FSG = fructose–sucrose–glucose; Glu_ChCl = glucose–choline chloride; Pro_Mal = proline–malic acid; Su_Ca = sucrose–citric acid.
Figure 1 in The phenolic profile extracted from the desiccation-tolerant medicinal shrub Myrothamnus flabellifolia using Natural Deep Eutectic Solvents varies according to the solvation conditions
Figure 1. Principal component analysis scores plot indicating the sample groupings of the different NaDES extracts. This analysis was based only on the putative phenolic compounds. FSG = fructose–sucrose–glucose; Glu_ChCl = glucose– choline chloride; Pro_Mal = proline–malic acid; Su_Ca = sucrose–citric acid.
Fig. 4 in The phenolic profile extracted from the desiccation-tolerant medicinal shrub Myrothamnus flabellifolia using Natural Deep Eutectic Solvents varies according to the solvation conditions
Fig. 4. PCA biplot of the anthocyanins determined by HPLC. FSG = fructose–sucrose–glucose; Glu_ChCl = glucose–choline chloride; Pro_Mal = proline–malic acid; Su_Ca = sucrose–citric acid.
Fig. 5 in The phenolic profile extracted from the desiccation-tolerant medicinal shrub Myrothamnus flabellifolia using Natural Deep Eutectic Solvents varies according to the solvation conditions
Fig. 5. Bar plots showing the concentrations of the anthocyanins detected using HPLC in the different NaDES extracts. Values are based on the mean of three replicates. The error bars represent the standard deviation.
Assessing Sustainability Potential of Spent Lithium-ion Battery Mining using Deep Eutectic Solvents
<p>This dataset provides technical advantages/disadvantages, economic inputs/outputs, and life cycle environmental impacts of solvometallurgy (deep eutectic solvents), pyrometallurgy, and hydrometallurgy systems for critical metals recycling from spent lithium-ion battery.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.