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9 results for “flow synthesis”
Development of an Amine Transaminase-Lipase Cascade for Chiral Amide Synthesis under Flow Conditions
<p>The use of multienzymatic systems has gained increasing attention as a method of choice for complex (asymmetric) syntheses. Incompatibilities between substrates, reagents and/or enzymes in one-pot batch conditions can hamper the applicability of a pursued cascade, so the use of flow systems provide useful synthetic solutions. The implementation of immobilised enzymes in continuous flow reactors allows the compartmentalisation and segregation of the enzymes in separate reactors, leading to otherwise disfavoured reaction cascades. Here, an amine transaminase and a lipase have been immobilised on polymer-coated controlled porosity glass carrier materials and studied for the first time together in the transamination of a prochiral ketone followed by acylation of the corresponding chiral amine in flow mode, two incompatible transformations under batch. Thus, the preparation of (<em>R</em>)-<em>N</em>-(1-phenoxypropan-2-yl)acetamide was accomplished after optimisation of the reaction conditions.</p>
Merging Flow Synthesis and Enzymatic Maturation to Expand the Chemical Space of Lasso Peptides
<p>LC-MS, UHPLC, and LC-IM-MS data of the corresponding publication</p>
Continuous-Flow Synthesis of BiVO4 Nanoparticles: From laboratory scale to practical systems
<p>#Data set of "Continuous-Flow Synthesis of BiVO4 Nanoparticles: From laboratory scale to practical systems"</p> <p>---</p> <p>## GENERAL INFORMATION</p> <p>1. Data set title: "Continuous-Flow Synthesis of BiVO4 Nanoparticles: From laboratory scale to practical systems"</p> <p>2.Authorship: <br> Name: Christian Robles<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0003-1166-2950</p> <p> Name: Laura Montañés<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0002-1076-013X <br> <br> Name: Camilo A. Mesa<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0002-8450-2563</p> <p> Name:Diego Iglesias <br> Institution: institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0002-4030-5816</p> <p> Name: Helena Rabelo<br> Institution: Catalan Institute of Nanoscience and Nanotechnology (ICN2) and BIST, Campus UAB, Ballaterra, 08193, Barcelona, Spain<br> ORCID: 0000-0002-7773-3929</p> <p> Name: Maria Chiara Spadaro<br> Institution: Catalan Institute of Nanoscience and Nanotechnology (ICN2) and BIST, Campus UAB, Ballaterra, 08193, Barcelona, Spain. Department SIMAU, Marche Polytechnic University, 60131, Ancona, Italy.<br> ORCID: 0000-0002-6540-0377<br> <br> Name: Jordi Arbiol<br> Institution: Catalan Institute of Nanoscience and Nanotechnology (ICN2) and BIST, Campus UAB, Ballaterra, 08193, Barcelona, Spain ICREA, 08010, Barcelona, Spain<br> ORCID: 0000-0002-0695-1726</p> <p> Name: Jesús Redondo<br> Institution: Department of Polymers and Advanced Materials, Centro de Física de Materiales CFM (UPV/EHU-CSIC), University of the Basque Country UPV/EHU, 20018, San Sebastián Spain. Department of Surface and Plasma Science, Faculty of Mathematics and Physics, Charles University, 180 00 Prague 8, Czech Republic<br> ORCID: 0000-0002-8147-689X</p> <p> Name: F.Schiller<br> Institution: Department of Polymers and Advanced Materials, Centro de Física de Materiales CFM (UPV/EHU-CSIC), University of the Basque Country UPV/EHU, 20018, San Sebastián Spain. Donostia International Physics Center DIPC, 20018 San Sebastián, Spain<br> ORCID: 0000-0003-1727-3542</p> <p> Name:Sara Barja<br> Institution: Department of Polymers and Advanced Materials, Centro de Física de Materiales CFM (UPV/EHU-CSIC), University of the Basque Country UPV/EHU, 20018, San Sebastián Spain. Donostia International Physics Center DIPC, 20018 San Sebastián, Spain. IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain</p> <p> Name: Beatriz Julián-López<br> Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0003-1019-776X</p> <p> Name: Ana Gutiérrez-Blanco<br> Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0001-9412-2321<br> Email: <angutier@uji.es></p> <p> Name: Victor Sans<br> Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0001-7045-5244<br> Email: <sans@uji.es></p> <p> Name: Sixto Giménez<br> Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0002-4522-3174<br> Email: <sjulia@uji.es></p> <p>## FILE DESCRIPTION<br>----------------<br>### Figure 1<br>-Fig1b.txt : Distribution hystogram of the BiVO4 NPs after the synthetic procedure.</p> <p>### Figure 3 (All measurements were carried out in 0.1 M potassium phosphate buffer (pH 7), containing 0.1 M Na2SO3 as hole scavenger.)<br>-Fig3a.txt : LSVs under chopped illumination conditions, scan rate, 10 mV·s-1, simulated solar light (AM 1.5 G, 100 mW·cm-2), back illumination.<br>-Fig3b.txt : Chronoamperometries at 1.23 V vs. RHE.<br>-Fig3c.txt : IPCE measurements and integrated photocurrent at 1.23 V vs. RHE</p> <p>### Figure 4<br>-Fig4c.txt : LSV of the measured photoanode (the electrolyte consisted on 0.5 M KPi at a constant pH of 7 and 0.5 M Na2SO3 as hole scavenger) with back illumination configuration.</p> <p>### Figure S4<br>-FigS4a.txt : Absorbance spectra of the different BiVO4 colloidal suspension alliquots taken for reproducibility studies.Seven consecutive synthetic runs were carried out and an aliquot was taken from each run, always under identical conditions regarding the collection time of the sample (30 minutes after starting the reaction).<br>-FigS4b.txt : Transmittance spectra of the different BiVO4 colloidal suspension alliquots taken for reproducibility studies.Seven consecutive synthetic runs were carried out and an aliquot was taken from each run, always under identical conditions regarding the collection time of the sample (30 minutes after starting the reaction).<br>-FigS4c.txt : Absorbance mean + error or the different BiVO4 colloidal suspension alliquots taken for reproducibility studies.<br>-FigS4d.txt : Transmittance at the selcted wavelength (400 nm) for the different BiVO4 colloidal suspension alliquots taken for reproducibility studies.</p> <p>## Figure S6<br>-FigS6.txt : Thermogravimetric analysis (TGA) curve of the BiVO4 NPs from room temperature to 500 ºC.</p> <p>### Figure S7<br>-FigS7.txt : XRD patterns of the FTO/BiVO4 photoanodes before and after thermal annealing. </p> <p>### Figure S8<br>-FigS8a.txt : Raman spectra of the FTO/BiVO4/Al2O3 based films before and after annealing. <br>-FigS8b.txt : FT-IR spectra of the FTO/BiVO4/Al2O3 based films before and after annealing. </p> <p>### Figure S9<br>-FigS9a.txt : Absorptance spectra of the FTO/BiVO4/Al2O3 samples before and after the annealing process.<br>-FigS9b.txt : Tauc plot of the FTO/BiVO4/Al2O3 samples before and after the annealing process. </p> <p>### Figure S11<br>-Fig11a.txt : LSV of the FTO/BiVO4/Al2O3 films in 0.1 M potassium phosphate buffer (pH 7) containing 0.1 M Na2SO3 as hole scavenger under AM 1.5 G, 100 mW·cm-2 back side illumination (scan rate, 10 mV·s-1) for the deposition reproducibility studies.<br>-Fig11b takes the same data contained in Fig11a.txt</p> <p>### Figure S12 (Measurements in 0.1 M phosphate buffer (pH 7) containing 0.1 M Na2SO3 as hole scavenger under AM 1.5 G, 100 mW·cm-2 back side illumination.)<br>-FigS12a.txt : Consecutive LSVs (LSV1, LSV2 LSV3) and LSV after 2 hours testing for the FTO/BiVO4 (area 5 cm2).<br>-FigS12b.txt : Consecutive LSVs (LSV1, LSV2 LSV3) and LSV after 2 hours testing for the FTO/BiVO4/Al2O3 films (area 5 cm2) showing the enhanced stability after deposition of the Al2O3 layer.</p> <p> </p>
Continuous Flow Synthesis of Iron Oxide Nanoparticles Using Water-in-Oil Microemulsion_experimental_dataset
<p>This dataset contains the raw experimental data to the article Sopoušek et al., Continuous Flow Synthesis of Iron Oxide Nanoparticles<br> Using Water-in-Oil Microemulsion, Colloid Journal, 2020, Vol. 82, No. 6, pp. 727–734. </p>
Data from: Forestry impacts on stream flows and temperatures: A quantitative synthesis of paired catchment studies across the Pacific salmon range
<p>Forestry is pervasive across temperate North America and may influence aquatic environmental conditions such as flows and temperatures, as well as important species such as Pacific salmon (<em>Oncorhynchus</em> spp.). While there have been many large-scale forestry experiments using paired catchment designs, these studies have yet to be quantitatively synthesized. Thus, it remains unclear whether forestry impacts are consistent, context-dependent, or unpredictable. This study aims to quantitatively synthesize forestry impacts on streamflow and temperature, through a systematic review and synthesis of paired catchment studies across the range of Pacific salmon. Specifically, we investigated whether generalizable relationships exist between forestry intensity (percent watershed harvested) and impacts to streamflow and temperature. We also examined whether watershed features (climate, hydrology, lithology) and harvest method mediated forestry impacts. We extracted information from 35 unique paired-catchments from California to Alaska. Forestry had strong impacts on peak and low flows and maximum summer water temperatures, but responses were quite variable. Across all catchments, forestry elevated peak flows ~20% (n = 31 catchments), reduced low flows ~25% (n = 13 catchments), and increased maximum summer temperatures ~15% (n = 35 catchments) on average. However, these impacts were variable and were not predictable based on forestry intensity, thus broader stressor-response relationships were not supported. Forestry impacts on peak flows and maximum summer temperatures varied spatially. Peak flow impacts increased with increased northward latitude and temperature impacts decreased with eastward longitude. However, the magnitude of impacts were unrelated to other watershed attributes, which included climate (precipitation and aridity), rain vs. snow hydrology, elevation, and bedrock lithology. Harvest method and riparian buffer presence also had no detected effects on forestry impacts across studies and statistical models explained a low proportion of variation overall. Collectively, our results indicate that forestry can have substantial impacts on key environmental conditions; however, the magnitude of impact was variable and could not be clearly linked to easily-measured watershed characteristics. This implies that forestry impacts are not broadly predictable. Probabilistic risk models based on distributions of potential impacts may therefore be more useful for watershed management in data-poor situations.</p>
Data from: Forestry impacts on stream flows and temperatures: A quantitative synthesis of paired catchment studies across the Pacific salmon range
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Rapid Flow-Based Synthesis of Post-Translationally Modified Peptides and Proteins: A Case Study on MYC's Transactivation Domain
<p>Raw data for the project "Rapid Flow-Based Synthesis of Post-Translationally Modified Peptides and Proteins: A Case Study on MYC's Transactivation Domain".</p> <p>Manuscript and supporting information available on Chemical Science: <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4SC00481G">https://doi.org/10.1039/D4SC00481G</a></p>
Continuous Flow Synthesis and Simulation-Supported Investigation of Tunable Plasmonic Gold Patchy Nanoparticles
<p>This is the dataset for the following manuscript "Continuous Flow Synthesis and Simulation-Supported Investigation of Tunable Plasmonic Gold Patchy Nanoparticles".</p> <p>Abstract</p> <p><span>Plasmonic nanoparticles have intriguing optical properties which make them suitable candidates for sensing or theranostic applications. Anisotropic patchy particles, where metal is locally deposited on the surface of a core particle, exhibit plasmon resonances that can be specifically adjusted for these applications. However, many existing synthesis routes are complex, yield too little material, or provide particles with limited optical tunability. In this work, we present a simple and scalable continuous flow synthesis of gold-on-polystyrene patchy particles with widely adjustable optical properties. By increasing the chloride concentration in the electroless deposition of gold, we slow down the redox reduction kinetics and obtain a dense patch morphology as well as a reduced nucleation rate. The latter is counteracted by introducing a low-level seeding approach where a small number of gold nanocrystals heterocoagulate with the core particles prior to patch growth. Seeding and patch growth are performed in a continuous flow set-up with two T-shaped milli-mixers. The resulting patchy particle samples exhibit a tunable dipolar plasmon peak between 600 nm and 1100 nm. We also investigate the structure-property relationship for our gold patchy particles using Finite Element Method simulations. After identifying a suitable patch shape model, we elucidate the influence of individual geometric parameters on the optical properties and show that the relationship holds true for a large range of patch coverages. Finally, we apply the relationship to explain the time-dependent change in the optical properties of as-synthesized patches by correlating it with the patch shape transformation revealed by electron microscopy.</span></p> <p> </p> <p>The uploaded data are sorted by figure.</p>
Enhancing Distributed Summary Synthesis with Data-Flow Analysis
<p>With increasing software complexity, scalable and precise verification is essential, especially in safety-critical areas. Distributed Summary Synthesis (DSS) supports scalability by enabling parallel processing of program segments (blocks). However, it faces limitations in achieving early-stage abstraction due to the inherent laziness of Predicate Analysis, which only refines abstractions when errors are detected. This thesis addresses this by integrating Data-Flow Analysis (DFA) into DSS, enhancing the initial information shared among program blocks to potentially accelerate and improve verification. Implemented in CPAchecker, DFA runs in parallel with Predicate Analysis, providing coarse summaries that strengthen the preconditions for successor blocks. Experimental evaluation using SV-COMP 2024 benchmarks, however, indicated that while DFA integration occasionally improved verification coverage, it also introduced additional resource demands. This increase in CPU time, wall time and memory usage, due to message handling and serialization and deserialization overhead, limited the number of programs that could be verified compared to the DSS implementation with only predicate analysis. This trade-off suggests that additional optimizations are needed to reduce performance costs and better harness the potential of DFA for scalable and effective verification.<br><br></p>
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