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6 results for “Caffeine metabolites”
Plant secondary metabolite increases the control-effectiveness of natural enemy - based on caffeine and Snellenius manilae
<p class="MsoNormal"><span>The food resources in the field can effectively strengthen the ability of natural enemies to control the pest. Certain compounds, in addition to carbohydrates and amino acids, may improve the physiological performance of insects. Caffeine, for instance, has been shown to enhance pollinator memory and physiological reactions. However, little is known about how caffeine influences parasitoids. The control effectiveness and survival rate of the parasitoid (</span><em>Snellenius manilae</em><span>) were tested in this study after the parasitoids were fed solutions with different concentrations of caffeine. We examined caffeine concentrations of 10</span><sup>-2</sup><span>, 10</span><sup>-4</sup><span>, and 10</span><sup>-6</sup><span> (M) mixed with a 25% sucrose solution and a pure sucrose solution as a control group. The results show that a concentration of 10</span><sup>-6</sup><span> caffeine solution significantly increased the parasitism rate of</span><em> S. manilae </em><span>by 10.76% when compared to the control group. Despite the significantly lower survival rate and male bias of </span><em>S. manilae </em><span>offspring in the 10</span><sup>-2</sup><span> treatment, no further negative responses in growth performance, development time, or cocoon weight were observed. These findings suggest that an appropriate concentration of caffeine solution can have a positive impact on the control effectiveness of parasitoids in the laborat</span>ory. Our results highlight the potential of secondary compounds to increase the bio-control effectiveness.</p>
Plant secondary metabolite increases the control-effectiveness of natural enemy - based on caffeine and Snellenius manilae
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SUPPORTING INFORMATION FOR: Stochastic dynamic mass spectrometric 3D structural analysis of caffeine metabolites
<p>Supporting information for the entitled contribution.</p><p>It contains:</p><p>Static quantum chemical and high accuracy molecular dynamics computational data on protomers, tautomers, zwitterions, and isotopomers of caffeine (CAFF), paraxanthine (PARAXAN), theobromine (THEOBR), theophylline (THEOPH), and guanine (GUA), uric acid (UA), and xantine (XAN), as well as their derivatives.</p><p>The content includes data on characteristic parent and product ions of the analytes in ion mobility spectrometric and mass spectrometric experimental conditions. Tautomers, charge transfer processes, and intramolecular rearrangement; if any, are accounted for considering. </p><p>Molecular mechanics/molecular dynamics data are shown as *.txt files. </p><p>High accuracy molecular dynamics includes adiabatic computations using Born-Oppenheimer approach.</p><p>High accuracy static ground state and transition state computations use M062X/SDD level of theory. </p><p>Figures in color, illustrating the entitled contribution shown as *.pdf files.</p><p>The experimental ion mobility spectrometry and mass spectrometry data are according to reference [1].</p><p>[1] H. Sepman, A. Kruve, S. Tshepelevitsh, H. Hupatz, Experimental IMS and MS/MS data of caffeine metabolites (2022). Zenodo, [https://doi.org/10.5281/zenodo.6637393][ https://zenodo.org/record/6637393] (Accessible for 04.04.2022.)</p><p>They have been used and processed via the following software:</p><p>[2] ProteoWizard 3.0.11565.0 (2017) [https://proteowizard.sourceforge.io/download.html];</p><p>[3] mMass 5.0.0 [http://www.mmass.org/download/old.php];</p><p>[4] AMDIS 2.71 (2012) software [https://chemdata.nist.gov/mass-spc/amdis/downloads/AMDIS_Installer-17.zip]; and</p><p>[5] NIST Search Software 2.0 [https://chemdata.nist.gov/dokuwiki/lib/exe/fetch.php?media=chemdata:nist17:nist17demo.zip], respectively.</p><p> </p><p> </p>
Experimental IMS and MS/MS data of caffeine metabolites
<p>The experimental ion mobility and collision-induced dissociation data for caffeine and its metabolites; ion mobility data for structurally similar nucleic bases and uric acid metabolites; DFT calculated structures with Gibbs free energies in gas phase and liquid phases (water, acetonitrile, water/acetonitrile (20/80, v/v)).</p>
Effect of Different Dosages of Paraxanthine, the Major Caffeine Metabolite, on Energy and Focus
ClinicalTrials.gov study NCT06117280. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data and code archive for project "Tracing caffeine and its metabolite in wastewater to understand the spread of SARS-CoV-2"
<p>This dataset/code archive included all the data and R codes that were used to explore the universal and robust wastewater biomarkers for population normalization in the SARS-CoV-2 wastewater-based epidemiology. There are nine R code files to produce figures and tables. The data included:</p> <ol> <li>Raw data of weekly biomarkers (caffeine, paraxanthine, and PMMoV) wastewater concentrations, weekly new COVID-19 case numbers, SARS-CoV-2 N1/N2 copies in wastewater, wastewater flow rate <ul> <li>A total of 2,624 wastewater samples (41 weeks) were collected weekly from May 2021- April 2022 from 64 wastewater treatment plants across Missouri, US;</li> <li>pMMoV data was only available from Sep 13 2021-April 2022 for Missouri data;</li> <li>Validation dataset from 10 wastewater treatment plants across Wisconsin, US, to test the relationship between wastewater biomarkers and population. </li> </ul> </li> <li>Downloaded Apple mobility data during the pandemic </li> <li>Validation dataset for wastewater flowrate estimation using paraxanthine concentrations.</li> </ol>
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