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93 results for “Chemical Characterization”
Morphological and physical chemical characterization of main agricultural plastics articles used for protected cultivation systems during ageing in fields, and collection practices
<p>This dataset includes data generated upon the implementation of the ST 1.2.1 "Analysis of degradation and fragmentation of AP and transfer of MNP to soil". The activities dealt with the study of degradation and fragmentation from weathering and agricultural practices of conventional and biodegradable AP relevant for transfer of MNP to soil (during both use and end of life). In particular, the experimental data refer to characterization of biodegradable mulch films, pristine (coded M-BIO0) or subjected to photo-oxidative weathering (M-BIO192), as well as the same samples buried in soil for varying time periods, up to 353 days. The folders included contain gel permeation chromatography (GPC) and Matrix-assisted Laser Desorption Ionization (MALDI-TOF) data, which account for the change in film molecular weight upon soil burial. Furthermore, Differential Scanning Calorimetry (DSC) data and Scanning Electron Microscopy (SEM) and Water Contact Angle (WCA) images of some selected samples are also provided. The folder named MS RAW FILES.zip includes all the mass spectrometry raw data.</p>
Sewage sludge batches chemical characterization
<p><a href="https://github.com/jmalonso55/Sewage-sludge-characteristics">https://github.com/jmalonso55/Sewage-sludge-characteristics</a></p> <p>This repository contains the R script and part of the data from Alonso, J.M., Ph.D. Thesis (Alonso, J.M., 2019. Caracterização de Biossólidos para a Produção de Mudas de Espécies Arbóreas da Mata Atlântica [Thesis]. Universidade Federal Rural do Rio de Janeiro, Seropédica, Brasil). </p> <p>Published as a paper with the reference: Alonso, J.M., Abreu, A.H.M., Andreoli, C.V. <em>et al.</em> Chemical characteristics and valuation of sewage sludge from four different wastewater treatment plants. <em>Environ Monit Assess</em> <strong>196</strong>, 34 (2024). <a href="https://doi.org/10.1007/s10661-023-12211-8">https://doi.org/10.1007/s10661-023-12211-8</a></p> <p>The data in this particular repository are from samples of 19 sewage sludge batches. The samples were collected in January, May, August, December 2016, February, June, September, and December 2017 from four wastewater treatment plants (WWTP). At WWTP Ilha do Governador, samples were collected in all eight seasons. Due to various reasons, it was not always possible to collect samples from the other WWTPs. The WWTP Alegria had five collections, while Barra and Sarapuí had three.</p> <p>The chemical characterization of the sludges was conducted based on the parameters required by Resolution nº 498/2020 of the National Council for the Environment (BRASIL, 2020). The elements P, K, Ca, Mg, Fe, Al, Na, Co, Mn, As, Ba, Cd, Cr, Cu, Ni, Se, Pb, and Zn were determined using inductively coupled plasma optical emission spectrometry (ICP-OES). The dry combustion method determined the C and N contents using a CHN-600 elemental autoanalyzer. The organic matter content was determined by multiplying the total carbon present in each sample by the “van Bemmelen” conversion factor of 1.724. The pH and electrical conductivity (EC) were determined by taking 5 g of each sample and diluting it in 50 mL of deionized water. The mixture was stirred for 30 minutes and then measured using a bench pH and conductivity meter.</p> <p>The valorization of the sludge batches was performed using the substitute goods method, which compares the prices of products well-established in the market with the good to be valued. The sludge was valued for its N, P, and K contents. The inputs quoted as sources of these nutrients were the mineral fertilizers urea (N), triple superphosphate (P), and potassium chloride (K). The fertilizers' megagram prices were divided by the percentage of nutrients they contain to calculate each nutrient's value.</p> <p>Fertilizer prices were consulted in: CONAB. Companhia Nacional de Abastecimento. Relatório de Insumos Agropecuários, Grupo Fertilizante, Sub-Grupo Químico, UF PR, Ano 2023. Brasília: CONAB, 2023. Available from: <a href="https://consultaweb.conab.gov.br/consultas/consultaInsumo.do?method=acao">https://consultaweb.conab.gov.br/consultas/consultaInsumo.do?method=acao</a> CarregarConsulta (accessed 26 July 2023).</p>
Fig. 3 in Diversity Of Mosquitoes (Diptera, Culicidae) And Physico-Chemical Characterization Of Their Larval Habitats In Tizi-Ouzou Area, Algeria
Fig. 3. Mosquito breeding sites (site 01, a; site 02, b; site 03, c; site 04, d; site 05, e; site 06, f); site 07, g).
In-depth characterization revealed polymer type and chemical content specific effects of microplastic on Dreissena bugensis
<p>The files contain datasets that were generated during laboratory-based real-time valvometry, and laser doppler anemometry measurements. The article was published in Journal of Hazardous Materials (accepted June 8, 2022).</p>
Atmospheric aerosol chemical characterization and organic aerosol source apportionment by HR-TOF-AMS in the Po Valley during RHAPS (2021)
<p><span>Time series of non-refractory submicrometric aerosol (PM1) chemical components (sulfate, nitrate, ammonium, chloride, and organic aerosol, OA) from RHAPS campaigns (winter and summer 2021) at Bologna (BO) and San Pietro Capofiume (SPC), Po Valley, Italy.<br></span></p> <p><span>Time series and profiles of OA source factors derived from PMF.</span></p>
Data for "Characterizing the chemical potential disorder in the topological insulator (Bi1−xSbx)2Te3 thin films"
<p>Here, the data underlying all figures of the paper "Characterizing the chemical potential disorder in the topological insulator (Bi$_{1−x}$Sb$_x$)$_2$Te$_3$ thin films" is given in .csv or .txt file format.<br>Furthermore, raw data files are provided.<br>The STM/STS data was recorded and stored with the Nanonis SPM Control Software Version Generic 5 in the Nanonis file format (.sxm) for scan images, binary file format (.3ds) for STSgrids and ASCII file format for simple point STS.</p>
FIG. 4 in Morphological, chemical and biochemical characterization of a new species of sponge without skeleton (Porifera, Demospongiae) from the Mediterranean Sea
FIG. 4. — Molecular phylogenetic tree based on a comparison of 28S rRNA sequences from 22 species. The topology is a consensus bootstrap neighbour-joining tree obtained after 500 bootstrap replicates with Haplosclerida as outgroup. Bootstrap proportions are shown above internal branches. Distances were calculated using Kimura method. Abbreviations: Ageoro, Agelas oroides; Ancten, Anchinoe tenacior; Asbhyp, Asbestopluma hypogea; Axidam, Axinella damicornis; Choren, Chondrosia reniformis; Cinsch, Cinachyrella schulzei; Cormas, Corallistes masoni; Dispol, Discodermia polydiscus; Eryeua, Erylus euastrum; Halpan, Halichondria panicea; Pacpat, Pachastrissa pathologica; Pacjoh, Pachymatisma johnstoni; Penhel, Penares helleri; Petfic, Petrosia ficiformis; Poecom, Poecillastra compressa; Renful, Reniera fulva; Renmuc, Reniera mucosa; Spogen, Spongosorites genitrix; Strmuc, Stryphnus mucronatus; Thycon, Thymosiopsis conglomerans; Thycut, Thymosiopsis cuticulatus; Thygue, Thymosia guernei.
FIG. 1. — Thymosiopsis conglomerans n in Morphological, chemical and biochemical characterization of a new species of sponge without skeleton (Porifera, Demospongiae) from the Mediterranean Sea
FIG. 1. — Thymosiopsis conglomerans n. sp.; A, holotype in situ, 17 m depth; B, view of the surface of the holotype, with reticulation of low ridges and epizoic bryozoan (Scrupocellaria sp.); C, section through the paratype (surface of the sponge on the left); D, thin polished section in the paratype, with the ectosome on the left, canals, and numerous debris of foreign origin. Scale bars: B, 1 mm; C, 14.3 mm; D, 1.4 mm.
FIG. 2. — Thymosiopsis conglomerans n in Morphological, chemical and biochemical characterization of a new species of sponge without skeleton (Porifera, Demospongiae) from the Mediterranean Sea
FIG. 2. — Thymosiopsis conglomerans n. sp.; A, semi-thin section through the ectosome; B, semi-thin section through the choanosome; C, TEM view of a choanocyte chamber; D, enlargement of a part of semi-thin section B; E, choanocyte; F, spherulous cell. Abbreviations: a, foreign body (calcareous alga); ap, aphodus; b, bacteria; c, canal; cc, choanocyte chamber; g, granular cell; n, nucleus; s, spherulous cell; v, vacuolar cell; vc, vacuolar cells near the pinacocyte layer of the canal. Scale bars: A, D, 16 µm; B, 58 µm; C, 3.2 µm; E, F, 1 µm.
F. 5. — 1 in Morphological, chemical and biochemical characterization of a new species of sponge without skeleton (Porifera, Demospongiae) from the Mediterranean Sea
F. 5. — 1, Thymosiosterol; 2, ∆24 thymosiosterol; 3, main sterol of T. conglomerans; 4, pulchrasterol.
FIG. 6 in Morphological, chemical and biochemical characterization of a new species of sponge without skeleton (Porifera, Demospongiae) from the Mediterranean Sea
FIG. 6. — Thymosia guernei Topsent, specimen from Portugal. Semi-thin section through the choanosome. Abbreviations: ca, canal; cc, choanocyte chamber; f, spongin fibre; sc, spherulous cell. Scale bar: 34 µm.
Evaluating the use of Fourier transform Raman spectroscopy for pollen chemical characterization
Open the record for dataset details and reuse information.
Online Aerosol Chemical Characterization by Extractive Electrospray Ionization − Ultrahigh-Resolution Mass Spectrometry (EESI-Orbitrap)
<p>These datasets are the raw data presented in the presented work of "Online Aerosol Chemical Characterization by Extractive Electrospray Ionization − Ultrahigh-Resolution Mass Spectrometry (EESI-Orbitrap)" in <em>Environmental Science & Technology Journal</em>, doi:10.1021/acs.est.9b07090.</p> <p>Abstract: Current mass spectrometry techniques for the online measurement of organic aerosol (OA) composition are subjected to either thermal/ionization-induced artifacts or limited mass resolving power, hindering accurate molecular characterization. Here, we combined the soft ionization capability of extractive electrospray ionization (EESI) and the ultrahigh mass resolution of Orbitrap for real-time, near-molecular characterization of OAs. Detection limits as low as tens of ng m<sup>−3</sup> with linearity up to hundreds of μg m<sup>−3</sup> at 0.2 Hz time resolution were observed for single- and mixed-component calibrations. The performance of the EESI-Orbitrap system was further evaluated with laboratory-generated secondary OAs (SOAs) and filter extracts of ambient particulate matter. The high mass accuracy and resolution (140 000 at <em>m/z</em> 200) of the EESI-Orbitrap system enable unambiguous identification of the aerosol components’ molecular composition and allow a clear separation between adjacent peaks, which would be significantly overlapping if a medium-resolution (20 000) mass analyzer was used. Furthermore, the tandem mass spectrometry (MS<sup>2</sup>) capability provides valuable insights into the compound structure. For instance, the MS<sup>2</sup> analysis of ambient OA samples and lab-generated biogenic SOAs points to specific SOA precursors in ambient air among a range of possible isomers based on fingerprint fragment ions. Overall, this newly developed and characterized EESI-Orbitrap system will advance our understanding of the formation and evolution of atmospheric aerosols.</p> <p>Structure of the datasets: The raw data are separated into individual file of excel format for the figures. Simulation data from Figure 4 can be generated using the matlab code named <em>Figure4PeakSimulation.m.</em> </p>
Chemical characterization of atmospheric ions at the High-Alpine station Jungfraujoch (Switzerland)
<p>The ion composition at high-altitude (3454 m a.s.l.) was measured with an Atmospheric<br> Pressure interface Time of Flight mass spectrometer (APi-TOF) during a period of nine<br> months, from August 2013 to April 2014. The negative mass spectra were dominated by the<br> ions of sulfuric, nitric, malonic and methanesulfonic acid (MSA) as well as SO5- . The most<br> prominent positive ion peaks were from amines. The other cations were mainly organic compounds<br> clustered with a nitrogen-containing ion, which could be either NH4+ or an aminium.<br> Occasionally the positive spectra were characterized by groups of compounds each differing<br> by a methylene group. In the negative spectrum, sulfuric acid was always observed during<br> clear sky conditions following the diurnal cycle of sun irradiation. On many occasions we<br> also saw a high signal of sulfuric acid during night time when clusters up to the tetramer<br> were observed. A plausible reason for these events could be evaporation from particles at low<br> relative humidity. A remarkably strong correlation between the signals of SO5- and CH3SO3-<br> was observed for the full measurement period. The presence of these two ions during both<br> the day and the night suggests a non-photochemical channel of formation which is possibly<br> linked to halogen chemistry. Halogenated species, especially Br– and IO3- , were frequently<br> observed in air masses that originated mainly from the Atlantic Ocean and occasionally from<br> continental areas based on back trajectory analyses. We found I2O5 clustered with an ion, a<br> species that was proposed from laboratory and modelling studies. All halogenated ions exhibited<br> an unexpected diurnal behaviour with low values during day time. New particle formation<br> (NPF) events were observed and characterized by 1) highly oxygenated molecules (HOMs) and<br> low sulfuric acid or 2) ammonia-sulfuric acid clusters. We present characteristic spectra for<br> each of these two event types based on 26 nucleation episodes. The mass spectrum of the<br> ammonia-sulfuric acid nucleation event compares very well with laboratory measurements<br> reported from the CLOUD chamber. A source receptor analysis indicates that new particle<br> formation events at the Jungfraujoch take place within a restricted period of time of 24-48<br> hours after air masses have had contact with boundary layer. This time frame appears to be<br> crucial to reach an optimal oxidation state and concentration of organic molecules necessary<br> to facilitate nucleation.</p>
Datasets of VAMAS TWA2 Project 33: Chemical characterization of graphene related two-dimensional materials by XPS
<p>The datasets contain excel-files of the XPS raw data of the participants of the interlaboratory comparison. Additionally, the protocol is added.</p>
Chemical composition of main agricultural plastics articles used for protected cultivation systems: additive characterization
<p>The folder includes chromatographic and mass spectrometry data of the characterization of additives in agricultural plastics, including mulch films (coded as M), mulch fabrics (coded as C and GT), ropes (coded as R), irrigation tapes (coded as I), seed coatings (coded as O), feed sack (coded as K), bale knitted nets and silage nets (coded as S4), biodegradable shelters (coded as SH), ropes & twines for crop production (coded as R), plant tunnels (coded as L), fertilizers sacks (coded as K), silage film /coded as S1). Conventional polymers including polyethylene (PE), polypropylene (PP), and biodegradable polymers (BIO) have been analyzed.</p> <p> </p> <p> </p>
Non-targeted metabolomics-based molecular networking enables the chemical characterization of Rumex sanguineus, a wild edible plant
<p>This dataset delves into the chemical composition of Rumex sanguineus employing non-targeted metabolomics and Feature-Based Molecular Networking (FBMN), with compound annotation facilitated by SIRIUS. Utilizing UHPLC-HRMS, we conducted comprehensive analyses on samples extracted from Rumex roots, stems, and leaves, further enhancing our insights through molecular networking.</p>
Code and Data for Li et al. Characterizing the Speed of Chemical Cycling in the Atmosphere
<p>This Zenodo archive contains the code and data used in the manuscript "Characterizing the Speed of Chemical Cycling in the Atmosphere"</p>
Extraction, Chemical Characterization and Antioxidant Activity of Bioactive Plant Extracts
<p>Recording of the talk “Extraction, chemical characterization and antioxidant activity of bioactive plant extracts”, presented by Beatriz Nunes Silva at the 1st International Electronic Conference on Food Science and Functional Foods; MDPI Foods. Online virtual meeting (10-25 Nov 2020).</p>
Fig. 2 in Diversity Of Mosquitoes (Diptera, Culicidae) And Physico-Chemical Characterization Of Their Larval Habitats In Tizi-Ouzou Area, Algeria
Fig. 2. Study sites location (1— Irdjen; 2 — Ouadhia; 3 — Beni Yenni; 4 — Iboudraren).
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