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Dolomite

Dolomite is a common mineral composed of calcium magnesium carbonate, with the chemical formula CaMg(CO3)2.
It is a sedimentary rock that forms in marine environments and is often associated with limestone.
Dolomite has a variety of industrial and commercial applications, including as a source of magnesium, a flux in steelmaking, and a filler in paints, plastics, and rubber.
It is also used in construction, agriculture, and water treatment.
Dolomite's unique properties, such as its hardness, resistance to weathering, and thermal stability, make it a valuable resource for many industries.
Researchers can optimize their dolomite studies using tools like PubCompate.ai to enhance reproducibility, locate relevant protocols, and improve research outcomes.

Most cited protocols related to «Dolomite»

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Publication 2017
alexa fluor 488 Buffaloes Dextran DNA Chips dolomite Emulsions Enzyme-Linked Immunosorbent Assay Fibroblast Growth Factor 2 Heparin Microscopy Microscopy, Confocal perflexane Phosphates Pluronic F68 Polyethylene Glycols Quartz Saline Solution Serum Albumin, Bovine Syringes
According to interviews with smallholders, conducted by Euler et al. [unpublished data], the rubber and oil palm plantations in the clay Acrisol soil were planted after clearing and burning the previous forest or logged forest. In the loam Acrisol soil, oil palm plantations were established after clearing and burning the previous jungle rubber whereas the rubber plantations were established from previously logged forest. Based on our interviews, only the oil palm plantations were fertilized during our study year, 2013, while the rubber plantations were not. Oil palm plantations in the clay Acrisol soil were fertilized once in the rainy season (October to March), and in the loam Acrisol soil, these were fertilized once in the rainy season and once in the dry season (April to September). The most commonly used fertilizers were NPK complete fertilizer (i.e. Phonska, Mahkota), potassium chloride (KCl) and urea (CO(NH2)2). Fertilizer additions to the oil palm plantations ranged from 300 kg NPK-fertilizer ha-1 year-1 (for those plantations that were fertilized once) to 550 kg NPK-fertilizer ha-1 year-1 (for those plantations that were fertilized twice). In terms of unit nutrient element added, these rates were equivalent to 48–88 kg N ha-1 year-1, 21–38 kg P ha-1 year-1 and 40–73 kg K ha-1 year-1. Additionally, three of the smallholders applied 157 kg K-KCl ha-1 year-1 and 143 kg Cl-KCl ha-1 year-1 and two of the smallholders applied 138 kg urea-N ha-1 year-1. One of the smallholders also applied lime in 2013 at an average rate of 200 kg dolomite ha-1 year-1. Both manual and chemical weeding took place throughout the year at the rubber and oil palm plantations. The most commonly used herbicides were Gramoxone and Roundup; these were applied at an average rate of 2 to 5 L herbicide ha-1 year-1 [Euler et al. unpublished data].
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Publication 2015
Arecaceae calcium oxide Clay dolomite Forests Gramoxone Herbicides Nutrients Palm Oil Rain Roundup Rubber Urea
A total of 29 Australian A. lentis isolates were assessed (Table 2) in this experiment. These were predominately isolated in South Australia from field plants or seed stocks in 2010, 2011, and 2012. The other isolates were from field plants from Victoria isolated in 2012 with the exception of the two reference isolates Kewell and AL4. Most isolates were from lentil cvs PBA Flash and Nipper, three were from cv Nugget, two from cv Northfield and one from cv Aldinga. Inoculum was prepared as described above and the concentration adjusted to 106 spores per ml before adding a drop of Tween 80 (Merck Pty. Ltd.). Control seedlings were sprayed with sterile water plus Tween 80. Plants were inoculated until runoff using a 500 ml hand sprayer producing a fine mist, and the pots rotated during the procedure to achieve an even spread of inoculum. The host differential set consisted of ILL7537, cvs Northfield, Indianhead, Nipper, PBA Flash and the susceptible check ILL6002. Each accession was sown as five seeds per 5 cm forestry tube filled with a 1:1 pine bark/sand mix, ameliorated with dolomite to achieve pH 7.0, and grown in a growth room at 20°C with a 12 h photoperiod. After 2 weeks, these were thinned to three seedlings per pot immediately prior to inoculation. Seedlings were watered to field capacity twice a week, and fertilized weekly from 2 weeks old with Nitrosol (Amgrow) as per the manufacturer's instructions.
The 29 isolates were tested using three separate randomized, nested, complete block design trials. Each trial assessed three plants/accession/treatment and trials were repeated three times (total of four replicates). There were 12 treatments per trial consisting of nine unknown isolates, two positive control isolates (AL4 and Kewell) and one uninoculated control. The following method was adapted from those previously used (Nasir and Bretag, 1997a (link); Ford et al., 1999 (link); Sambasivam, 2011 ) to promote infection and maintain conditions for disease development. The six pots, each containing a different accession, were placed randomly in a solid 2 L plastic container, assigned a treatment, inoculated as described above then placed randomly in one of two 200 L plastic crates to minimize air flow present in the growth room. The crate also contained water (2–4 cm depth) to maintain humidity. The crate was covered tightly with a lid and wrapped in black plastic for 48 h post inoculation to provide dark conditions with 100% humidity to promote infection. After removal of the coverings, the crates were misted three times a day and covered with damp hessian for 48 h each week to provide conditions conducive to disease. The growth room conditions were the same as those described above for seedling production.
Final disease assessment was made on whole plants 28 days after inoculation (dai) when discrimination of disease reaction between susceptible and resistant plants was distinct (Ford et al., 1999 (link)). One observation was made from each seedling. The subjective 1–9 disease index used by previous researchers (Nasir and Bretag, 1997a (link); Ford et al., 1999 (link); Sambasivam, 2011 ) was modified by specifying a size limit of small lesions and percentage leaf drop. The scores were: 1 = no visible disease symptoms; 3 = leaf lesions only, chlorosis of affected leaves, < 10% leaf drop; 5 = leaf lesions, up to 25% leaf drop, stem flecks or lesions < 2 mm; 7 = leaf lesions, up to 50% leaf drop, stem lesions > 2 mm; 9 = leaf lesions, potential defoliation, stem girdling, potential plant death.
Statistical analysis was performed using GenStat® version 16. Data from all three trials were then pooled and analyzed using Linear Mixed Model analysis. The use of the same two controls in each trial provided a means of ranking isolates across trials. Data from control seedlings was excluded from all analyses to prevent bias since the scores were consistently 1. Means of disease score were calculated for isolates, cvs and the isolate /cv interaction using Least Square Difference (LSD) 5%. Interaction plots for each of the three trials were performed using Minitab 16 Statistical Software to provide a means of observing deviations from common patterns of interaction. Mean with 95% confidence limit was used to compare aggressiveness of isolates originally isolated from cv PBA Flash or cv Nipper. Mean scores were used to place isolate reactions on cultivars into categories of Resistant (score 1), Moderately Resistant (score 1.1–4.9), Moderately Susceptible (score ≥ 5–6.0) or Susceptible (score > 6.0) (Nasir and Bretag, 1998 (link)).
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Publication 2016
The Solanum lycopersicum cultivar Micro-MsK [17 (link)], which harbors the dwarfing genes of Micro-Tom (MT) plus the Rg1 allele from S. peruvianum [16 (link)] was crossed and backcrossed to MT by conventional means to obtain a near-isogenic line (Figure 1), named MT-Rg1. General-purpose growth of plants was carried out in a greenhouse under automatic irrigation (four times a day), at an average mean temperature of 28°C; 11.5 h/13 h (winter/summer) photoperiod, and 250-350 μmol m-2 s-1 PAR irradiance [natural radiation reduced with a reflecting mesh (Aluminet - Polysack Industrias Ltda, Itápolis, Brazil)]. The miniature plants were grown in 150-ml pots containing a 1:1 mixture of commercial substrate (Plantmax HT, Eucatex, São Paulo; Brazil) and expanded vermiculite, supplemented with 1 g NPK 10:10:10 L-1 substrate and 4 g dolomite limestone (MgCO3+CaCO3) L-1 substrate. At flowering stage (about 35 days from sowing) plants were supplemented with NPK (circa 0.2 g/pot). About 40 days after each crossing, mature fruits were harvested and the seed pulp was removed by fermentation for 12-h using commercial baker's yeast (Saccharomyces cerevisae, Fermix, São Paulo; Brazil). Seeds were subsequently washed and air-dried.
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Publication 2010
Alleles Background Radiation Carbonate, Calcium Dental Pulp dolomite Eucatex Fermentation Fruit Genes Limestone Lycopersicon esculentum Plant Development Plant Embryos Plants Saccharomyces cerevisiae vermiculite
Drop-Seq libraries were prepared according to the Drop-seq protocol V3.1 (ref. 32 (link)), with full details available online (http://mccarrolllab.com/dropseq/). Cell and bead concentrations were both set to between 95 and 110/μL.
WT cerebellum cells were co-encapsulated with barcoded beads using FlowJEM brand PDMS devices. Flow rates on the PDMS device for cells and beads were set to 3800 μL/h, flow rate for oil was maintained at 15,000 μL/h, resulting in a 4.5% bead occupancy rate in a 0.7-nL droplet.
Medulloblastoma cells were co-encapsulated using a Dolomite-brand glass device. All cells were processed within 1 h of tissue dissociation. Flow rates on the glass device were set to 2400 and 12,000 μL/h for cells/beads and oil, respectively, with a 1–2.5% bead occupancy rate.
Droplet breakage and library preparation steps followed Drop-seq protocol V3.1 (ref. 32 (link)), with specific modifications:

Following each PCR, an additional Ampure XP cleanup was performed at a 1× ratio, for a total of one 0.3× purification followed by a 1× purification. We found this to reduce residual PCR primer in the bioanalyzer electropherogram.

Beads were stored at 4° after exonuclease step for up to 2 months prior to generating cDNA.

Following the completion of each set of experiments, a library pool consisting of the tagmented cDNA from 2000 beads/run was prepared and sequenced to low depth (~2.5 M reads/2K beads). These data were used to assess library efficiency, including total read losses to PolyA regions, nonsense barcodes and adapter sequences as well as the quality and number of the transcriptomes captured. Passable runs contained 40–60% of reads associated with the top 80–100 barcodes found in 2000 beads. For those runs that passed our quality assessment, we re-sequenced newly prepared libraries from the stored beads. The bulk cDNA libraries were prepared using the same ratio of 2000 beads/PCR.
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Publication 2019
cDNA Library Cells Cerebellum Dietary Fiber DNA, Complementary dolomite Exonuclease Medical Devices Medulloblastoma Mutation, Nonsense Oligonucleotide Primers Poly A Tissues Transcriptome

Most recents protocols related to «Dolomite»

According to the level of sanding with the differences in color, rock mass structure, microscopic features, alterations, rock mass integrity indexes, rock quality designation (RQD), wave velocity ( VP ), the intactness index of rock mass ( kv ), dolomites can be divided into four types of sanding: fierce, strongly, medium and weakly (micro-new rock mass), as listed in Table 11 ,61 (link).

Sandy degree of dolomite classification1 ,61 (link).

Sandy degreeColorRock organization structureVolume changeMicroscopic featureAlterationRock main characteristics value
Fierce sandyUniform discoloration and gloss lossTotally destroyed and disintegrates and decomposes into loose sand particlesLargePowder crystal structureExcept for quartz, most of the residual minerals alter to secondary minerals

Kv < 0.10

Vp < 1.0 km/s

Strongly sandyPrimary discoloration with part of rock blocks retaining their original colorMostly destroyed and small part disintegrates and decomposes into loose sand particlesNot smallFine crystal—medium crystal structureExcept for quartz, feldspar, mica, and femic minerals are already weathered

RQD < 20%

Kv = 0.10 ~ 0.15

Vp = 1.0 ~ 2.0 km/s

Medium sandyMostly discoloration and only the fracture of the rock retain slight discoloration as bright colorMostly appear clear and complete, and the body of rock exhibits fragmentation; small part appears embedded and exhibits fragmental structureNoAplitic textureFemic minerals exhibit oxidation and corrosion; feldspar exhibits opacification

RQD = 20% ~ 40%

Kv = 0.15 ~ 0.35

Vp = 2.0 ~ 3.5 km/s

Weakly sandyUniform slight discoloration as bright colorAll appear original withcomplete organization structureNoMedium crystal structureOnly the part along with the crack appear the phenomenon of weathering and alteration or/and the immersion of the corrosion

RQD > 50%

Kv > 0.40

Vp > 4.0 km/s

In this study, the Sandy Dolomite along and near the Yuxi section of the CYWD Project was taken as the research object. Dolomite with various sandification grades was sampled in field outcrops, boreholes, and tunnels to determine the PMP. The test results are displayed in Table 2, Figs. 2, and 3.

Statistics of ρ and n of Sandy Dolomite.

Sandy DolomiteNumber of testsρ (g/m3)n (%)
MinMaxMeanMinMaxMean
Fierce191.71.91.829.0923.0816.63
Strongly242.4422.6082.5495.5311.628.59
Medium902.622.7612.6990.774.452.577
Weakly682.6012.7972.7230.343.261.426

Relationship between Sandy Dolomite and n.

Relationship between Sandy Dolomite and ρ.

According to Matula’s method62 , fierce Sandy Dolomite is a rock with low density and high porosity; strongly Sandy Dolomite is a rock with medium density and porosity; medium and weakly Sandy Dolomite is a rock with high density and low porosity.
According to Figs. 2 and 3, the higher the sandification grade increases, the higher porosity and the lower density of Sandy Dolomite, indicating that the sandification grade increases with the rise of porosity and the decline of density.
Since the fierce Sandy Dolomite can be easily crushed by hand, a complete rock block cannot be obtained for mechanical testing, as shown in Fig. 4a. The thin rock section identification is shown in Fig. 4b. The indoor size distribution test result shows that the fierce Sandy Dolomite is in a state of silty fine sand.

Fierce Sandy Dolomite (E 102°41′38.34″, N 24°35′48.82″). (a) Field tests Photos. (b) Thin Section Identification (“Dol” is the abbreviation for “dolomite”, “Are” is the abbreviation for “argillaceous”).

Since the rock mass strength of strongly Sandy Dolomite is obviously weakened, with forming weathering fissures, a complete rock block cannot be obtained for mechanical testing, as shown in Fig. 5a. The thin rock section identification is shown in Fig. 5b. Schmidt rebound test on the strongly Sandy Dolomite sample shows that there is no rebound reading, indicating that the rock mass has been damaged.

Strongly Sandy Dolomite (E 102°39′48.92″, N 24°15′33.16″). (a) Field tests Photos. (b) Thin Section Identification (“Dol” is the abbreviation for “dolomite”, “Iron” is the abbreviation for “Iron sludge”).

In view of the aforementioned condition, this study only took the medium and weakly Sandy Dolomite as the research objects and analyzed the relationship between UCS and SH, Is(50), Vp, ρ, and n. The PMP of rock samples were tested using the methods specified by ISRM by establishing at least six sets of samples for each rock sample and calculating their average value.
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Publication 2024
Natural dolomite was sourced from Hebei, China, with a purity of 98.45%. The dolomite has a nearly ideal stoichiometric formula of CaMg(CO3)2. The crushed dolomite particles were wet-ground in alcohol for 5 h in a planetary ball mill. The salt-bearing dolomites were prepared by adding 1.0 wt% of salts to dolomite and the powders were softly ground in a pestle to form homogenous mixtures. The used salts included chlorides (NaCl, LiCl, MgCl2, CaCl2, AlCl3·6H2O, and KCl), sulphates (Na2SO4, K2SO4, and Al2(SO4)3·18H2O), nitrates (KNO3, LiNO3 and Mg(NO3)2·2H2O), and carbonates (Na2CO3, Li2CO3, K2CO3, and Mg2(OH)2CO3). The salts were of analytical purity and used without further treatment.
Publication 2024
The morphology of natural dolomite particles and HCDs was observed using a JSM-5900 scanning electron microscope (JEOL, Ltd, Japan).
Publication 2024
We collected 15 dolomite rock samples from localities around the Death Valley region. In addition, we used 14 dolomite rock samples from the Paleozoic sedimentary section from the Colorado Plateau, originally collected by Ryb and Eiler43 (link). Sample details are available in Supplementary Dataset S2. U–Pb analyses were performed on specific dolomite fabrics (e.g., matrix and various allochems) on 100 μm thick thin-sections. Eighteen dolomite fabrics in samples from the Colorado Plateau samples were analyzed at UCSB using a Nu Plasma 3D multicollector ICP-MS coupled with a Photon Machines Analyte 193 nm ATLEX-SI 193 nm ArF excimer laser ablation system with a double volume HelEx II cell. Seventeen dolomite fabrics in samples from the Death Valley region were measured at JHU Tectonics, Metamorphic Petrology, and Orogenesis (TeMPO) Laboratory using a Teldyne-Cetac Analyte G2 193 nm Excimer laser ablation system, with a double volume HelEx II cell, coupled to an Agilent 8900 quadrupole LA-ICP-MS with no gas in the collision cell. Each analyzed fabric includes 15–59 measured spots. Baseline-subtraction and instrument drift corrections were made with the commercially available Iolite software, using the U–Pb Geochronology data reduction scheme and the NIST612 (JHU) or NIST614 (UCSB) glass standard as the primary reference material. Following initial data processing in Iolite, a mass-bias correction to the 238U/206Pb ratios of each analysis was made such that the lower-intercept date of the Tera-Wasserburg discordia for limestone secondary reference materials measured simultaneously with the unknowns were accurately reproduced. At JHU, reference material limestones WC-163 (link) and Duff Brown Tank64 (link) were used. At UCSB, WC-163 (link), ASH1565 (link), and an in-house secondary reference travertine Whitepine were used. The accuracy of carbonate U–Pb dates (probably no better than ∼ ±3% at 95% C.I.) is currently limited by heterogeneity of available reference materials, such as WC-1 which exhibits ≥2.5% scatter about best fit discordia63 (link), as well as uncertainties surrounding differences in the ablation characteristics of different carbonate materials63 (link),66 (link). This limitation in method accuracy does not influence the results of this study, for which calculated date uncertainties (analytical and regression) are often quite large and possible error in calculated U–Pb dates on the order of a few million years are unimportant for the overall interpretations.
We consider these data together with published 207Pb/206Pb and 235U/238U ratios from the eastern Levant region (n = 7)32 (link), the northwest Sichuan Basin (n = 5)34 (link), the Arabian Platform33 (link) (n = 11) and the Wasatch Range, Utah (n = 8)31 . For consistency, we calculated 238U/206Pb and 207Pb/206Pb ratios and (re)plotted all data in Tera-Wasserburg concordia plots to determine the U–Pb age of the samples and the initial 207Pb/206Pb ratio30 (link). We used an in-house Python based code to find the best fit line (discordia) through the data, and determine the U–Pb date, initial 207Pb/206Pb, and their uncertainties67 . For the latter, we used York least square method to calculate the uncertainty in the slope and intercept of isochrons that derives from analytical errors and natural scatter68 (link), and propagated these values to determine the uncertainty in age and intercept. Raw data of new measurements and Tera-Wasserburg plots of all analyzed data are available in Supplementary Dataset S3 and Fig. S1, respectively. Average 238U/206Pb of the dolomite precursor mineral were calculated for all data (n = 65). Derivation for this calculation is given in Note S1, and the code is available online at69 . We reported for all 238U/206Pb values greater than zero (n = 54). Negative average 238U/206Pb values emerge from samples having older than stratigraphic U–Pb ages or initial 207Pb/206Pb ratios above the terrestrial evolution trend.
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Publication 2024
Salt-bearing dolomite particles were calcined in a tubular furnace to obtain products for further analysis. The powders of fixed mass (20 ± 0.05 g) were placed in an alumina crucible and inserted in the tubular furnace that was pre-heated to target temperatures. A thermocouple was inserted into the tubular furnace and contacted with the crucible to monitor the temperature variations. After a certain time, the samples were taken out, and then cooled and sealed for further analysis. XRD tests of half-calcined dolomite were performed with a Rigaku Smartlab 9kW using Cu-Kα as the radiation source. The XRD patterns were collected in the 2θ range of 20° to 70° at a step of 0.01° and 0.6 s per step. The phase identification was performed using the MID Jade 6 software with the Inorganic Crystal Structure Database (ICSD). The inclusion of Mg in the calcite lattice (XMg) was calculated based on the shift in the (202) diffraction peak: where d(202)c is the d-spacing of calcite (0.2095 nm), d(202)m is the d-spacing of magnesite (0.1939 nm), and d202 is the d-spacing of magnesian calcite determined by XRD analysis.
Publication 2024

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More about "Dolomite"

Dolomite is a versatile and widely-used mineral that has a diverse range of industrial and commercial applications.
Composed of calcium magnesium carbonate (CaMg(CO3)2), this sedimentary rock is commonly found in marine environments and is often associated with limestone.
The unique properties of dolomite, such as its hardness, resistance to weathering, and thermal stability, make it a valuable resource for many industries.
Dolomite is utilized as a source of magnesium, a flux in steelmaking, and a filler in paints, plastics, and rubber.
It is also employed in construction, agriculture, and water treatment.
Researchers studying dolomite can optimize their work by leveraging tools like PubCompare.ai.
This powerful platform enables enhanced reproducibility, locates relevant protocols from literature, preprints, and patents, and helps identify the best protocols and products to improve research outcomes.
In addition to dolomite, researchers may also explore other related minerals and materials, such as NextSeq 500 sequencing systems, Oligo beads for DNA/RNA synthesis, Pico-Surf™ 1 surfactant, HFE-7500 fluorinated solvent, MRS broth for culturing microorganisms, SmartLab X-ray diffractometers, D8 Advance X-ray diffractometers, A5030 centrifuges, Perfluoro-1-octanol as a fluorinated solvent, and Q55 with CL-188 immersion probe for thermal analysis.
By leveraging a diverse range of tools and materials, researchers can enhance the depth and breadth of their dolomite-related studies.