Ammonium nickel sulfate
It is a green crystalline solid that is soluble in water and used in various industrial and research applications.
As a metal salt, ammonium nickel sulfate has applications in electroplating, pigments, and as a precursor for other nickel compounds.
In scientific research, it may be employed as a source of nickel ions for studies involving metal-based catalysts, biochemical reactions, or materials science.
The chemical and physical properties of ammonium nickel sulfate make it a versatile tool for researchers across multple disciplines.
Most cited protocols related to «Ammonium nickel sulfate»
Protein Expression, Purification, and Crystallization—The gene encoding single chain (VH-linker-VL) antibody 80R (scFv) was cloned into pET22b (Novagen) containing an N-terminal periplasmic secretion signal pelB, and a thrombin-removable C-terminal His6 tag. 80R was overexpressed in BL21(DE3) cells at 30 °C for 15 h with 1 m
The gene encoding S1-RBD (residues 318-510) was cloned into vector pAcGP67A (Pharmingen) containing an N-terminal gp67 secretion signal and a thrombin-cleavable C-terminal His6 tag. It was expressed in Sf9 cells (Invitrogen) with a multiplicity of infection = 5 for 72 h. Similar to 80R, S1-RBD was purified from the media with HisBind nickel-nitrilotriacetic acid and Superdex 200 columns, with thrombin digestion. N-Linked glycosylation was removed by incubation with peptide:N-glycosidase F (New England Biolabs) at 23 °C, as monitored by SDS-PAGE. S1 RBD-80R complexes were formed by mixing the two purified components and isolated by gel filtration with Superdex 200 in 10 m
Crystals grew by the hanging drop vapor diffusion method at 17 °C over ∼21 days. For S1-RBD, 2 μl of S1-RBD was mixed with an equal volume of well solution containing 4% w/v polyethylene glycol 4000, 0.1
Data Collection, Structure Determination, and Refinement— X-ray diffraction data were collected at the National Synchrotron Light Source beamline X6A and X29A for S1-RBD crystals, the Stanford Synchrotron Radiation Laboratory beamline 11.1, and at the Advanced Light Source beamlines 5.0.3 and 12.3.1 for crystals of the S1-RBD-80R complex. Glycerol (25%) was used as a cryoprotectant in both cases. All the data were processed with DENZO and SCALEPACK or with the HKL2000 package (8 ). Crystals of S1 RBD adopt space group P43212 with unit cell dimensions a = 75.9 and c = 235.8 (
Data collection and refinement statistics
Cell parameters | a = 75.9, c = 235.9 Å | a = 47.5, b = 175.9, c = 67.6 Å; β = 96.6° |
Space group | P43212 | P21 |
Resolution (Å) | 2.2 | 2.3 |
Total reflections | 233011 | 159047 |
Unique reflections | 36036 | 51915 |
Completeness (%) | 99.9 (99.9) | 93.8 (87.0) |
Average I/σ(I) | 24.7 (2.0) | 8.8 (1.9) |
Rmerge | 0.098 (0.739) | 0.145 (0.571) |
Redundancy | 6.5 | 3.1 |
Rwork | 0.182 (0.230) | 0.248 (0.301) |
Rfree (5% data) | 0.213 (0.289) | 0.295 (0.391) |
r.m.s.d. bond distance (Å) | 0.013 | 0.009 |
r.m.s.d. bond angle (°) | 1.49 | 1.22 |
Average B value | 50.0 | 37.1 |
Solvent atoms | 152 | 470 |
Residues in most favored regions | 276 | 631 |
Residues in additional allowed regions | 35 | 81 |
Residues in generously allowed regions | 3 | 5 |
Residues in disallowed regions | 0 | 0 |
Numbers in parentheses correspond to the highest resolution shell (2.28-2.20 Å for S1 RBD; 2.29-2.38 Å for S1 RBD-80R)
Numbers in parentheses correspond to the highest resolution shell (2.26-2.20 Å for S1 RBD; 2.29-2.38 Å for S1 RBD-80R)
r.m.s.d., root meant square deviation
where A and B were obtained by least square fitting of the averaged measured intensities. The ratio of the parameters B and A (B/A = 0.65) coincided with the height ratio of the Patterson peak at (1/3, 0, 0), as required by the lattice-translocation theory presented by Wang. The corrected intensity distribution (
The structure of uncomplexed S1-RBD (which showed no lattice defects) was determined by molecular replacement with PHASER (13 (link)) using S1-RBD from the structure of the S1-RBD-ACE2 complex (Protein Data Bank code 2AJF) as the search model. The asymmetric unit contains two molecules of S1-RBD arranged as a symmetric dimer. The final model includes residues 320-503 of both monomers and 152 water molecules.
Geometric parameters are excellent as assessed with PRO-CHECK (18 ) (
In addition to these ten mice, four adult male mice (C57BL/6 strain) were stained for dopamine and four adult male mice for AChE, myelin, and immunohistochemically for SMI, PV and CB. For each staining, a different set of sections with several consecutive sections stained with Nissl at HBMU’s laboratory was used. The antibodies applied were the dopamine (DA) antibody (Geffard et al. 1984 (link)), SMI-32 antibody (Sternberger Monoclonals Inc., Baltimore, MD, USA: monoclonal antibody to one epitope of non-phosphorylated tau neurofilaments, lot number 11), SMI-311antibody (pan-neuronal neurofilament marker cocktail of several monoclonal antibodies for several epitopes of non-phosphorylated tau protein, Sternberger Monoclonals Inc., Baltimore, MD, USA: lot number 9) (SMI antibodies are presently distributed through Covance Research Products, USA), monoclonal anti-CB D-28K antibody (Sigma, St. Louis, MO, USA: product number C-9848, clone number CB-955, lot number 015K4826), and monoclonal anti-PV antibody (Sigma, St. Louis, MO, USA: product number P-3171, clone number PA-235, lot number 026H4824). Mice to be stained for DA were intracardially perfused under deep pentobarbital anesthesia (1 ml/kg body weight, i.p.), with saline followed by fixative. For DA staining, the fixative was 5% glutaraldehyde in 0.05 M acetate buffer at pH 4.0. After perfusion, the brains were immersed in 0.05 Tris containing 1% sodium disulfite (Na2S2O5) at pH 7.2 (De Brabander et al. 1992 (link)). Mouse PFC was sectioned at 40 μm by a vibratome. These sections were stained overnight in a cold room at 4°C using the polyclonal primary antibody sensitive to DA that was raised in the Netherlands Institute for Brain Research (NIBR) (Geffard et al. 1984 (link)), the specificity of which had been demonstrated previously (Kalsbeek et al. 1990 (link)). DA antiserum was diluted 1:2,000 in 0.05 M Tris containing 1% Na2S2O5 and 0.5% Triton X-100, pH 7.2. After overnight incubation, the sections were washed three times with Tris-buffered saline (TBS) and subsequently incubated in the secondary antibody goat–antirabbit, also raised in NIBR at 1:100 for 1 h. After having been rinsed 3× in TBS, it was incubated in the tertiary antibody, peroxidase–antiperoxidase, at 1:1,000 for 60 min. Both the secondary and the tertiary antibodies were diluted in TBS with 0.5% gelatine and 0.5% Triton X-100. For visualization, the sections were transferred into 0.05% diaminobenzidine (DAB; Sigma) with 0.5% nickel ammonium sulfate. The reaction was stopped after a few minutes by transferring the sections to TBS (3 × 10 min), then the sections were mounted on slides, air dried, washed, dehydrated and coverslipped.
Mice to be stained with anti-PV, anti-CB and SMI-32 and SMI-311 were fixed with 4% formaldehyde solution in 0.1 M phosphate buffer at pH 7.6. Mouse PFC was sectioned at 40 μm by a vibratome. To prevent endogenous peroxidase activity, free-floating sections were pretreated for 30 min in a Tris-buffered saline (TBS) solution containing 3% hydrogen peroxide and 0.2% Triton X-100. To prevent non-specific antibody staining, these sections were placed in a milk solution (TBS containing 5% nonfat dry milk and 0.2% Triton X-100) for 1 h. Incubation of the primary antibody, directly after the milk step was carried out overnight in a cold room at 4°C. The primary antibodies were diluted in the above-mentioned milk solution: SMI-32 and SMI-311 at 1:1,000, PV antibody at 1:1,000, and CB antibody at 1:250. For the monoclonal SMI-32, SMI-311, PV and CB antibodies, raised in mice, we used peroxidase-conjugated rabbit–antimouse (1:100 in 5% milk solution with 0.2% Triton X-100) as a secondary antibody. Visualization took place in 0.05% diaminobenzidine enhanced with 0.2% nickel ammonium sulfate. The reaction was stopped after a few minutes by transferring these sections to TBS (3 × 10 min), after which the sections were rinsed in distilled water, mounted on slides, air dried, washed, dehydrated and coverslipped. Control sections that were incubated according to the same procedure as described above, omitting the primary antibody, were all negative. All sections were cut coronally, because the coronal plane offers in general the best view to differentiate between the subareas of the rodent PFC (Uylings et al. 2003 (link); Van de Werd and Uylings 2008 (link)).
Sections were processed for AChE staining according to the protocol described by Cavada et al. (1995 (link)). The sections were incubated overnight in a solution of cupric sulfate and acetate buffer at pH 5 to which acetylthiocholine iodide and ethopropazine were added just before the start of incubation. After rinsing, the sections were developed in a sodium sulfide solution until a light brown color appeared and subsequently intensified to a dark brown color in a silver nitrate solution. Finally, the sections were differentiated after rinsing in a thiosulfate solution, dehydrated and mounted. In all steps, the solutions and sections were shaken constantly. The myelin was stained with silver by physical development according to Gallyas (1979 (link)). The sections were first placed in 100% ethanol and then immersed in a 2:1 solution of pyridine and acetic acid for 30 min. After rinsing, they were placed in an ammonium silver nitrate solution and after rinsing with 0.5% acetic acid, the sections were immersed in the optimal physical developer solution at room temperature (Gallyas 1979 (link)) until they showed good stain intensity under the microscope. Then the development of the staining was stopped in 0.5% acetic acid and the sections were dehydrated and mounted with Histomount. The sections were studied at intervals of 80–160 μm, and examined under a light microscope at a 63× magnification.
Daily air pollution measures were obtained for 2000 through 2006 (U.S. EPA 2011a ). Pollutant monitors were matched to U.S. census tracts, which are geographic units representing small subdivisions of a county and are the smallest spatial unit for which demographic variables of interest were available. Tracts from the 2000 Census (U.S. Census Bureau 2007 ) were designed to have an optimal population of 4,000 persons (range, 1,500–8,000) and to follow government boundaries (e.g., county), geographic features (e.g., rivers), or other identifiable features (e.g., roadways), where possible. The median land area of the 2000 census tracts in the continental United States was 5.06 km2.
Census tracts in the continental United States were included in our analysis if they had PM2.5 component monitors in operation for ≥ 3 years with ≥ 180 days of observations during the study period. Results were based on 219 monitors in 215 census tracts. Land use near monitors was 43% residential, 34% commercial, 8% industrial, 8% agricultural, and 4% forest.
We calculated long-term averages for each pollutant and 2000 census tract with a monitor for that pollutant. If multiple monitors were present for the same pollutant in a single tract, we averaged daily monitor values within a tract, and then averaged daily values to generate long-term averages. The population and area of census tracts varied. The mean (± SD) distance between a census tract’s centroid and monitor was 2.3 km ± 4.9 km (median 0.8 km; maximum 46.7 km).
For each census tract, we considered population characteristics (U.S. Census 2007 ):
We excluded census tracts with populations ≤ 100 (n = 1; for tract with population = 1). For each population characteristic and category (e.g., race/ethnicity, Hispanic), we estimated the average exposure to each pollutant for that group in the United States as a whole by weighting levels in each census tract by the population as
where Yik is the national average estimated exposure to pollutant k for persons with characteristic i (e.g., Hispanic), j is the number of census tracts with pollutant data (J = 215), Pi,j is the number of persons with characteristic i in census tract j, and xjk is the concentration of pollutant k for census tract j. This provides an estimate of average exposure for each pollutant and population group, accounting for population size and pollutant levels in each census tract. In addition, we performed univariate regression to estimate differences in exposure to PM2.5 and for each component according to census tract characteristics (e.g., percentage of persons unemployed), which are expressed as the percent change in exposure compared with overall mean levels associated with a 10% increase in a given population characteristic.
Whereas the regression analysis investigated whether some groups had higher exposures than others among areas with monitors, we further contrasted population characteristics between census tracts with and without monitors for PM2.5 or its components. We calculated population characteristics for census tracts with and without monitors and performed univariate logistic regression to estimate the percent increase in the probability of a census tract having a monitor with a 10% increase in each population characteristic. This analysis investigated whether some populations are better covered by the existing monitoring network than others.
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More about "Ammonium nickel sulfate"
This green crystalline solid is soluble in water and has a wide range of industrial and research applications.
As a metal salt, ammonium nickel sulfate is used in electroplating, pigments, and as a precursor for other nickel compounds.
In scientific research, it is often employed as a source of nickel ions for studies involving metal-based catalysts, biochemical reactions, and materials science.
The chemical and physical properties of ammonium nickel sulfate make it a valuable tool for researchers across multiple disciplines.
Related compounds like 3,3′-diaminobenzidine, a chromogenic substrate used in immunohistochemistry, and the Vectastain Elite ABC kit, which utilizes the avidin-biotin complex (ABC) to amplify signal detection, are often used in conjunction with ammonium nickel sulfate in various experimental setups.
Salts such as NaCl, KCl, and sodium hydroxide may also be employed in the preparation and analysis of ammonium nickel sulfate samples.
Ammonium nickel sulfate's versatility and its role as a source of nickel ions make it a key component in a wide range of research applications, from catalysis and materials science to biochemistry and cell biology.
Optimizing the use of ammonium nickel sulfate and related compounds can be greatly facilitated by AI-driven research platforms like PubCompare.ai, which help researchers identify the most effective and reproducible protocols and products for their specific needs.