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Span 80

Span 80 is a nonionic surefactant widely used in pharmaceutical and biomedical applications.
It is commonly employed as an emulsifier, solubilizer, and stabilizer in drug formulations.
Span 80 has a hydrophilic-lipophilic balance (HLB) value of 4.3, making it suitable for the preparation of water-in-oil emulsions.
Its versatility and ability to enhance the bioavailability of lipophilic drugs have made Span 80 a valuable excipient in the development of novel drug delivery systems.
Researchers and formulators often utilize Span 80 to improve the solubility, stability, and targeted delivery of a variety of therapeutic agents.
Whule its applications continue to expand, Span 80 remains an important tool in the optimization of pharmaceutical and biomedical protocols.

Most cited protocols related to «Span 80»

Each metric is computed using sliding windows from 10 to 100 genes wide, starting at every gene along the sequence, and all scores greater than 2 are stored. Local maxima of significance score are then searched and the associated set of genes is defined as a putative viral region. These different predictions (based on the metrics above) are then merged when overlapping (extending the regions to include all predicted windows), leading to a list of putative viral regions associated with a (set of) metric(s). These regions are classified into three categories: (i) category 1 (“most confident” predictions) regions have significant enrichment in viral-like genes or non-Caudovirales genes on the whole region and at least one hallmark viral gene detected; (ii) category 2 (“likely” predictions) regions have either enrichment in viral-like or non-Caudovirales genes, or a viral hallmark gene detected, associated with at least one other metric (depletion in PFAM affiliation, enrichment in uncharacterized genes, enrichment in short genes, depletions in strand switch); and (iii) category 3 (“possible” predictions) regions have neither a viral hallmark gene nor enrichment in viral-like or non-Caudovirales genes, but display at least two of the other metrics with at least one significance score greater than 4. Finally, if a predicted region spans more than 80% of predicted genes on a contig, the entire contig is considered viral. A summary of VirSorter detection types is displayed in Fig. 1B.
Next, higher confidence predictions are used to refine the sequence space search. Specifically, sequences from all open reading frames from category 1 predictions that do not match a viral protein cluster are clustered and added to the reference database (RefSeqABVir or Viromes depending on the initial user choice). This updated database is then used in another round of search by VirSorter. This iteration where category 1 sequences are used to refine the searches is continued until no new genes are added to the database. Once no new genes are added, the final VirSorter output is provided to the user and includes nucleotide sequences of all predicted viral sequences in fasta files, an automatic annotation of each prediction in genbank file format, and a summary table displaying for each prediction the associated category and significance scores of all metrics. By providing the predictions and the underlying significance scoring, users can evaluate each prediction and apply custom thresholds on significance scores through a simple text-parsing script, even for large-scale datasets.
VirSorter is available as an application (App) in the iPlant discovery environment (https://de.iplantcollaborative.org/de/) under Apps/Experimental/iVirus (see Fig. S1 for a step-by-step guide of VirSorter app on iPlant). This application allows users to search any set of contigs for viral sequences using either the RefSeqABVir or the Viromes database. The reference values of VirSorter metrics will be evaluated on the complete set of input sequences, hence mixed datasets should be sorted (when possible) by type of bacteria or archaea in order to get the most accurate result possible. In addition to these reference databases, the VirSorter App on iPlant allows users to input their own reference viral genome sequence already assembled or to-be assembled using iPlant Apps prior to analysis with VirSorter. Assembled sequences are processed as follows: (i) genes are predicted with MetaGeneAnnotator (Noguchi, Taniguchi & Itoh, 2008 (link)), (ii) predicted proteins are clustered with sequences from the user-selected database (either RefSeqABVir or Viromes), and (iii) unclustered proteins are added to the “unclustered” pool. VirSorter scripts are also available through the github repository https://github.com/simroux/VirSorter.git.
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Publication 2015
Archaea Bacteria Caudovirales CTSB protein, human Genes Genes, vif Genes, Viral Open Reading Frames Proteins Span 80 Viral Genome Viral Proteins Virome
To define isoforms from the sets of native RNA and cDNA reads, we used FLAIR v1.4, a version of FLAIR52 (link) with additional considerations for native RNA nanopore data. For our analysis, we first removed reads generated by lab 6, because a disproportionate number of those molecules appeared to be truncated prior to addition to the nanopore flow cell. We also removed 71,276 aligned reads with deletions greater than 100 bases caused by minimap2 version 2.1. We then selected reads that had TSSs within promoter regions that were computationally derived from ENCODE ChIP-Seq data18 (link),19 (link). Using FLAIR-correct, we corrected primary genomic alignments for pass reads based on splice junction evidence from GENCODE v27 annotations and Illumina short-read sequencing of GM12878. This step also removes reads containing non-canonical splice junctions not present in the annotation or short-read data. The filtered and corrected reads were then processed by FLAIR-collapse which generates a first-pass isoform set by grouping reads on their splice junctions chains. Next, pass reads were realigned to the first-pass isoform set, retaining alignments with MAPQ>0. Isoforms with fewer than 3 supporting reads or those which were subsets of a longer isoform were filtered out to compile the FLAIR-sensitive isoform set. A FLAIR-stringent isoform set was also compiled by filtering the FLAIR-sensitive set for isoforms which had 3 supporting reads that spanned ≥80% of the isoform and a minimum of 25nt into the first and last exons. Unannotated isoforms were defined as those with a unique splice junction chain not found in GENCODE v27. Isoforms were considered intron-retaining if they contained an exon which completely spanned another isoform’s splice junction. Isoforms with unannotated exons were defined as those with at least one exon that did not overlap any existing annotated exons in GENCODE v27. Genes that did not contain an annotated start codon were considered non-coding genes.
Publication 2019
Cells Chromatin Immunoprecipitation Sequencing Codon, Initiator DNA, Complementary Exons Gene Deletion Genes Genome Introns Protein Isoforms RNA Isoforms Shock Span 80 Toxic Shock Syndrome

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Publication 2019
3T3 Cells Amino Acids, Essential Antigens Antigens, CD27 ARID1A protein, human austin B-Lymphocytes BLOOD Buffers Cells DNA, Complementary dodecyl sulfate, lithium salt Edetic Acid Emulsions Enzymes Fibroblasts Genes, Immunoglobulin Homo sapiens Immunoglobulins interleukin-21 Light Microscopy Memory B Cells Microscopy Microspheres Needles Nested Polymerase Chain Reaction Oil, Mineral Penicillins Poly T Pyruvate Reverse Transcriptase Polymerase Chain Reaction Sodium Span 80 SPN protein, human Stem Cells Streptomycin Transcription, Genetic Triton X-100 Tromethamine Tween 80 Vaccines
Stearic acid and SPAN 80 were purchased from Merck (Merck KGaA, Darmstadt, Germany). Arachidic acid, Tween 60, Tween 80, poly(vinyl alcohol), L-lysine monohydrochloride, lithium carbonate, dansyl chloride, methylamine hydrochloride, triethylamine and sodium acetate were purchased from Sigma-Aldrich (St. Louis, MO, USA) and Miglyol 812 was purchased from Caelo (Caesar & Loretz GmbH, Hilden, Germany). Precirol ATO 5 and Compritol 888 ATO were kindly provided by Gattefossé (Saint Priest Cedex, France). L-Phenylalanine ethyl-ester hydrochloride was purchased from Fluka (Fluka Chemie GmbH, Buchs, Switzerland), acetic acid was obtained from VWR Chemicals (VWR International S.A.S., Fontenay-sous-Bois, France) and acetonitrile and methanol were obtained from Honeywell (Honeywell Riedel-de Häen AG, Seelze, Germany). Aqueous solutions were prepared with double-deionized water (Arium Pro, Sartorius AG, Göttingen, Germany).
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Publication 2020
Acetic Acid acetonitrile arachidic acid Cedax Compritol ATO 888 dansyl chloride L-phenylalanine ethylester Lithium Carbonate Lysine Methanol methylamine hydrochloride miglyol 812 Polyvinyl Alcohol precirol ATO 5 Sodium Acetate Span 80 stearic acid triethylamine Tween 60 Tween 80
As mentioned above, all recordings were performed on a custom-made 512-electrode array system [8] . The flat electrodes were 5 µm in diameter and spaced 60 µm apart in a hexagonal lattice. The recording area was a 0.9 mm by 1.9 mm rectangle. Cultured brain tissues were gently placed on the electrode array using tweezers to hold the filter paper such that the tissue side was facing down and either the cortex or the hippocampus was centered on the array. Typically, the cortex was larger than the size of the array, and the short side (0.9 mm) of the array spanned across 70–80% of the thickness of the cortex. The hippocampus was smaller than the array, covering approximately ∼70% of the active area of the array. A small harp (∼1.3 g) with fine mesh (160 µm pore size) was placed on the filter paper on top of the tissue in order to ensure better contact between the tissue and the array. The tissue was perfused with oxygenated (95% O2/5% CO2) culture medium at a flow rate of 3 ml/min. After waiting for 30 minutes to allow the tissue to develop stable spiking activity, extracellular signals were recorded for 60 minutes on each of the 512 electrode channels at a sampling rate of 20 kHz. Raw waveforms were then spike-sorted with a well-established method developed by Litke et al. [8] , with slight adjustment of the parameters for cortical brain slices. Briefly, signals that crossed a threshold of 8 SDs were marked, and the waveforms found at the marked electrode and its six adjacent neighbors were projected into five dimensional principal component space. A mixture of Gaussians model was fit to the distribution of features based on an expectation maximization algorithm. Duplicate neurons, neurons that had refractory period violations, and neurons with too few spikes (less than 100 spikes/hour) were excluded from further analysis.
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Publication 2014
Brain Cortex, Cerebral Culture Media Neurons Seahorses Span 80 Tissues

Most recents protocols related to «Span 80»

Example 6

10 parts by weight of graphene oxide dispersion (concentration, 3%; particle size, 7 μm), one part by weight of glycerol and two parts by weight of PEG were stirred and mixed at 50° C. to form a first mixture.

25 parts of MTES, 15 parts by weight of MTMS, 20 parts by weight of OTEOS, three parts by weight of Span 80 and two parts by weight of Tween were stirred and mixed at 60° C. to form a second mixture. The second mixture was allowed to stand for 24 h at 60° C.; then the second mixture was dropped into the first mixture at 3,000 r/min and 60° C. The dropping speed was 5 ml/min. After stirring for 2.5 h, 70 parts by weight of TEOS was dropped into a mixture of both to obtain a graphene oxide-TEOS/silane composite gel material.

The graphene oxide-TEOS/silane composite gel material was roll-coated twice on the surface of a concrete matrix, with a total coating amount of 600 g/m2. After coating, a plastic film was covered on the surface of the matrix and uncovered seven days after covering. The test results showed that the concrete had a surface contact angle of up to 125°, a water absorption coefficient by capillarity of 50.6 g·m−2·h1, and a chloride diffusion coefficient of 2.8×10−12 m2·s−1.

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Patent 2024
Capillarity Chlorides Diffusion Glycerin Graphene graphene oxide Silanes Span 80 Tweens X-Linked Centronuclear Myopathy

Example 3

40 parts by weight of graphene oxide dispersion (concentration, 2%; particle size, 8 m), two parts by weight of PVA, and two parts by weight of PEG were stirred and mixed at 50° C. to form a first mixture.

60 parts of isobutyl(trimethoxy)silane, two parts by weight of Tween and three parts by weight of Span 80 were stirred and mixed at 60° C. to form a second mixture. The second mixture was allowed to stand for 24 h at 60° C.; then the second mixture was dropped into the first mixture at 3,000 r/min and 60° C. The dropping speed was 4 ml/min. After stirring for 3 h, 40 parts by weight of TEOS was dropped into a mixture of both to obtain a graphene oxide-TEOS/silane composite gel material.

The graphene oxide-TEOS/silane composite gel material was roll-coated twice on the surface of a concrete matrix, with a total coating amount of 600 g/m2. After coating, a plastic film was covered on the surface of the matrix and uncovered seven days after covering. The test results showed that the concrete had a surface contact angle of up to 118°, a water absorption coefficient by capillarity of 55.1 g·m−2·h−1, and a chloride diffusion coefficient of 3.5×10−12 m2·s−1.

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Patent 2024
Capillarity Chlorides Diffusion Graphene graphene oxide Silanes Span 80 Tweens

Example 5

20 parts by weight of graphene oxide dispersion (concentration, 5%; particle size, 6 m), one part by weight of glycerol and two parts by weight of PEG were stirred and mixed at 50° C. to form a first mixture.

15 parts of VTMS, 20 parts by weight of MTES, 15 parts by weight of triethoxy(isobutyl)silane, one part by weight of Span 80 and two parts by weight of Tween were stirred and mixed at 60° C. to form a second mixture. The second mixture was allowed to stand for 24 h at 60° C.; then the second mixture was dropped into the first mixture at 3,000 r/min and 60° C. The dropping speed was 5 ml/min. After stirring for 2.5 h, 30 parts by weight of TEOS was dropped into a mixture of both to obtain a graphene oxide-TEOS/silane composite gel material.

The graphene oxide-TEOS/silane composite gel material was roll-coated twice on the surface of a concrete matrix, with a total coating amount of 600 g/m2. After coating, a plastic film was covered on the surface of the matrix and uncovered seven days after covering. The test results showed that the concrete had a surface contact angle of up to 112°, a water absorption coefficient by capillarity of 36.5 g·m−2·h−1, and a chloride diffusion coefficient of 2.3×1012 m2·s−1.

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Patent 2024
Capillarity Chlorides Diffusion Glycerin Graphene graphene oxide Silanes Span 80 Tweens

Example 4

45 parts by weight of graphene oxide dispersion (concentration, 0.5%; particle size, 4 m), two parts by weight of glycerol and two parts by weight of PVA were stirred and mixed at 50° C. to form a first mixture.

60 parts of isobutyl(trimethoxy)silane, 20 parts by weight of MTES, 30 parts by weight of triethoxy(isobutyl)silane, two parts by weight of Span 80 and two parts by weight of Peregal O were stirred and mixed at 60° C. to form a second mixture. The second mixture was allowed to stand for 24 h at 60° C.; then the second mixture was dropped into the first mixture at 3,000 r/min and 60° C. The dropping speed was 5 ml/min. After stirring for 2.5 h, 80 parts by weight of TEOS was dropped into a mixture of both to obtain a graphene oxide-TEOS/silane composite gel material.

The graphene oxide-TEOS/silane composite gel material was roll-coated twice on the surface of a concrete matrix, with a total coating amount of 600 g/m2. After coating, a plastic film was covered on the surface of the matrix and uncovered seven days after covering. The test results showed that the concrete had a surface contact angle of up to 110°, a water absorption coefficient by capillarity of 45.6 g·m−2·h−1, and a chloride diffusion coefficient of 1.5×10−12 m2·s1.

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Patent 2024
Capillarity Chlorides Diffusion Glycerin Graphene graphene oxide Silanes Span 80

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Publication 2023
Buffers DNA Library Emulsions Endothelial Protein C Receptor Flow Cytometry Fluorescence Magnesium Chloride Medical Devices Oil, Mineral Oligonucleotide Primers Span 80 Triton X-100 Tween 80

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Span 80 is a non-ionic surfactant. It is a viscous, colorless liquid. Span 80 is commonly used as an emulsifier, wetting agent, and dispersing agent in various industrial applications.
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Tween 80 is a non-ionic surfactant and emulsifier. It is a viscous, yellow liquid that is commonly used in laboratory settings to solubilize and stabilize various compounds and formulations.
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Ethanol is a clear, colorless liquid chemical compound commonly used in laboratory settings. It is a key component in various scientific applications, serving as a solvent, disinfectant, and fuel source. Ethanol has a molecular formula of C2H6O and a range of industrial and research uses.
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Methanol is a clear, colorless, and flammable liquid that is widely used in various industrial and laboratory applications. It serves as a solvent, fuel, and chemical intermediate. Methanol has a simple chemical formula of CH3OH and a boiling point of 64.7°C. It is a versatile compound that is widely used in the production of other chemicals, as well as in the fuel industry.
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Tween 20 is a non-ionic detergent commonly used in biochemical applications. It is a polyoxyethylene sorbitan monolaurate, a surfactant that can be used to solubilize and stabilize proteins and other biomolecules. Tween 20 is widely used in various laboratory techniques, such as Western blotting, ELISA, and immunoprecipitation, to prevent non-specific binding and improve the efficiency of these assays.
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Sorbitan monooleate, also known as Span 80, is a non-ionic surfactant. It is primarily used as an emulsifier, wetting agent, and dispersing agent in various laboratory and industrial applications.
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Span 80 is a non-ionic surfactant, commonly used as an emulsifying agent in various laboratory applications. It is a viscous, colorless to pale yellow liquid with a slight odor. Span 80 is soluble in organic solvents and has the ability to reduce the surface tension between two immiscible liquids, enabling the formation of stable emulsions.
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DMSO is a versatile organic solvent commonly used in laboratory settings. It has a high boiling point, low viscosity, and the ability to dissolve a wide range of polar and non-polar compounds. DMSO's core function is as a solvent, allowing for the effective dissolution and handling of various chemical substances during research and experimentation.
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Acetonitrile is a colorless, volatile, flammable liquid. It is a commonly used solvent in various analytical and chemical applications, including liquid chromatography, gas chromatography, and other laboratory procedures. Acetonitrile is known for its high polarity and ability to dissolve a wide range of organic compounds.
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Mineral oil is a clear, odorless, and colorless liquid derived from petroleum. It is commonly used as a lubricant, solvent, and base for various personal care and pharmaceutical products.

More about "Span 80"

Span 80 is a versatile nonionic surfactant with a wide range of applications in the pharmaceutical and biomedical industries.
Also known as sorbitan monooleate, this excipient is commonly employed as an emulsifier, solubilizer, and stabilizer in drug formulations.
Its hydrophilic-lipophilic balance (HLB) value of 4.3 makes it well-suited for the preparation of water-in-oil emulsions.
Span 80's ability to enhance the bioavailability of lipophilic drugs has made it a valuable tool in the development of novel drug delivery systems.
Researchers and formulators often utilize Span 80 in conjunction with other excipients, such as Tween 80, ethanol, methanol, Tween 20, DMSO, and acetonitrile, to optimize the solubility, stability, and targeted delivery of a variety of therapeutic agents.
The versatility of Span 80 extends beyond its pharmaceutical applications.
It is also commonly used in cosmetic and personal care products, as well as in the formulation of emulsions, ointments, and gels for various biomedical applications.
The synergistic effects of Span 80 with other excipients, such as mineral oil, have been explored to further enhance its performance and versatility.
As the field of pharmaceutical and biomedical research continues to evolve, the importance of Span 80 as a valuable excipient in the optimization of drug delivery systems is expected to grow.
Researchers and formulators can leverage the power of AI-driven protocol optimization tools, such as PubCompare.ai, to streamline their workflows and boost productivity while exploring the full potential of Span 80 and related excipients.