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1,3-propanediol

1,3-Propanediol: A versatile organic compound with diverse applications in chemical synthesis and biotechnology.
Widely used as a building block for polymers, solvents, and other value-added products.
Discover efficient protocols for 1,3-propanediol production, optimization, and analysis through the power of AI-driven literature comparison on PubCompare.ai.
Enhance reproducibility, accuracy, and streamline your 1,3-propanediol research process.

Most cited protocols related to «1,3-propanediol»

1
Quantifying Ligand Binding to PXR
Vinblastine was obtained from Tocris Bioscience
(Minneapolis, MN, USA); GST-hPXR-LBD, LanthaScreen Tb-anti-GST antibody,
TR-FRET PXR (SXR) assay buffer, BODIPY FL Vinblastine, and 1 M DTT
(dithiothreitol) were purchased from Invitrogen (Carlsbad, CA, USA);
human glutathione S transferase protein (GST) was purchased from Abcam
(Cambridge, MA, USA); catharanthine and vindoline were purchased from
LKT Laboratories, Inc. (St. Paul, MN, USA); deacetyl Vinblastine was
purchased from Toronto Research Chemicals, Inc. (Toronto, Ontario,
Canada); dimethyl sulfoxide (DMSO) was purchased from Fisher Scientific
(Pittsburgh, PA, USA); TO901317 was purchased from Cayman Chemical
(Ann Arbor, MI, USA); SR12813 was purchased from Enzo Life Sciences
(Farmingdale, NY, USA); clotrimazole, rifampicin, 2-amino-2-(hydroxymethyl)-1,3-propanediol
(Tris), potassium chloride (KCl), 3-[(3-cholamidopropyl)dimethylammonio]-1-propanesulfonate
hydrate (CHAPS), and bovine serum albumin (BSA) were purchased from
Sigma (St. Louis, MO, USA); hyperforin, ginkgolide A, and ginkgolide
B were purchased from Santa Cruz Biotechnology (Santa Cruz, CA, USA);
and black 384-well polypropylene plates were purchased from Matrical
Bioscience (Spokane, WA, USA).
Lin W., Liu J., Jeffries C., Yang L., Lu Y., Lee R.E, & Chen T. (2014). Development of BODIPY FL Vindoline as a Novel and High-Affinity Pregnane X Receptor Fluorescent Probe. Bioconjugate Chemistry, 25(9), 1664-1677.
Publication 2014
1,3-propanediol 3-((3-cholamidopropyl)dimethylammonium)-1-propanesulfonate Antibodies, Anti-Idiotypic Biological Assay BODIPY Buffers Caimans catharanthine Clotrimazole Dithiothreitol Fluorescence Resonance Energy Transfer ginkgolide A Glutathione S-Transferase hyperforin NR4A2 protein, human Polypropylenes Proteins Rifampin Serum Albumin, Bovine Sulfoxide, Dimethyl Tromethamine Vinblastine vindoline
2
Genome-Scale Metabolic Modeling of L. reuteri Strains
The in silico reconstruction of the genome-scale metabolic networks of two human-derived L. reuteri strains was performed by implementing the AUTOGRAPH method [73] (link). This semi-automatic method combines orthology predictions with available curated metabolic networks to infer gene-reaction associations. Using this same methodology, a metabolic model was recently constructed for the type strain L. reuteri JCM1112 [56] , based on the networks of L. plantarum[74] (link), Lactococcus lactis[75] (link), Bacillus subtilis[76] (link), and E. coli[77] (link). Due to the obvious close proximity between all human-derived L. reuteri strains relative to members of different taxa, the manually curated metabolic network of JCM1112 was used as a template for the development of the genome-scale models for L. reuteri ATCC PTA 6475 and ATCC 55730. Pair-wise orthologous relationships between the query species and JCM1112 were established by comparing their genome sequences (retrieved in May 2009 from GenBank), resorting to the stand-alone version of Inparanoid (version 3.0) using BLOSUM80 as the substitution matrix [78] (link). The original gene-reaction association of the genes considered to be orthologous between the two strains was then transferred to the corresponding genes of the query species.
The fully automated version of the model was further curated by manual inspection of the list of gene-reaction associations, incorporating experimental evidence regarding carbohydrate utilization. With this purpose, the growth of L. reuteri 55730 and 6475 on different carbohydrates was measured for 24 h in LDMIII at 600 nm (OD600 nm) using commercially available sugars and well established prebiotics as previously described [79] (link). Simple carbohydrates tested consist of glucose, sucrose, lactose, raffinose, fructose, arabinose, maltose, mannose, arabinogalactan, starch and 1,2 propanediol (Sigma, St Louis, MO). Growth on following prebiotics as the sole carbon source were also tested: fructooligosaccharides (FOS, Beneo™ P95, Orafti, Belgium, 5% glucose, fructose and sucrose, degree of polymerization [DP] = 2–10), short-chain fructooligosaccharides (ScFOS, Actilight 950P, Beighin-Meiji, France, 5% glucose, fructose and sucrose, DP = 2–5), high-molecular weight inulin (Beneo™ HP, Orafti, 100% inulin, average DP = 23), galactooligosaccharides (Vivinal GOS, Friesland Food, partially dried by evaporation to form a syrup containing approximately 45% galactooligosaccharides, DP = 3–8, 15% lactose, 14% glucose, and 1% galactose).
The comparison of the newly obtained genome-scale metabolic models for L. reuteri ATCC PTA 6475 and ATCC 55730, along with the visualization of experimental data was carried out within the SimPheny™ software platform (Genomatica, Inc., San Diego, CA).
Saulnier D.M., Santos F., Roos S., Mistretta T.A., Spinler J.K., Molenaar D., Teusink B, & Versalovic J. (2011). Exploring Metabolic Pathway Reconstruction and Genome-Wide Expression Profiling in Lactobacillus reuteri to Define Functional Probiotic Features. PLoS ONE, 6(4), e18783.
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Publication 2011
1,3-propanediol Arabinose Bacillus subtilis Carbohydrates Carbon Food fructooligosaccharide Fructose galactoarabinan Galactose Genes Genome Genome, Human Glucose Homo sapiens Inulin Lactobacillus reuteri Lactococcus lactis Lactose Maltose Mannose Metabolic Networks Monosaccharides Polymerization Prebiotics Raffinose Reconstructive Surgical Procedures Starch Strains Sucrose Sugars
3
Nasal Stimulation Pain Intensity Evaluation

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Publication 2010
1,3-propanediol Gases Healthy Volunteers Humidity myristoyl-L-methionine Nasal Mucosa Odors Pain Pulse Rate Severity, Pain Visual Analog Pain Scale Woman
4
Inducing Cysts in Pathogenic Amoebae
Cysts or precysts (did not fully showed the 2-distinct cyst walls) of N. fowleri, A. castellanii, and A. polyphaga were induced by cultivating on 3 kinds of encystment media (buffer 1: 120 mM NaCl, 0.03 mM MgCl2, 1 mM NaHPO4, 1 mM KH2 PO4, 0.03 mM CaCl2, 0.02 mM FeCl2, H 6.8; buffer 2 [11 (link)]: 95 mM NaCl, 5 mM KCl, 8 mM MgSO4, 0.4 mM CaCl2, 1 mM NaHCO3, 20 mM Tris-HCl, pH 9.0; buffer 3 [6 ]: 100 mM KCl, 8 mM MgSO4, 0.4 mM CaCl2, 20 mM 2-amino-2-methyl-1,3-propanediol, pH 7.6) (Table 1). Amoebic trophozoties (approximately 2×106 cells) were washed with PBS (pH 7.4) twice, and incubated in 24-well plates with 5 ml of each medium, at 30°C or 37°C. Using an optical microscope (Olympus, Shinjuku, Tokyo, Japan), the morphological changes were observed after encystation, and final cysts were re-cultured with fresh Nelson or PYG media, in order to observe the recovered trophozoites.
Sohn H.J., Kang H., Seo G.E., Kim J.H., Jung S.Y, & Shin H.J. (2017). Efficient Liquid Media for Encystation of Pathogenic Free-Living Amoebae. The Korean Journal of Parasitology, 55(3), 233-238.
Publication 2017
1,3-propanediol Amoeba Bicarbonate, Sodium Buffers Cells Cyst Light Microscopy Magnesium Chloride Sodium Chloride Sulfate, Magnesium Tromethamine Trophozoite
5
Chemosensory ERP Responses to Complex Odors

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Publication 2010
1,3-propanediol Blinking Coffee Complex Mixtures Conditioning, Classical Evoked Potentials Movement myristoyl-L-methionine Neoplasm Metastasis Nose Obstetric Delivery Odorants Odors Oils, Fish Potentials, Event-Related Precipitating Factors TNFSF10 protein, human Vision Wakefulness Woman

Most recents protocols related to «1,3-propanediol»

1
Denaturing Proteins for SDS-PAGE
Proteins for SDS-PAGE were denatured by heating to 95°C for 5 min in sample buffer (1% SDS, 5–15 mM DTT, bromphenol blue) and separated using the glycine/2-amino-2-methyl-1,3-propanediol/HCl (ammediol) system in 5–15 or 10–15% acrylamide gradient gels (Bury, 1981 (link)) casted in-house (10 × 10 × 0.15 cm). The gels were stained with Coomassie Brilliant Blue.
Rasmussen C.B., Scavenius C., Thøgersen I.B., Harwood S.L., Larsen Ø., Bjerga G.E., Stougaard P., Enghild J.J, & Thøgersen M.S. (2023). Characterization of a novel cold-adapted intracellular serine protease from the extremophile Planococcus halocryophilus Or1. Frontiers in Microbiology, 14, 1121857.
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Publication 2023
1,3-propanediol 2-amino-2-methyl-1,3-propandiol Acrylamide brilliant blue G Bromphenol Blue Buffers Gels Glycine Proteins SDS-PAGE
2
Nicotine Headspace Concentration Analysis
The different binary solutions
were tested sequentially. The first
set of experiments measured the headspace concentration of nicotine
from binary mixtures with glycerol. A room with a stable temperature
control was used instead of an environmental cabinet to allow ease
of access when sampling. Room temperature was measured at each sampling
time using a Type K thermocouple and an Omega HH11B Digital thermometer
with 0.1 °C resolution. Offset was checked periodically against
ice water in a Dewar flask. Room temperature ranged from 296.25 to
297.85 K with a mean value of 297.25 K. The second set of experiments
measured the headspace concentration of nicotine from binary mixtures
with 1,2-propanediol. A walk-in environmental chamber set to 298.15
K/60% relative humidity was used, and headspace was sampled inside
the environmental chamber. Room temperature was measured at each sampling
time using a Type K thermocouple and ranged from 297.95 to 298.25
K with a mean value of 298.15 K.
St Charles F.K, & Moldoveanu S.C. (2023). Partial Vapor Pressures, Activity Coefficients, Henry Volatility, and Infinite Dilution Activity Coefficients of Nicotine from Binary Mixtures with Glycerol and with 1,2-Propanediol at 298.15 K. ACS Omega, 8(8), 7749-7756.
Publication 2023
1,3-propanediol Glycerin Humidity Nicotine Thumb
3
High-Pressure Treatment of Sea Buckthorn Syrups
The U 4,000 high-pressure vessel (volume of 0.75 L, Unipress, Warsaw, Poland) was used for the high-pressure treatment of the sea buckthorn syrups (600 MPa, initial temperature: 35°C, holding times: 4 and 8 min). Process parameters were chosen based on the industrial standard as well as on expected microbial reduction based on scientific literature (37 (link), 40 (link), 41 (link)). Before treatment, the plastic bags (polyethylene and polyamide layer; Luckfield and Mann GmbH, Kiel, Germany) containing the syrup (300 mL) were vacuum sealed (Plus Vac 23, KOMET Maschinenfabrik GmbH, Plochingen, Germany) and stored at 8°C until processing. Prior to the treatment, the samples were placed in the pressure chamber and a mixture of water and 1,2-propanediol (1:1, v/v; Carl Roth GmbH and Co. KG, Karlsruhe, Germany) served as the pressure-transmitting medium. When 600 MPa were reached, the time measurement began. The temperature rise in the high-pressure vessel caused by the adiabatic heat of compression was max. 20°C, i.e., the final temperature of the syrup never exceeded 35°C. At the end of the holding time, the pressure was automatically released, and the bags were removed. The treated samples were cooled immediately.
Sevenich R., Gratz M., Hradecka B., Fauster T., Teufl T., Schottroff F., Chytilova L.S., Hurkova K., Tomaniova M., Hajslova J., Rauh C, & Jaeger H. (2023). Differentiation of sea buckthorn syrups processed by high pressure, pulsed electric fields, ohmic heating, and thermal pasteurization based on quality evaluation and chemical fingerprinting. Frontiers in Nutrition, 10, 912824.
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Publication 2023
1,3-propanediol Blood Vessel Fever Hippophae rhamnoides Nylons Polyethylene, High-Density Pressure Vacuum
4
Optimizing Anthocyanin Extraction from Juçara Pulp
The central composite rotatable design (CCRD) is a response surface methodology, in which a multivariate statistical tool is applied herein to optimize the extraction conditions of anthocyanins from juçara pulps. The relationship between the response and the independent variables was described according to the following polynomial equation: y=β0+∑i=1kβiXi+∑i=1kβiiXi2+∑i<jkβijXiXj
where β0 represents the intercept or regression coefficient, βi, βii, and βij are the linear, quadratic, and interaction coefficients, respectively, Xiand Xj are the independent variables, and k is the number of variables studied that can influence the response y. In this work, the independent variables were subjected to factorial planning of 23 (3 variables, and 2 levels) to optimize the yield of extraction of anthocyanins (mganthocyanins·mL−1) as the measured response function. Nineteen experiments were performed, including five replicates at the central point. A 90% confidence level was chosen to analyze the results. To verify the significance of the model parameters, the analysis of variance (ANOVA) was implemented. The coefficient of determination (R2) and adequate precision (F calculated value and p-value) were used to evaluate the adequacy of the polynomial equation for the response and optimum values. The experimental design, statistical analysis, and regression model were accomplished using Statistica version 13.5.0.17.
In this work, two factorial plannings were executed for both techniques of extraction, PLE and UAE. The first factorial planning was applied for PLE, in which the chosen levels of the independent variables were temperature (60, 80, and 100 °C), 1,2-propanediol concentration in water (15, 30, and 45 wt%), and pH (3.0, 4.5, and 6.0). The second factorial planning was carried out for UAE, in which amplitude (18, 30, and 42%), 1.2-propanediol concentration in water (15, 30, and 45 wt%), and pH (4.0, 7.0, and 10.0) were varied. All coded levels of independent variables used in the factorial planning for the optimization of operating conditions for both PLE and UAE was given in detail in Section 2.1 and Section 2.2, respectively. For both extraction methodologies, the pH of the solutions was adjusted from 0.1 M solutions of HCl or NaOH.
Soares B.P., Ferreira A.M., Justi M., Rodrigues L.G., Oliveira J.V., Pinho S.P, & Coutinho J.A. (2023). Juçara Fruit (Euterpe Edulis Martius) Valorization Combining Emergent Extraction Technologies and Aqueous Solutions of Alkanediols. Molecules, 28(4), 1607.
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Publication 2023
1,3-propanediol Anthocyanins Dental Pulp
5
Ultrasound-Assisted Extraction of Anthocyanins
To compare different solvents, the UAE technique was chosen given (i) the higher extraction yield of anthocyanin achieved in the optimization compared to PLE, (ii) the shortest extraction time (10 min for UAE and 13 min for PLE) and maintenance between two consecutive experiments (around 5 min for UAE and 1 h for PLE), and (iii) the lower solid-liquid ratio required (1:50 g/mL for UAE versus 1:13 g/mL for PLE). Here, the effect of the type of solvent on UAE yield and antioxidant activity was evaluated using the optimized conditions. The 1,2-alkanediol series (1,2-ethanediol, 1,2-propanediol, 1,2-butanediol, 1,2-pentanediol, and 1,2-hexanediol) and the glycerol ethers (1.0.1), (2.0.2), and (2.0.0) were selected in the following previous studies using these compounds [50 (link),51 (link)] and compared with the water and ethanol used as control solvents. The chemical structure of the solvents mentioned above is represented in Figure S5 in the Supplementary Materials. In addition to the anthocyanins yield, defined by HPLC-DAD quantification, the following analyses were conducted to evaluate the total phenolic content and antioxidant activity of the extracts recovered using different solvents.
Soares B.P., Ferreira A.M., Justi M., Rodrigues L.G., Oliveira J.V., Pinho S.P, & Coutinho J.A. (2023). Juçara Fruit (Euterpe Edulis Martius) Valorization Combining Emergent Extraction Technologies and Aqueous Solutions of Alkanediols. Molecules, 28(4), 1607.
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Publication 2023
1,3-propanediol Anthocyanins Antioxidant Activity Butylene Glycols Ethanol Glyceryl Ethers High-Performance Liquid Chromatographies Solvents

Top products related to «1,3-propanediol»

1
1 2 propanediol by Merck Group
Sourced in United States, Germany, France, United Kingdom
1,2-propanediol is a chemical compound with the formula CH3CHCH2OH. It is a clear, viscous liquid that is miscible with water and many organic solvents. 1,2-propanediol is commonly used as a solvent, humectant, and preservative in a variety of industrial and pharmaceutical applications.
2
1 3 propanediol by Merck Group
Sourced in United States, Italy, France
1,3-propanediol is a chemical compound that serves as a versatile raw material for various industrial applications. It is a colorless, viscous liquid with a mild odor. The core function of 1,3-propanediol is to act as a precursor for the production of various polymers, solvents, and other chemical intermediates used in a wide range of industries.
3
Ethanol by Merck Group
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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.
4
Methanol by Merck Group
Sourced in Germany, United States, Italy, India, United Kingdom, China, France, Poland, Spain, Switzerland, Australia, Canada, Sao Tome and Principe, Brazil, Ireland, Japan, Belgium, Portugal, Singapore, Macao, Malaysia, Czechia, Mexico, Indonesia, Chile, Denmark, Sweden, Bulgaria, Netherlands, Finland, Hungary, Austria, Israel, Norway, Egypt, Argentina, Greece, Kenya, Thailand, Pakistan
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.
5
2 amino 2 methyl 1 3 propanediol by Merck Group
Sourced in Germany, United States
2-amino-2-methyl-1,3-propanediol is a chemical compound used as a buffer and reagent in various laboratory applications. It is a crystalline solid with the molecular formula C4H11NO2. This compound is commonly used to maintain pH levels in various chemical and biochemical processes.
6
Ethylene glycol by Merck Group
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Ethylene glycol is a colorless, odorless, and viscous liquid that is commonly used in various industrial applications. It serves as an important component in the manufacture of antifreeze, coolant, and de-icing solutions. Ethylene glycol is also utilized as a solvent and as a raw material in the production of polyester fibers and resins.
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1 4 butanediol by Merck Group
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1,4-butanediol is a colorless, viscous chemical compound that is commonly used as a laboratory reagent. It has a molecular formula of C4H10O2 and a molecular weight of 90.12 g/mol. 1,4-butanediol is a versatile compound that can be used for various applications in research and development.
8
Dimethyl sulfoxide (dmso) by Merck Group
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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.
9
Fetal bovine serum (fbs) by Thermo Fisher Scientific
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Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
10
1 3 propanediol by Thermo Fisher Scientific
Sourced in Belgium, Germany
1,3-propanediol is a colorless, viscous liquid chemical compound. It is used as a precursor in the production of various polymers and other industrial chemicals.

More about "1,3-propanediol"

1,3-Propanediol is a versatile organic compound with diverse applications in chemical synthesis and biotechnology.
It is widely used as a building block for polymers, solvents, and other value-added products.
This three-carbon diol can be produced through various methods, including fermentation, chemical synthesis, and enzymatic processes.
Closely related compounds such as 1,2-propanediol and ethanol share some similarities with 1,3-propanediol in terms of their chemical properties and potential applications.
Other related compounds like methanol, 2-amino-2-methyl-1,3-propanediol, ethylene glycol, and 1,4-butanediol also exhibit distinct characteristics and find use in different industries.
The efficient production, optimization, and analysis of 1,3-propanediol can be facilitated through the power of AI-driven literature comparison on platforms like PubCompare.ai.
This tool allows researchers to locate the best protocols from scientific literature, preprints, and patents, enhancing reproducibility, accuracy, and streamlining the overall 1,3-propanediol research process.
Leveraging the insights and capabilities of AI can prove invaluable in expanding the understanding and applications of this versatile compound.
Whether you're working on polymer synthesis, solvent development, or other biotechnological applications, optimizing your 1,3-propanediol research with AI-driven tools can lead to significant advancements in the field.