- InChI
- InChI=1S/C5H12O3/c1-7-4-5-8-3-2-6/h6H,2-5H2,1H3
- InChI Key
- SBASXUCJHJRPEV-UHFFFAOYSA-N
- Formula
- C5H12O3
- SMILES
- COCCOCCO
- Molecular Weight1
- 120.15
- CAS
- 111-77-3
- Other Names
-
- 2-(2-Methoxyethoxy)ethanol
- 2-(Methoxyethoxy)ethanol
- 3,6-Dioxa-1-heptanol
- Diethylene glycol methyl ether
- Diethylene glycol monomethyl ether
- Diglycol monomethyl ether
- Dowanol DM
- Ektasolve DM
- Ethanol, 2,2'-oxybis-, monomethyl ether
- Ethylene diglycol monomethyl ether
- Hicotol CAR
- MECB
- Methoxydiglycol
- Methyl carbitol
- Methyl di-icinol
- Methyl digol
- Methyl dioxitol
- Methyl karbitol
- NSC 2261
- Poly-Solv DM
- diethylene glycol, methyl ether
- diethylene glycol, monomethyl ether
- «beta»-Methoxy-«beta»'-hydroxydiethyl ether
- «beta»-Methoxy-«beta»'-hydroxydiethyl ether
- ΔcH°liquid : Standard liquid enthalpy of combustion (kJ/mol).
- Cp,gas : Ideal gas heat capacity (J/mol×K).
- Cp,liquid : Liquid phase heat capacity (J/mol×K).
- η : Dynamic viscosity (Pa×s).
- ΔfG° : Standard Gibbs free energy of formation (kJ/mol).
- ΔfH°gas : Enthalpy of formation at standard conditions (kJ/mol).
- ΔfH°liquid : Liquid phase enthalpy of formation at standard conditions (kJ/mol).
- ΔfusH° : Enthalpy of fusion at standard conditions (kJ/mol).
- ΔvapH° : Enthalpy of vaporization at standard conditions (kJ/mol).
- ΔvapH : Enthalpy of vaporization at a given temperature (kJ/mol).
- log10WS : Log10 of Water solubility in mol/l.
- logPoct/wat : Octanol/Water partition coefficient.
- McVol : McGowan's characteristic volume (ml/mol).
- Pc : Critical Pressure (kPa).
- Pvap : Vapor pressure (kPa).
- n0 : Refractive Index.
- ρl : Liquid Density (kg/m3).
- Inp : Non-polar retention indices.
- I : Polar retention indices.
- csound,fluid : Speed of sound in fluid (m/s).
- γ : Surface Tension (N/m).
- Tboil : Normal Boiling Point Temperature (K).
- Tc : Critical Temperature (K).
- Tfus : Normal melting (fusion) point (K).
- Vc : Critical Volume (m3/kmol).
- 1: Molecular weight from the IUPAC atomic weights tables.
Cheméo is a service of Céondo GmbH, since 2007, we provide simulation, modelling and software development services for the industry.
Do not hesitate to contact us for your projects.
Physical Properties
| Property | Value | Unit | Source |
|---|---|---|---|
| ΔcH°liquid | -3010.00 | kJ/mol | NIST |
| ΔfG° | -355.60 | kJ/mol | Joback Calculated Property |
| ΔfH°gas | -563.20 | kJ/mol | Joback Calculated Property |
| ΔfH°liquid | -670.30 | kJ/mol | NIST |
| ΔfusH° | 15.17 | kJ/mol | Joback Calculated Property |
| ΔvapH° | 48.22 | kJ/mol | Joback Calculated Property |
| log10WS | 0.65 | Crippen Calculated Property | |
| logPoct/wat | -0.358 | Crippen Calculated Property | |
| McVol | 98.920 | ml/mol | McGowan Calculated Property |
| Pc | 3670.00 ± 150.00 | kPa | NIST |
| Inp | [907.00; 947.00] |
|
|
| Inp | 907.00 | NIST | |
| Inp | 932.00 | NIST | |
| Inp | 937.80 | NIST | |
| Inp | 908.00 | NIST | |
| Inp | 947.00 | NIST | |
| Inp | 920.00 | NIST | |
| Inp | 924.00 | NIST | |
| I | [1553.00; 1620.00] |
|
|
| I | 1553.00 | NIST | |
| I | 1620.00 | NIST | |
| I | 1589.00 | NIST | |
| I | 1576.00 | NIST | |
| Tboil | [466.10; 502.40] | K |
|
| Tboil | 466.20 | K | NIST |
| Tboil | 466.10 ± 0.70 | K | NIST |
| Tboil | 502.40 ± 2.50 | K | NIST |
| Tboil | 471.00 ± 3.00 | K | NIST |
| Tc | 672.00 ± 2.00 | K | NIST |
| Tfus | 251.39 | K | Joback Calculated Property |
| Vc | 0.370 | m3/kmol | Joback Calculated Property |
Temperature Dependent Properties
| Property | Value | Unit | Temperature (K) | Source |
|---|---|---|---|---|
| Cp,gas | [212.62; 258.36] | J/mol×K | [450.82; 612.92] |
|
| Cp,gas | 212.62 | J/mol×K | 450.82 | Joback Calculated Property |
| Cp,gas | 220.74 | J/mol×K | 477.84 | Joback Calculated Property |
| Cp,gas | 228.67 | J/mol×K | 504.85 | Joback Calculated Property |
| Cp,gas | 236.40 | J/mol×K | 531.87 | Joback Calculated Property |
| Cp,gas | 243.93 | J/mol×K | 558.89 | Joback Calculated Property |
| Cp,gas | 251.25 | J/mol×K | 585.91 | Joback Calculated Property |
| Cp,gas | 258.36 | J/mol×K | 612.92 | Joback Calculated Property |
| Cp,liquid | [261.90; 280.10] | J/mol×K | [275.15; 339.15] |
|
| Cp,liquid | 261.90 | J/mol×K | 275.15 | Measure... |
| Cp,liquid | 262.30 | J/mol×K | 277.15 | Measure... |
| Cp,liquid | 262.70 | J/mol×K | 279.15 | Measure... |
| Cp,liquid | 263.20 | J/mol×K | 281.15 | Measure... |
| Cp,liquid | 263.60 | J/mol×K | 283.15 | Measure... |
| Cp,liquid | 264.10 | J/mol×K | 285.15 | Measure... |
| Cp,liquid | 264.60 | J/mol×K | 287.15 | Measure... |
| Cp,liquid | 265.10 | J/mol×K | 289.15 | Measure... |
| Cp,liquid | 265.60 | J/mol×K | 291.15 | Measure... |
| Cp,liquid | 266.10 | J/mol×K | 293.15 | Measure... |
| Cp,liquid | 266.60 | J/mol×K | 295.15 | Measure... |
| Cp,liquid | 267.10 | J/mol×K | 297.15 | Measure... |
| Cp,liquid | 267.40 | J/mol×K | 298.15 | Measure... |
| Cp,liquid | 267.60 | J/mol×K | 299.15 | Measure... |
| Cp,liquid | 268.20 | J/mol×K | 301.15 | Measure... |
| Cp,liquid | 268.70 | J/mol×K | 303.15 | Measure... |
| Cp,liquid | 269.30 | J/mol×K | 305.15 | Measure... |
| Cp,liquid | 269.80 | J/mol×K | 307.15 | Measure... |
| Cp,liquid | 270.40 | J/mol×K | 309.15 | Measure... |
| Cp,liquid | 271.00 | J/mol×K | 311.15 | Measure... |
| Cp,liquid | 271.60 | J/mol×K | 313.15 | Measure... |
| Cp,liquid | 272.20 | J/mol×K | 315.15 | Measure... |
| Cp,liquid | 272.80 | J/mol×K | 317.15 | Measure... |
| Cp,liquid | 273.40 | J/mol×K | 319.15 | Measure... |
| Cp,liquid | 274.00 | J/mol×K | 321.15 | Measure... |
| Cp,liquid | 274.70 | J/mol×K | 323.15 | Measure... |
| Cp,liquid | 275.30 | J/mol×K | 325.15 | Measure... |
| Cp,liquid | 276.00 | J/mol×K | 327.15 | Measure... |
| Cp,liquid | 276.60 | J/mol×K | 329.15 | Measure... |
| Cp,liquid | 277.30 | J/mol×K | 331.15 | Measure... |
| Cp,liquid | 278.00 | J/mol×K | 333.15 | Measure... |
| Cp,liquid | 278.70 | J/mol×K | 335.15 | Measure... |
| Cp,liquid | 279.40 | J/mol×K | 337.15 | Measure... |
| Cp,liquid | 280.10 | J/mol×K | 339.15 | Measure... |
| η | [0.0001719; 0.0215378] | Pa×s | [251.39; 450.82] |
|
| η | 0.0215378 | Pa×s | 251.39 | Joback Calculated Property |
| η | 0.0060175 | Pa×s | 284.63 | Joback Calculated Property |
| η | 0.0021951 | Pa×s | 317.87 | Joback Calculated Property |
| η | 0.0009692 | Pa×s | 351.11 | Joback Calculated Property |
| η | 0.0004929 | Pa×s | 384.34 | Joback Calculated Property |
| η | 0.0002792 | Pa×s | 417.58 | Joback Calculated Property |
| η | 0.0001719 | Pa×s | 450.82 | Joback Calculated Property |
| ΔvapH | 51.90 | kJ/mol | 425.50 | NIST |
| n0 | [1.42420; 1.42500] | [298.15; 298.15] |
|
|
| n0 | 1.42420 | 298.15 | Physica... | |
| n0 | 1.42500 | 298.15 | Thermod... | |
| n0 | 1.42450 | 298.15 | Volumet... | |
| ρl | [948.50; 1028.60] | kg/m3 | [283.15; 373.15] |
|
| ρl | 1028.60 | kg/m3 | 283.15 | Thermop... |
| ρl | 1025.30 | kg/m3 | 288.15 | Thermop... |
| ρl | 1024.20 | kg/m3 | 288.15 | Thermop... |
| ρl | 1019.80 | kg/m3 | 293.15 | Thermop... |
| ρl | 1020.80 | kg/m3 | 293.15 | Volumet... |
| ρl | 1021.00 | kg/m3 | 293.15 | Thermop... |
| ρl | 1016.30 | kg/m3 | 298.15 | Thermop... |
| ρl | 1015.40 | kg/m3 | 298.15 | Thermop... |
| ρl | 1015.60 | kg/m3 | 298.15 | Excess ... |
| ρl | 1016.43 | kg/m3 | 298.15 | Speeds ... |
| ρl | 1016.40 | kg/m3 | 298.15 | Volumet... |
| ρl | 1011.83 | kg/m3 | 303.15 | Volumet... |
| ρl | 1011.90 | kg/m3 | 303.15 | Thermop... |
| ρl | 1011.00 | kg/m3 | 303.15 | Thermop... |
| ρl | 1006.60 | kg/m3 | 308.15 | Thermop... |
| ρl | 1007.40 | kg/m3 | 308.15 | Thermop... |
| ρl | 1007.69 | kg/m3 | 308.15 | Volumet... |
| ρl | 1003.00 | kg/m3 | 313.15 | Thermop... |
| ρl | 1003.22 | kg/m3 | 313.15 | Volumet... |
| ρl | 1002.10 | kg/m3 | 313.15 | Thermop... |
| ρl | 998.80 | kg/m3 | 318.15 | Thermop... |
| ρl | 993.20 | kg/m3 | 323.15 | Thermop... |
| ρl | 994.30 | kg/m3 | 323.15 | Thermop... |
| ρl | 989.80 | kg/m3 | 328.15 | Thermop... |
| ρl | 984.10 | kg/m3 | 333.15 | Thermop... |
| ρl | 985.30 | kg/m3 | 333.15 | Thermop... |
| ρl | 981.00 | kg/m3 | 338.15 | Thermop... |
| ρl | 976.50 | kg/m3 | 343.15 | Thermop... |
| ρl | 975.00 | kg/m3 | 343.15 | Thermop... |
| ρl | 971.80 | kg/m3 | 348.15 | Thermop... |
| ρl | 967.20 | kg/m3 | 353.15 | Thermop... |
| ρl | 962.50 | kg/m3 | 358.15 | Thermop... |
| ρl | 957.90 | kg/m3 | 363.15 | Thermop... |
| ρl | 953.10 | kg/m3 | 368.15 | Thermop... |
| ρl | 948.50 | kg/m3 | 373.15 | Thermop... |
| csound,fluid | [1349.00; 1451.00] | m/s | [288.15; 318.15] |
|
| csound,fluid | 1451.00 | m/s | 288.15 | Volumet... |
| csound,fluid | 1434.00 | m/s | 293.15 | Volumet... |
| csound,fluid | 1416.00 | m/s | 298.15 | Volumet... |
| csound,fluid | 1399.00 | m/s | 303.15 | Volumet... |
| csound,fluid | 1382.00 | m/s | 308.15 | Volumet... |
| csound,fluid | 1366.00 | m/s | 313.15 | Volumet... |
| csound,fluid | 1349.00 | m/s | 318.15 | Volumet... |
| γ | [0.03; 0.03] | N/m | [298.15; 318.15] |
|
| γ | 0.03 | N/m | 298.15 | Experim... |
| γ | 0.03 | N/m | 308.15 | Experim... |
| γ | 0.03 | N/m | 318.15 | Experim... |
Datasets
Mass density, kg/m3
| Fixed | Measured | |
|---|---|---|
| Temperature, K - Liquid | Pressure, kPa - Liquid | Mass density, kg/m3 - Liquid |
| 283.15 | 100.00 | 1028.5 |
| 283.15 | 1000.00 | 1029.0 |
| 283.15 | 2500.00 | 1029.8 |
| 283.15 | 5000.00 | 1031.2 |
| 283.15 | 7500.00 | 1032.5 |
| 283.15 | 10000.00 | 1033.9 |
| 283.15 | 15000.00 | 1036.4 |
| 283.15 | 20000.00 | 1039.0 |
| 283.15 | 25000.00 | 1041.4 |
| 293.15 | 100.00 | 1019.5 |
| 293.15 | 1000.00 | 1020.0 |
| 293.15 | 2500.00 | 1020.9 |
| 293.15 | 5000.00 | 1022.3 |
| 293.15 | 7500.00 | 1023.7 |
| 293.15 | 10000.00 | 1025.2 |
| 293.15 | 15000.00 | 1027.9 |
| 293.15 | 20000.00 | 1030.5 |
| 293.15 | 25000.00 | 1033.1 |
| 303.15 | 100.00 | 1010.8 |
| 303.15 | 1000.00 | 1011.3 |
| 303.15 | 2500.00 | 1012.2 |
| 303.15 | 5000.00 | 1013.6 |
| 303.15 | 7500.00 | 1015.0 |
| 303.15 | 10000.00 | 1016.4 |
| 303.15 | 15000.00 | 1019.3 |
| 303.15 | 20000.00 | 1022.1 |
| 303.15 | 25000.00 | 1024.8 |
| 313.15 | 100.00 | 1002.0 |
| 313.15 | 1000.00 | 1002.6 |
| 313.15 | 2500.00 | 1003.5 |
| 313.15 | 5000.00 | 1005.1 |
| 313.15 | 7500.00 | 1006.7 |
| 313.15 | 10000.00 | 1008.2 |
| 313.15 | 15000.00 | 1011.2 |
| 313.15 | 20000.00 | 1014.1 |
| 313.15 | 25000.00 | 1016.9 |
| 323.15 | 100.00 | 993.2 |
| 323.15 | 1000.00 | 993.9 |
| 323.15 | 2500.00 | 994.9 |
| 323.15 | 5000.00 | 996.6 |
| 323.15 | 7500.00 | 998.3 |
| 323.15 | 10000.00 | 1000.0 |
| 323.15 | 15000.00 | 1003.2 |
| 323.15 | 20000.00 | 1006.2 |
| 323.15 | 25000.00 | 1009.2 |
| 333.15 | 100.00 | 983.9 |
| 333.15 | 1000.00 | 984.6 |
| 333.15 | 2500.00 | 985.6 |
| 333.15 | 5000.00 | 987.4 |
| 333.15 | 7500.00 | 989.1 |
| 333.15 | 10000.00 | 990.8 |
| 333.15 | 15000.00 | 994.1 |
| 333.15 | 20000.00 | 997.2 |
| 333.15 | 25000.00 | 1000.2 |
| 343.15 | 100.00 | 975.2 |
| 343.15 | 1000.00 | 975.8 |
| 343.15 | 2500.00 | 977.0 |
| 343.15 | 5000.00 | 978.8 |
| 343.15 | 7500.00 | 980.6 |
| 343.15 | 10000.00 | 982.4 |
| 343.15 | 15000.00 | 985.9 |
| 343.15 | 20000.00 | 989.2 |
| 343.15 | 25000.00 | 992.4 |
| 353.15 | 100.00 | 965.7 |
| 353.15 | 1000.00 | 966.4 |
| 353.15 | 2500.00 | 967.6 |
| 353.15 | 5000.00 | 969.5 |
| 353.15 | 7500.00 | 971.4 |
| 353.15 | 10000.00 | 973.3 |
| 353.15 | 15000.00 | 976.9 |
| 353.15 | 20000.00 | 980.4 |
| 353.15 | 25000.00 | 983.7 |
| Reference | ||
Correlations
| Property | Value | Unit | Temperature (K) | Source |
|---|---|---|---|---|
| Pvap | [1.33; 202.66] | kPa | [357.72; 491.20] |
The Yaw...
|
| Equation | ln(Pvp) = A + B/(T + C) | |||
| Coefficient A | 1.78402e+01 | |||
| Coefficient B | -5.84302e+03 | |||
| Coefficient C | -2.48290e+01 | |||
| Temperature range, min. | 357.72 | |||
| Temperature range, max. | 491.20 | |||
| Pvap | 1.33 | kPa | 357.72 | Calculated Property |
| Pvap | 2.82 | kPa | 372.55 | Calculated Property |
| Pvap | 5.61 | kPa | 387.38 | Calculated Property |
| Pvap | 10.56 | kPa | 402.21 | Calculated Property |
| Pvap | 18.97 | kPa | 417.04 | Calculated Property |
| Pvap | 32.64 | kPa | 431.88 | Calculated Property |
| Pvap | 54.06 | kPa | 446.71 | Calculated Property |
| Pvap | 86.53 | kPa | 461.54 | Calculated Property |
| Pvap | 134.29 | kPa | 476.37 | Calculated Property |
| Pvap | 202.66 | kPa | 491.20 | Calculated Property |
Similar Compounds
![2-[2-[2-[2-[2-[2-(2-Methoxyethoxy)ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethanol.](data:image/png;base64,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)
![Ethanol, 2-[2-(2-methoxyethoxy)ethoxy]-.](data:image/png;base64,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)
![2-[2-[2-[2-[2-[2-[2-[2-[2-(2-Methoxyethoxy)ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethanol.](data:image/png;base64,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)
![2-[2-[2-[2-[2-[2-[2-[2-[2-[2-(2-Methoxyethoxy)ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethanol.](data:image/png;base64,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)
![2-[2-[2-[2-[2-[2-[2-(2-Methoxyethoxy)ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethanol.](data:image/png;base64,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)
![2-[2-[2-[2-[2-[2-[2-[2-(2-Methoxyethoxy)ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethanol.](data:image/png;base64,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)
![2-[2-[2-[2-[2-[2-[2-(2-Hydroxyethoxy)ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethanol.](data:image/png;base64,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)
Find more compounds similar to Ethanol, 2-(2-methoxyethoxy)-.
Mixtures
- Propylamine + Ethanol, 2-(2-methoxyethoxy)-
- Ethanol, 2-(2-methoxyethoxy)- + Propane, 2-ethoxy-2-methyl-
- Ethanol, 2-(2-methoxyethoxy)- + Water
Sources
- Crippen Method
- Crippen Method
- Speeds of Sound and Isentropic Compressibilities of n-Alkoxyethanols and Polyethers with Propylamine at 298.15K
- Volumetric properties of binary mixtures of alkoxyethanols with ethyl tert-butyl ether at various temperatures
- Excess molar enthalpies and volumes of binary mixtures of nonafluorobutylmethylether with ethylene glycol ethers at T = 298.15 K
- Physical and excess properties of a room temperature ionic liquid (1-methyl-3-octylimidazolium tetrafluoroborate) with n-alkoxyethanols (C1Em, m = 1 to 3) at T = (298.15 to 318.15) K
- Thermodynamic and optical studies of some ethylene glycol ethers in aqueous solutions at T = 298.15 K
- Volumetric and viscometric study of aqueous binary mixtures of some glycol ethers at T = (275.15 and 283.15) K
- Thermophysical properties of ionic liquid {1-butyl-3-methylimidazolium bromide [bmim][Br] in alkoxyalkanols + water} mixtures at different temperatures
- Measurement and Prediction of Molar Heat Capacities of Liquid Polyoxyethylene Glycol Monoalkyl Ethers (CnEm)
- Thermophysical properties of glycols and glymes
- Experimental Surface Tensions and Derived Surface Properties of Binary Mixtures of Water + Alkoxyethanols (C1Em, m = 1, 2, 3) and Water + Ethylene Glycol Dimethyl Ether (C1E1C1) at (298.15, 308.15, and 318.15) K
- Liquid Density Measurements of Diethylene Glycol Monoalkyl Ethers as a Function of Temperature and Pressure
- Volumetric and Acoustic Properties of Binary Mixtures of the Ionic Liquid 1-Butyl-3-methylimidazolium Tetrafluoroborate [bmim][BF4] with Alkoxyalkanols at Different Temperatures
- Joback Method
- McGowan Method
- NIST Webbook
- The Yaws Handbook of Vapor Pressure
Note: Cheméo is only indexing the data, follow the source links to retrieve the latest data. The source is also providing more information like the publication year, authors and more. Take the time to validate and double check the source of the data.