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Sigma-Aldrich

1-Propanol

SAJ first grade, ≥99.0%

Synonym(s):

Propyl alcohol

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About This Item

Linear Formula:
CH3CH2CH2OH
CAS Number:
71-23-8
Molecular Weight:
60.10
Beilstein/REAXYS Number:
1098242
MDL number:
MFCD00002941
UNSPSC Code:
12352001
PubChem Substance ID:
329752719

grade

SAJ first grade

vapor density

2.1 (vs air)

vapor pressure

10 mmHg ( 147 °C)
14.9 mmHg ( 20 °C)

assay

≥99.0%

form

liquid

autoignition temp.

700 °F

expl. lim.

13.7 %

availability

available only in Japan

refractive index

n20/D 1.384 (lit.)

pH

8.5 (20 °C, 200 g/L)

bp

97 °C (lit.)

mp

−127 °C (lit.)

density

0.804 g/mL at 25 °C (lit.)

SMILES string

CCCO

InChI

1S/C3H8O/c1-2-3-4/h4H,2-3H2,1H3

InChI key

BDERNNFJNOPAEC-UHFFFAOYSA-N

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Related Categories

signalword

Danger

Hazard Classifications

Eye Dam. 1 - Flam. Liq. 2 - STOT SE 3

target_organs

Central nervous system

Storage Class

3 - Flammable liquids

wgk_germany

WGK 1

flash_point_f

59.0 °F

flash_point_c

15 °C

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Takeshi Morita et al.
The journal of physical chemistry. B, 116(24), 7328-7333 (2012-06-01)
We characterized the effects of ethanol (ET) and dimethyl sulfoxide (DMSO) on H(2)O within a limited H(2)O-rich region by the 1-propanol (1P)-probing methodology developed by us earlier. The results are displayed on a two-dimensional map with twin coordinates: one pertaining
David Fernandez Rivas et al.
Ultrasonics sonochemistry, 19(6), 1252-1259 (2012-05-23)
Micromachined pits on a substrate can be used to nucleate and stabilize microbubbles in a liquid exposed to an ultrasonic field. Under suitable conditions, the collapse of these bubbles can result in light emission (sonoluminescence, SL). Hydroxyl radicals (OH()) generated
Yong Jun Choi et al.
Metabolic engineering, 14(5), 477-486 (2012-08-09)
An engineered Escherichia coli strain that produces 1-propanol under aerobic condition was developed based on an L-threonine-overproducing E. coli strain. First, a feedback resistant ilvA gene encoding threonine dehydratase was introduced and the competing metabolic pathway genes were deleted. Further
Satoshi Ohno et al.
Journal of bioscience and bioengineering, 115(2), 221-228 (2012-10-09)
For efficient production of industrially useful metabolites by microorganisms, it is important to design metabolic networks suitable for production. For this purpose, constraint-based metabolic flux simulation is a powerful tool to predict the effect of reaction knockouts on target productivity.
Dieuwke Sevenster et al.
Science (New York, N.Y.), 339(6121), 830-833 (2013-02-16)
Although reconsolidation opens up new avenues to erase excessive fear memory, subtle boundary conditions put constraints on retrieval-induced plasticity. Reconsolidation may only take place when memory reactivation involves an experience that engages new learning (prediction error). Thus far, it has
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