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24-6070

Sigma-Aldrich

1-Propanol

JIS special grade

Synonym(s):

Propyl alcohol

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About This Item

Linear Formula:
CH3CH2CH2OH
CAS Number:
71-23-8
Molecular Weight:
60.10
Beilstein:
1098242
MDL number:
MFCD00002941
UNSPSC Code:
12352001
PubChem Substance ID:
329752718

grade

JIS special grade

vapor density

2.1 (vs air)

vapor pressure

10 mmHg ( 147 °C)
14.9 mmHg ( 20 °C)

Assay

≥99.5% (GC)

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

Signal Word

Danger

Hazard Statements

H225,H318,H336

Hazard Classifications

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

Target Organs

Central nervous system

Storage Class Code

3 - Flammable liquids

WGK

WGK 1

Flash Point(F)

59.0 °F

Flash Point(C)

15 °C

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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
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
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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