W390607
2′-Aminoacetophenone
≥98%
Sinónimos:
2-Acetylaniline
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Fórmula lineal:
H2NC6H4COCH3
Número CAS:
Peso molecular:
135.16
Flavis number:
11.008
PubChem Substance ID:
UNSPSC Code:
12164502
FEMA Number:
3906
NACRES:
NA.21
EC Number:
209-002-8
MDL number:
Beilstein/REAXYS Number:
386122
Organoleptic:
grape
Grade:
Halal, Kosher
Biological source:
synthetic
Food allergen:
no known allergens
Servicio técnico
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Permítanos ayudarlebiological source
synthetic
Quality Level
grade
Halal, Kosher
assay
≥98%
refractive index
n20/D 1.614 (lit.)
bp
85-90 °C/0.5 mmHg (lit.)
density
1.112 g/mL at 25 °C (lit.)
application(s)
flavors and fragrances
documentation
see Safety & Documentation for available documents
food allergen
no known allergens
organoleptic
grape
storage temp.
2-8°C
SMILES string
CC(=O)c1ccccc1N
InChI
1S/C8H9NO/c1-6(10)7-4-2-3-5-8(7)9/h2-5H,9H2,1H3
InChI key
GTDQGKWDWVUKTI-UHFFFAOYSA-N
General description
2′-Aminoacetophenone is one of the key volatile flavor components of masa corn flour products.{9] It is also reported to be responsible for the grape-like odor in culture media growing Pseudomonas aeruginosa.
Disclaimer
For R&D or non-EU Food use. Not for retail sale.
signalword
Warning
hcodes
Hazard Classifications
Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3
target_organs
Respiratory system
Clase de almacenamiento
10 - Combustible liquids
flash_point_f
235.4 °F - closed cup
flash_point_c
113 °C - closed cup
ppe
Eyeshields, Gloves, type ABEK (EN14387) respirator filter
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Contenido relacionado
Use of 2-aminoacetophenone production in identification of Pseudomonas aeruginosa.
Cox CD & Parker J.
Journal of Clinical Microbiology, 9(4), 479-484 (1979)
N Christoph et al.
Advances in experimental medicine and biology, 467, 659-669 (2000-03-18)
Tryptophan (TRP) and its metabolites are considered as potential precursors of 2-aminoacetophenone (AAP) in different food products causing different off-flavors. AAP is also responsible for the "untypical aging flavor (UTA)" in wine, developing a floor polish-like flavor in white wines
Andrew P Worth et al.
Methods in molecular biology (Clifton, N.J.), 930, 125-162 (2012-10-23)
In this chapter, a range of computational tools for applying QSAR and grouping/read-across methods are described, and their integrated use in the computational assessment of genotoxicity is illustrated through the application of selected tools to two case-study compounds-2-amino-9H-pyrido[2,3-b]indole (AαC) and