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Merck
CN

199672

Sudan Orange G

Dye content 85 %

Synonym(s):

2,4-Dihydroxyazobenzene, 4-(Phenylazo)resorcinol, SOG

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About This Item

Linear Formula:
C6H5N=NC6H3-1,3-(OH)2
CAS Number:
Molecular Weight:
214.22
Colour Index Number:
11920
NACRES:
NA.47
PubChem Substance ID:
UNSPSC Code:
12171500
EC Number:
218-131-9
MDL number:
Beilstein/REAXYS Number:
958430
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Product Name

Sudan Orange G, Dye content 85 %

InChI key

BPTKLSBRRJFNHJ-BUHFOSPRSA-N

InChI

1S/C12H10N2O2/c15-10-6-7-11(12(16)8-10)14-13-9-4-2-1-3-5-9/h1-8,15-16H/b14-13+

SMILES string

Oc1ccc(\N=N\c2ccccc2)c(O)c1

form

powder

composition

Dye content, 85%

mp

143-146 °C (lit.)

solubility

chloroform: 1 mg/mL, clear, orange to red

λmax

388 nm

application(s)

diagnostic assay manufacturing
hematology
histology

storage temp.

room temp

Quality Level

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Application

Sudan Orange G has been used to study its enzymatic biotransformation and is used as a standard in Liquid chromatography–mass spectrometry.

General description

Sudan Orange G belongs to the group of azo dyes, which are synthetic organic colorants. Members of azo dyes contain chromophoric azo groups (-N-N-).

pictograms

Exclamation mark

signalword

Warning

Hazard Classifications

Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3

target_organs

Respiratory system

Storage Class

11 - Combustible Solids

wgk

WGK 3

flash_point_f

Not applicable

flash_point_c

Not applicable

ppe

dust mask type N95 (US), Eyeshields, Gloves


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Development of a method for the analysis of seven banned azo-dyes in chilli and hot chilli food samples by pressurised liquid extraction and liquid chromatography with electrospray ionization-tandem mass spectrometry
Pardo O
Talanta, 78, 178-186 (2009)
Enzymatic biotransformation of the azo dye Sudan Orange G with bacterial CotA-laccase
Pereira L
Journal of Biotechnology, 139, 68-77 (2009)
Determination of Banned Dyes in Spices by Liquid
Chromatography?Mass Spectrometry
Botek P
Czech Journal of Food Sciences, 25, 17-24 (2007)
Ze Wang et al.
Drug and alcohol dependence, 152, 102-108 (2015-05-11)
The functional interconnections of the addicted brain may differ from the non-addicted population in important ways, but prioranalytic approaches were usually limited to the study of connections between a few number of selected brain regions. Recent approaches enable examination of
Daniel Kessler et al.
The Journal of neuroscience : the official journal of the Society for Neuroscience, 34(50), 16555-16566 (2014-12-17)
Previous neuroimaging investigations in attention-deficit/hyperactivity disorder (ADHD) have separately identified distributed structural and functional deficits, but interconnections between these deficits have not been explored. To unite these modalities in a common model, we used joint independent component analysis, a multivariate

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