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45373

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Chloralose

PESTANAL®, analytical standard

Synonym(e):

Chloralose, α-Chloralose, 1,2-O-(2,2,2-Trichlorethyliden)-α-D-glucofuranose, Anhydro-D-glucochloral

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About This Item

Empirische Formel (Hill-System):
C8H11Cl3O6
CAS-Nummer:
15879-93-3
Molekulargewicht:
309.53
Beilstein:
85418
EG-Nummer:
240-016-7
MDL-Nummer:
MFCD00005542
UNSPSC-Code:
41116107
PubChem Substanz-ID:
329756681
NACRES:
NA.24
Preise und Verfügbarkeit sind derzeit nicht verfügbar.

Qualität

analytical standard

Qualitätsniveau

100

Produktlinie

PESTANAL®

Haltbarkeit

limited shelf life, expiry date on the label

Methode(n)

HPLC: suitable
gas chromatography (GC): suitable

Anwendung(en)

agriculture
environmental

Format

neat

SMILES String

OC[C@@H](O)[C@H]1O[C@@H]2O[C@@H](O[C@@H]2[C@H]1O)C(Cl)(Cl)Cl

InChI

1S/C8H11Cl3O6/c9-8(10,11)7-16-5-3(14)4(2(13)1-12)15-6(5)17-7/h2-7,12-14H,1H2/t2-,3+,4-,5-,6-,7-/m1/s1

InChIKey

OJYGBLRPYBAHRT-IPQSZEQASA-N

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Anwendung

Refer to the product′s Certificate of Analysis for more information on a suitable instrument technique. Contact Technical Service for further support.

Komponenten

Isomerengemisch aus ~≥85% α-Chloralose; ≤15% β-Chloralose

Rechtliche Hinweise

PESTANAL is a registered trademark of Merck KGaA, Darmstadt, Germany

Piktogramme

Skull and crossbonesEnvironment
GHS06,GHS09

Signalwort

Danger

Gefahreneinstufungen

Acute Tox. 3 Oral - Acute Tox. 4 Inhalation - Aquatic Acute 1 - Aquatic Chronic 1 - STOT SE 3

Zielorgane

Central nervous system

Lagerklassenschlüssel

6.1C - Combustible acute toxic Cat.3 / toxic compounds or compounds which causing chronic effects

WGK

WGK 1

Flammpunkt (°F)

Not applicable

Flammpunkt (°C)

Not applicable

Persönliche Schutzausrüstung

dust mask type N95 (US), Eyeshields, Faceshields, Gloves

Hier finden Sie alle aktuellen Versionen:

Analysenzertifikate (COA)

Lot/Batch Number
BCCJ4883
BCBW9751
BCBQ7263

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Die Dokumentenbibliothek aufrufen

Kazuto Masamoto et al.
Advances in experimental medicine and biology, 662, 57-61 (2010-03-06)
The present study aimed to characterize microcirculatory responses to anesthesia in brain tissue. With multi-photon excitation fluorescence microscopy, intra-cortical capillary dimension and red blood cell (RBC) flow were successfully visualized up to a depth of approximately 0.6 mm from the
Karla Krautwald et al.
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 32(2), 291-305 (2011-08-25)
To study how various anesthetics affect the relationship between stimulus frequency and generated functional magnetic resonance imaging (fMRI) signals in the rat dentate gyrus, the perforant pathway was electrically stimulated with repetitive low frequency (i.e., 0.625, 1.25, 2.5, 5, and
T Tsurugizawa et al.
Neuroscience, 165(1), 244-251 (2009-10-13)
It is important to investigate the effect of anesthesia on blood oxygenation level-dependent (BOLD) signals in an animal model. Many researchers have investigated the BOLD response to visual, sensory, and chemical stimuli in anesthetized rats. There are no reports, however
Congwu Du et al.
The European journal of neuroscience, 30(8), 1565-1575 (2009-10-14)
Most studies of the effect of cocaine on brain activity in laboratory animals are preformed under anesthesia, which could potentially affect the physiological responses to cocaine. Here we assessed the effects of two commonly used anesthetics [alpha-chloralose (alpha-CHLOR) and isofluorane
Kathleen A Williams et al.
Magnetic resonance imaging, 28(7), 995-1003 (2010-05-12)
Functional connectivity measures based upon low-frequency blood-oxygenation-level-dependent functional magnetic resonance imaging (BOLD fMRI) signal fluctuations have become a widely used tool for investigating spontaneous brain activity in humans. Still unknown, however, is the precise relationship between neural activity, the hemodynamic
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