Skip to Content
Merck
CN

08428

Supelco

D-(+)-Fucose

analytical standard

Synonym(s):

6-Deoxy-D-galactose, Rhodeose

Sign Into View Organizational & Contract Pricing

About This Item

Empirical Formula (Hill Notation):
C6H12O5
CAS Number:
Molecular Weight:
164.16
Beilstein:
1723320
MDL number:
UNSPSC Code:
41116107
Technical Service
Need help? Our team of experienced scientists is here for you.
Let Us Assist
Technical Service
Need help? Our team of experienced scientists is here for you.
Let Us Assist

grade

analytical standard

Quality Level

Assay

≥95% (GC)

optical activity

[α]/D 75±1°, c = 4 in H2O

shelf life

limited shelf life, expiry date on the label

mp

144-145 °C (lit.)

application(s)

food and beverages

format

neat

storage temp.

2-8°C

SMILES string

C[C@@H](O)[C@H](O)[C@H](O)[C@@H](O)C=O

InChI

1S/C6H12O5/c1-3(8)5(10)6(11)4(9)2-7/h2-6,8-11H,1H3/t3-,4+,5+,6-/m1/s1

InChI key

PNNNRSAQSRJVSB-DPYQTVNSSA-N

Looking for similar products? Visit Product Comparison Guide

General description

D-(+)-Fucose belonging to the class of sugars (saccharides), is a component of simple glycosides comprising of a few sugar units, generally limited to plant products, microbial, and antibiotic substances.

Application

D-(+)-Fucose may be used as an analytical reference standard for the determination of the analyte in environmental samples using gas chromatography coupled to mass spectrometry (GC–MS) technique.

Storage Class Code

13 - Non Combustible Solids

WGK

WGK 3

Flash Point(F)

Not applicable

Flash Point(C)

Not applicable

Regulatory Information

涉药品监管产品

Choose from one of the most recent versions:

Certificates of Analysis (COA)

Lot/Batch Number

Don't see the Right Version?

If you require a particular version, you can look up a specific certificate by the Lot or Batch number.

Already Own This Product?

Find documentation for the products that you have recently purchased in the Document Library.

Visit the Document Library

Challenges in the enantioanalysis of fucose using stochastic and potentiometric microsensors
Moldoveanu I, et al.
Sensing and Bio-Sensing Research, 1, 1-7 (2014)
Development of Gradient Retention Model in Ion Chromatography. Part II: Artificial Intelligence QSRR Approach
Ukic S, et al.
Chromatographia, 77, 997-1007 (2014)

Our team of scientists has experience in all areas of research including Life Science, Material Science, Chemical Synthesis, Chromatography, Analytical and many others.

Contact Technical Service