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GE45152105050250

SpeedBeads magnetic carboxylate modified particles

Cytiva 45152105050250, 1 μm avg. part. size, suspension (5% Solids)

Sinónimos:

SpeedBeads

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About This Item

UNSPSC Code:
12352202
NACRES:
NA.56

ligand

(carboxylate modified particles)

form

suspension (5% Solids)

packaging

pkg of 15 mL

manufacturer/tradename

Cytiva 45152105050250

concentration

50 mg/mL

avg. part. size

1 μm

shipped in

wet ice

storage temp.

2-8°C

Application

Sera-Mag SpeedBeads and Sera-Mag Carboxylate-Modified Magnetic Particles typical application uses include sample preparation, proteomics, nucleic acid isolation, and immunoassay applications.

Features and Benefits

Sera-Mag SpeedBeads and Sera-Mag Carboxylate-Modified Magnetic Particles allow convenient covalent coupling of target molecules.

  • Carboxylic groups on the surface permit easy covalent coupling to biomolecules of interest using convenient carbodiimide chemistry.
  • Different levels of hydrophobicity/hydrophilicity available.
  • Available in Sera-Mag SpeedBeads and original Sera-Mag versions.
  • Excellent sensitivity and low nonspecific binding for greater accuracy.
  • Fast Magnetic Response Times and Stable Physical Integrity

Storage and Stability

4 °C

Analysis Note

To view the Certificate of Analysis for this product, please visit www.cytiva.com.

Legal Information

Sera-Mag is a trademark of Cytiva

Storage Class

12 - Non Combustible Liquids

wgk_germany

WGK 3

flash_point_f

Not applicable

flash_point_c

Not applicable


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Certificados de análisis (COA)

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Jan Leipert et al.
Lab on a chip, 19(20), 3490-3498 (2019-09-19)
While LC-MS-based proteomics with high nanograms to micrograms of total protein has become routine, the analysis of samples derived from low cell numbers is challenged by factors such as sample losses, or difficulties encountered with the manual manipulation of small
Georg Michlits et al.
Nature methods, 14(12), 1191-1197 (2017-10-19)
Pooled CRISPR screens are a powerful tool for assessments of gene function. However, conventional analysis is based exclusively on the relative abundance of integrated single guide RNAs (sgRNAs) between populations, which does not discern distinct phenotypes and editing outcomes generated

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