Linked Life Data

18373083

Source:http://linkedlifedata.com/resource/pubmed/id/18373083

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2010-11-30
pubmed:abstractText
Absolute protein quantification has become an important challenge in modern bioanalytical chemistry. Among several approaches based on mass spectrometric techniques, inductively coupled plasma (ICP) as ionisation source provides element-selective and sensitive detection of heteroatoms, and thus, a potentially emerging tool in protein analysis. In this work we applied coupling of capillary liquid chromatography (?LC) and inductively coupled plasma-sector field mass spectrometry (ICP-SFMS) to the separation and determination of standard proteins. For quantification purposes, post-column isotope dilution of sulfur was applied and optimised for this type of hyphenated technique. Provided that the protein sequence is known (number of sulfur-containing amino acids, i.e. cysteines and methionines) the protein amount can then be directly calculated from the determined sulfur content in a certain protein fraction. In order to prove the reliability of the presented method, two different certified reference materials were analysed: CRM 393 (human apolipoprotein A-I) and CRM 486 (?-fetoprotein). For CRM 393 excellent agreement (37.0?±?1.4 ?mol L(-1)) was obtained with the certificate (37.7?±?1.8 ?mol L(-1)). However, the recovery rate for ?-fetoprotein in CRM 486 was found to be about 60% indicating incomplete elution of the protein during the chromatographic separation.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1618-2650
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
391
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
537-43
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
?LC coupled to ICP-SFMS with post-column isotope dilution analysis of sulfur for absolute protein quantification.
pubmed:affiliation
Molecular Structure Analysis, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't