Linked Life Data

11512982

Source:http://linkedlifedata.com/resource/pubmed/id/11512982

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 2
pubmed:dateCreated
2001-8-21
pubmed:abstractText
We present a method for determining the chemical speciation of metals in environmental particles based on Quick-X-ray Absorption Spectroscopy. The approach can be applied to either the extended or the near edge fine structure, and consists in the decomposition of the XAS spectrum of an unknown sample on a reference set of standards' spectra using quadratic linear programming. The analysis accounts for the statistical experimental errors generated during the acquisition of X-ray absorption data, and leads to error estimates on the various fractions determined via a Monte Carlo procedure. An application example is presented for the speciation of inorganic Zn in a contaminated sediment sample.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0909-0495
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
8
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
928-30
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Quick X-ray absorption spectroscopy for determining metal speciation in environmental samples.
pubmed:affiliation
Northwestern University, Department of Civil Engineering, Evanston, Illinois 6028-3109, USA. jf-gaillard@northwestern.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.