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rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2009-7-10
pubmed:abstractText
A similarity measure was developed that can differentiate between two-dimensional fluorescent spectra based on their similarities and differences. The two-dimensional fluorescent spectra are digitalized into matrices. The difference between the two spectra is defined by a difference matrix, whose elements contain the difference of one two-dimensional fluorescent spectrum minus the other. The similarity measure is transformed into hypothesis tests of the similarity and difference between the two spectra. The scalar mean of the difference matrix is used as the statistical variable for the hypothesis test. The Bayesian prior odds ratio was estimated from multiple spectra of the same reference sample. A threshold for the hypothesis test that the spectra are different is proposed. The posterior odds ratio was used to quantify the similarity measure of the two spectra. Two-dimensional fluorescent spectra of Changyu red wine samples were used to demonstrate this method. The results show that this new method can detect differences between the spectra.
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:month
Jul
pubmed:issn
1943-3530
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
63
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
810-4
pubmed:year
2009
pubmed:articleTitle
A similarity measure for two-dimensional fluorescent spectra.
pubmed:affiliation
School of Chemistry and Chemical Engineering, Sun Yat-sen University, Guangzhou 510275, P. R. China.
pubmed:publicationType
Journal Article